2018

[Journals]

  • Hongle Wu, Takafumi Kato, Masayuki Numao, and Ken-ichi Fukui. “Statistical Sleep Pattern Modelling for Sleep Quality Assessment based on Sound Events”, Health Information Science and Systems, 2018. (in press)

2017

[Journals]

  • Wataru Fujita, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Two-Stage Reinforcement Learning Algorithm for Quick Cooperation in Repeated Games”, Transactions on Computational Collective Intelligence, 2017. (in Press)
  • Hongle Wu, Takafumi Kato, Tomomi Yamada, Masayuki Numao, and Ken-ichi Fukui. “Personal Sleep Pattern Visualization using Sequence-based Kernel Self-Organizing Map on Sound Data “, Artificial Intelligence in Medicine, vol. 80, pp. 1-10, July 2017.

[Conferences and Workshops]

  • Hongle Wu, Takafumi Kato, Tomomi Yamada, Masayuki Numao, and Ken-ichi Fukui. ““Personal Sleep Pattern Visualization via Clustering on Sound Data”, Proc. AAAI 2017 Joint Workshop on Health Intelligence, San Francisco, USA, Feb. 2017.
  • Wasin Kalintha, Satoshi Ono, Masayuki Numao, and Ken-ichi Fukui. “Kernelized Evolutionary Distance Metric Learning for Semi-supervised Clustering”, Proc. 31st AAAI Conference on Artificial Intelligence, Student Abstract and Poster Program, San Francisco, USA, Feb. 2017.
  • Nattapong Thammasan, Ken-ichi Fukui, and Masayuki Numao. “Multimodal fusion of EEG and musical features in music-emotion recognition”, Proc. 31st AAAI Conference on Artificial Intelligence, Student Abstract and Poster Program, San Francisco, USA, Feb. 2017.
  • Sirawit Sopchoke, Ken-ichi Fukui, and Masayuki Numao. “Bisociative Serendipity Music Recommendation”, Workshop on Computation: Theory and Practice (WCTP-2017), Sep. 2017.
  • Nattapong Thammasan, Juan Lorenzo Hagad, Ken-ichi Fukui, and Masayuki Numao. “Multimodal Stability-Sensitive Emotion Recognition based on Brainwave and Physiological Signals”, Proc. The 5th International Workshop on Context Based Affect Recognition (CBAR2017) held in conjunction with the seventh International Conference on Affective Computing and Intelligent Interaction (ACII2017), Oct. 2017. (to appear)
  • Bassel Ali, Ken-ichi Fukui, Wasin Kalintha, Koichi Moriyama, and Masayuki Numao. “Reinforcement Learning based Distance Metric Filtering Approach in Clustering”, Proc. 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017), Nov. 2017. (to appear)

2016

[Journals]

  • Danaipat Sodkomkham, Davide Ciliberti, Matthew A. Wilson, Ken-ichi Fukui, Koichi Moriyama, Masayuki Numao, and Fabian Kloosterman. “Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes”, Knowledge-Based Systems, vol. 94, pp. 1-12, Feb. 2016.
  • Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Continuous Music-emotion Recognition Based on Electroencephalogram”, IEICE Transactions, E99-D (4). p. 1234–1241, Apr. 2016.
  • Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Familiarity Effects in EEG-based Emotion Recognition”, Brain Informatics, pp. 1-12, Apr. 2016.
  • Keiko Hori, Takanori Matsui, Takashi Hasuike, Ken-ichi Fukui, and Takashi Machimura. “Development and Application of the Renewable Energy Regional Optimization Utility Tool for Environmental Sustainability: REROUTES”, Renewable Energy, vol. 93, pp. 548-561, Aug. 2016.
  • Tomoko Kashima, Shimpei Matsumoto, Ken-ichi Fukui, and Takashi Hasuike. “Food CMS, Integrated Information Sharing System of Food Production, Marketing, and Consumption”, Information Engineering Express, 2 (3). pp. 31-42, Sep. 2016.

[Conferences and Workshops]

  • Wataru Fujita, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Adaptive Two-stage Learning Algorithm for Repeated Games”, Proc. The 8th International Conference on Agents and Artificial Intelligence (ICAART2016), pp. 47-55, Rome, Italy, Feb. 2016. (Best Student Paper Award)
  • Nattapong Thammasan, Ken-ichi Fukui, and Masayuki Numao. “Application of Deep Belief Networks in EEG-based Dynamic Music-emotion Recognition”, Proc. The International Joint Conference on Neural Networks (IJCNN 2016), pp. 881-888, Vancouver, Canada, Jul. 2016.
  • Wu Hongle, Takafumi Kato, Tomomi Yamada, Masayuki Numao, and Ken-ichi Fukui. “Sleep Pattern Discovery via Visualizing Cluster Dynamics of Sound Data”, Proc. The 29th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2016), pp. 460-471, Iwate, Japan, Aug. 2016.
  • Nattapong Thammasan, Ken-ichi Fukui, and Masayuki Numao. “Application of Annotation Smoothing for Subject-independent Emotion Recognition based on Electroencephalogram”, Proc. 7th International Workshop on Empathic Computing (IWEC 2016), in conjunction with PRICAI 2016, Phuket, Thailand, Aug. 2016. (Best Workshop Paper)
  • Juan Lorenzo Hagad, Ken-ichi Fukui, and Masayuki Numao. “Multimodal Latent Feature Learning for Psycho-Physiological Stress Modelling and Detection”, Proc. 7th International Workshop on Empathic Computing (IWEC 2016), in conjunction with PRICAI 2016, Phuket, Thailand, Aug. 2016.
  • Nirattaya Khamsemanan, Cholwich Nattee, and Masayuki Numao. “Distance-based Evaluation Function for Firstorder Rule Construction”, Proc. 26th International Conference on Inductive Logic Programming (ILP 2016), London, Sep. 2016.
  • Nattapong Thammasan, Ken-ichi Fukui, and Masayuki Numao. “An Investigation of Annotation Smoothing for EEG-based Continuous Music-emotion Recognition”, Proc. The 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), pp. 3323-3328, Budapest, Hungary, Oct. 2016.
  • Wasin Kalintha, Satoshi Ono, Masayuki Numao, and Ken-ichi Fukui. “Integrating Class Information and Features in Cluster Analysis based on Evolutionary Distance Metric Learning”, Proc. the 20th Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES-2016), pp. 165-181, Canberra, Australia, Nov. 2016.
  • Nattapong Thammasan, Megumi Iwano, Koichi Moriyama, Ken-ichi Fukui, Kornraphop Kawintiranon, Yanika Buatong, Shigenori Inagaki, Takeharu Nagai, and Masayuki Numao. “An Investigation of Effect of Bioluminescent Light on Human using Electroencephalogram “, Proc. The 23nd International Display Workshop in conjunction with Asia Display (IDW/AD2016), pp. 57-60, Fukuoka, Japan, Dec. 2016.
  • Shogo Hayashi, Satoshi Ono, Shigeki Hosoda, Masayuki Numao, and Ken-ichi Fukui. “Error Detection of Ocean Depth Series Data with Area Partitioning and Using Sliding Window”, Proc. IEEE 15th International Conference on Machine Learning and Applications (ICMLA 2016), pp. 1029-1033, California, USA, Dec. 2016. (poster)
  • Sirawit Sopchoke, Luc De Raedt, Ken-ichi Fukui, and Masayuki Numao. “Cross-domain Recommendation in Heterogeneous Settings”, Proc. The 20th SANKEN International The 15 SANKEN Nanotechnology Symposium, Osaka, Dec. 2016. (poster)
  • Nattapong Thammasan, Kornraphop Kawintiranon, Yanika Buatong, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Dry electrode EEG-based music emotion recognition”, Proc. The 20th SANKEN International The 15 SANKEN Nanotechnology Symposium, Osaka, Dec. 2016. (poster)
  • Tomoko Kashima, Shimpei Matsumoto, Takashi Hasuike, and Ken-ichi Fukui. “Implementation of Integrated Information Sharing System of Food Production, Marketing, and Consumption”, Proc. 2016 5th IIAI International Congress on Advanced Applied Informatics, pp. 791-796, Kumamoto, July 2016.
  • Keiko Hori, Takanori Matsui, Satoshi Ono, Ken-ichi Fukui, Takashi Hasuike, and Takashi Machimura. “Development and Application of a Multi-Objective Optimization Tool for Renewable Energy Mix in Municipalities”, Proc. The 12th Biennial International Conference on EcoBalance, Kyoto, Oct. 2016.
  • Yusuke Kamikawaji, Haruki Matsuyama, Ken-ichi Fukui, Shigeki Hosoda, and Satoshi Ono. “Feature Function Design in Conditional Random Field Using Decision Tree Learning Applied to Error Detection of Ocean Observation Data”, Proc. The 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Athens, Greece, Dec. 2016.

2015

[Books]

  • Danaipat Sodkomkham, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors”, Mining, Modeling, and Recommending ‘Things’ in Social Media (MUSE2013 Revised Selected Papers), Lecture Notes in Computer Science. Springer. vol. 8940, pp. 131-149, 2015.

[Journals]

  • Nagayoshi Yamashita, Masayuki Numao, and Ryutato Ichise. “Predicting Research Trends Identified by Research Histories via Breakthrough Researches”, IEICE Transactions on Information and Systems, E98-D (2). pp. 355-362, Feb. 2015.
  • Vanus Vachiratamporn, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “An Analysis of Player Affect Transitions in Survival Horror Games”, Journal on Multimodal User Interfaces, 9 (1). pp. 43-54, Mar. 2015.
  • Ira Puspitasari, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Effects of Individual Health Topic Familiarity on the Activity Pattern during Health Information Searches”, JMIR Medical Informatics, 3 (1). p. e16, Mar. 2015.

[Conferences and Workshops]

  • Taishi Megano, Ken-ichi Fukui, Masayuki Numao, and Satoshi Ono. “Evolutionary Multi-objective Distance Metric Learning for Multi-label Clustering”, Proc. IEEE Congress on Evolutionary Computation (CEC2015), pp. 2945-2952, Sendai, Japan, May 2015.
  • Yoshiyuki Okada, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “Cluster Sequence Mining: Causal Inference with Time and Space Proximity under Uncertainty”, Proc. The 19th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD2015), (LNAI 9078), pp. 293-304, Ho-Chi-Minh, Vietnam, May 2015.
  • Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Investigation of Familiarity Effects in Music-Emotion Recognition based on EEG”, Proc. the 2015 International Conference on Brain Infomatics and Health (BIH’15) (LNAI 9250), pp. 242-251, London, UK, Aug./Sep. 2015.
  • Kazuki Asayama, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Prediction as Faster Perception in a Real-time Fighting Video Game”, Proc. the 2015 IEEE Conference on Computational Intelligence and Games (CIG 2015), pp. 517-522, Tainan, Taiwan, Aug./Sep. 2015.
  • Yusuke Sakamoto, Mai Furukawa, Ken-ichi Fukui, Joao Gama, Daniela Nicklas, Koichi Moriyama, and Masayuki Numao. “Concept Drift Detection with Self-Organizing Map for Damage Monitoring”, Workshop on Computation: Theory and Practice (WCTP-2015), Cebu, Philippines, Sep. 2015. (abstract only)
  • Wu Hongle, Ken-ichi Fukui, Takafumi Kato, and Masayuki Numao. “Individual Sleep Pattern Characterization via Cluster Analysis of Audio Data”, Workshop on Computation: Theory and Practice (WCTP-2015), Cebu, Philippines, Sep. 2015. (abstract only)
  • Naoki Tsuchiya, Takami Koori, Masayuki Numao, and Noriko Otani. “Training Dataset to Induce the Personal Sensibility Model for a Music Composition System”, Proceedings of International Workshop on Informatics (IWIN’2015), pp. 193-197, Amsterdam, Nederland, Sep. 2015.
  • Yusuke Sakamoto, Ken-ichi Fukui, Joao Gama, Daniela Nicklas, Koichi Moriyama, and Masayuki Numao. “Concept Drift Detection with Clustering via Statistical Change Detection Methods”, Proc. The Seventh International Conference on Knowledge and Systems Engineering (KSE2015), pp. 37-42, Ho-Chi-Minh, Vietnum, Oct. 2015.
  • Juan Lorenzo Hagad, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Modeling Work Stress using Heart Rate and Stress Coping Profiles”, Proc. 6th International Workshop on Empathic Computing (IWEC 2015), in conjunction with PRIMA 2015, Bertinoro, Italy, Oct. 2015.
  • Nattapong Thammasan, Kornraphop Kawintiranon, Yanika Buatong, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Dry electrode EEG-based music emotion recognition”, Proc. The 19th SANKEN International The 14 SANKEN Nanotechnology Symposium, Dec. 2015. (poster)
  • Ryosuke Otsuki, Ken-ichi Fukui, Koichi Moriyama, Noriko Otani, and Masayuki Numao. “A Combination Method of Multi-layer Perceptron and Hierarchical Clustering to Estimate Affect of Similar Users on Music”, Proc. The 19th SANKEN International The 14 SANKEN Nanotechnology Symposium, Dec. 2015. (poster)
  • Wasin Kalintha, Taishi Megano, Satoshi Ono, Ken-ichi Fukui, and Masayuki Numao. “Cluster Analysis of Face Images and Literature Data by Evolutionary Distance Metric Learning”, Proc. Thirty-fifth SGAI International Conference on Artificial Intelligence (AI-2015), pp. 301-315, Cambridge, UK, Dec. 2015.
  • Satoshi Ono, Haruki Matsuyama, Ken-ichi Fukui, and Shigeki Hosoda. “Error Detection of Oceanic Observation Data Using Sequential Labeling”, Proc. the 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA2015), Paris, France, Oct. 2015.

2014

[Books]

  • Shin-ya Nishizaki, Masayuki Numao, Jaime D L Caro, and Merlin Teodosia C Suarez. “Theory and Practice of Computation, Proceedings of Workshop on Computation: Theory and Practice WCTP2013″, World Scientific. 2014.

[Invited Talk]

  • Masayuki Numao, “Distributed Inference to Support Inter-Subjective Interpretation of Behavior”, The 17th SANKEN International Symposium, Osaka, Japan, Jan. 21-22 2014.
  • Masayuki Numao, “Distributed Inference to Support Inter-Subjective Formalization”, Spring workshop on Mining and Learning 2014, Oostende, Belgium, Mar. 10-12 2014.
  • Masayuki Numao, “Emotion detection from several physiological sensors and its application to music and games”, The 2nd International Workshop on Emotional Materials and Components, Seoul Palace Hotel, Seoul, Sep. 26 2014.

[Journals]

  • Koichi Moriyama, Simon Enrique Ortiz Branco, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao. “An Intelligent Fighting Videogame Opponent Adapting to Behavior Patterns of the User”, IEICE Transactions on Information and Systems, E97-D (4). pp. 842-851, Apr. 2014.
  • Yoshiyuki Okada, Keisuke Ikeda, Kosuke Shinoda, Fujio Toriumi, Takeshi Sakaki, Kazuhiro Kazama, Masayuki Numao, Itsuki Noda, and Satoshi Kurihara. “SIR-Extended Information Diffusion Model of False Rumor and its Prevention Strategy for Twitter”, Journal of Advanced Computational Intelligence and Intelligent Informatics, 18 (4). pp. 598-607, July 2014.
  • Ken-ichi Fukui, Daiki Inaba, and Masayuki Numao. “Discovering Seismic Interactions after the 2011 Tohoku Earthquake by Co-occurring Cluster Mining”, Transactions of Japanese Society for Artificial Intelligence, 29 (6). pp. 493-502, Sep. 2014.
  • Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Sidekick: A Tool for Helping Students Manage Behavior in Self-initiated Learning Scenarios”, International Journal of Distance Education Technologies, 12 (4). pp. 32-54, Dec. 2014.

[Conferences and Workshops]

  • V. Vachiratamporn, K. Fukui, K. Moriyama, and M. Numao. “Design and Development of an Affective Survivor Horror Game: An Investigation on Player Affect”, Proc. The 17th SANKEN International Symposium, Osaka, Japan, Jan. 21-22 2014. (poster)
  • I. Puspitasari, K. Fukui, K. Moriyama, and M. Numao. “Personalizing Health Information Retrieval System by Context and Health Topic Familiarity”, Proc. The 17th SANKEN International Symposium, Osaka, Japan, Jan. 21-22 2014. (poster)
  • Danaipat Sodkomkham. “Long-Term Human Mobility Prediction Using Simple Sensors”, Spring workshop on Mining and Learning 2014, Oostende, Belgium, Mar. 10-12 2014. (poster)
  • Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Cooperation-Eliciting Prisoner’s Dilemma Payoffs for Reinforcement Learning Agents”, The 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), pp. 1619-1620, Paris, France, May 5-9 2014.
  • Ken-ichi Fukui, Daiki Inaba, and Masayuki Numao. “Discovery of Damage Patterns in Fuel Cell and Earthquake Occurrence Patterns by Co-occurring Cluster Mining”, The 2014 AAAI Workshop for Discovery Informatics, pp. 19-26, Quebec, Canada, July 27 2014.
  • Vanus Vachiratamporn, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “An Implementation of Affective Adaptation in Survival Horror Games”, Proc. the 2014 IEEE Conference on Computational Intelligence and Games (CIG 2014), pp. 263-270, Dortmund, Germany, Aug. 2014.
  • Nirattaya Khamsemanan, Cholwich Nattee, and Masayuki Numao. “A First-Order Logic Representation Based Distance Function”, Proc. 24th International Conference on Inductive Logic Programming, Nancy, France, Sep. 2014.
  • Nirattaya Khamsemanan, Cholwich Nattee, and Masayuki Numao. “Visualizations of First-Order Logic Representation Based Dataset”, Proc. 24th International Conference on Inductive Logic Programming, Nancy, France, Sep. 2014.
  • Kevin Fischer, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Fighter or Explorer? – Classifying Player Types in a Japanese-Style Role-Playing Game from Game Metrics”, Proc. Workshop on Computation: Theory and Practice (WCTP-2014), pp. 55-66, Manila, Philippines, Oct. 2014.
  • Wataru Fujita, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Learning better strategies with a combination of complementary reinforcement learning algorithms”, Proc. Workshop on Computation: Theory and Practice (WCTP-2014), pp. 43-54, Manila, Philippines, Oct. 2014.
  • Nattapong Thammasan, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “Dynamic and Individual Emotion Recognition Based on EEG during Music Listening”, Proc. Workshop on Computation: Theory and Practice (WCTP-2014), pp. 87-98, Manila, Philippines, Oct. 2014.
  • Yusuke Sakamoto, Ken-ichi Fukui, Daniela Nicklas, Koichi Moriyama, and Masayuki Numao. “Detection of Concept Drift on an Adaptive Monitoring System”, Proc. Workshop on Computation: Theory and Practice (WCTP-2014), Manila, Philippines, Oct. 2014. (abstract only)
  • Ira Puspitasari, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “Predicting Consumer Familiarity with Health Topics by Query formulation and Search Result Interaction”, Proc. the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014), Lecture Notes in Artificial Intelligence 8862, pp. 1016-1022, Gold Coast, Australia, Dec. 2014.
  • Noriko Otani, Shoko Shirakawa, and Masayuki Numao. “Symbiotic Evolution to Generate Chord Progression Consisting of Four Parts for a Music Composition System”, Proc. the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014), Lecture Notes in Artificial Intelligence 8862, pp. 849-855, Gold Coast, Australia, Dec. 2014.
  • Peerapon Vateekul, Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Item-Based Learning for Music Emotion Prediction Using EEG Data”, Proc. 5th International Workshop on Empathic Computing (IWEC’14)”’ held in conjunction with PRICAI-2014, Gold Coast, Australia, Dec. 2014.
  • Noriko Otani, Shoko Shirakawa, and Masayuki Numao. “Design of Populations in Symbiotic Evolution to Generate Chord Progression in Consideration of the Entire Music Structure”, Proc. 5th International Workshop on Empathic Computing (IWEC’14)”’ held in conjunction with PRICAI-2014, Gold Coast, Australia, Dec. 2014.
  • Danaipat Sodkomkham and Fabian Kloosterman. “Fast Kernel Compression for Real-time Decoding of Unsorted Spikes”, Proc. The 18th SANKEN International Symposium, Osaka, Dec. 2014.
  • Satoshi Ono, Haruki Matsuyama, Ken-ichi Fukui, and Shigeki Hosoda. “A Preliminary Study on Quality Control of Oceanic Observation Data by Machine Learning Methods”, Proc. The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES’2014), pp. 679-693, Singapore, Nov. 2014.

2013

[Invited Talk]

  • Ken-ichi Fukui, Daiki Inaba, Kazuhisa Sato, Masayuki Numao, “Data Mining for Revealing Damage Phenomena in a Fuel Cell”, The 16th SANKEN International Symposium, Osaka, Jan. 23 2013.
  • “Distributed Inference to Support Inter-Subjective Empathic Computing”, Manila, Philippines, Sep. 30 – Oct. 1 2013.

[Journals]

  • Rafael Cabredo, Roberto Legaspi, Paul Salvador Inventado, and Masayuki Numao. “Discovering Emotion-Inducing Music Features Using EEG Signals”, Journal of Advanced Computational Intelligence and Intelligent Informatics, 17 (3). pp. 362-370, May 2013.

[Conferences and Workshops]

  • Yu Yamano, Rafael Cabredo, Paul Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao. “Investigating the Relation between Brainwaves and Emotions in Music”, Proc. The 16th SANKEN International Symposium, pp. 59-60, Osaka, Jan. 23 2013.
  • Junya Nakase, Koichi Moriyama, Kiyoshi Kiyokawa, Masayuki Numao, Mayumi Oyama, and Satoshi Kurihara. “Effective Awaking Interaction Learning System that Uses Vital Sensing”, Proc. 2013 IEEE SENSORS APPLICATIONS SYMPOSIUM, pp. 104-108, Galveston, Texas, USA, Feb. 19-21 2013.
  • Junya Nakase, Koichi Moriyama, Kiyoshi Kiyokawa, Masayuki Numao, Mayumi Oyama, and Satoshi Kurihara. “Learning system for adapting users with user’s state classification by vital sensing”, Proc. The 2nd International Workshop on Ambient Information Technologies(AMBIT2013) (held in conjunction with IEEE VR 2013), Orlando, Florida, USA, Mar. 17 2013. (poster)
  • Mondheera Pituxcoosuvarn, Roberto Legaspi, Cabredo Rafael, Ken-ichi Fukui, Koichi Moriyama, Noriko Otani, Satoshi Kurihara, and Masayuki Numao. “A Comparison between Genetic and Memetic Algorithm for Automated Music Composition System”, Proc. The 27th Annual Conference of The Japanese Society for Artificial Intelligence (JSAI2013), Toyama, Japan, June 2013.
  • Vanus Vachiratamporn, Paul Inventado, Roberto Legaspi, Koichi Moriyama, and Masayuki Numao. “An analysis of affective state transitions in survival horror game with the aid of player self-reports and physiological signals”, Proc. The 27th Annual Conference of The Japanese Society for Artificial Intelligence (JSAI2013), Toyama, Japan, June 2013.
  • Puspitasari Ira, Roberto Legaspi, and Masayuki Numao. “Characterizing the Effect of Consumer Familiarity with Health Topics on Health Information Seeking Behavior”, Proc. The 27th Annual Conference of The Japanese Society for Artificial Intelligence (JSAI2013), Toyama, Japan, June 2013.
  • Paul Salvador Inventado, Roberto Legaspi, and Masayuki Numao. “Helping Students Manage Personalized Learning Scenarios”, Proc. The 6th International Conference on Educational Data Mining (EDM 2013), pp. 244-247, Tennessee, USA, July 2013. (poster)
  • Paul Salvador Inventado, Roberto Legaspi, Cabredo Rafael, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao. “Identification of effective learning behaviors”, Proc. The 16th International Conference on Artificial Intelligence in Education (AIED 2013) (LNCS 7926), pp. 670-673, Tennessee, USA, July 2013. (poster)
  • Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “An architecture for identifying and using effective learning behavior to help students manage learning”, Proc. Formative Feedback in Interactive Learning Environments (a workshop at AIED 2013), Tennessee, USA, July 2013.
  • Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Modeling Affect in Self-directed Learning Scenarios”, Proc. 4th International Workshop on Empathic Computing (IWEC’13) held in conjunction with IJCAI-13, Beijing, China, Aug. 2013.
  • Puspitasari Ira, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “Personalization Approach in Health Information Retrieval System”, Proc. 4th International Workshop on Empathic Computing (IWEC’13) held in conjunction with IJCAI-13, Beijing, China, Aug. 2013.
  • Vanus Vachiratamporn, Roberto Legaspi, Paul Inventado, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “An analysis of player affect in survival horror game using physiological signals and player self-reports”, Proc. 4th International Workshop on Empathic Computing (IWEC’13) held in conjunction with IJCAI-13, Beijing, China, Aug. 2013.
  • Noriko Otani, Ryoko Kamimura, Yu Yamano, and Masayuki Numao. “Generation of Rhythm for Melody in a Constructive Adaptive User Interface”, Proc. 4th International Workshop on Empathic Computing (IWEC’13) held in conjunction with IJCAI-13, Beijing, China, Aug. 2013.
  • Danaipat Sodkomkham, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “APP: Aperiodic and Periodic Model for Long-Term Human Mobility Prediction Using Ambient Simple Sensors”, Proc. 4th International Workshop on Mining Ubiquitous and Social Environments (MUSE) held in conjunction with ECML-PKDD 2013, Prague, Czech, Sep. 2013.
  • Ira Puspitasari, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “Health Information Search Personalization with Semantic Network User Model”, Proc. Workshop on Computation: Theory and Practice (WCTP-2013), pp. 168-177, Manila, Philippines, Sep. 30 – Oct. 1 2013.
  • Paul Salvador Inventado, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “Building Incremental Affect Models to Help Students Annotate and Analyze their Behavior in Self-Directed Learning Scenarios”, Proc. Workshop on Computation: Theory and Practice (WCTP-2013), pp. 144-155, Manila, Philippines, Sep. 30 – Oct. 1 2013.
  • Vanus Vachiratamporn, Roberto Legaspi, Koichi Moriyama, and Masayuki Numao. “Towards the Design of Affective Survival Horror Games: an Investigation on Player Affect”, Proc. 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII-2013), pp. 576-581, Geneva, Switzerland, Sep. 2-5 2013.
  • Ken-ichi Fukui, Kazuhisa Sato, Toshiyuki Hashida, Junichiro Mizusaki, and Masayuki Numao. “Intelligent Analysis For Evaluating Physical Degradation Using Acoustic Emission”, Proc. 13th International Symposium on Solid Oxide Fuel Cells (SOFC-XIII) (ECS Transactions, Volume 57), pp. 571-580, Okinawa, Japan, Oct. 2013.
  • Ken-ichi Fukui, Satoshi Ono, Taishi Megano, and Masayuki Numao. “Evolutionary Distance Metric Learning Approach to Semi-Supervised Clustering with Neighbor Relations”, Proc. of 25th IEEE International Conference on Tools with Artificial Intelligence (ICTAI-13), pp. 398-403, Washington DC, USA, Nov. 2013.
  • Paul Salvador Inventado, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “Towards Building Incremental Affect Models in Self-Directed Learning Scenarios”, Proc. The 21st International Conference on Computers in Education (ICCE 2013), pp. 170-172, Bali, Indonesia, Nov. 2013. (poster)
  • Satoshi Kurihara, Koichi Moriyama, and Masayuki Numao. “Context-Aware Application Prediction and Recommendation in Mobile Devices”, Proc. 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies (WI/IAT 2013), pp. 494-500, Atlanta, USA, Nov. 2013.
  • Satoshi Kurihara, Koichi Moriyama, and Masayuki Numao. “Proposition of the Context-Aware Application Prediction Mechanism for Mobile Devices”, The 2nd International Workshop on Data Oriented Constructive Mining and Multi-agent Simulation (DOCMAS 2013) included in Proc. IEEE/WIC/ACM WI/IAT 2013, pp. 118-121, Atlanta, USA, Nov. 2013.

2012

[Invited Talk]

  • Ken-ichi Fukui, “Revealing Damage Mechanism of a Fuel Cell: Data Mining for a Physical Phenomenon”, Workshop on Computation: Theory and Practice (WCTP 2012) (PICT 7), De La Salle University, Philippines, Sep. 27-28 2012.

[Conferences and Workshops]

  • Masayuki Numao, Rafael Cabredo, Danaipat Sodkomkham, Kazuya Maruo, Roberto Legaspi, Kenichi Fukui, Koichi Moriyama, and Satoshi Kurihara. “Extracting Time Series Motifs for Emotion and Behavior Modeling”, Proc. The 15th SANKEN International Symposium, pp. 36-37, Osaka, Japan, Jan. 2012.
  • Junya Nakase, Koichi Moriyama, Kiyoshi Kiyokawa, Masayuki Numao, Mayumi Oyama, and Satoshi Kurihara. “Adaptive interactive device control by using reinforcement learning in ambient information environment”, Proc. The 1st International Workshop on Ambient Information Technologies(AMBIT2012) (held in conjunction with IEEE VR 2012), pp. 24-27, Orange County, CA, Mar. 5 2012.
  • Hironori Shigeta, Junya Nakase, Yuta Tsunematsu, Kiyoshi Kiyokawa, Masahide Hatanaka, Kazufumi Hosoda, Masashi Okada, Yasunori Ishihara, Fukuhito Ooshita, Hirotsugu Kakugawa, Satoshi Kurihara, and Koichi Moriyama. “Implementation of a Smart Office System in an Ambient Environment”, Proc. The 1st International Workshop on Ambient Information Technologies(AMBIT2012) (held in conjunction with IEEE VR 2012), pp. 28-29, Orange County, CA, Mar. 5 2012.
  • Kiyoshi Kiyokawa, Masahide Hatanaka, Kazufumi Hosoda, Masashi Okada, Hironori Shigeta, Yasunori Ishihara, Fukuhito Ooshita, Hirotsugu Kakugawa, Satoshi Kurihara, and Koichi Moriyama. “Owens Luis – A Context-aware Multi-modal Smart Office Chair in an Ambient Environment”, Proc. The 1st International Workshop on Ambient Information Technologies(AMBIT2012) (held in conjunction with IEEE VR 2012), pp. 6-9, Orange County, CA, Mar. 5 2012.
  • Ken-ichi Fukui and Masayuki Numao. “Neighborhood-based Smoothing of External Cluster Validity Measures”, Proc. The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-12) (Lecture Notes in Artificial Intelligence 7301), pp. 354-365, Kuala Lumpur, Malaysia, May/June 2012.
  • Daiki Inaba, Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, and Masayuki Numao. “Co-occurring Cluster Mining for Damage Patterns Analysis of a Fuel Cell”, Proc. The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-12) (Lecture Notes in Artificial Intelligence 7301), pp. 49-60, Kuala Lumpur, Malaysia, May/June 2012.
  • Dataipat Sodkomkham, Roberto Legaspi, Satoshi Kurihara, and Masayuki Numao. “A Study on Next Location Predictive Modeling using Mined Temporal Sequential Patterns as input to a Decision Tree”, Proc. The 26th Annual Conference of The Japanese Society for Artificial Intelligence (JSAI2012) on CD-ROM, Yamaguchi, Japan, June 2012.
  • Anh Mai, Roberto Legaspi, Paul Inventado, Rafael Cabredo, Satoshi Kurihara, and Masayuki Numao. “A Model for Sitting Postures in relation to Learning and Non-learning Behaviors”, Proc. The 26th Annual Conference of The Japanese Society for Artificial Intelligence (JSAI2012) on CD-ROM, Yamaguchi, Japan, June 2012.
  • Rafael Cabredo, Paul Inventado, Roberto Legaspi, and Masayuki Numao. “Discovering emotion motifs in symbolic music”, Proc. The 26th Annual Conference of The Japanese Society for Artificial Intelligence (JSAI2012) on CD-ROM, Yamaguchi, Japan, June 2012.
  • Cholwich Nattee, Nirattaya Khamsemanan, Thanaruk Theeramunkong, and Masayuki Numao. “A Density-based Approach for Positive and Unlabeled Learning”, Proc. The 26th Annual Conference of The Japanese Society for Artificial Intelligence (JSAI2012) on CD-ROM, Yamaguchi, Japan, June 2012.
  • Takashi Shirai, Yujiro Konaka, Junji Yano, Shigeki Nishimura, Koji Kagawa, Tetsuya Morita, Masayuki Numao, and Satoshi Kurihara. “Multi-agent traffic light control framework based on direct and indirect coordination”, Proc. 7th International Workshop on Agents in Traffic and Transportation in conjunction with AAMAS2012, pp. 1-9, Valencia, Spain, June 6 2012.
  • Paul Salvador Inventado, Roberto Legaspi, Rafael Cabredo, and Masayuki Numao. “Modeling Affect and Intentions in Unsupervised Learning Environments”, Proc. The 3rd International Workshop on Empathic Computing (IWEC-2012) (held in conjunction with PRICAI 2012), Sarawak, Malaysia, Sep. 3-4 2012.
  • Anh Mai, Roberto Legaspi, Paul Inventado, Rafael Cabredo, Satoshi Kurihara, and Masayuki Numao. “Using Sitting Postures to Infer User’s Learning and Non-learning States”, Proc. The 3rd International Workshop on Empathic Computing (IWEC-2012) (held in conjunction with PRICAI 2012), Sarawak, Malaysia, Sep. 3-4 2012.
  • Yu Yamano, Rafael Cabredo, Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao. “Estimating Emotions on Music Based on Brainwave Analyses”, Proc. The 3rd International Workshop on Empathic Computing (IWEC-2012) (held in conjunction with PRICAI 2012), Sarawak, Malaysia, Sep. 3-4 2012.
  • Rafael Cabredo, Roberto Legaspi, Paul Salvador Inventado, and Masayuki Numao. “EEG-Based Music Emotion Recognition using Regression Analysis”, Proc. The 3rd International Workshop on Empathic Computing (IWEC-2012) (held in conjunction with PRICAI 2012), Sarawak, Malaysia, Sep. 3-4 2012.
  • Noriko Otani, Satoshi Kurihara, and Masayuki Numao. “Generation of Chord Progression Using Harmony Search Algorithm for a Constructive Adaptive User Interface”, Proc. 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2012) (LNAI 7458), pp. 400-410, Sarawak, Malaysia, Sep. 3-7 2012.
  • Jocelynn Cu, Rafael Cabredo, Roberto Legaspi, and Merlin Suarez. “On Modelling Emotional Responses to Rhythm Features”, Proc. 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2012), Sarawak, Malaysia, Sep. 3-7 2012.
  • Aquino, R.J., Battad, J.R., Ngo, C.F., Uy, G., Trogo, R., Legaspi, R., and Suarez, M.. “Towards providing music for academic and leisurely activities of computer users”, Proc. 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2012), pp. 891-894, Sarawak, Malaysia, Sep. 3-7 2012.
  • Gemilene Uy, Charlene Frances Ngo, Rhia Trogo, Roberto Legaspi, and Merlin Suarez. “Correlation of Stress Inducers and Physiological Signals with Continuous Stress Annotations”, Proc. Workshop on Computation: Theory and Practice (WCTP 2012) (PICT 7), pp. 206-211, De La Salle University, Philippines, Sep. 27-28 2012.
  • Vanus Vachiratamporn, Roberto Legaspi, and Masayuki Numao. “Towards the Design and Development of Anticipation-based Event Selection Modeling for Survival Horror Games”, Proc. Workshop on Computation: Theory and Practice (WCTP 2012) (PICT 7), pp. 212-223, De La Salle University, Philippines, Sep. 27-28 2012.
  • Paul Salvador Inventado, Roberto Legaspi, Rafael Cabredo, and Masayuki Numao. “Sidekick Retrospect: A Self-Regulation Tool for Unsupervised Learning Environments”, Proc. Workshop on Computation: Theory and Practice (WCTP 2012) (PICT 7), pp. 224-235, De La Salle University, Philippines, Sep. 27-28 2012.
  • Yu Yamano, Rafael Cabredo, Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao. “Investigating the Relation between Brainwaves and Emotions in Music”, Proc. Workshop on Computation: Theory and Practice (WCTP 2012) (PICT 7), pp. 236-245, De La Salle University, Philippines, Sep. 27-28 2012.
  • Danaipat Sodkomkham, Roberto Legaspi, Satoshi Kurihara, and Masayuki Numao. “A Study on Activity Predictive Modeling for Prompt and Delayed Services in Smart Space”, Proc. Workshop on Computation: Theory and Practice (WCTP 2012) (PICT 7), pp. 316-328, De La Salle University, Philippines, Sep. 27-28 2012.
  • D. Inaba, K. Fukui, K. Sato, J. Mizusaki, N. Kuwata, J. Kawamura, and M. Numao. “Damage Evaluation of Solid Cells by Intelligent Information Processing on Acoustic Emission Events”, Proc. Pacific Rim Meeting on Electrochemical and Solid-State Science (PRiME 2012), Hawaii, Oct. 7-11 2012.
  • Rafael Cabredo, Roberto Legaspi, Paul Salvador Inventado, and Masayuki Numao. “An Emotion Model for Music Using Brain Waves”, Proc. 13th International Society for Music Information Retrieval Conference (ISMIR-2012), pp. 265-270, Porto, Oct. 8-12 2012.
  • Ken-ichi Fukui. “Data Mining for Damage Evaluation Support of an Energy Device”, Proc. The 9th Japanese-German Frontiers of Science Symposium (JGFoS), Postdam, Germany, Oct. 26-28 2012. (poster)
  • Paul Salvador Inventado, Roberto Legaspi, and Masayuki Numao. “Student learning behavior in unsupervised learning environment”, In Proc. 20th International Conference on Computers in Education (ICCE 2012), pp. 730-737, Nanyang, Singapore, Nov. 26-30 2012. (Best Technical Design Paper Award)
  • Roberto Legaspi, Paul Salvador Inventado, Rafael Cabredo, and Masayuki Numao. “Aiding digital natives learn positive learning behaviors through reflection”, In Proc. 20th International Conference on Computers in Education (ICCE 2012), pp. 806-810, Nanyang, Singapore, Nov. 26-30 2012.

2011

[Books]

  • Satoshi Kurihara, Hiroshi Tamaki, Ken-ichi Fukui, and Masayuki Numao. “Adaptive Sensor-Network Topology Estimating Algorithm based on the Ant Colony Optimization”, Ant Colony Optimization: Methods and Applications (Ed. Avi Ostfeld), InTech. pp. 101-112, Feb. 2011.
  • Teppei Kitagawa, Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, and Masayuki Numao. “Extraction of Essential Events with Application to Damage Evaluation on Fuel Cells”, Smart Innovation, Systems and Technologies (Post Proc. of the 2nd International Workshop on Combining Intelligent Methods and Applications (CIMA-10)), Springer. vol. 8, pp. 89-108, Apr. 2011.

[Invited Talk]

  • Satoshi Kurihara, “Human Information Mining as Netizen”, IEEE International Workshop on Data Mining for Service (DMS2011) held in conjunction with IEEE International Conference on Data Mining (ICDM2011), Vancouver, Canada, Dec. 11 2011.

[Journals]

  • Ken-ichi Fukui, Shogo Akasaki, Kazuhisa Satou, Junichiro Mizusaki, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Visualization of Damage Progress in Solid Oxide Fuel Cells”, Journal of Environment and Engineering, 6 (3). pp. 499-511, Apr. 2011.
  • Paul Salvador Inventado, Roberto Legaspi, Merlin Suarez, and Masayuki Numao. “Predicting Student Emotions Resulting from Appraisal of ITS Feedback”, Research and Practice in Technology Enhanced Learning, 6 (2). pp. 107-133, Jul. 2011.

[Conferences and Workshops]

  • Rafael Cabredo, Roberto Legaspi, and Masayuki Numao. “Comparing Effectiveness of Different Physiological Sensors for Music Segmentation”, Proc. The 14th SANKEN International Symposium & The 9th SANKEN Nanotechnology Symposium, p. 77, Otsu, Japan, Jan. 25-26 2011. (poster)
  • Mitsuhiro Matsumoto, Shinichi Okanao, Tetsuo Morita, Masayuki Numao, and Satoshi Kurihara. “Desktop Searches based on Context Visualization using File Operation Logs”, Proc. The Eleventh IASTED International Conference on Artificial Intelligence and Applications (AIA2011), pp. 156-162, Innsbruck, Austria, Feb. 14-16 2011.
  • Kazuya Maruo, Danaipat Sodkomkham, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Mining Frequent Sequences with Flexible Time Intervals”, The 5th International Workshop on Data-Mining and Statistical Science (DMSS2011), Osaka, Mar. 29-30 2011.
  • Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Evolving Subjective Utilities: Prisoner’s Dilemma Game Examples”, Proc. 10th International Conference on Autonomous Agents and Multiagent Systems(AAMAS2011), pp. 233-240, Taipei, Taiwan, May 2-6 2011.
  • Kazuya Maruo, Danaipat Sodkomkham, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Mining Frequent Sequences with Flexible Time Intervals”, The 1st International Workshop of Sensor Data Mining (IWSDM2011) held in conjunction with The 8th International Conference on Networked Sensing Systems (INSS2011), pp. 14-19, Penghu, Taiwan, Jun. 12 2011.
  • Ken-ichi Fukui and Masayuki Numao. “Topographic Measure Based on External Criteria for Self-Organizing Map”, Proc. 8th Workshop on Self-Organizing Maps (WSOM2011) (Lecture Notes in Computer Science 6731), pp. 131-140, Espoo, Finland, Jun. 13-15 2011.
  • Paul Salvador Inventado, Roberto Legaspi, Merlin Suarez, and Masayuki Numao. “Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online”, Proc. the 4th International Conference on Educational Data Mining, pp. 367-368, pp. 367-368, Eindhoven, Netherlands, June 6-8 2011. (poster)
  • Roberto Legaspi, Danaipat Sodkomkham, Kazuya Maruo, Kenichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Clustering Multiple and Flexible Time Intervals in Sequential Patterns Towards Predictive Modeling of Human Gait Behavior”, Proc. International Workshop on Finding Patterns of Human Behaviors in Network and Mobility Data (NEMO) (held in conjunction with ECML-PKDD2011), pp. 40-51, Athens, Greece, Sep. 9 2011.
  • Roberto Legaspi, Danaipat Sodkomkham, Kazuya Maruo, Kenichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Time-Interval Clustering in Sequential Pattern Recognition Towards Predictive Modeling of Human Characteristics”, Theory and Practice of Computation (PICT 5) (Workshop on Computation: Theory and Practice (WCTP-2011)), pp. 174-186, Quezon City, Philippines, Sep. 12-13 2011.
  • Rafael Cabredo, Roberto Legaspi, and Masayuki Numao. “Finding Motifs in Psychophysiological Responses and Chord Sequences”, Theory and Practice of Computation (PICT 5) (Workshop on Computation: Theory and Practice (WCTP-2011) ), pp. 78-89, Quezon City, Philippines, Sep. 12-13 2011.
  • Paul Salvador Inventado, Roberto Legaspi, Merlin Suarez, and Masayuki Numao. “Categorizing and Comparing Behaviors of Students Engaged in Self-initiated Learning Online”, Theory and Practice of Computation (PICT 5) (Workshop on Computation: Theory and Practice (WCTP-2011) ), pp. 133-144, Quezon City, Philippines, Sep. 12-13 2011.
  • Hal Gino Avisado, John Vincent Cocjin, Joshua Alexei Gaverza, Rafael Cabredo, Jocelynn Cu, and Merlin Suarez. “Analysis of Music Timbre Features for the Construction of a User-Specific Affect Model”, Theory and Practice of Computation (PICT 5) (Workshop on Computation: Theory and Practice (WCTP-2011) ), pp. 28-35, Quezon City, Philippines, Sep. 12-13 2011.
  • Mitsuhiro Matsumoto, Shinichi Okano, Tetsuo Morita, Masayuki Numao, and Satoshi Kurihara. “Method for Representing User’s Context on a PC”, Workshop on Computation: Theory and Practice (WCTP-2011), Quezon City, Philippines, Sep. 12-13 2011.
  • Juan Lorenzo Hagad, Roberto Legaspi, Merlin Suarez, and Masayuki Numao. “Predicting Levels of Rapport in Dyadic Interactions Through Automatic Detection of Posture and Posture Congruence”, Proc. The Third IEEE International Conference on Social Computing, pp. 613-616, Oct. 9-11 2011.
  • Paul Salvador Inventado, Roberto Legaspi, Merlin Suarez, and Masayuki Numao. “Observatory: A Tool for Recording, Annotating and Reviewing Emotion-Related Data”, Proc. 2nd International Workshop on Empathic Computing (IWEC-11), pp. 261-265, Hanoi, Vietnum, Oct. 17 2011.
  • Roberto Legaspi, Akinobu Ueda, Takayuki Nishikawa, Kenichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Exploring melodic motif to support affect perception-based music compositional intelligence”, Proc. 2nd International Workshop on Empathic Computing (IWEC-11), pp. 219-225, Hanoi, Vietnum, Oct. 17 2011.
  • Rafael Cabredo, Roberto Legaspi, and Masayuki Numao. “Identifying Emotion Segments in Music by Discovering Motifs in Physiological Data”, Proc. 12th International Society for Music Information Retrieval Conference (ISMIR), pp. 753-758, Miami, USA, Oct. 24-28 2011.
  • Paul Salvador Inventado, Roberto Legaspi, Merlin Suarez, and Masayuki Numao. “Investigating Transitions in Affect and Activities for Online Learning Interventions”, Proc. the 19th International Conference on Computers in Education (ICCE2011), pp. 571-578, Chiang Mai, Thailand, Nov. 28 – Dec. 2 2011. (Best Paper Award nominee)
  • Kiyoshi Kiyokawa, Masahide Hatanaka, Kazufumi Hosoda, Hironori Shigeta, Yasunori Ishihara, Fukuhito Ooshita, Hirotsugu Kakugawa, Satoshi Kurihara, and Koichi Moriyama. “Owens Luis – A Proposal of a Smart Office Chair in an Ambient Environment”, Proc. 21st International Conference on Artificial Reality and Telexistence, Osaka, Nov. 28 – 30 2011.

2010

[Books]

  • Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Tracking and Visualizing the Cluster Dynamics by Sequence-based SOM”, Self-Organizing Maps (Ed. George K. Matsopoulos), InTech. pp. 97-112, Apr. 2010.

[Invited Talk]

  • Satoshi Kurihara, “New Relation between Human and The Real Environment based on Human Behavior Mining”, The First International Workshop on Human Behavior Sensing (HBS2010) (held in conjunction with INSS 2010), Kassel, Germany, Jun. 15 2010.
  • Koichi Moriyama, “Does Profit Mean Happiness? – A way to create an emotional agent”, 2nd Osaka University – De La Salle University Workshop on Empathic Computing, De La Salle University, Manila, Philippines, Sep. 28 2010.
  • Roberto Legaspi, “Empathic Computing: A 3+1-dimensional view of human behavior computing”, Visiting Professor Lecture, De La Salle University, Manila, Philippines, Mar. 2010.

[Journals]

  • Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shin-Ya Sato, Osamu Akashi, and Satoshi Kurihara. “Fluctuated peer selection policy and its performance in large-scale multi-agent systems”, Web Intelligence and Agent Systems, 8 (3). IOS Press, pp. 255-268, Aug. 2010.

[Conferences and Workshops]

  • Ken-ichi Fukui, Shogo Akasaki, Kazuhisa Sato, Junichiro Mizusaki, and Masayuki Numao. “Visual Data Mining for Supporting Damage Evaluation of Fuel Cells”, Proc. the 13th SANKEN International Symposium, pp. 67-68, Osaka, Jan. 18-19 2010. (poster)
  • Simon E. Ortiz B., Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao. “Adaptive AI in a Fighting Videogame”, Proc. the 13th SANKEN International Symposium, p. 81, Osaka, Jan. 18-19 2010. (poster)
  • Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao, and Merlin Suarez. “Applying a Cost-effective and Efficient Data-centric Approach to the Physiology-Affect Relations Modeling Domain”, Proc. the 13th SANKEN International Symposium, pp. 100-101, Osaka, Jan. 18-19 2010. (poster)
  • Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao, and Merlin Suarez. “Addressing the Problems of Data-Centric Physiology-Affect Relations Modeling”, Proc. 2010 International Conference on Intelligent User Interfaces (IUI), pp. 21-31, Hong-Kong, Feb. 7-10 2010.
  • Paul Salvador Inventado, Merlin Suarez, and Roberto Legaspi. “Tracking and Modelling the Behavior of Students in Learning Online”, Proceedings of the 10th Philippine Computing Science Congress, pp. 235-240, Manila, Philippine, Mar. 5-6 2010.
  • J. Cu, R. Cabredo, G. Cu, P.S. Inventado, R. Trogo, M.T. Suarez, and R. Legaspi. “The TALA Empathic Space: Integrating Affect and Activity Recognition into a Smart Space”, Proc. 3rd International Conference on Human-Centric Computing, pp. 1-6, Cebu, Philippines, Aug. 11-13 2010.
  • Simon Ortiz, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao. “Three-Subagent Adapting Architecture for Fighting Videogames”, Proc. 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2010) (Lecture Notes in Artificial Intelligence 6230), pp. 649-654, Daegu, Korea, Aug. 30 – Sep. 2 2010.
  • Paul Salvador Inventado, Merlin Suarez, and Roberto Legaspi. “Identifying Student Appraisal of Feedback provided by an ITS Using System Logs and Brainwave Data”, Proc. 15th Joint Academic Rsearch Symposium of De La Salle University and Osaka University, Manila, Philippines, Sep. 29-30 2010.
  • H.G.P. Avisado, J.A.M. Gaverza, J.V.U. Cocjin, R.A. Cabredo, and J.W. Cu. “Analysis of Timbre Features for Construction of a User-Specific Affect Model for Classifying Music”, Proc. 15th Joint Academic Rsearch Symposium of De La Salle University and Osaka University, Manila, Philippines, Sep. 29-30 2010.
  • J.L. Hagad, R. Legaspi, R. Cabredo, M. Suarez, and M. Numao. “Automatic Detection of Posture Congruence in Dyadic Interactions to Predict Rapport”, Proc. 15th Joint Academic Rsearch Symposium of De La Salle University and Osaka University, Manila, Philippines, Sep. 29-30 2010.
  • Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, and Masayuki Numao. “Kullback-Leibler Divergence Based Kernel SOM for Visualization of Damage Process on Fuel Cells”, Proc. 22th IEEE International Conference on Tools with Artificial Intelligence (ICTAI-10), pp. 233-240, Arras, France, Oct. 27-29 2010.
  • Teppei Kitagawa, Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, and Masayuki Numao. “Combining SOM and KeyGraph for Extraction of Essential Events: Application to Damage Evaluation of Fuel Cells”, Proc. the 2nd International Workshop on Combining Intelligent Methods and Applications (CIMA-10) to be held in conjunction with 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI-10), pp. 24-33, Arras, France, Oct. 28 2010.
  • P.S. Inventado, M. Suarez, R. Legaspi, and T.D. Bui. “Predicting Student’s Appraisal of Feedback in an ITS Using Previous Affective States and Continuous Affect Labels from EEG Data”, Proc. 18th International Conference on Computers in Education (ICCE 2010), Putrajaya, Malaysia, Nov. 29 – Dec. 3 2010.
  • Toshio Hirotsu, Shinnosuke Nishitani, Hirotake Abe, Kyoji Umemura, Kensuke Fukuda, Satoshi Kurihara, and Toshiharu Sugawara. “A Light-weight Autonomous Power Saving Method for Wireless Sensor Networks”, Proc. 6th International Conference on Autonomic and Autonomous Systems, pp. 188-193, Cancun, Mexico, Mar. 7-13 2010.
  • Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, and Satoshi Kurihara. “Effect of Probabilistic Task Allocation Based on Statistical Analysis of Bid Values”, Proc. The 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS2010), Tronto, Canada, May 10-14 2010.
  • Yuta Watanabe, Satoshi Kurihara, and Toshiharu Sugawara. “Sensor Network Topology Estimation using Time-Series Data from infrared Human Presence Sensors”, Proc. IEEE Sensors 2010 Conference, Hawaii, USA, Nov. 1-4 2010.

2009

[Books]

  • Satoshi Kurihara, Kensuke Fukuda, Shinya Sato, and Toshiharu Sugawara. Editted by Salman Ahmed and Mohd Noh Karsiti. “Indirect Coordination Mechanism of MAS”, Multiagent Systems, InTech. ISBN:978-3-902613-51-6. pp. 221-232, Jan. 2009.
  • Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. Editted by Zdzislaw S. Hippe and Juliusz L. Kulikowski. “Positing a Growth-Centric Approach in Empathic Ambient Human-System Interaction”, Human-Computer Systems Interaction, Backgrounds and Applications, Advances in Soft Computing, Springer. ISBN:978-3-642-03201-1. pp. 233-244, Oct. 2009.

[Invited Talk]

  • Masayuki Numao, “Constructive Adaptive User Interfaces and Empathic Computing”, 9th Philippine Computing Science Congress (PCSC 2009), Silliman University, Dumaguete City, Philippines, 2-3 Mar. 2009.
  • Masayuki Numao, “Relational Mining for Brains -Dopamine Antagonist Molecules and a Brain Computer Interface”, Osaka University – De La Salle University Science and Technology Congress, De La Salle University, Philippines, Sep. 2009.
  • Satoshi Kurihara, “Human Behavior Mining”, Osaka University – De La Salle University Science and Technology Congress, De La Salle University, Philippines, Sep. 2009.

[Journals]

  • Ryozo Kiyohara, Satoshi Mii, Mitsuhiro Matsumoto, Numao Masayuki, and Satoshi Kurihara. “A New Method of Fast Compression of Program Code for OTA Updates in Consumer Devices”, IEEE Transactions on Consumer Electronics, 55 (2). pp. 812-817, May 2009.
  • Koichi Moriyama. “Utility based Q-learning to facilitate cooperation in Prisoner’s Dilemma games”, Web Intelligence and Agent Systems, 7 (3). IOS Press, pp. 233-242, Aug. 2009.

[Conferences and Workshops]

  • Kazuhiro Satoh, Ryutaro Ichise, Satoshi Kurihara, and Masayuki Numao. “Analysis on Grant Application Data”, Proc. The 12th SANKEN International Symposium, p. 99, Osaka, Japan, Jan. 2009. (poster)
  • Nagayoshi Yamashita, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Web Page Classification Based on Stractural Equivalence”, Proc. The 12th SANKEN International Symposium, p. 100, Osaka, Japan, Jan. 2009. (poster)
  • Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Growth Analysis of Neighbor Network for Evaluation of Damage Progress”, Proc. The 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09) (Lecture Notes in Artificial Intelligence 5476), pp. 933-940, Bangkok, Thailand, April 2009.
  • Koichi Moriyama. “Learning-Rate Adjusting Q-learning for Two-Person Two-Action Symmetric Games”, Proc. 3rd KES Symposium on Agent and Multi-Agent Systems – Technologies and Applications, KES-AMSTA 2009 (Lecture Notes in Artificial Intelligence 5559), pp. 223-232, Uppsala, Sweden, 3-5 June 2009.
  • Masayuki Numao, Takayuki Nishikawa, Toshihito Sugimoto, Satoshi Kurihara, and Roberto Legaspi. “Constructive Adaptive User Interfaces Based on Brain Waves”, Proc. 13th International Conference on Human-Computer Interaction (HCI2009) (Lecture Notes in Computer Science 5611), pp. 596-605, San Diego, CA, USA, July 2009.
  • Satoshi Kurihara, Hiroshi Tamaki, Masayuki Numao, Kouji Kagawa, Jyunji Yano, and Tetsuo Morita. “Traffic Congestion Forecasting based on Pheromone Communication Model for Intelligent Transport Systems”, Proc. IEEE Congress on Evolutionary Computation (CEC’09), pp. 2879-2884, Trondheim, Norway, 18-21 May 2009.
  • Satoshi Kurihara, Hiroshi Tamaki, Masayuki Numao, Kouji Kagawa, Jyunji Yano, and Tetsuo Morita. “Traffic Congestion Forecasting based on Ant Model for Intelligent Transport Systems”, The Third International Workshop on Emergent Intelligence in Networked Agents (WEIN09) (workshop at AAMAS2009), Budapest, Hungary, 10-15 May 2009.
  • Shin-ya Sato, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, and Toshiharu Sugawara. “Estimating relevance of items on basis of proximity of user groups on blogspace”, Proc. the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI’09), pp. 157-164, Milano, Italy, 15-18 Sep. 2009.
  • Kensuke Takahashi, Satoshi Kurihara, Toshio Hirotsu, Shin-ya Sato, and Toshiharu Sugawara. “Estimation of Sensor Network Topology using Ant Colony Optimization”, Proc. the 9th International Conference on Adaptive and Natural Computing Algorithms (Lecture Notes in Computer Science 5495), pp. 263-272, Kuopio, Finland, 23-25 April 2009.
  • Paul Salvador Inventado, Merlin Suarez, and Roberto Legaspi. “Modelling Digital Natives in Social Learning Environments”, Proc. The 17th International Conference on Computers in Education (ICCE2009), pp. 199-201, Hong Kong, Nov. 30 – Dec. 4 2009.
  • Kazuhisa Sato, Ken-ichi Fukui, Masayuki Numao, Toshiyuki Hashida, and Junichiro Mizusaki. “Evaluation Method for Mechanical Performance of Solid Oxide Fuel Cell under Simulated Operating Conditions”, Proc. ASME 7th International Conference on Fuel Cell Science, Engineering and Technology, California, USA, Jun. 8-10 2009.

[Others]

  • Masayuki Numao. “Fun of Applying Transformative Research to Research Systems”, KAKENHI ESSAY SERIES, Japan Society for the Promotion of Science. May 2009.

2008

[Journals]

  • Roberto Legaspi, Raymund Sison, Ken-ichi Fukui, and Masayuki Numao. “Cluster-based predictive modeling to improve pedagogic reasoning”, Computers in Human Behavior, vol. 24, pp. 153-172, Mar 2008.
  • Toshihito Sugimoto, Roberto Legaspi, Akihiro Ota, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Modelling affective-based music compositional intelligence with the aid of ANS analyses”, Knowledge-Based Systems, 21 (3). pp. 200-208, April 2008.
  • Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao. “Reinforcement Learning on a Futures Market Simulator”, Journal of Universal Computer Science, 14 (7). pp. 1136-1153, June 2008.

[Conferences and Workshops]

  • Ryozo Kiyohara, Mitsuhiro Matsumoto, Satoshi Mii, Naoki Shimizu, Masayuki Numao, and Satoshi Kurihara. “Context-Aware Middleware for Mobile Phone Based on Operational Logs”, IEEE International Conference on Consumer Electronics (ICCE 08), Las Vegas, Nevada, U.S.A, Jan 2008.
  • Ken-ichi Fukui, Kazuhisa Saito, Junichiro Mizusaki, Kazumi Saito, and Masayuki Numao. “Evaluation of Fracture Dynamics in SOFC by Burst Extraction Method and Sequence-based SOM”, Proc. the 11th SANKEN and 6th Nanotechnology Center and 1st MSTEC Internatinal Symposium, pp. 84-85, Awaji, Japan, Feb 2008. (poster)
  • Toshihito Sugimoto, Roberto Legaspi, Takayuki Nishikawa, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Brainwave Production Creates Music Automatically”, Proc. the 11th SANKEN and 6th Nanotechnology Center and 1st MSTEC Internatinal Symposium, p. 86, Awaji, Japan, Feb 2008. (poster)
  • Hiroshi Tamaki, Ken-ichi Fukui, Masayuki Numao, and Satoshi Kurihara. “Obtaining the Topological Map of Sensor Network with Pheromone System”, Proc. the 11th SANKEN and 6th Nanotechnology Center and 1st MSTEC Internatinal Symposium, pp. 87-88, Awaji, Japan, Feb 2008. (poster)
  • Roberto Legaspi, Satoshi Kurihara, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “An Empathy Learning Problem for HSI: To Be Empathic, Self-improving and Ambient”, Proc. Conference on Human System Interaction (HSI), pp. 209-214, Krakow, Poland, May 2008.
  • Roberto Legaspi, Satoshi Kurihara, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “Self-improving Empathy Learning”, Proc. 5th International Conference on Information Technology and Applications (ICITA), Cairns, Australia, June 2008.
  • Nagayoshi Yamashita, Koichi Moriyama, Masayuki Numao, and Satoshi Kurihara. “Web Page Classification Based on Structural Equivalence”, Proc. 5th International Conference on Information Technology and Applications (ICITA), Cairns, Australia, June 2008.
  • Mitsuhiro Matsumoto, Ryozo Kiyohara, Hidenori Fukui, Masayuki Numao, and Satoshi Kurihara. “Proposition of The Context-Aware Interface for Cellular Phone Operations”, Proc. Fifth International Conference on Networked Sensing Systems(INSS 2008), p. 233, Kanazawa, Japan, June 2008. (poster)
  • Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Sequence-based SOM: Visualizing Transition of Dynamic Clusters”, Proc. IEEE 8th International Conference on Computer and Information Technology (CIT), on CD-ROM, Sydney, Australia, July 2008. (Best Paper)
  • Ryutaro Ichise, Kazuhiro Satoh, and Masayuki Numao. “Elucidating Relationships among Research Subjects from Grant Application Data”, Proc. the 12th International Conference on Information Visualization, pp. 427-432, London, U.K., July 2008.
  • Koichi Moriyama. “Learning-Rate Adjusting Q-learning for Prisoner’s Dilemma Games”, Proc. 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’08), pp. 322-325, Sydney, Australia, Dec. 2008.
  • Hiroshi Tamaki, Ken-ichi Fukui, Masayuki Numao, and Satoshi Kurihara. “Pheromone Approach to the Adaptive Discovery of Sensor-Network Topology”, Proc. 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’08), pp. 41-47, Sydney, Australia, Dec. 2008.
  • Shin-ya Sato, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, and Toshiharu Sugawara. “Co-occurrence Analysis Focused on Blogger Communities”, Proc. the 2008 IEEE/WIC/ACM International Conference on Web Intelligence, Sydney, Australia, Dec. 2008.
  • Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara, and Kensuke Fukuda. “Controling Contract Net Protocol by Local Observation for Large-Scale Multi-Agent Systems”, Proc. 12th International Workshop on Cooperative Information Agents (CIA2008), (Lecture Notes in Artificial Intelligence 5180), pp. 206-220, Prague, Czech Republic, Sep. 2008.
  • Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara, and Kensuke Fukuda. “Adaptive Manager-side Control Policy in Contract Net Protocol for Massively Multi-Agent Systems”, Proc. 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS2008), Estoril, Portugal, May 2008.
  • Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara, and Kensuke Fukuda. “Effects of Fluctuation in Manager-side Controls on Contract Net Protocol in Massively Multi-agent Systems”, Proc. IEEE SMC International Conference on Distributed Human-Machine Systems (DHMS2008), Athens, Greece, Mar. 2008.
  • Satoshi Kurihara. “Controling Contract Net Protocol by Local Observation for Large-Scale Multi-Agent Systems”, The First International Workshop on Content Creation Activity Support by Networked Sensing(CCASNS08), Kanazawa, Japan, June 2008.

2007

[Books]

  • Akia Namatame, Satoshi Kurihara and Hideyuki Nakashima (Eds.). Emergent Intelligence of Networked Agents, Studies in Computational Intelligence Series. Springer. vol. 56, July 2007.
  • Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shin-ya Sato, and Satoshi Kurihara. “Improvements in Performance of Large-Scale Multi-Agent Systems Based on the Adaptive/Non-Adaptive Agent Selection”, Emergent Intelligence of Networked Agents (Editted by A. Namatame, S. Kurihara and H. Nakashima), Studies in Computational Intelligence Series. Springer. vol. 56, pp. 217-230, July 2007.
  • Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Shin-ya Sato, Osamu Akashi, and Toshiharu Sugawara. “The Impact of Network Model on Performance of Load-balancing”, Emergent Intelligence of Networked Agents (Editted by A. Namatame, S. Kurihara and H. Nakashima), Studies in Computational Intelligence Series. Springer. vol. 56, pp. 23-37, July 2007.
  • Nuanwan Soonthornphisaj, Supakpong Jinarat, Taweesak Tanwandee, and Masayuki Numao. “Knowledge Discovery for Hepatitis C Virus Diagnosis: A Framework for Mining Interesting Classification Rules”, Advanced Intelligent Computing Theories and Applications, Communications in Computer and Information Science. Springer. vol. 2, pp. 171-179, August 2007.

[Journals]

  • Masayuki Numao and Tu-Bao Ho. “Active Mining – Preface”, New Generation Computing, 25 (3). pp. 201-202, 2007.
  • Ryozo Kiyohara, Mariko Kurihara, Satoshi Mii, and Shigenori Kino. “A delta representation scheme for updating between versions of mobile phone software”, Electronics and Communications in Japan, 90 (7). pp. 26-37, Jul 2007.
  • Satoshi Kurihara and Takashi Ishikawa. “Emergent Intelligence on Network: A survey”, International Transactions on Systems Science and Applications, 3 (1). pp. 3-10, May 2007.

[Conferences and Workshops]

  • Roberto Legaspi, Yuya Hashimoto, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Using Multiple-Part Learning and a Genetic Algorithm to Compose Emotion-Inducing Tunes”, International Workshop on Artificial Intelligence and Music (Music-AI 2007, held in conjunction with the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), pp. 59-70, Jan 2007.
  • Roberto Legaspi, Yuya Hashimoto, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Music Compositional Intelligence with an Affective Flavor”, ACM International Conference on Intelligent User Interfaces, pp. 216-224, Jan 2007.
  • Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao. “Reinforcement Learning on a Futures Market Simulator”, Proc. 1st KES Symposium on Agent and Multi-Agent Systems – Technologies and Applications (KES-AMSTA 2007), pp. 42-52, Wroclaw, Poland, May/Jun 2007.
  • Seiichi Honda, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Extracting Human Behaviors with Infrared Sensor Network”, Proc. 4th International Conference on Networked Sensing Systems (INSS 2007), pp. 122-125, Braunschweig, Germany, Jun 2007.
  • Hiroshi Tamaki, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Automatic Acquisition of Sensor-Network Topology Based on Pheromone Communication Model”, Proc. 4th International Conference on Networked Sensing Systems (INSS 2007), p. 292, Braunschweig, Germany, Jun 2007. (poster)
  • Kazuhisa Sato, Norihiro Imanaka, Ken-ichi Fukui, Masayuki Numao, Shintaro Kyotani, Keiji Yashiro, Tatsuya Kawada, Toshiyuki Hashida, and Junichiro Mizusaki. “Reliability Evaluation of SOFC under Simulated Operating Condition”, Proc. 10th International Symposium on Solid Oxide Fuel Cells (SOFC-X) (Electrochemical Society Transactions 7), pp. 455-458, Nara, Japan, Jun 2007.
  • Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Interpretable Likelihood for Vector Representable Topic”, Proc. 11th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES) (Lecture Notes in Artificial Intelligence 4252), pp. 929-936, Vietri sul Mare, Italy, Sep 2007.
  • Hiroshi Tamaki, Ken-ichi Fukui, Masayuki Numao, and Satoshi Kurihara. “Acquisition of Sensor-Network Topology Based on Multi-Agent Pheromonal Coordination”, Proc. Workshop on Heterogeneous Agent Systems and Complex Networks (held in conjunction with ECCS2007), Dresden, Germany, Oct 2007.
  • Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Combining Burst Extraction Method and Sequence-based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell”, Proc. 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 193-196, Patras, Greece, Oct 2007.
  • Koichi Moriyama. “Utility Based Q-learning to Maintain Cooperation in Prisoner’s Dilemma Games”, Proc. 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’07), pp. 146-152, Fremont, California, U.S.A, Nov 2007.
  • Toshihito Sugimoto, Roberto Legaspi, Akihiro Ota, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Modelling Affective-based Music Compositional Intelligence with the Aid of ANS Analyses”, Proc. 27th SGAI International Conference on Artificial Intelligence (AI 2007), Cambridge, U.K, Dec 2007. (Best 6 Papers)
  • Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, and Toshihiro Takada. “An Effective Selection of Abstract Plans for Multi-Agent Systems”, Proc. 27th SGAI International Conference on Artificial Intelligence (AI 2007), Cambridge, U.K, Dec 2007.
  • Shin-ya Sato, Kensuke Fukuda, Satoshi Kurihara, Toshio Hirotsu, and Toshiharu Sugawara. “Generating extensional definitions of concepts from ostensive definitions by using Web”, Proc. the 8th International Conference on Web Information Systems Engineering, Nancy, France, Dec 2007.
  • Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara, and Kensuke Fukuda. “Performance Variation Due to Interference Among a Large Number of Self-Interested Agents”, Proc. IEEE Congress on Evolutionary Computation (IEEE CEC 2007), pp. 766-773, Singapore, Sep. 2007.
  • Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, and Toshihiro Takada. “Case-Based Approach to Selecting Abstract Plans in Multi-Agent Systems”, Workshop Proc. the Seventh International Conference on Case-Based Reasoning (ICCBR’07) (held as part of ICCBR 2007), pp. 69-78, Belfast, Northern Ireland, UK, Aug. 2007.
  • Satoshi Kurihara, Kensuke Fukuda, Shinya Sato, and Toshiharu Sugawara. “Multi-agent Coordination Mechanism based on Indirect Interaction”, Proc. the 2007 International Symposium on Frontiers in Networking with Applications (FINA 2007; All papers are invited; Held in conjunction with The IEEE 21st International Conference on Advanced Information Networking and Applications (AINA 2007)), pp. 68-72, May 2007.
  • Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, and Toshihiro Takada. “Conflict Estimation of Abstract Plans for Multi-Agent Systems”, Proc. 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS2007), pp. 844-846, Honolulu, Hawaii, USA, May 2007.

2006

[Journals]

  • Roberto Legaspi, Raymund Sison, and Masayuki Numao. “A Category-Based Framework of a Self-Improving Instructional Planner”, Transactions of Japanese Society for Artificial Intelligence, 21 (1). pp. 94-102, Jan 2006.
  • Roberto Legaspi, Yuya Hashimoto, and Masayuki Numao. “An Emotion-Driven Musical Piece Generator for a Constructive Adaptive User Interface”, Lecture Notes in Artificial Intelligence, vol. 4099, pp. 890-894, Aug 2006.
  • Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Visualization Architecture Based on SOM for Two-Class Sequential Data”, Lecture Notes in Artificial Intelligence, vol. 4252, pp. 929-936, Oct 2006.
  • Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, and Toshiharu Sugawara. “How Does Collective Intelligence Emerge in the Standard Minority Game?”, Lecture Notes in Economics and Mathematical Systems, vol. 567, pp. 279-289, 2006.
  • Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shinya Sato, and Satoshi Kurihara. “Adaptive Agent Selection in Large-Scale Multi-Agent Systems”, Lecture Notes in Computer Science, vol. 4099, pp. 818-822, 2006.

[Conferences and Workshops]

  • Satoshi Kurihara, Kensuke Fukuda, Shinya Sato, and Toshiharu Sugawara. “How can agent know the global information without close coordination?”, Proc. 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS2006), pp. 682-684, Hakodate, Japan, May 2006.
  • Satoshi Kurihara, Seiichi Honda, Ken-ichi Fukui, Koichi Moriyama, Masayuki Numao, Kensuke Fukuda, Toshio Hirotsu, Toshihiro Takada, and Toshiharu Sugawara. “Getting Daily Human Habitual Behaviours from Infrared Sensor Network”, Proc. 3rd International Conference on Networked Sensing Systems (INSS2006), Chicago, Illinois, U.S.A., May/June 2006.
  • Norihiro Imanaka, Ken-ichi Fukui, Kazuhisa Sato, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Evaluation of Sequential AE Signals in SOFC Utilizing SOM”, Proceedings of the 5th 21st Century COE “Towards Creating New Industry Based on Inter-Nanosicence” International Symposium, pp. 159-160, Awaji, Japan, Dec 2006.
  • Nagayoshi Yamashita, Masayuki Numao, and Satoshi Kurihara. “Salient Word Extraction Using Link Analysis Based on Structual Equivalence”, Proceedings of the 5th 21st Century COE “Towards Creating New Industry Based on Inter-Nanosicence” International Symposium, p. 161, Awaji, Japan, Dec 2006.
  • Masayuki Numao, Sukree Sinthupinyo, Cholwich Nattee, and Takashi Okada. “Learning First-order Rules from Chemical Compound Data”, Proceedings of the 5th 21st Century COE “Towards Creating New Industry Based on Inter-Nanosicence” International Symposium, p. 162, Awaji, Japan, Dec 2006.
  • Roberto Legaspi, Yuya Hashimoto, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. “Infusing Affective Perceptions in Music Compositional AI”, Proceedings of the 5th 21st Century COE “Towards Creating New Industry Based on Inter-Nanosicence” International Symposium, pp. 163-164, Awaji, Japan, Dec 2006.
  • Osamu Akashi, Kensuke Fukuda, Satoshi Kurihara, Hirotsu Toshio, and Toshiharu Sugawara. “Application of Massively Multi-agent System to Internet Routing Management”, Proceedings of the Joint International Workshop on Massively Multi-agent Systems (MMAS2006) and Challenges in Large-Scale Coordination in Multi-Agent Systems (LSMAS2006), May 2006.
  • Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, Shinya Sato, and Osamu Akashi. “Total Performance by Local Agent Selection Strategies in Multi-Agent Systems”, Proceedings of 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS2006), pp. 601-608, May 2006.
  • Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Shinya Sato, Osamu Akashi, and Toshiharu Sugawara. “Dependency of Network Structures in Agent Selection and Deployment”, Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT2006), Dec 2006.
  • Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shinya Sato, and Satoshi Kurihara. “Multi-Agent Systems Performance by Adaptive/Non-Adaptive Agent Selection”, Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT2006), Dec 2006.

2005

[Journals]

  • Cholwich Nattee, Sukree Sinthupinyo, and Masayuki Numao. “Inductive Logic Programming for Multiple-Part Data: Applications on Structure-Activity Relationship Studies”, Transaction of Japanese Society for Artificial Intelligence, 20 (3). pp. 159-166, 2005.
  • Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, and Hiroshi Motoda. “Active Mining Project: Overview”, Lecture Notes in Artificial Intelligence, vol. 3430, pp. 1-10, 2005.
  • Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, and Takashi Okada. “Mining Chemical Compound Structure Data Using Inductive Logic Programming”, Lecture Notes in Artificial Intelligence, vol. 3430, pp. 92-111, 2005.
  • Ryutaro Ichise and Masayuki Numao. “First-Order Rule Mining by Using Graphs Created from Temporal Medical Data”, Lecture Notes in Artificial Intelligence, vol. 3430, pp. 112-125, 2005.
  • Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Visualizing Dynamics of Hot Topics Using Sequence-Based Self-Organizing Maps”, Lecture Notes in Artificial Intelligence, vol. 3684, pp. 745-751, 2005.
  • Roberto Legaspi, Raymund Sison, Kenichi Fukui, and Masayuki Numao. “Predicting High-level Student Responses Using Conceptual Clustering”, Frontiers in Artificial Intelligence and Applications, vol. 133, IOS Press, pp. 761-764, 2005.
  • Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Shigemi Aoyagi, Toshihiro Takada, and Toshiharu Sugawara. “Multi-Agent Human-Environment Interaction Framework for the Ubiquitous Environment”, Lecture Notes in Artificial Intelligence, vol. 3446, pp. 217-223, 2005.
  • Satoshi Kurihara, Kensuke Fukuda, Shinya Sato, and Toshiharu Sugawara. “Effective Decision Making by Self-Evaluation in the Multi-Agent Environment”, Lecture Notes in Artificial Intelligence, vol. 3828, pp. 631-640, 2005.

[Conferences and Workshops]

  • Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, and Takashi Okada. “Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data”, Proc. International Workshop on Computer Intelligence for Exabyte Scale Data Explosion (CIESDE’05) in conjunction with the 2005 International Symposium on Applications and the Internet, pp. 332-335, Trento, Italy, January 2005.
  • Masayuki Numao, Sukree Sinthupinyo, Cholwich Nattee, and Takashi Okada. “Machine Learning Methods for Classifying Dopamine Antagonist Molecules”, 21st Century COE “Towards Creating New Industries Based on Inter-Nanoscience”, p. 53, 2005.
  • Sukree Sinthupinyo, Cholwich Nattee, Masayuki Numao, and Takashi Okada. “Partial Rule Weighting Using Single-Layer Perceptron”, 21st Century COE “Towards Creating New Industries Based on Inter-Nanoscience”, p. 177, 2005.
  • Koichi Moriyama. “Learning Desirable Actions in Two-Player Two-Action Games”, Proc. 2005 International Symposium on Autonomous Decentralized Systems (ISADS-2005), pp. 495-500, Chengdu, China, April 2005.
  • Nagayoshi Yamashita, Satoshi Kurihara, and Masayuki Numao. “Link Analysis Oriented to Text Summarization”, Proc. 4th 21st Century COE “Towards Creating New Industries Based on Inter-Nanoscience” International Symposium, p. 131, Toba, Japan, November 2005.
  • Md. Nazmul Huda, Masayuki Numao, and Takashi Okada. “Multiple Instance Based Learning for Feature Extraction from Chemical Compound”, Proc. 4th 21st Century COE “Towards Creating New Industries Based on Inter-Nanoscience” International Symposium, pp. 132-133, Toba, Japan, November 2005.
  • Roberto Legaspi, Raymund Sison, Kenichi Fukui, and Masayuki Numao. “A Cluster-based Predictive Modeling to Improve Pedagogic Reasoning”, Proc. IADIS International Conference on Cognition and Exploratory Learning in Digital Age, pp. 199-207, Porto, Portugal, December 2005.
  • Satoshi Kurihara, Shigemi Aoyagi, Toshihiro Takada, Toshio Hirotsu, and Toshiharu Sugawara. “Agent-Based Human-Environment Interaction Framework for Ubiquitous Environment”, Proc. 2nd International Workshop on Networked Sensing Systems (INSS2005), pp. 103-108, San Diego, California, U.S.A., June 2005.
  • Atsushi Terauchi, Osamu Akashi, Mitsuru Maruyama, Kensuke Fukuda, Toshiharu Sugawara, Toshio Hirotsu, and Satoshi Kurihara. “ARTISTE: Agent Organization Management System for Multi-agent Systems”, Eighth Pacific Rim International Workshop on Multi-agents (PRIMA2005), 2005.
  • Kensuke Fukuda, Shinya Sato, Osamu Akashi, Toshio Hirotsu, Satoshi Kurihara, and Toshiharu Sugawara. “On the use of Hierarchical Power-law Network Topology for Server Selection and Allocation in Multi-Agent Systems”, IEEE/WIC/ACM Internatinal Conference on Intelligent Agent Technology (IAT2005), 2005.
  • Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, and Toshihiro Takada. “Predicting Possible Conflicts in Hierarchical planning for Multi-Agent Systems”, 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS2005), 2005.
  • Kensuke Fukuda, Shinya Sato, Osamu Akashi, Kazuhiro Kazama, Toshio Hirotsu, Satoshi Kurihara, and Toshiharu Sugawara. “Efficiency and Fairness of Load Distribution on Scale-Free Property”, AAAI-2005 Workshop on LinkAnalysis (LinkAnalysis-2005), 2005.

2004

[Journals]

  • Roberto Legaspi, Raymund Sison, and Masayuki Numao. “A Category-based Self-improving Planning Module”, Lecture Notes in Computer Science, vol. 3220, pp. 554-563, 2004.
  • Roberto Legaspi, Raymund Sison, and Masayuki Numao. “MSIP: Agents Embodying a Category-based Learning Process for the ITS Tutor to Self-improve Its Instructional Plans”, Lecture Notes in Artificial Intelligence, vol. 3157, pp. 114-123, 2004.
  • Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Shinya Sato, and Toshiharu Sugawara. “How collective intelligence emerge in complex environment?”, Lecture Notes in Artificial Intelligence, vol. 3141, pp. 484-495, 2004.

[Conferences and Workshops]

  • Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, and Takashi Okada. “Learning First-order Rules from Data with Multiple Parts: Applications on Mining Chemical Compound Data”, Proc. the 21st International Conference on Machine Learning (ICML 2004), pp. 606-614, Alberta, Canada, July 2004.
  • Sukree Sinthupinyo, Cholwich Nattee, Masayuki Numao, Takashi Okada, and Boonserm Kijsirikul. “Combining Partial Rules and Winnow Algorithm: Results on Classification of Dopamine Antagonist Molecules”, Proc. the 3rd International Workshop on Active Mining (AM 2004), pp. 83-92, Kanazawa, Japan, 2004.
  • Sukree Sinthupinyo, Cholwich Nattee, Masayuki Numao, Takashi Okada, and Boonserm Kijsirikul. “Using Neural Network to Weight the Partial Rules: Application to Classification of Dopamine Antagonist Molecules”, Proc. Pacific Rim Knowledge Acquisition Workshop (PKAW04), pp. 183-195, Auckland, New Zealand, 2004.
  • Roberto Legaspi, Raymund Sison, and Masayuki Numao. “Self-improving Instructional Plans on the Level of Student Categories”, Proc. the 4th IEEE International Conference on Advanced Learning Technologies (ICALT2004), pp. 475-479, Joensuu, Finland, August 2004.
  • Roberto Legaspi, Raymund Sison, and Masayuki Numao. “A Multi-faceted Self-improving Planner”, Proc. the International Conference on Computers in Education (ICCE2004), Melbourne, Australia, November 2004.
  • Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, and Takashi Okada. “Multiple-Instance Learning Based Heuristics for Mining Chemical Compound Structure”, Proc. Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining, pp. 7-12, Hanoi, Vietnam, December 2004.
  • Sukree Sinthupinyo, Cholwich Nattee, Masayuki Numao, Takashi Okada, and Boonserm Kijsirikul. “Partial Rule Weighting Using Single-Layer Perceptron”, Proc. Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining, pp. 39-44, Hanoi, Vietnam, December 2004.
  • Atsushi Shiro, Masayuki Numao, and Cholwich Nattee. “Preprocessing Planning for Data Mining”, Proc. Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining, pp. 85-90, Hanoi, Vietnam, December 2004.
  • Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura , and Masayuki Numao. “SBSOM: Self-Organizing Map for visualizing structure in the time series of hot topics”, Proc. Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining, pp. 19-24, Hanoi, Vietnam, December 2004.
  • Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Shinya Sato, and Toshiharu Sugawara. “How collective intelligence emerge in complex environment?”, Proc. 1st International Workshop on Biologically Inspired Approaches to Advanced Information Technology (Bio-ADIT) , pp. 498-511, Lausanne, Switzerland, January 2004.
  • Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, and Toshiharu Sugawara. “How Collective Intelligence Emerge in the Standard Minority Game?”, Proc. 9th Workshop on Economics and Heterogeneous Interacting Agents (WEHIA2004), Kyoto, Japan, May 2004.
  • Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Shigemi Aoyagi, Toshihiro Takada, and Toshiharu Sugawara. “Multi-agent Framework for Human-Environment Interaction in Ubiquitous Environment”, Proc. Workshop on Agents for Ubiquitous Computing (UbiAgents2004) (held in conjunction with AAMAS2004), pp. 5-12, New York, U.S.A., July 2004.
  • Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Shigemi Aoyagi, Toshihiro Takada, and Toshiharu Sugawara. “Multi-Agent Human-Environment Interaction Framework for the Ubiquitous Environment”, Proc. International Workshop on Massively Multi-Agent Systems (MMAS2004), pp. 165-178, Kyoto, Japan, December 2004.

2003

[Journals]

  • Koichi Moriyama and Masayuki Numao. “Self-evaluated Learning Agent in Multiple State Games”, Lecture Notes in Artificial Intelligence, vol. 2837, pp. 289-300, 2003.

[Conferences and Workshops]

  • Ryutaro Ichise and Masayuki Numao. “Relational Mining for Temporal Medical Data”, Proc. the Second IASTED International Conference on Information and Knowledge Sharing (IKS2003), pp. 164-169, November 2003.
  • Ryutaro Ichise and Masayuki Numao. “Discovery of Temperal Relationships using Graph Structures”, Proc. the Second International Workshop on Active Mining, pp. 118-129, October 2003.
  • Nobuhiro Konishi, Akihiro Hashihara, and Masayuki Numao. “Towards Designing Meta-Navigation Space for Self-directed Learning on the Web”, Proc. the International Conference on Computers in Education (ICCE2003), pp. 22-28, December 2003.
  • Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, and Takashi Okada. “Mining Chemical Compound Structure Data Using Inductive Logic Programming”, Proc. the 2nd International Workshop on Active Mining, pp. 159-168, October 2003.
  • Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Shinya Sato, and Toshiharu Sugawara. “Simple but efficient collaboration in a complex competitive situation”, Proc. the 2nd International Joint Conference onf Autonomous Agents and Multiagent Systems (AAMAS2003), pp. 1042-1043, Melbourne, Australia, July 2003.

[Technical Reports]

  • Koichi Moriyama and Masayuki Numao. “Generating Self-Evaluations to Learn Appropriate Actions in Various Games”, Department of Computer Science, Tokyo Institute of Technology. TR03-0002. 2003.

2002

[Books]

  • Masayuki Numao, Masashi Yoshida, and Yusuke Ito. Editted by Hiroshi Motoda. “Data Mining on the WAVEs — Word-of-mouth-Assisting Virtual Environments”, Active Mining, Frontiers in Artificial Intelligence and Applications, vol. 79, pp. 11-20, 2002.

[Journals]

  • Masayuki Numao, Masashi Yoshida, and Yusuke Ito. “Data Mining on the WAVEs — Word-of-mouth-Assisting Virtual Environments”, Frontiers in Artificial Intelligence and Applications, vol. 79, pp. 11-20, 2002.
  • Tuan Nam Tran and Masayuki Numao. “Active Information Gathering by Making Use of Existing Databases”, Transactions of the Japanese Society of Artificial Intelligence, 17 (5). pp. 622-629, 2002.
  • Tuan Nam Tran and Masayuki Numao. “Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sources, Frontiers in Artificial Intelligence and Applications”, Frontiers in Artificial Intelligence and Applications, vol. 79, pp. 3-10, 2002.
  • Xiaolong Zhang and Masayuki Numao. “Toward Effective Knowledge Acquisition with First-Order Logic Induction”, Journal of Computer Science and Technology, 17 (5). 2002.

[Conferences and Workshops]

  • Masayuki Numao, Daishi Kato, and Masaru Yokoyama. “Learning Organization in Global Intelligence”, Collaborative Learning Agents, Papers from the 2002 AAAI SpringSymposium(Technical Report SS-02-02), pp. 41-47, 2002.
  • Masayuki Numao, Shoichi Takagi, and Keisuke Nakamura. “Constructive Adaptive User Interfaces — Composing Music Based on Human Feelings”, Proc. Eighteenth National Conference on Artificial Intelligence (AAAI-02), pp. 193-198, 2002.
  • Masayuki Numao, Shoichi Takagi, and Keisuke Nakamura. “CAUI demonstration — Composing Music Based on Human Feelings”, Proc. Eighteenth National Conference on Artificial Intelligence (AAAI-02), pp. 1010-1011, 2002.
  • Koichi Moriyama and Masayuki Numao. “Construction of a Learning Agent Handling Its Rewards According to Environmental Situations”, Proc. the First International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2002), pp. 1262-1263, 2002.
  • Tuan Nam Tran and Masayuki Numao. “Text Mining from Biomedical Literature Using Term Extraction and Association Rule Mining”, Proceedings of the International Conference on Machine Learning and Applications (ICMLA’02), pp. 70-76, 2002.

2001

[Journals]

  • Masayuki Numao and Taisuke Sato. “Tutorial Series on Web-computing”, New Generation Computing, vol. 19, p. 193, 2001.
  • Ryutaro Ichise and Masayuki Numao. “Learning First-Order Rules to Handle Medical Data”, NII Journal, vol. 2, pp. 9-14, 2001.
  • Chowdhury Rahman Mofizur and Masayuki NUMAO. “Automated bias shift in a constrained space for logic program synthesis”, Transactions of the Japanese Society of Artificial Intelligence, 16 (6). pp. 548-556, 2001.

[Conferences and Workshops]

  • Cholwich Nattee and Masayuki Numao. “Geometric Method for Document Understanding and Classification using On-line Machine Learning”, Sixth International Conference on Document Analysis and Recognition, pp. 602-606, 2001.
  • Tuan Nam Tran and Masayuki Numao. “Text Data Mining in Biomedical Literature by Combining with an Information Retrieval Approach”, Proc. the 14th International Conference on Applications of Prolog, pp. 295-304, 2001.
  • Kempei Igarashi, Yoshihiro Ohta, Shigeki Yokoyama, and Masayuki Numao. “Structual Data Transformation in Datamining using XML (in Japanese)”, The 15th Annual Conference of Japanese Society for Artificial Intelligence, 2001.

2000

[Journals]

  • Raymund Sison, Masayuki Numao, and Masamichi Shimura. “Multistrategy Discovery and Detection of Novice Programmer Errors”, Machine Learning, vol. 38, pp. 157-180, 2000.
  • Oscar Ortega and Masayuki Numao. “Ordered Estimation of Missing Values for Propositional Learning”, Journal of the Japanese Society for Artificial Intelligence, 15 (1). pp. 162-168, 2000.
  • Oscar Ortega and Masayuki Numao. “Suitable Domains for Using Ordered Attribute Trees to Impute Missing Values”, IEICE Transactions, 2000.
  • Takashi Ishikawa, Masayuki Numao, and Takao Terano. “Discovering Protein Functional Models Using Inductive Logic Programming”, Lecture Notes in Artificial Intelligence, vol. 1805, pp. 212-215, 2000.
  • Takashi Ishikawa, Masayuki Numao, and Takao Terano. “Using Domain Knowledge in ILP to Discover Protein Functional Models”, Lecture Notes in Artificial Intelligence, vol. 1886, pp. 83-92, 2000.
  • Koichi Moriyama and Masayuki Numao. “Constructing an Autonomous Agent with an Interdependent Heuristics”, Lecture Notes in Artificial Intelligence, vol. 1886, pp. 329-339, 2000.

[Conferences and Workshops]

  • Oscar Ortega and Masayuki Numao. “On the Applicability of a Machine Learning Method for Estimating Missing Values”, Workshop as part of the Seventeenth International Conference on Machine Learning, 2000.
  • Masayuki Numao. “Long-term learning in Global Intelligence”, 17th Workshop on Machine Intelligence, 2000.
  • Masayuki Numao. “Modeling Embedded Persons — Cognitive Modeling in Global Intelligence”, Proc. International Conference on Cognitive Modeling, pp. 289-290, 2000.
  • Masayuki Numao and Shoichi Takagi. “Modeling Human Feelings in Music”, Proc. International Conference on Cognitive Modeling, pp. 291-292, 2000.

1999

[Journals]

  • Masayuki Numao, S. Morita, and K. Karaki. “A learning mechanism for logic programs using dynamically shared substructures”, Machine Intelligence 15, Oxford University Press, pp. 268-284, 1999.
  • Masayuki Numao and Masaru Yokoyama. “Inheriting Hierarchical Knowledge in an Information Filtering System (in Japanese)”, IPSJ SIG Notes, vol. 99-ICS-116, pp. 43-48, 1999.
  • Raymund Sison, Masayuki Numao, and Masamichi Shimura. “Incremental Multistrategy Relational Conceptual Clustering and Ordering Effects”, Journal of the Japanese Society for Artificial Intelligence, 14 (1). pp. 157-165, 1999.
  • Raymund Sison and Masamichi Shimura. “Student Modeling and Machine Learning”, International Journal of Artificial Intelligence in Education, 1999.
  • Oscar Ortega and Masayuki Numao. “Ordered Estimation of Missing Values”, Proc. 3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Lecture Notes in Computer Science, vol. 1574, pp. 274-278, 1999.

[Conferences and Workshops]

  • Daishi Kato and Masayuki Numao. “A Web Metasearch Engine Using Information Filtering Technique (in Japanese)”, 58th National Conference of IPSJ, pp. 2U-8, 1999.
  • Masayuki Numao. “Towards a Society of Intelligent Agents (Invited Lecture)”, Proc. International Conference on Computer and Information Technology, p. 228, 1999.
  • Masayuki Numao. “Global Intelligence Project — Towards a Learning Society of Agents”, Proc. 1st IMC Workshop on Knowledge Mining in the Real World, 1999.
  • Ryutaro Ichise and Masayuki Numao. “Constructing Human Feeling Models with Machine Induction”, Proc. 2nd International Conference on Cognitive Science and 16th Annual Meeting of the Japanese Cognitive Science Society Joint Conference, pp. 942-945, 1999.
  • Ryutao Ichise and Masayuki Numao. “Discovering Time Series Rules from Medical Databases”, Proc. 1st IMC Workshop on Knowledge Mining in the Real World, 1999.
  • Takashi Ishikawa, Masayuki Numao, and Takao Terano. “Protein Funcional Models”, Proc. 1st IMC Workshop on Knowledge Mining in the Real World, 1999.

1998

[Journals]

  • Xiolong Zhang and Masayuki Numao. “An Efficient Approach to Handling Noisy Domains”, Journal of Japanese Society for Artificial Intelligence, 13 (2). pp. 292-299, 1998.
  • Xiaolong Zhang and Masayuki Numao. “An Efficient Approach for Discovering Knowledge from Multiple Databases”, Chinese Journal of Advanced Software Research, vol. 5, Allerton Press, 1998.
  • Xiaolong Zhang and Masayuki Numao. “Learning and Revising Theories using the MDL principle”, Chinese Journal of Advanced Software Research, vol. 5, Allerton Press, 1998.
  • Xiaolong Zhang and Masayuki Numao. “An efficient multiple predicate Learner”, Journal of Computer Science and Technology, Allerton Press, 1998.
  • Nada Lavrac, Saso Dzeroski, and Masayuki Numao. “Inductive logic programming for relational knowledge discovery”, New Generation Computing, vol. 17, pp. 3-23, 1998.
  • Raymund Sison, Masayuki Numao, and Masamichi Shimura. “Discovering Error Classes from Discrepancies in Novice Behavior via Multistrategy Conceptual Clustering”, User Modeling and User-Adapted Interaction (Special Issue on Machine Learning for User Modeling), vol. 8, pp. 103-129, 1998.
  • Ken Kuriyama, Takao Terano, and Masayuki Numao. “Authoring Support by Interactive Genetic Algorithms”, International Journal of Knowledge-Based Intelligent Engineering Systems, 2 (4). pp. 197-202, 1998.

[Conferences and Workshops]

  • Masayuki Numao. “Learning of human feelings by inductive logic programming (invited lecture)”, Proc. Workshop on applied learning theory, DOI, pp. 1-17, Kaiserslautern, Germany, 1998.
  • Xiaolong Zhang, Tetsuo Narita, and Masayuki Numao. “Toward Effective Knowledge Acquisition with First Order Logic Induction”, The First International Conference on Discovery Science, pp. 399-400, 1998.
  • Raymund Sison, Masayuki Numao, and Masamichi Shimura. “Detecting Errors in Novice Programs via Unsupervised Multistrategy Learning”, Proceedings of the Fourth International Workshop on Multistrategy Learning, pp. 135-140, 1998.
  • Raymund Sison, Masayuki Numao, and Masamichi Shimura. “Two Heads are Better than One: Causality and Similarity in Misconception Discovery”, Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, pp. 986-991, 1998.
  • Ken Kuriyama, Takao Terano, and Masayuki Numao. “Authoring Support by Interactive Genetic Algorithm and Case Based Retrieval”, Second International Conference on Knowledge-based Intelligent Electronic Systems, pp. 390-395, 1998.
  • Ken Kuriyama, Takao Terano, and Masayuki Numao. “Story Composition Support by IGA and CBR”, The 3rd Asian Fuzzy Systems Symposum, 1998.

1997

[Journals]

  • Raymund Sison, Masayuki Numao, and Masamichi Shimura. “Discovering Misconceptions Using Integrated Similarity and Causality Based Conceptual Clustering”, Proc. Artificial Intelligence in Education, IOS Press / Ohm-sha, pp. 379-385, 1997.
  • M. Yokoyama and Masayuki Numao. “A News Filtering System which obtains both social and personal ratings (in Japanese)”, Japanese Society for Artificial Intelligence, vol. SIG-FAI-9702-15, pp. 85-89, 1997.
  • Xiaolong Zhang and Masayuki Numao. “MPL-Core: An Efficient Multiple Predicate Learner Based on Fast Failure Mechanism”, Journal of Japanese Society for Artificial Intelligence, 12 (4). pp. 582-589, 1997.
  • Xiolong Zhang and Masayuki Numao. “Learning and revising theories in noisy domains”, Lecture Notes in Artificial Intelligence, vol. 1316, pp. 339-351, 1997.
  • Xiaolong Zhang and Masayuki Numao. “A relational Learner: Combining Meta-knowledge and Information-Based Methods”, Chinese Journal of Advanced Software Research, vol. 4, Allerton Press, pp. 194-206, 1997.

[Conferences and Workshops]

  • Masayuki Numao, Masashi Kobayashi, and Katsuyuki Sakaniwa. “Acquisition of Human Feelings in Music Arrangement”, Proc. IJCAI 97, pp. 268-273, 1997.
  • Raymund Sison, Masayuki Numao, and Masamichi Shimura. “Using Data and Theory in Multistrategy (Mis)Concept(ion) Discovery”, Proc. IJCAI 97, pp. 274-279, 1997.
  • Raymund Sison, Masayuki Numao, and Masamichi Shimura. “On Using Theory and Data in Misconception Discovery”, Proc. Annual Conference of the Cognitive Science Society, pp. 692-696, 1997.

1996

[Journals]

  • Masayuki Numao and Yuko Wakatsuki. “ILP on Decision Trees”, Japanese Society for Artificial Intelligence SIG, vol. SIG-FAI-9601, pp. 124-128, 1996.
  • Chowdhury Rahman Mofizur and Masayuki Numao. “Top-down Induction of Recursive Programs from Small Number of Sparse Examples”, Advances in Inductive Logic Programming, IOS Press / Ohmsha, pp. 236-253, 1996.

[Conferences and Workshops]

  • Masayuki Numao. “Learning Music Arrangements and their evaluation based on psychological experiments”, Keio International Workshop on Verbalization of Tacit Knowledge using Inductive Inference, 1996.
  • Chowdhury Rahman Mofizur and Masayuki NUMAO. “Learning simple Recursive Concepts by Discovering Missing Examples”, Lecture Notes in Artificial Intelligence, pp. 360-371, 1996.
  • Xiaolong Zhang and Masayuki Numao. “Inductive Learning from Incremental Background Knowledge”, Proc. of the Tenth Annual Conference of JSAI, pp. 45-48, Tokyo, Japan, 1996.
  • Xiaolong Zhang and Masayuki Numao. “Efficient multiple predicate Learner based on fast failure mechanism”, PRICAI’96: Topics in Artificial Intelligence, pp. 35-46, 1996.
  • Xiaolong Zhang and Masayuki Numao. “On the utility of clause reuse in inductive logic programming”, Japanese Society for Artificial Intelligence SIG, pp. 118-123, 1996.
  • Xiaolong Zhang and Masayuki Numao. “A relational learner controlled by meta-knowledge”, Proc. of the IEICE General Conference, pp. D-150, Tokyo, Japan, 1996.

1995

[Journals]

  • Masayuki Numao. “Global Intelligence — Towards a global-size society of mind (in Japanese)”, Information Processing Society of Japan SIG Notes, vol. 95-AI-100, 1995.

[Conferences and Workshops]

  • Masayuki Numao, S. Morita, and K. Karaki. “A learning mechanism for logic programs using dynamically shared substructures”, International Workshop on Machine Intelligence, Oxford, UK, 1995. (Also in 95TR-0001, Department of Computer Science, Tokyo Institute of Technology, 1995)
  • Chowdhury Rahman Mofizur and Masayuki Numao. “Top-down Induction of Recursive Programs from Small Number of Sparse Examples”, International Workshop on Inductive Logic Programming, pp. 161-180, Leuven, Belgium, 1995.
  • Chowdhury Rahman Mofizur and Masayuki Numao. “Logic Program Synthesis as a Controlled Search through Appropriate Hypothesis Sub-Space”, International Workshop on Inductive Logic Programming, pp. 373-386, Leuven, Belgium, 1995.
  • Chowdhury Rahman Mofizur and Masayuki Numao. “Look-ahead in ILP by Taming the Hypothesis Search Space”, The Eighth Australian Joint Conference on Artificial Intelligence, pp. 299-306, 1995.

[Technical Reports]

  • Masayuki Numao, S. Morita, and K. Karaki. “A Learning Mechanism of Logic Programs by Dynamically Sharing Substructures”, Department of Computer Science, Tokyo Institute of Technology. 95TR-0001. 1995.

1994

[Journals]

  • Masayuki Numao, Takashi Maruoka, and Masamichi Shimura. “Inductively Speeding Up Logic Programs”, Machine Intelligence, vol. 13, Oxford University Press, pp. 371-385, 1994.
  • Chowdhury Rahman Mofizur and Masayuki Numao. “Constructive Induction for Recursive Programs”, Lecture Notes in Artificial Intelligence, vol. 872, pp. 161-175, 1994.
  • Chowdhury Rahman Mofizur and Masayuki Numao. “Relaxing Bias on First Order Theory Formation”, Information Processing Society of Japan SIG, vol. 94-AI-97, pp. 21-30, 1994.
  • R. Pfeifer. “The “Fungus Eater Approach” to Emotion: A View from Artificial Intelligence”, COGNITIVE STUDIES: Bulletin of the Japanese Cognitive Science Society, 1 (2). pp. 42-57, 1994.

[Conferences and Workshops]

  • Shigeru Morita and Masayuki Numao. “Overcoming the utility problem in learning to prove geometry theorems (in Japanese)”, Proc. 8th Annual Conference of JSAI, pp. 161-164, 1994.

1993

[Conferences and Workshops]

  • Somkiat Tangkitvanich and Masamichi Shimura. “Learning from an approximate theory and noisy examples”, AAAI93, pp. 466-471, 1993.

1992

[Conferences and Workshops]

  • Somkiat Tangkitvanich, Masayuki Numao, and Masamichi Shimura. “Correcting multiple faults in the concept and subconcepts by learning and abduction”, Proc. ILP92, Tokyo, Japan, 1992.
  • Boonserm Kijsirikul, Masayuki Numao, and Masamichi Shimura. “Discrimination-Based Constructive Induction of Logic Programs”, AAAI92, pp. 44-49, 1992.
  • Masayuki Numao, T. Maruoka, and Masamichi Shimura. “Inductive Speed-Up Learning of Logic Programs”, International Workshop on Machine Intelligence, Glasgow, UK, 1992.
  • Somkiat Tangkitvanich and Masamichi Shimura. “Refining a Relational Theory with Multiple Faults in the Concept and Subconcept”, Machine Learning: Proc. 9th International Workshop, pp. 436-444, 1992.

1991

[Conferences and Workshops]

  • Boonserm Kijsirikul, Masayuki Numao, and Masamichi Shimura. “Efficient Learning of Logic Programs with Non-determinate, Non-discriminating Literals”, Proceedings of the First International Workshop on Inductive Logic Programming, Viana de Castelo, Portugal, 1991.
  • Boonserm Kijsirikul, Masayuki Numao, and Masamichi Shimura. “Efficient Learning of Logic Programs with Non-determinate, Non-discriminating Literals”, Proceedings of the Eighth International Workshop on Machine Learning, pp. 417-421, San Mateo, CA, 1991.
  • Somkiat Tangkitvanich and Masamichi Shimura. “Recovery from Multiple Faults in Relational Theory”, ALT91, pp. 277-287, Tokyo, 1991.

1990

[Journals]

  • Masayuki Numao, Eiji Matsumoto, and Masamichi Shimura. “Pea: A Learning Shell Based on Decomposed Explanation Structures (in Japanese)”, Japanese Society for Artificial Intelligence, vol. SIG-FAI-HICG-KBS-9001, pp. 31-40, 1990.

[Conferences and Workshops]

  • Masayuki Numao and Masamichi Shimura. “Inductive Program Synthesis by using a Reversible Meta-Interpreter”, Proceedings of the Second Workshop on Meta-Programming in Logic, pp. 123-136, Leuven, Belgium, 1990.
  • Masayuki Numao and Masamichi Shimura. “A Knowledge-Level Analysis of Explanation-Based Learning”, Proceedings of the Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, pp. 959-967, New York, NY, 1990.
  • Masayuki Numao. “Analytical Learning of Inductive Inference”, Proceedings of the 9th European Conference on Artificial Intelligence, pp. 473-478, London, 1990.

1989

[Journals]

  • Masayuki Numao and Masamichi Shimura. “A Learning Method Based on Partial Structures of Explanations (in Japanese)”, The Transactions of the Institute of Electronics, Information and Communication Engineers, J72-D-II (2). pp. 263-270, 1989.
  • Masayuki Numao and Masamichi Shimura. “Learning of Multiple-step Tasks from Examples(in Japanese)”, Transaction of Information Processing Society of Japan, 30 (3). 1989.

[Conferences and Workshops]

  • Masayuki Numao and Masamichi Shimura. “Program Synthesis Based on Explanations”, Workshop on Learning ’89, Sapporo, Japan, 1989.
  • Masayuki Numao. “Learning in Real Situations — A Meta-Theory of Learning and its Application —“, Workshop on Learning ’89, Sapporo, Japan, 1989.
  • Masayuki Numao and M. Shimura. “Explanation-Based Acceleration of Similarity-Based Learning”, Proceedings of the Sixth International Workshop on Machine Learning, pp. 58-60, Palo Alto, CA, 1989.

1988

[Books]

  • P. N. Johnson-Laird. “Mental Models (translation into Japanese in collaboration with others)”, Sangyo-Tosho. Tokyo, 1988.

[Journals]

  • Masayuki Numao. “Explanation-Based Learning – Approaches by Using Domain-Specific Knowledge -“, Journal of Japanese Society for Artificial Intelligence, 3 (6). pp. 704-711, 1988. (in Japanese)
  • Masayuki Numao and Masamichi Shimura. “Prolog Program Synthesis Based on Explanations (in Japanese)”, Japanese Society for Artificial Intelligence, vol. SIG-FAI-8801, 1988.
  • Masayuki Numao and Masamichi Shimura. “Analogical Reasoning by Decomposing Explanation Structure (in Japanese)”, The Japanese Cognitive Science Society, vol. SIGLAL88, pp. 1-10, 1988.

[Conferences and Workshops]

  • Masayuki Numao and Masamichi Shimura. “Program Synthesis by Purpose Directed Analogy (in Japanese)”, 37th National Conference of IPSJ, pp. 1397-1398, 1988.

1987

[Conferences and Workshops]

  • Masayuki Numao and Masamichi Shimura. “Learning of Multiple-step Tasks from Examples (in Japanese)”, Workshop on Learning ’87, pp. 1-16, Sapporo, Japan, 1987.
  • Masayuki Numao, Kazuo Hori, and Masamichi Shimura. “An Application of Production System Nat to a Lisp Tutor (in Japanese)”, Proc. of the First Annual Conference of JSAI, pp. 485-488, 1987.
  • Masayuki Numao and Masamichi Shimura. “Learning by Decomposition of Relational Productions (in Japanese)”, 35th National Conference of IPSJ, pp. 1861-1862, 1987.

1986

[Journals]

  • Masayuki Numao and Masamichi Shimura. “Evaluation of graph representations with active nodes”, Lecture Notes in Computer Science, vol. 220, Springer-Verlag, pp. 17-43, 1986.
  • Masayuki Numao and Masamichi Shimura. “Learning from Examples Based on Domain Knowledge(in Japanese)”, Information Processing Society of Japan, vol. 86-AI-45, 1986.
  • Masayuki Numao and Masamichi Shimura. “NAT: NonAlgorithmic Translator (in Japanese)”, Information Processing Society of Japan, vol. 86-SYM-38, pp. 1-10, 1986.

[Conferences and Workshops]

  • Masayuki Numao and Masamichi Shimura. “Learning in the Production System Nat”, 33rd National Conference of Information Processing Society of Japan, pp. 1669-1670, 1986. (in Japanese)

1985

[Journals]

  • Masayuki Numao and Masamichi Shimura. “Evaluation of the functional symbol manipulation language in distributed systems (in Japanese)”, Transaction of Information Processing Society of Japan, 26 (2). pp. 247-256, 1985.
  • Masayuki Numao and Masamichi Shimura. “Construction of a Program Translation System by Learning (in Japanese)”, Information Processing Society of Japan, vol. 85-AI-40, 1985.

1984

[Conferences and Workshops]

  • Masayuki Numao and Masamichi Shimura. “An Evaluation Method of Functional Programming Languages for Distributed Systems (in Japanese)”, Symposium at Institute of Physical and Chemical Research, 1984.

[Technical Reports]

  • Masayuki Numao and Masamichi Shimura. “Evaluating Graph Representations with Active Nodes”, Research Institute for Mathematical Sciences, Kyoto University. 511. 1984.

1983

[Journals]

  • Masayuki Numao and Masamichi Shimura. “Implementation of Functional Languages Using Tree Structures (in Japanese)”, Information Processing Society of Japan, vol. WGSF5-1, 1983.

[Conferences and Workshops]

  • Masayuki Numao and Masamichi Shimura. “Introducing a Inverted Stream to Stream Processing Functions (in Japanese)”, 26th National Conference of IPSJ, pp. 351-352, 1983.
  • Masayuki Numao and Masamichi Shimura. “An Evaluation Method of Functional Programming Languages for Distributed Systems (in Japanese)”, 27th National Conference of IPSJ, pp. 293-294, 1983.

1981

[Conferences and Workshops]

  • Masayuki Numao and Masamichi Shimura. “A mini operating system dealing with character streams”, Sixth Student Conference of Japanese Electricity Society, 1981. (in Japanese)

Generated using modified bibtex2xml.py and bibList.xsl.