With review

  1. Hayato Uraji, Taweesak Emsawas, Juan Lorenzo Hagad, Ken-ichi Fukui and Masayuki Numao. “Analyzing the effect of video media on emotion using a VR headset platform and physiological data”, Workshop on Computation: Theory and Practice (WCTP-2018), Sep. 2018.
  2. Sirawit Sopchoke, Ken-ichi Fukui and Masayuki Numao, “Explainable Cross-domain Recommendations Through Relational Learning”, Proc. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), Student Abstract and Poster Program, pp. 8159-8160, Feb. 2018. (poster)
  3. Sirawit Sopchoke, Ken-ichi Fukui, and Masayuki Numao. “Bisociative Serendipity Music Recommendation”, Workshop on Computation: Theory and Practice (WCTP-2017), Sep. 2017.
  4. 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)
  5. 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, pp. 4991-4992, Feb. 2017. (poster)
  6. Nattapong Thammasan, Megumi Iwano, Koichi Moriyama, Ken-ichi Fukui, Kornraphop Kawintiranon, Yanika Buatong, Shigenori Inagaki, Tetsuichi Wazawa, 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, Dec. 2016.
  7. 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, Oct. 2016.
  8. Keiko Hori, Takanori Matsui, Satoshi Ono, Kenichi Fukui, Takashi Hasuike, and Takashi Machimura. “Development and Application of a Multi-Objective Optimization Tool for Renewable Energy Mix in Municipalities”, The 12th Biennial International Conference on EcoBalance, Oct. 2016.
  9. Patraporn Senachakr, Nattapong Thammasan, Ken-ichi Fukui and Masayuki Numao. “Music-emotion Recognition based on Wearable Dry-electrode Electroencephalogram”, Workshop on Computation: Theory and Practice (WCTP-2016), Sep. 2016.
  10. Juan Lorenzo Hagad, Ken-ichi Fukui, 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, Aug. 2016.
  11. Tomoko Kashima, Shimpei Matsumoto, Takashi Hasuike, 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, July 2016.
  12. Juan Lorenzo Hagad, Koichi Moriyama, Ken-ichi Fukui, 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, Oct. 2015.
  13. 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, Aug/Sep 2015.
  14. 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 & Health Informatics (BIH’15), pp. 242-251, Aug/Sep 2015.
  15. 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, Dec. 2014.
  16. 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, Dec. 2014.
  17. 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”, Theory and Practice of Computation (Post. Proc. Workshop on Computation: Theory and Practice (WCTP-2014)), pp. 55-66, Oct. 2014.
  18. Wataru Fujita, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Learning better strategies with a combination of complementary reinforcement learning algorithms”, Theory and Practice of Computation (Post. Proc. Workshop on Computation: Theory and Practice (WCTP-2014)), pp. 43-54, Oct. 2014.
  19. Nattapong Thammasan, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao. “Dynamic and Individual Emotion Recognition Based on EEG during Music Listening”, Theory and Practice of Computation (Post. Proc. Workshop on Computation: Theory and Practice (WCTP-2014)), pp. 87-98, Oct. 2014.
  20. 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, Aug. 2014.
  21. 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, Nov. 2013. (poster)
  22. Ira Puspitasari, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao, “Personalization Approach in Health Information Retrieval System”, Proc. 2013 International Conferences on Brain and Health Informatics (BHI 2013), Type II Abstracts, p.81, Oct. 2013.
  23. 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-PKDD2013, pp. 3-18, Sep. 2013.
  24. Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, 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), (World Scientific, 2014), pp. 144-155, Sep. 2013.
  25. 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), (World Scientific, 2014), pp. 168-177, Sep. 2013.
  26. 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, Aug. 3-5, 2013.
  27. 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, Aug. 3-5, 2013.
  28. Ira Puspitasari, 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, Aug. 3-5, 2013.
  29. 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), July 13, 2013.
  30. 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, July, 2013. (poster)
  31. 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), Sep. 2012.
  32. 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), Sep. 2012.
  33. Roberto Legaspi, Akinobu Ueda, Rafael Cabredo, Kenichi Fukui, Koichi Moriyama, Satoshi Kurihara and Masayuki Numao. “Exploring Melodic Motif To Support Affect-Based Music Compositional Intelligence”, The 2nd International Workshop on Empathic Computing (IWEC-11), pp. 219-225, Oct. 2011.
  34. 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), Sep. 2011.
  35. 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”, Proc. Workshop on Computation: Theory and Practice (WCTP-2011) appears in Theory and Practice of Computation, PICT 5, pp. 174-186, Springer Verlag, Sep. 2011.
  36. 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 INSS2011), pp. 14-19, June. 2011.
  37. 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, Aug./Sep. 2010.
  38. 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, Dec. 2008.
  39. 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-08), on CD-ROM, June, 2008.
  40. 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-08), pp. 209-214, May, 2008.
  41. Hiroshi Tamaki, Ken-ichi Fukui, Masayuki Numao, and Satoshi Kurihara, “Acquisition of Sensor-Network Topology Based on Multi-Agent Pheromonal Coordination”, Proc. the Workshop on Heterogeneous Agent Systems and Complex Networks in European Conference on Complex Systems (ECCS-07), on CD-ROM, Oct. 2007.
  42. Hiroshi Tamaki, Ken-ichi Fukui , Koichi Moriyama, Satoshi Kurihara, Masayuki Numao. “Automatic Acquisition of Sensor-Network Topology Based on Pheromone Communication Model”, IEEE Proc. Fourth International Conference on Networked Sensing Systems (INSS-07), p.292, Jun. 2007. (poster)
  43. Seiichi Honda, Ken-ichi Fukui , Koichi Moriyama, Satoshi Kurihara, Masayuki Numao. “Extracting Human Behaviors with Infrared Sensor Network”, IEEE Proc. Fourth International Conference on Networked Sensing Systems (INSS-07), pp.122-125, Jun. 2007.
  44. Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, Masayuki Numao. “Reinforcement Learning on a Futures Market Simulator”, Proc. the 1st KES Symposium on Agent and Multi-Agent Systems Technologies and Applications (KES-AMSTA-07) (Lecture Notes in Artificial Intelligence), vol. 4496, pp. 42-52, May/June 2007.
  45. K. Sato, N. Imanaka, K. Fukui, M. Numao, S. Kyotani, K. Yashiro, T. Kawada, T. Hashida, J. Mizusaki, “Reliability Evaluation of SOFC Simulated Operating Condition”, Proc. 10th International Symposium on Solid Oxide Fuel Cells (SOFC-X) (Electrochemical Society Transactions), vol.7, no.1, pp.455-458, Jun. 2007.
  46. Satoshi Kurihara, Seiichi Honda, Kenichi Fukui, Koichi Moriyama, Masayuki Numao, Kensuke Fukuda, Toshio Hirotsu, Toshihiro Takada, and Toshiharu Sugawara. “Getting Daily Human Habitual Behaviours from Infrared Sensor”, Proc. third International Conference on Networked Sensing Systems (INSS-06), p.142, June. 2006. (poster)
  47. Roberto Legaspi, Raymund Sison, Kenichi Fukui, and Masayuki Numao. “A CLUSTER-BASED PREDICTIVE MODELING TO PEDAGOGIC REASONING”, Proc. IADIS International Conference on Cognition and Exploratory Learning in Digital Age, Porto, Portugal, pp. 199-207. Dec. 2005.

Without review

  1. Bassel Ali, Ken-ichi Fukui, Wasin Kalinta, Koichi Moriyamach, Masayuki Numao. “Machine Learning for Distance Metric Learning Systems Improvement”, Proc. 21th SANKEN International The 16 SANKEN Nanotechnology Symposium, Jan. 2018.
  2. Nat Pavasant, Hiroshi Furutani, Masayuki Numao, and Ken-ichi Fukui, “ART-2b: Adapted ART-2a for large scale data clustering on PM2.5 mass spectra”, Proc. 2017 IEEE International Conference on Big Data, Dec. 2017. (to appear, poster, with simple review)
  3. 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, p.52, Dec. 2016. (poster)
  4. 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, p.39, Dec. 2015. (poster)
  5. 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, p.58, Dec. 2015. (poster)
  6. 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”, Proc. Workshop on Computation: Theory and Practice (WCTP-2015), Sep. 2015. (abstract only)
  7. Hongle Wu, Ken-ichi Fukui, Takafumi Kato and Masayuki Numao. “Individual Sleep Pattern Characterization via Cluster Analysis of Audio Data”, Proc. Workshop on Computation: Theory and Practice (WCTP-2015), Sep. 2015. (abstract only)
  8. 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), p. 140, Oct. 2014. (abstract only)
  9. V. Vachiratamporn, K. Fukui, K. Moriyama, M. Numao. “Design and Development of an Affective Survivor Horror Game: An Investigation on Player Affect”, The 17th SANKEN International Symposium, p. 149, Jan. 2014. (poster)
  10. I. Puspitasari, K. Fukui, K. Moriyama, M. Numao. “Personalizing Health Information Retrieval System by Context and Health Topic Familiarity”, The 17th SANKEN International Symposium, p. 153, Jan. 2014. (poster)
  11. Ira Puspitasari, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao, “Personalization Approach in Health Information Retrieval System”, Proc. 2013 International Conferences on Brain and Health Informatics (BHI 2013), Type II Abstracts, p.81, Oct. 2013.
  12. Mondheera Pituxcoosuvarn, Roberto Legaspi, Rafael Cabredo, Ken-ichi Fukui, Koichi Moriyama, Noriko Otani, Satoshi Kurihara, and Masayuki Numao, “A Comparison between Genetic and Memetic Algorithm for Automated Music Com-position System”, The 27th Annual Conference of Japanese Society for AI (JSAI 2013) International Organized Session on Intelligent Data Analysis and Applications, June 2013.
  13. 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, Jan. 22-23, 2013. (poster)
  14. Ken-ichi Fukui. “Data Mining for Damage Evaluation Support of an Energy Device”, The 9th Japanese-German Frontiers of Science Symposium (JGFoS), p. 71, Potsdam, Oct. 26-28, 2012.
  15. 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”, Pacific Rim Meeting on Electrochemical and Solid-State Science (PRiME 2012), Oct. 2012.
  16. Masayuki Numao, Rafael Cabredo, Danaipat Sodkomkham, Kazuya Maruo, Roberto Legaspi, Kenichi Fukui, Koichi Moriyama, Satoshi Kurihara. “Extracting Time Series Motifs for Emotion and Behavior Modeling”, Proc. the 15th SANKEN International Symposium, pp. 36-37, Jan. 2012.
  17. 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), Mar. 2011.
  18. 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, Jan. 2010. (poster)
  19. Simon E. Ortiz B., Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao. “Adaptive AI in a Fighting Videogame”, Proc. of the 13th SANKEN International Symposium, p.81, Jan. 2010. (poster)
  20. Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, and Masayuki Numao. “Evaluation of Fracture Dynamics in SOFC by Burst Extraction Method and Sequence-based SOM”, Proc. 11th SANKEN International Symposium, pp.84-85, Feb. 2008. (poster)
  21. R. Legaspi, K. Fukui, K. Moriyama, S. Kurihara, M. Numao, and M. Suarez. “Applying a Cost-effective and Efficient Data-centric Approach to the Physiology-Affect Relations Modeling Domain”, Proc. of the 11th SANKEN International Symposium, pp.100-101, Feb. 2008. (poster)
  22. Hiroshi Tamaki, Ken-ichi Fukui, Masayuki Numao, and Satoshi Kurihara. “Obtaining the Topological Map of Sensor Network with Pheromone System”, Proc. of the 11th SANKEN International Symposium, pp.87-88, Feb. 2008. (poster)
  23. Norihiro Imanaka, Ken-ichi Fukui, Kazuhisa Sato, Koichi Moriyama, Satoshi Kurihara and Masayuki Numao. “Evaluation of Sequential AE Signals in SOFC Utilizing SOM”, Proccedings of the 5th 21st Century COE “Towards Creating New Industry Based on Inter-Nanosicence” International Symposium, pp.159-160, 2006. (poster)
  24. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao.”SBSOM: Self-Organizing Map for visualizing structure in the time series of hot topics”, Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining, IEICE Tech. Rep. Vol.104, No.485, pp.19-24, 2004.
  25. Fukui, K., Kohge, K., and Minemura, K.: “Numerical Simulation of Pulsating Flow in Contraction Pipe”, Proc. 5th JSME-KSME Fluids Engineering Conference, on CD-ROM, 2002.