Publications

Journal Papers

  1. Anna Suzuki, Shuokun Shi, Taro Sakai, Ken-ichi Fukui, Shinya Onodera, Junichi Ishizaki, Toshiyuki Hashida, “Automated parameter estimation for geothermal reservoir modeling using machine learning”, Renewable Energy, 120243, Feb. 2024.
  2. Pongpisit Thanasutives, Takashi Morita, Masayuki Numao, and Ken-ichi Fukui. “Adaptive Uncertainty-Penalized Model Selection for Data-Driven PDE Discovery”, IEEE Access, Jan. 2024. (DOI)
  3. Nat Pavasant, Takashi Morita, Masayuki Numao, and Ken-ichi Fukui. “Granger Causality-based Cluster Sequence Mining for Spatio-temporal Causal Relation Mining”, International Journal of Data Science and Analytics, July 2023. (DOI)
  4. Ken-ichi Fukui, Shunya Ishimaru, Takafumi Kato, and Masayuki Numao. “Sound-based Sleep Assessment with Controllable Subject-Dependent Embedding Using Variational Domain Adversarial Neural Network”, International Journal of Data Science and Analytics, July 2023. (DOI)
  5. Tsuyoshi Thomas Sekiyama, Syugo Hayashi, Ryo Kaneko, and Ken-ichi Fukui. “Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Super-Resolution Convolutional Neural Networks”, Artificial Intelligence for the Earth Systems, Vol. 2, Issue 3, Aug. 2023.
  6. Kazuhisa Sato, Yoshie Yabuta, Keigo Kumada, Ken-ichi Fukui, Masayuki Numao, and Tatsuya Kawada. “Visualizing internal micro-damage distribution in solid oxide fuel cells”, Journal of Power Sources, Vol. 570, 30, 233059, June 2023.
  7. Ryu Shimabukuro, Tomohiko Tomita, and Ken-ichi Fukui. “Update of global maps of Alisov’s climate classification”, Progress in Earth and Planetary Science, Vol. 10, 19, Apr. 2023.
  8. Pongpisit Thanasutives, Takashi Morita, Masayuki Numao, and Ken-ichi Fukui. “Noise-aware Physics-informed Machine Learning for Robust PDE Discovery”, Machine Learning Science and Technology, Vol. 4, No. 1, 015009, Jan. 2023 (DOI).
  9. Taweesak Emsawas, Takashi Morita, Tsukasa Kimura, Ken-ichi Fukui and Masayuki Numao. “Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification”, Sensors, 22(21), 8250, Oct. 2022.
  10. Ryoma Ezaki, Atsuhi Mine, Kazuhisa Sato, Ken-ichi Fukui, Keigo Kumada, Masahiro Yumitate, Shintaro Ban, Azusa Yamanaka, Mariko Matsumoto, Bart Van Meerbeek, Hirokazu Moriya, Toshiyuki Hashida, Hirofumi Yatani. “Development of dental inspection method: Nondestructive evaluation of an adhesive interface by ACTIVE acoustic emission”, Journal of Prosthodontic Research, Vol. 65, No. 2, pp. 236-242, Apr. 2022.
  11. Anna Suzuki, Ken-ichi Fukui, Shinya Onodera, Junichi Ishizaki, and Toshiyuki Hashida. “Data-driven Geothermal Reservoir Modeling: Estimating Permeability Distributions by Machine Learning”, Geosciences, Mar. 2022.
  12. Ekasit Phermphoonphiphat, Tomohiko Tomita, Takashi Morita, Masayuki Numao, and Ken-ichi Fukui. “Soft Periodic Convolutional Recurrent Network for Spatiotemporal Climate Forecast”, Applied Sciences, 11, 9728, Oct. 2021.
  13. Risa Toyota, Ken-ichi Fukui, Mayo Kamimura, Ayano Katagiri, Hajime Sato, Hiroki Toyoda, Pierre Rompré, Kazunori Ikebe, Takafumi Kato. “Sleep stage-dependent changes in tonic masseter and cortical activities in young subjects with primary sleep bruxism”, Sleep, zsab207, Aug. 2021.
  14. Ryoma Ezaki, Atsuhi Mine, Kazuhisa Sato, Ken-ichi Fukui, Keigo Kumada, Masahiro Yumitate, Shintaro Ban, Azusa Yamanaka, Mariko Matsumoto, Bart Van Meerbeek, Toshiyuki Hashida, Hirofumi Yatani. “Development of dental inspection method: nondestructive evaluation of a dentin–adhesive interface by acoustic emission”, Journal of Prosthodontic Research, Vol. 65, No. 4, pp. 438-442, May 2021.
  15. Masashi Kitai, Takuji Kobayashi, Hiroki Fujiwara, Ryoji Tani, Masayuki Numao, and Ken-ichi Fukui. “A Framework for Predicting Remaining Useful Life Curve of Rolling Bearings Under Defect Progression Based on Neural Network and Bayesian Method”, IEEE Access, vol. 9, pp. 62642-62652, Apr. 2021. (DOI)
  16. Juan Lorenzo Hagad, Tsukasa Kimura, Ken-ichi Fukui, Masayuki Numao. “Learning Subject-Generalized Topographical EEG Embeddings Using Deep Variational Autoencoders and Domain-Adversarial Regularization”, Sensors, 21(5), 1792, Mar. 2021.
  17. Bassel Ali, Koichi Moriyama, Wasin Kalintha, Masayuki Numao, and Ken-ichi Fukui, “Reinforcement Learning based Metric Filtering for Evolutionary Distance Metric Learning”, Intelligent Data Analysis, Vol. 24, No. 6, pp. 1345-1364, Dec. 2020.
  18. Sirawit Sopchoke, Ken-ichi Fukui, and Masayuki Numao. “Explainable and Unexpectable Recommendations using Relational Learning on Multiple Domains”, Intelligent Data Analysis, Vol. 24, No. 6, pp. 1289–1309, Dec. 2020.
  19. Ken-ichi Fukui, Yoshiyuki Okada, Kazuki Satoh, and Masayuki Numao. “Cluster Sequence Mining from Event Sequence Data and Its Application to Damage Correlation Analysis”, Knowledge-Based Systems, Elsevier, Vol. 129, pp. 136-144, Sep. 2019. (DOI)
  20. Wasin Kalintha, Satoshi Ono, Masayuki Numao and Ken-ichi Fukui. “Kernelized Evolutionary Distance Metric Learning for Semi-supervised Clustering”, Intelligent Data Analysis, Vol. 23, No. 6, pp. 1271-1297, Nov. 2019.(DOI)
  21. Pittipol Kantavat, Boonserm Kijsirikul, Patoomsiri Songsiri, Ken-ichi Fukui, Masayuki Numao. “Efficient Decision Trees for Multi-class Support Vector Machines Using Entropy and Generalization Error Estimation”, International Journal of Applied Mathematics and Computer Science (AMCS), Vol. 28, No. 4, pp. 705-717, Jan. 2019.
  22. 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 XXVIII, pp. 48-65, Apr. 2018.
  23. 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, Vol. 5, No. 11, Springer, Oct. 2017. (DOI)
  24. 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. (LINK)
  25. Tomoko Kashima, Shimpei Matsumoto, Ken-ichi Fukui, Takashi Hasuike. “Food CMS, Integrated Information Sharing System of Food Production, Marketing, and Consumption”, Information Engineering Express, Vol. 2, No. 3, pp. 31-42, Sep. 2016.
  26. Keiko Hori, Takanori Matsui, Takashi Hasuike, Kenichi Fukui, and Takashi Machimura. “Development and Application of the Renewable Energy Regional Optimization Utility Tool for Environmental Sustainability: REROUTES”, Renewable Energy, Elsevier, Vol. 93, pp. 548-561, Aug. 2016.
  27. Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Familiarity Effects in EEG-based Emotion Recognition”, Brain Informatics, Springer, pp. 1-12, Apr. 2016.
  28. Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao. “Continuous Music-emotion Recognition Based on Electroencephalogram”, IEICE Transactions, Vol. E99-D, No.4, pp. 1234–1241, Apr. 2016.
  29. 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. (DOI)
  30. Ira Puspitasari, Koichi Moriyama, Ken-ichi Fukui, Masayuki Numao. “Effects of Individual Health Topic Familiarity on the Activity Pattern during Health Information Searches”, JMIR Medical Informatics, Vol.3, No.1, e16, Mar. 2015.
  31. 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, Vol. 9. No. 1, pp. 43-54, Mar. 2015.
  32. 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, Vol. 29, No. 6, pp. 493-502, Sep. 2014.
  33. 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, Vol. 12, No. 4, pp. 33-55, Dec. 2014.
  34. 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, Vol.E97-D, No.4, pp.842-851, Apr. 2014.
  35. Daiki Inaba, Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, and Masayuki Numao. “Mining of Co-occurring Clusters for Damage Pattern Extraction of a Fuel Cell”, Transactions of the Japanese Society for Artificial Intelligence, Vol. 27, No. 3, pp. 121-132, 2012. [in Japanese]
  36. Ken-ichi Fukui, Shogo Akasaki, Kazuhisa Sato, Junichiro Mizusaki, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao, “Visualization of Damage Progress in Solid Oxide Fuel Cells”, Journal of Environment and Engineering, Vol. 6, No. 3, pp. 499-511, 2011. (LINK)
  37. Teppei Kitagawa, Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, and Masayuki Numao. “Damage Evaluation on Fuel Cells by Extraction of Essential Events Using KeyGraph and SOM”, Transactions on Mathematical Modeling and its Applications, Vol. 4, No. 2, pp. 1-12, 2011. [in Japanese]
  38. Ken-ichi Fukui, Shogo Akasaki, Kazuhisa Sato, Junichiro Mizusaki, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao, “Performance of Kernel SOM Considering Adjacency for Damage Evaluation”, Transactions on Mathematical Modeling and its Applications, Vol. 3, No. 1, pp. 36-48, 2010. [in Japanese]
  39. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Compilation to Visualize the Dynamic Clusters by the Adapted Self-Organizing Network”, Transactions of the Japanese Society for Artificial Intelligence, Vol. 23, No. 5, pp. 319-329, 2008. [in Japanese]
  40. Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao, “Reinforcement Learning on a Futures Market Simulator”, Journal of Universal Computer Science, Vol. 14, No. 7, pp. 1136-1153, 2008. (invited)
  41. Roberto Legaspi, Raymund Sison, Ken-ichi Fukui, Masayuki Numao, “Cluster-based predictive modeling to improve pedagogic reasoning”, Computers in Human Behavior, Vol.24, pp.153-172, Mar.2008. (invited)
  42. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Evaluation of Vector Representable Topics that were Extracted Automatically”, Transactions on Mathematical Modeling and its Applications, Vol. 48, No. 6, pp. 1-11, 2007. [in Japanese]
  43. Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, and Masayuki Numao. “Visualization Method for Fracture Dynamics in Solid Oxide Fuel Cell”, Information Technology Letters, Vol. 6, pp. 5-8, 2007. [in Japanese]
  44. Hiroshi Tamaki, Ken-ichi Fukui, Masayuki Numao, and Satoshi Kurihara. “Acquisition of Sensor-Network Topology based on Multi-Agent Pheromonal Coordination”, Information Technology Letters, Vol. 6, pp. 153-156, 2007 [in Japanese]
  45. Roberto Legaspi, Raymund Sison, Kenichi Fukui, and Masayuki Numao.”Predicting High-level Student Responses Using Conceptual Clustering.”, Frontiers in Artificial Intelligence and Applications, IOS Press, Vol. 133. pp.761-764, 2005. (invited)

International Conferences/Workshops

  1. Yue Chen, Takashi Morita, Tsukasa Kimura, Takafumi Kato, Masayuki Numao, and Ken-ichi Fukui, “Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment”, Proc. 32nd International Conference on Artificial Neural Networks (ICANN2023), Sep. 2023.
  2. Pongpisit Thanasutives, Masayuki Numao and Ken-ichi Fukui, “Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations”, Proc. 2021 The International Joint Conference on Neural Networks (IJCNN2021), July 2021.
  3. Nat Pavsant, Masayuki Numao, and Ken-ichi Fukui, “Spatio-Temporal Change Detection with Granger Causality Based Cluster Sequence Mining”, Proc. 19th IEEE International Conference on Machine Learning and Applications (ICMLA2020), pp. 551-558, Dec. 2020. (acceptance rate=25.4%)
  4. Bassel Ali, Koichi Moriyama, Wasin Kalintha, Masayuki Numao, and Ken-ichi Fukui, “Reinforcement Learning based Evolutionary Metric Filtering for High Dimensional Problems”, Proc. 19th IEEE International Conference on Machine Learning and Applications (ICMLA2020), pp. 226-233, Dec. 2020. (acceptance rate=25.4%)
  5. Nat Pavasant, Masayuki Numao, and Ken-ichi Fukui, “Spatio-Temporal Change Detection Using Granger Sequence Pattern”, Proc. the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI2020), Doctoral Consortium, pp. 5202-5203, July 2020. (DOI)
  6. Masashi Kitai, Yoshinobu Akamatsu, Ryoji Tani, Hiroki Fujiwara, Masayuki Numao and Ken-ichi Fukui, “Remaining Useful Life Curve Prediction of Rolling Bearings under Defect Progression Based on Hierarchical Bayesian Regression”, Proc. The 2020 European Conference on Artificial Intelligence (ECAI2020), pp. 2986-2992, June 2020. (DOI)
  7. Ken-ichi Fukui, Junya Tanaka, Tomohiko Tomita, and Masayuki Numao. “Physics-guided Neural Network with Model Discrepancy Based on Upper Troposphere Wind Prediction”, Proc. IEEE 18th International Conference on Machine Learning and Applications (ICMLA 2019), pp. 414-419, Dec. 2019.
  8. Bassel Ali, Wasin Kalintha, Koichi Moriyama, Masayuki Numao, and Ken-ichi Fukui. “Reinforcement Learning for Evolutionary Distance Metric Learning Systems Improvement”, Proc. The Genetic and Evolutionary Computation Conference (GECCO 2018), pp. 155-156, July 2018.
  9. Noppayut Sriwatanasakdi, Masayuki Numao and Ken-ichi Fukui. “Concept Drift Detection for Graph-Structured Classifiers under Scarcity of True Labels”, Proc. IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI 2017), pp. 461-468, Nov. 2017. (full paper, acceptance rate=36.7%)
  10. 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.
  11. 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, pp. 592-599, Feb. 2017. (LINK)
  12. 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, pp. 4945-4946, Feb. 2017. (poster, LINK)
  13. 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), Dec. 2016.
  14. 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, Dec. 2016. (poster)
  15. 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), 165-181, Nov. 2016.
  16. Nattapong Thammasan, Ken-ichi Fukui, 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, Aug. 2016.(Best Workshop Paper)
  17. Wu Hongle, Takafumi Kato, Tomomi Yamada, Masayuki Numao, and Ken-ichi Fukui. “Sleep Pattern Discovery via Visualizing Cluster Dynamics of Sound Data”, The 29th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2016) (LNAI 9799), pp. 460-471, Aug. 2016.
  18. Nattapong Thammasan, Ken-ichi Fukui and Masayuki Numao. “Application of Deep Belief Networks in EEG-based Dynamic Music-emotion Recognition”, The International Joint Conference on Neural Networks (IJCNN 2016), pp. 881-888, Jul. 2016.
  19. 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), Vol. 1, pp. 47-55, Feb. 2016. (Best Student Paper)
  20. 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, Dec. 2015.
  21. 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), Oct. 2015.
  22. 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, Oct. 2015.
  23. 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, May 2015.
  24. 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, May 2015. (acceptance rate = 28.9%)
  25. 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, Nov. 2014.
  26. Ken-ichi Fukui, Daiki Inaba, and Masayuki Numao, “Discovery of Damage Patterns in Fuel Cell and Earthquake Occurrence Patterns by Co-occurring Cluster Mining”, Proc. The 2014 AAAI Workshop for Discovery Informatics, pp. 19-26, July 2014.
  27. 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, Nov. 2013.
  28. 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, Oct. 2013.
  29. 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 (PAKDD2012) (LNAI 7301), pp. 354-365, May 2012. (acceptance rate of full presentation = 8.3%)
  30. 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 (PAKDD2012) (LNAI 7301), pp. 49-60, May 2012. (acceptance rate of short presentation = 36.5%)
  31. 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, Jun. 2011.
  32. 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. of 22th IEEE International Conference on Tools with Artificial Intelligence (ICTAI-10), vol.1, pp. 233-240, Arras, France, Oct. 2010. (acceptance rate = 28%)
  33. 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. of the 2nd International Workshop on Combining Intelligent Methods and Applications (CIMA-10) (held in conjunction with ICTAI-10), pp. 24-33, Arras, France, Oct. 2010.
  34. Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Mumao Numao, and Merlin Suarez. “Addressing the Problematic Solution to Data-Centric Physiology-Affect Relations Modeling”, Proc. 2010 International Conference on Intelligent User Interfaces (IUI 2010), pp.21-30, Feb. 2010.
  35. 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 Fuel Cell Science, Engineering and Technology Conference, pp.671-676, June 2009.
  36. Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura, 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, April 2009.(LINK, acceptance rate = 33%)
  37. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao, “Sequence-based SOM: Visualizing Transition of Dynamic Clusters”, Proc. IEEE 8th International Conference on Computer & Information Technology (CIT-08), pp.47-52, on CD-ROM, Jul. 2008. (Best Paper, LINK)
  38. Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, 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-07), Vol.2, pp.193-196, Oct. 2007. (LINK)
  39. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Interpretable Likelihood for Vector Representable Topic”, Proc. 11th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems (KES-07) (Lecture Notes in Computer Science 4694), pp.202-209, Sep. 2007. (LINK)
  40. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Visualization Architecture Based on SOM for Two-Class Sequential Data”, Proc. 10th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems (KES-06) (Lecture Notes in Computer Science 4252), pp.929-936, Oct. 2006. (LINK)
  41. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. “Visualizing Dynamics of the Hot Topics Using Sequence-Based Self-Organizing Maps”, Proc. 9th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems (KES-05) (Lecture Notes in Computer Science 3684), pp.745-751, Sep. 2005. (LINK)
International Conferences/Workshops/Symposiums (others)

Post-Proceedings/Book Chapters

  1. 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, MUSE 2013 revised paper, Springer, pp.131-149, 2015.
  2. Teppei Kitagawa, Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, and Masayuki Numao. Chap. “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)) (Eds. Hatzilygeroudis, Ioannis; Prentzas, Dimitrios), Vol. 8, pp. 89-108, Springer, April 2011. (LINK)
  3. Satoshi Kurihara, Hiroshi Tamaki, Ken-Ichi Fukui, and Masayuki Numao. Chap. “Adaptive Sensor-Network Topology Estimating Algorithm based on the Ant Colony Optimization” in Ant Colony Optimization: Methods and Applications (Ed. Avi Ostfeld), ISBN: 978-953-307-157-2, IN-TECH, pp. 101-112, Feb. 2011.
  4. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao. Chap. “Tracking and Visualizing the Cluster Dynamics by Sequence-based SOM” in Self-Organizing Maps (Ed. George K. Matsopoulos), ISBN:978-953-307-074-2, IN-TECH, pp. 97-112, April 2010. (LINK)
  5. Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. Chap. “Positing a Growth-Centric Approach in Empathic Ambient Human-System Interaction” in Human-Computer Systems Interaction, Backgrounds and Applications, ”’Advances in Soft Computing”’, Springer, Vol.60, pp. 233-244, Oct. 2009.

Invited talks

  1. Ken-ichi Fukui, “Introduction to Machine Learning”, RIME Joint Research Workshop, Kyoto, May 16, 2017.
  2. Ken-ichi Fukui, “Knowledge Discovery from Sequence of Event Data”, RIEC Annual Meeting on Collaborative Research Projects, Sendai, Feb. 23, 2017.
  3. Ken-ichi Fukui, Daiki Inaba, Kazuhisa Sato, and Masayuki Nuamo, “Data Mining for Revealing Damage Phenomena in a Fuel Cell”, The 16th SANKEN International Symposium, pp. 32-33, Jan. 23, 2013.
  4. Ken-ichi Fukui, “Revealing Damage Mechanism of a Fuel Cell: Data Mining for a Physical Phenomenon”, Workshop on Computation: Theory and Practice (WCTP-2012), Sep. 2012.

Journal Editor/Program Committee

  • The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-2024), Program Committee Member
  • The International Joint Conference on Artificial Intelligence (IJCAI-2023, IJCAI-2024), Program Committee Member
  • The 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), Program Committee Member
  • IEEE 10th Global Conference on Consumer Electronics (GCCE-2021), OS-AIR: Artificial Intelligence & Robotics, Reviewer
  • International Conference on Smart Computing and Artificial Intelligence (SCAI2021, SCAI2022, SCAI2022-Winter, SCAI2023, SCAI2023-Winter), Program Committee Member
  • The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Senior Program Committee Member
  • The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Senior Program Committee Member
  • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2020, PAKDD2021, PAKDD2022, PAKDD2024), Program Committee Member
  • European Conference on Artificial Intelligence (ECAI2020), Program Committee Member
  • New Generation Computing, Editorial Board Member, 2018-
  • International Symposium on Computing and Networking (CANDAR2018, CANDAR2019, CANDAR2020, CANDAR2021, CANDAR2022, CANDAR2023, CANDAR2024), Program Committee Member
  • International Workshop on GPU Computing and AI (GCA’18, GCA’19, GCA’20, GCA’21, GCA’22, GCA’23), Program Committee Member
  • International Display Workshop(IDW’18), Program Committee Member
  • IEEE International Conference on Systems, Man, and Cybernetics (SMC2017, SMC2019, SMC2020), Technical Program Committee Member
  • International Conference on Business Management of Technology (BMOT2016, BMOT2017, BMOT2018, BMOT2019, BMOT2020), Program Committee Member
  • Workshop on Mathematical Modeling and Problem Solving (PDPTA’16, PDPTA’17, PDPTA’18), Program Committee Member
  • 1st International Conference on Sustainable Design and Manufacturing (SDM-2014), International Program Committee member
  • 4th International Workshop on Empathic Computing (IWEC-2013) at IJCAI-13, Program Committee Member
  • Workshop on Computation: Theory and Practice (WCTP-2012, WCTP-2013, WCTP-2014, WCTP-2016, WCTP-2017, WCTP-2018, WCTP-2019, WCTP-2023), Program Committee Member

Organizer

  • The international organized session “Application Oriented Principles of Machine Learning and Data Mining” held in the 26th annual conference of Japanese Society of Artificial Intelligence (JSAI2012), Organizer, 2012