Ken-ichi Fukui

According to our database1, Ken-ichi Fukui authored at least 59 papers between 2005 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Cluster sequence mining from event sequence data and its application to damage correlation analysis.
Knowl.-Based Syst., 2019

2018
Two-Stage Reinforcement Learning Algorithm for Quick Cooperation in Repeated Games.
Trans. Computational Collective Intelligence, 2018

Efficient Decision Trees for Multi-Class Support Vector Machines Using Entropy and Generalization Error Estimation.
Applied Mathematics and Computer Science, 2018

Reinforcement learning for evolutionary distance metric learning systems improvement.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Explainable Cross-Domain Recommendations Through Relational Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Familiarity effects in EEG-based emotion recognition.
Brain Informatics, 2017

Personal sleep pattern visualization using sequence-based kernel self-organizing map on sound data.
Artificial Intelligence in Medicine, 2017

Reinforcement learning based distance metric filtering approach in clustering.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Concept Drift Detection for Graph-Structured Classifiers under Scarcity of True Labels.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

ART-2b: Adapted ART-2a for large scale data clustering on PM2.5 mass spectra.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Multimodal stability-sensitive emotion recognition based on brainwave and physiological signals.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017

Personal Sleep Pattern Visualization via Clustering on Sound Data.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multimodal Fusion of EEG and Musical Features in Music-Emotion Recognition.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes.
Knowl.-Based Syst., 2016

Continuous Music-Emotion Recognition Based on Electroencephalogram.
IEICE Transactions, 2016

Decision tree-based feature function design in conditional random field applied to error detection of ocean observation data.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An investigation of annotation smoothing for EEG-based continuous music-emotion recognition.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Application of Annotation Smoothing for Subject-Independent Emotion Recognition Based on Electroencephalogram.
Proceedings of the Trends in Artificial Intelligence: PRICAI 2016 Workshops, 2016

Application of deep belief networks in eeg-based dynamic music-emotion recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Implementation of Integrated Information Sharing System of Food Production, Marketing, and Consumption.
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016

Sleep Pattern Discovery via Visualizing Cluster Dynamics of Sound Data.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

Error Detection of Ocean Depth Series Data with Area Partitioning and Using Sliding Window.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Adaptive Two-stage Learning Algorithm for Repeated Games.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

2015
An analysis of player affect transitions in survival horror games.
J. Multimodal User Interfaces, 2015

Cluster Analysis of Face Images and Literature Data by Evolutionary Distance Metric Learning.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

Item-Based Learning for Music Emotion Prediction Using EEG Data.
Proceedings of the Principles and Practice of Multi-Agent Systems, 2015

Modeling Work Stress Using Heart Rate and Stress Coping Profiles.
Proceedings of the Principles and Practice of Multi-Agent Systems, 2015

Cluster Sequence Mining: Causal Inference with Time and Space Proximity Under Uncertainty.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Concept Drift Detection with Clustering via Statistical Change Detection Methods.
Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

Error detection of oceanic observation data using sequential labeling.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Prediction as faster perception in a real-time fighting video game.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Evolutionary multi-objective distance metric learning for multi-label clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Investigation of Familiarity Effects in Music-Emotion Recognition Based on EEG.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

2014
Sidekick: A Tool for Helping Students Manage Behavior in Self-initiated Learning Scenarios.
IJDET, 2014

An Intelligent Fighting Videogame Opponent Adapting to Behavior Patterns of the User.
IEICE Transactions, 2014

Predicting Consumer Familiarity with Health Topics by Query Formulation and Search Result Interaction.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

An implementation of affective adaptation in survival horror games.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

2013
Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors.
Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013

Evolutionary Distance Metric Learning Approach to Semi-supervised Clustering with Neighbor Relations.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Identification of Effective Learning Behaviors.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012
Co-occurring Cluster Mining for Damage Patterns Analysis of a Fuel Cell.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Neighborhood-Based Smoothing of External Cluster Validity Measures.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011
Topographic Measure Based on External Criteria for Self-Organizing Map.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Exploring Melodic Motif to Support an Affect-Based Music Compositional Intelligence.
Proceedings of the Third International Conference on Knowledge and Systems Engineering, 2011

2010
Three-Subagent Adapting Architecture for Fighting Videogames.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Addressing the problems of data-centric physiology-affect relations modeling.
Proceedings of the 15th International Conference on Intelligent User Interfaces, 2010

Kullback-Leibler Divergence Based Kernel SOM for Visualization of Damage Process on Fuel Cells.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
Growth Analysis of Neighbor Network for Evaluation of Damage Progress.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008
Cluster-based predictive modeling to improve pedagogic reasoning.
Computers in Human Behavior, 2008

Pheromone Approach to the Adaptive Discovery of Sensor-Network Topology.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2008

Sequence-based SOM: Visualizing transition of dynamic clusters.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007
Reinforcement Learning on a Futures Market Simulator.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2007

Interpretable Likelihood for Vector Representable Topic.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

2006
Visualization Architecture Based on SOM for Two-Class Sequential Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

2005
Visualizing Dynamics of the Hot Topics Using Sequence-Based Self-organizing Maps.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Predicting High-level Student Responses Using Conceptual Clustering.
Proceedings of the Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences, 2005

A Cluster-based Predictive Modeling to Improve Pedagogic Reasoning.
Proceedings of the Cognition and Exploratory Learning in Digital Age, 2005


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