Keiki Takadama

319 papers A* 1A 16B 53C 15Journal 77Unranked 149

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. IEEE Trans. Evol. Comput. Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2026	—	`conf`	Meta Deep Reinforcement Learning Based on Supervised Learning of Correspondence between Model Parameters and Reward Functions as Externally Conditioned Queries. ICAART (5) Takumi Kuitani, Hiroyuki Sato, Keiki Takadama
2026	J	`jnl`	Saccade-Mimicking Grid Cell Network for Image Recognition. J. Adv. Comput. Intell. Intell. Informatics Yuichi Matsuda, Kazuma Niwa, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2025	—	`conf`	Action-Based Intrinsic Reward Design for Cooperative Behavior Acquisition in Multi-Agent Reinforcement Learning. ICAART (1) Iori Takeuchi, Keiki Takadama
2025	J	`jnl`	Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. CoRR Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	A	`conf`	Adaptive Multi-Population Dynamic Optimization for Multimodal Dynamic Function Optimization. GECCO Shoei Fujita, Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2025	—	`conf`	Challenges in Human-Compatible AI for Well-being: Harnessing Potential of GenAI for AI-Powered Science. AAAI Spring Symposia Takashi Kido, Keiki Takadama
2025	—	`conf`	Circadian Rhythm Estimation Based on Knowledge Distillation Without Daytime Heartrate Data. HCI (9) Shunnan Man, Keiki Takadama
2025	B	`conf`	Controlling an Exploration in Unbounded Search Space by Novelty-Based Multi-Objectivization. CEC Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2025	—	`conf`	Estimation of Complicated Pareto Front Geometry in Evolutionaly Multiobjective Optimization. ISMSI Kazuki Shiraishi, Keiki Takadama, Hiroyuki Sato
2025	—	`conf`	Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning. GECCO Companion Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	—	`conf`	Improving Apnea/Hypopnea Detection Based on Knowledge Distillation by Respiration Amplitude Normalization and its Phase Shift Adjustment. ISMICT Daiki Shintani, Keiki Takadama
2025	B	`conf`	Limitation of Adapting to Continuously Changing Optimization Problem and Its Solution in Swarm Optimization. CEC Shoei Fujita, Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2025	B	`conf`	Multi-objective optimization of flight schedules considering Constraint Tolerance based on Local Search and Archives. CEC Tomoki Ishizuka, Hiroyuki Sato, Keiki Takadama
2025	J	`jnl`	Multi-objective optimization of flight schedules to maximize constraint tolerance by local search and archive mechanisms. Artif. Life Robotics Tomoki Ishizuka, Akinori Murata, Hiroyuki Sato, Keiki Takadama
2025	B	`conf`	Multitask Knapsack Problems with Scalable Objective and Constraint Similarities: Behavioral Analysis of Evolutionary Multi-Factorial Algorithms. CEC Shio Kawakami, Keiki Takadama, Hiroyuki Sato
2025	J	`jnl`	Novelty-based multi-objectivization for unbounded search space optimization. Artif. Life Robotics Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2025	J	`jnl`	PPS-DMIA: Directed Mating With Infeasible Solution Archive in Push and Pull Search for Constrained Multi-Objective Optimization. IEEE Access Ryo Takamiya, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2025	—	`conf`	Partial Ensemble Estimation for Complex-Shaped Pareto Fronts. ISMSI Kosuke Kikawada, Naru Okumura, Keiki Takadama, Hiroyuki Sato
2025	—	`conf`	Towards Human-Compatible AI for Well-being by Integrating Physiological Viewpoint With Machine Learning Viewpoint. AAAI Spring Symposia Keiki Takadama, Daiki Shintani
2025	—	`conf`	What Kind of Information Is Needed? Multi-Agent Reinforcement Learning that Selectively Shares Information from Other Agents. ICAART (1) Riku Sakagami, Keiki Takadama
2024	A	`conf`	Approximating Pareto Local Optimal Solution Networks. GECCO Shoichiro Tanaka, Gabriela Ochoa, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato
2024	B	`conf`	Design of Generalized and Specialized Helper Objectives for Multi-objective Continuous Optimization Problems. CEC Keigo Mochizuki, Tomoki Ishizuka, Naoya Yatsu, Hiroyuki Sato, Keiki Takadama
2024	B	`conf`	Designing Helper Objectives in Multi-Objectivization. CEC Shoichiro Tanaka, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato
2024	J	`jnl`	Editorial: Cutting Edge of Reinforcement Learning and its Hybrid Methods. J. Adv. Comput. Intell. Intell. Informatics Kazuteru Miyazaki, Keiki Takadama
2024	B	`conf`	Evolutionary Constrained Multi-Factorial Optimization Based on Task Similarity. CEC Shio Kawakami, Keiki Takadama, Hiroyuki Sato
2024	J	`jnl`	Explainable Non-Contact Sleep Apnea Syndrome Detection Based on Comparison of Random Forests. IEEE Access Iko Nakari, Keiki Takadama
2024	B	`conf`	From Multipoint Search to Multiarea Search: Novelty-Based Multi-Objectivization for Unbounded Search Space Optimization. CEC Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2024	—	`conf`	Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. GECCO Companion Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2024	—	`conf`	Image Recognition Imitating Saccadic Eye Movement in Grid Cell Net. SCIS/ISIS Yuichi Matsuda, Kazuma Niwa, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2024	J	`jnl`	Inverse Reinforcement Learning with Agents' Biased Exploration Based on Sub-Optimal Sequential Action Data. J. Adv. Comput. Intell. Intell. Informatics Fumito Uwano, Satoshi Hasegawa, Keiki Takadama
2024	—	`conf`	Multi-Agent Archive-Based Inverse Reinforcement Learning by Improving Suboptimal Experts. ICAART (3) Shunsuke Ueki, Keiki Takadama
2024	B	`conf`	Multi-layer Cortical Learning Algorithm for Forecasting Time-series Data with Smoothly Changing Variation Patterns. IJCNN Kazushi Fujino, Keiki Takadama, Hiroyuki Sato
2024	—	`conf`	NREM3 Sleep Stage Estimation Based on Accelerometer by Body Movement Count and Biological Rhythms. AAAI Spring Symposia Daiki Shintani, Iko Nakari, Satomi Washizaki, Keiki Takadama
2024	J	`jnl`	Non-Contact Sleep Stage Estimation by Updating its Prediction Probabilities According to Ultradian Rhythm. J. Adv. Comput. Intell. Intell. Informatics Iko Nakari, Keiki Takadama
2024	B	`conf`	Pareto Front Estimation Model Optimization for Aggregative Solution Set Representation. CEC Naru Okumura, Keiki Takadama, Hiroyuki Sato
2024	B	`conf`	Prototype Generation with the sUpervised Classifier System on kNN Matching. CEC Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2024	B	`conf`	Push and Pull Search with Directed Mating for Constrained Multi-objective Optimization. CEC Ryo Takamiya, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2024	—	`conf`	REM Estimation Based on Accelerometer by Excluding Other Stages and Two-Scale Smoothing. EMBC Daiki Shintani, Iko Nakari, Satomi Washizaki, Keiki Takadama
2024	B	`conf`	Should Multi-objective Evolutionary Algorithms Use Always Best Non-dominated Solutions as Parents? CEC Kazuma Sato, Naru Okumura, Keiki Takadama, Hiroyuki Sato
2024	—	`conf`	Sleep Stage Estimation by Introduction of Sleep Domain Knowledge to AI: Towards Personalized Sleep Counseling System with GenAI. AAAI Spring Symposia Iko Nakari, Keiki Takadama
2024	—	`conf`	The Challenges for GenAI in Social and Individual Well-Being. AAAI Spring Symposia Takashi Kido, Keiki Takadama
2024	—	`conf`	What Is a Correct Output by Generative AI From the Viewpoint of Well-Being? - Perspective From Sleep Stage Estimation -. AAAI Spring Symposia Keiki Takadama
2023	J	`jnl`	AAAI 23 Spring Symposium Report on "Socially Responsible AI for Well-Bing". AI Mag. Takashi Kido, Keiki Takadama
2023	J	`jnl`	Adaptive action-prediction cortical learning algorithm under uncertain environments. Int. J. Hybrid Intell. Syst. Kazushi Fujino, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2023	—	`conf`	Alzheimer Dementia Detection Based on Time-series Instability of Heart Rate. EMBC Naoya Matsuda, Iko Nakari, Keiki Takadama, Kohta Katayama, Makoto Shiraishi, Yoshiyuki Ohira
2023	J	`jnl`	Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making. IEEE Access Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2023	A	`conf`	Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. GECCO Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2023	—	`conf`	How to Handle Wellbeing in Socially Responsible AI? - Findings from Sleep Perspective -. AAAI Spring Symposium: SRAI Keiki Takadama
2023	B	`conf`	Multi-objectivization Relaxes Multi-funnel Structures in Single-objective NK-landscapes. EvoCOP Shoichiro Tanaka, Keiki Takadama, Hiroyuki Sato
2023	C	`conf`	Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling. EMO Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2023	—	`conf`	Personalized Non-contact Sleep Stage Estimation with Weighted Probability Estimation by Ultradian Rhythm. EMBC Iko Nakari, Keiki Takadama
2023	—	`conf`	Personalized Sleep Stage Estimation Based on Time Series Probability of Estimation for Each Label with Wearable 3-Axis Accelerometer. HCI (5) Iko Nakari, Masahiro Nakashima, Keiki Takadama
2023	—	`ed.`	Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023) co-located with Association for the Advancement of Artificial Intelligence 2023 Spring Symposium (AAAI-Spring Symposium 2023), Hyatt Regency San Francisco Airport (Hybrid), March 27-29, 2023. AAAI Spring Symposium: SRAI Takashi Kido, Keiki Takadama
2023	—	`conf`	Reinforcement Learning in Cyclic Environmental Changes for Agents in Non-Communicative Environments: A Theoretical Approach. EXTRAAMAS Fumito Uwano, Keiki Takadama
2023	—	`conf`	Sleep Stage Estimation based on The Estimated Probability of each Sleep Stage by Learning with Specialized Models. AAAI Spring Symposium: SRAI Iko Nakari, Keiki Takadama
2023	—	`conf`	The Challenges for Socially Responsible AI for Well-being. AAAI Spring Symposium: SRAI Takashi Kido, Keiki Takadama
2023	—	`conf`	Thermal environment evaluation considering nap start time. AAAI Spring Symposium: SRAI Miki Nakai, Tomoyoshi Ashikaga, Junichi Shimizu, Keiki Takadama
2023	B	`conf`	Toward Unbounded Search Space Exploration by Particle Swarm Optimization in Multi-Modal Optimization Problem. CEC Ryuki Ishizawa, Tomoya Kuga, Yusuke Maekawa, Hiroyuki Sato, Keiki Takadama
2022	—	`conf`	A Thermal Environment that Promotes Efficient Napping. AAAI Spring Symposium: HFIF Miki Nakai, Tomoyoshi Ashikaga, Takahiro Ohga, Keiki Takadama
2022	A	`conf`	Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. GECCO Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama
2022	—	`conf`	Adaptive Synapse Adjustment for Multivariate Cortical Learning Algorithm. SCIS/ISIS Kazushi Fujino, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2022	—	`conf`	Analysis of Circadian Rhythm Estimation Process for Improving the Accuracy of Alzheimer Dementia Detection. AAAI Spring Symposium: HFIF Naoya Matsuda, Taiki Senju, Iko Nakari, Keiki Takadama
2022	B	`conf`	Beta Distribution based XCS Classifier System. CEC Hiroki Shiraishi, Yohei Havamizu, Hiroyuki Sato, Keiki Takadama
2022	A	`conf`	Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. GECCO Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama
2022	—	`conf`	Design of Human-Agent-Group Interaction for Correct Opinion Sharing on Social Media. HCI (4) Fumito Uwano, Daiki Yamane, Keiki Takadama
2022	—	`conf`	How to Cope with Bias in Well-being AI? AAAI Spring Symposium: HFIF Keiki Takadama
2022	B	`conf`	Impacts of Single-objective Landscapes on Multi-objective Optimization. CEC Shoichiro Tanaka, Keiki Takadama, Hiroyuki Sato
2022	B	`conf`	Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS. EvoApplications Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama
2022	—	`conf`	Non-Contact REM Sleep Estimation Correction by Time-Series Confidence of Predictions: From Binary to Continuous Prediction in Machine Learning for Biological Data. EMBC Iko Nakari, Naoya Matsuda, Keiki Takadama
2022	—	`ed.`	Proceedings of the Symposium How Fair is Fair? Achieving Wellbeing AI co-located with Association for the Advancement of Artificial Intelligence 2022 Spring Symposium (AAAI-Spring Symposium 2022), Stanford, CA, March 21-23, 2022. AAAI Spring Symposium: HFIF Takashi Kido, Keiki Takadama
2022	—	`conf`	REM Estimation Based on Combination of Multi-Timescale Estimations and Automatic Adjustment of Personal Bio-vibration Data of Mattress Sensor. AAAI Spring Symposium: HFIF Iko Nakari, Naoya Matsuda, Keiki Takadama
2022	B	`conf`	Supervised Multi-Objective Optimization Algorithm Using Estimation. CEC Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2022	—	`conf`	Synergistic Effect of Adaptive Synapse Arrangement and Column-based Decoder in Cortical Learning Algorithm. SCIS/ISIS Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2022	—	`conf`	The Challenges for Fairness and Well-being. AAAI Spring Symposium: HFIF Takashi Kido, Keiki Takadama
2022	—	`conf`	Unstable Circadian Rhythm of Heart Rate of Alzheimer Dementia Based on Biological Data of Mattress Sensor. EMBC Naoya Matsuda, Iko Nakari, Keiki Takadama
2022	B	`conf`	XCSR with VAE using Gaussian Distribution Matching: From Point to Area Matching in Latent Space for Less-overlapped Rule Generation in Observation Space. CEC Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2021	J	`jnl`	Adaptive Synapse Arrangement in Cortical Learning Algorithm. J. Adv. Comput. Intell. Intell. Informatics Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2021	—	`conf`	Alzheimer Dementia Detection Based on Unstable Circadian Rhythm Waves Extracted from Heartrate. EMBC Naoya Matsuda, Iko Nakari, Keiki Takadama
2021	—	`conf`	Alzheimer Dementia Detection based on Circadian Rhythm Disorder of Heartrate. LifeTech Naoya Matsuda, Iko Nakari, Ryotaro Arai, Hiroyuki Sato, Keiki Takadama, Masanori Hirose, Hiroshi Hasegawa, Makoto Shiraishi, Takahide Matsuda
2021	—	`conf`	Analyzing Early Stage of Forming a Consensus from Viewpoint of Majority/Minority Decision in Online-Barnga. HCI (5) Yoshimiki Maekawa, Tomohiro Yamaguchi, Keiki Takadama
2021	J	`jnl`	Directionality Reinforcement Learning to Operate Multi-Agent System without Communication. CoRR Fumito Uwano, Keiki Takadama
2021	—	`conf`	Double-Layered Cortical Learning Algorithm for Time-Series Prediction. BICT Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2021	B	`conf`	Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm Based on Decomposition. EvoApplications Sho Kajihara, Hiroyuki Sato, Keiki Takadama
2021	A*	`conf`	Guiding Robot Exploration in Reinforcement Learning via Automated Planning. ICAPS Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Keiki Takadama, Shiqi Zhang
2021	B	`conf`	Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. CEC Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama
2021	—	`conf`	Misclassification detection based on conditional VAE for rule evolution in learning classifier system. GECCO Companion Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama
2021	—	`conf`	Multi-factorial Evolutionary Algorithm Using Objective Similarity Based Parent Selection. BICT Shio Kawakami, Keiki Takadama, Hiroyuki Sato
2021	C	`conf`	Pareto Front Estimation Using Unit Hyperplane. EMO Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2021	—	`conf`	Sleep Apnea Syndrome Detection Based on Degree of Convexity of Logarithmic Spectrum Calculated from Overnight Bio-vibration Data of Mattress Sensor. EMBC Iko Nakari, Keiki Takadama
2021	B	`conf`	Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA. CEC Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2021	B	`conf`	XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional Data. CEC Masakazu Tadokoro, Hiroyuki Sato, Keiki Takadama
2020	J	`jnl`	Analysis of semi-asynchronous multi-objective evolutionary algorithm with different asynchronies. Soft Comput. Tomohiro Harada, Keiki Takadama
2020	—	`conf`	Column-based Decoder of Internal Prediction Representation in Cortical Learning Algorithms. SCIS/ISIS Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2020	—	`conf`	Cooperative Multi-agent Inverse Reinforcement Learning Based on Selfish Expert and its Behavior Archives. SSCI Yukiko Fukumoto, Masakazu Tadokoro, Keiki Takadama
2020	C	`conf`	Distance Minimization Problems for Multi-factorial Evolutionary Optimization Benchmarking. HIS Shio Kawakami, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2020	J	`jnl`	Guided Dyna-Q for Mobile Robot Exploration and Navigation. CoRR Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Shiqi Zhang, Keiki Takadama
2020	—	`conf`	How to Emote for Consensus Building in Virtual Communication. HCI (5) Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima, Keiki Takadama
2020	—	`conf`	Incremental lattice design of weight vector set. GECCO Companion Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2020	B	`conf`	Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS. CEC Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
2020	—	`conf`	Non-contact Sleep Apnea Syndrome Detection Based on What Random Forests Learned. LifeTech Iko Nakari, Eiki Kitajima, Yusuke Tajima, Keiki Takadama
2020	B	`conf`	Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms. CEC Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2020	—	`conf`	Preliminary study of adaptive grid-based decomposition on many-objective evolutionary optimization. GECCO Companion Kensuke Kano, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2020	J	`jnl`	Reward Value-Based Goal Selection for Agents' Cooperative Route Learning Without Communication in Reward and Goal Dynamism. SN Comput. Sci. Fumito Uwano, Keiki Takadama
2020	J	`jnl`	Self-Structured Cortical Learning Algorithm by Dynamically Adjusting Columns and Cells. J. Adv. Comput. Intell. Intell. Informatics Sotetsu Suzugamine, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2020	—	`conf`	Visual mapping of multi-objective optimization problems and evolutionary algorithms. GECCO Companion Kohei Yamamoto, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2019	—	`conf`	A Distribution Control of Weight Vector Set for Multi-objective Evolutionary Algorithms. BICT Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2019	—	`conf`	Application of Multi Agent System and Transition Matrix Analysis to Logistics System for Equal Distribution under Disaster Situation. SICE Takahiro Majima, Keiki Takadama, Daisuke Watanabe, Taro Aratani, Keiji Sato
2019	B	`conf`	Comparison of Statistical Table- and Non-Statistical Table-based XCS in Noisy Environments. CEC Takato Tatsumi, Keiki Takadama
2019	B	`conf`	Complex-Valued-based Learning Classifier System for POMDP Environments. CEC Keiki Takadama, Daichi Yamazaki, Masaya Nakata, Hiroyuki Sato
2019	C	`conf`	Evolving Generalized Solutions for Robust Multi-objective Optimization: Transportation Analysis in Disaster. EMO Keiki Takadama, Keiji Sato, Hiroyuki Sato
2019	—	`conf`	How to Design Adaptable Agents to Obtain a Consensus with Omoiyari. HCI (4) Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima, Keiki Takadama
2019	B	`conf`	Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models. CEC Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
2019	—	`conf`	Model-Based Multi-objective Reinforcement Learning with Unknown Weights. HCI (5) Tomohiro Yamaguchi, Shota Nagahama, Yoshihiro Ichikawa, Keiki Takadama
2019	B	`conf`	Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions. CEC Takuya Iwase, Ryo Takano, Fumito Uwano, Hiroyuki Sato, Keiki Takadama
2019	—	`ed.`	Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring Symposium 2019), Stanford, CA, March 25-27, 2019. AAAI Spring Symposium: Interpretable AI for Well-being Takashi Kido, Keiki Takadama
2019	J	`jnl`	Reports of the AAAI 2019 Spring Symposium Series. AI Mag. Ioana Baldini, Clark W. Barrett, Antonio Chella, Carlos Cinelli, David Gamez, Leilani H. Gilpin, Knut Hinkelmann, Dylan Holmes, Takashi Kido, Murat Kocaoglu, William F. Lawless, Alessio Lomuscio, Jamie C. Macbeth, Andreas Martin, Ranjeev Mittu, Evan Patterson, Donald Sofge, Prasad Tadepalli, Keiki Takadama, Shomir Wilson
2019	C	`conf`	Simultaneous Local Adaptation for Different Local Properties. IES Ryota Kobayashi, Ryo Takano, Hiroyuki Sato, Keiki Takadama
2019	—	`conf`	Sleep Apnea Syndrome Detection based on Biological Vibration Data from Mattress Sensor. SSCI Iko Nakari, Akinori Murata, Eiki Kitajima, Hiroyuki Sato, Keiki Takadama
2019	—	`conf`	Sleep Stage Estimation Through Mattress Sensor. AAAI Spring Symposium: Interpretable AI for Well-being Ryo Takano, Akari Tobaru, Iko Nakari, Keiki Takadama
2019	—	`conf`	Sleep Stage Estimation using Heart Rate Variability divided by Sleep Cycle with Relative Evaluation. AAAI Spring Symposium: Interpretable AI for Well-being Akari Tobaru, Yusuke Tajima, Keiki Takadama
2019	—	`conf`	The Challenges for Interpretable AI for Well-being. AAAI Spring Symposium: Interpretable AI for Well-being Takashi Kido, Keiki Takadama
2019	—	`conf`	Toward Good Circadian Rhythm through an valuate of Stress Condition. AAAI Spring Symposium: Interpretable AI for Well-being Ryo Takano, Sho Kajihara, Satoshi Hasegawa, Eiki Kitajima, Keiki Takadama, Toru Shimuta, Toru Yabe, Hideo Matsumoto
2019	—	`conf`	WAKE Detection During Sleep using Random Forest for Apnea Syndrome Patients. AAAI Spring Symposium: Interpretable AI for Well-being Iko Nakari, Yusuke Tajima, Akari Tobaru, Keiki Takadama
2019	—	`conf`	What Makes It Difficult To Apply AI Into Well-being and Its Solution: An Example of Sleep Apnea Syndrome. AAAI Spring Symposium: Interpretable AI for Well-being Keiki Takadama
2019	—	`conf`	XCS-CR for handling input, output, and reward noise. GECCO (Companion) Takato Tatsumi, Keiki Takadama
2018	—	`conf`	A Study on a Cortical Learning Algorithm Dynamically Adjusting Columns and Cells. SCIS&ISIS Sotetsu Suzugamine, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2018	—	`conf`	Artificial bee colony algorithm based on adaptive local information sharing: approach for several dynamic changes. GECCO (Companion) Ryo Takano, Hiroyuki Sato, Keiki Takadama
2018	—	`conf`	Can Machine Learning Correct Commonly Accepted Knowledge and Provide Understandable Knowledge in Care Support Domain? Tackling Cognitive Bias and Humanity from Machine Learning Perspective. AAAI Spring Symposia Keiki Takadama
2018	—	`conf`	Classifier generalization for comprehensive classifiers subsumption in XCS. GECCO (Companion) Caili Zhang, Takato Tatsumi, Hiyoyuki Sato, Tim Kovacs, Keiki Takadama
2018	—	`conf`	Correcting Wrongly Determined Opinions of Agents in Opinion Sharing Model. HCI (4) Eiki Kitajima, Caili Zhang, Haruyuki Ishii, Fumito Uwano, Keiki Takadama
2018	—	`conf`	Ensemble Heart Rate Extraction Method for Biological Data from Water Pressure Sensor. AAAI Spring Symposia Fumito Uwano, Keiki Takadama
2018	—	`conf`	Generalizing rules by random forest-based learning classifier systems for high-dimensional data mining. GECCO (Companion) Fumito Uwano, Koji Dobashi, Keiki Takadama, Tim Kovacs
2018	—	`conf`	Generating Learning Environments Derived from Found Solutions by Adding Sub-goals Toward the Creative Learning Support. HCI (5) Takato Okudo, Tomohiro Yamaguchi, Keiki Takadama
2018	—	`conf`	Improving Sleep Stage Estimation Accuracy by Circadian Rhythm Extracted from a Low Frequency Component of Heart Rate. AAAI Spring Symposia Akari Tobaru, Fumito Uwano, Takuya Iwase, Kazuma Matsumoto, Ryo Takano, Yusuke Tajima, Yuta Umenai, Keiki Takadama
2018	—	`conf`	Multiple swarm intelligence methods based on multiple population with sharing best solution for drastic environmental change. GECCO (Companion) Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama
2018	—	`ed.`	Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, Kyoto, Japan, July 15-19, 2018 GECCO (Companion) Hernán E. Aguirre, Keiki Takadama
2018	A	`ed.`	Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018 GECCO Hernán E. Aguirre, Keiki Takadama
2018	J	`jnl`	Reports on the 2018 AAAI Spring Symposium Series. AI Mag. Christopher Amato, Haitham Bou-Ammar, Elizabeth F. Churchill, Erez Karpas, Takashi Kido, Mike Kuniavsky, William F. Lawless, Francesca Rossi, Frans A. Oliehoek, Stephen Russell, Keiki Takadama, Siddharth Srivastava, Karl Tuyls, Philip van Allen, K. Brent Venable, Peter Vrancx, Shiqi Zhang
2018	—	`conf`	Sleep Stage Re-Estimation Method According To Sleep Cycle Change. AAAI Spring Symposia Yusuke Tajima, Akinori Murata, Tomohiro Harada, Keiki Takadama
2018	B	`conf`	Strategy for Learning Cooperative Behavior with Local Information for Multi-agent Systems. PRIMA Fumito Uwano, Keiki Takadama
2018	—	`conf`	Study of Analytical Methods on the Relationship between Sleep Quality and Stress with a focus on Human Circadian Rhythm. AAAI Spring Symposia Ryo Takano, Satoshi Hasegawa, Yuta Umenai, Takato Tatsumi, Keiki Takadama, Toru Shimuta, Toru Yabe, Hideo Matsumoto
2018	—	`conf`	The Challenges for Understanding Cognitive Bias and Humanity for Well-Being AI - Beyond Machine Intelligence. AAAI Spring Symposia Takashi Kido, Keiki Takadama
2018	J	`jnl`	Transportation simulator for disaster circumstance and bottleneck analysis. Artif. Life Robotics Takahiro Majima, Keiki Takadama, Daisuke Watanabe, Taro Aratani, Keiji Sato
2018	—	`conf`	XCS for Missing Attributes in Data. SCIS&ISIS Takato Tatsumi, Keiki Takadama
2018	—	`conf`	XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise. GECCO (Companion) Takato Tatsumi, Tim Kovacs, Keiki Takadama
2018	—	`conf`	XCSR based on compressed input by deep neural network for high dimensional data. GECCO (Companion) Kazuma Matsumoto, Ryo Takano, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2017	—	`conf`	A study of self-adaptive semi-asynchronous evolutionary algorithm on multi-objective optimization problem. GECCO (Companion) Tomohiro Harada, Keiki Takadama
2017	—	`conf`	An improved MOEA/D utilizing variation angles for multi-objective optimization. GECCO (Companion) Hiroyuki Sato, Minami Miyakawa, Keiki Takadama
2017	B	`conf`	Applying variance-based Learning Classifier System without Convergence of Reward Estimation into various Reward distribution. CEC Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2017	J	`jnl`	Approach to Clustering with Variance-Based XCS. J. Adv. Comput. Intell. Intell. Informatics Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama
2017	A	`conf`	Automatic adjustment of selection pressure based on range of reward in learning classifier system. GECCO Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
2017	J	`jnl`	Comparison Between Reinforcement Learning Methods with Different Goal Selections in Multi-Agent Cooperation. J. Adv. Comput. Intell. Intell. Informatics Fumito Uwano, Keiki Takadama
2017	—	`conf`	Designing the Learning Goal Space for Human Toward Acquiring a Creative Learning Skill. HCI (4) Takato Okudo, Keiki Takadama, Tomohiro Yamaguchi
2017	J	`jnl`	Editorial: Cutting Edge of Reinforcement Learning and its Hybrid Methods. J. Adv. Comput. Intell. Intell. Informatics Keiki Takadama, Kazuteru Miyazaki
2017	J	`jnl`	Exemplar-Based Learning Classifier System with Dynamic Matching Range for Imbalanced Data. J. Adv. Comput. Intell. Intell. Informatics Hiroyasu Matsushima, Keiki Takadama
2017	—	`conf`	Improving Accuracy of Real-Time Sleep Stage Estimation by Considering Personal Sleep Feature and Rapid Change of Sleep Behavior. AAAI Spring Symposia Tomohiro Harada, Takahiro Kawashima, Morito Morishima, Keiki Takadama
2017	J	`jnl`	Learning Classifier System Based on Mean of Reward. J. Adv. Comput. Intell. Intell. Informatics Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
2017	J	`jnl`	Machine-Code Program Evolution by Genetic Programming Using Asynchronous Reference-Based Evaluation Through Single-Event Upset in On-Board Computer. J. Robotics Mechatronics Tomohiro Harada, Keiki Takadama
2017	—	`conf`	Multi-objetive optimization problem mapping based on algorithmic parameter rankings. SSCI Motoaki Kakuguchi, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2017	B	`conf`	Performance comparison of parallel asynchronous multi-objective evolutionary algorithm with different asynchrony. CEC Tomohiro Harada, Keiki Takadama
2017	J	`jnl`	Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration. J. Robotics Mechatronics Fumito Uwano, Yusuke Tajima, Akinori Murata, Keiki Takadama
2017	J	`jnl`	Reports on the 2017 AAAI Spring Symposium Series. AI Mag. Jeannette Bohg, Xavier Boix, Nancy Chang, Elizabeth F. Churchill, Vivian Chu, Fei Fang, Jerome Feldman, Avelino J. Gonzalez, Takashi Kido, William F. Lawless, José L. Montaña, Santiago Ontañón, Jivko Sinapov, Donald A. Sofge, Luc Steels, Molly Wright Steenson, Keiki Takadama, Amulya Yadav
2017	—	`conf`	Sleep Stage Estimation Based on Appriximate Heartrate Calculated from Other Persons. AAAI Spring Symposia Yusuke Tajima, Tomohiro Harada, Keiki Takadama
2017	—	`conf`	Strategies to Improve Cuckoo Search Toward Adapting Randomly Changing Environment. ICSI (1) Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama
2017	J	`jnl`	Supporting the Exploration of the Learning Goals for a Continuous Learner Toward Creative Learning. J. Adv. Comput. Intell. Intell. Informatics Takato Okudo, Tomohiro Yamaguchi, Akinori Murata, Takato Tatsumi, Fumito Uwano, Keiki Takadama
2017	A	`conf`	Theoretical XCS parameter settings of learning accurate classifiers. GECCO Masaya Nakata, Will N. Browne, Tomoki Hamagami, Keiki Takadama
2017	—	`conf`	Towards Adaptive Aircraft Landing Order with Aircraft Routes Partially Fixed by Air Traffic Controllers as Human Intervention. HCI (4) Akinori Murata, Hiroyuki Sato, Keiki Takadama
2017	—	`conf`	Towards Guideline for Applying Machine Learning into Care Support Systems. AAAI Spring Symposia Keiki Takadama
2017	—	`conf`	Visual Impression Generation System Based on Boids Algorithm. AAAI Spring Symposia Masafumi Ishii, Jinhwan Kwon, Keiki Takadama, Maki Sakamoto
2017	—	`conf`	Wellbeing AI Invited Speaker Abstracts. AAAI Spring Symposia Takashi Kido, Keiki Takadama
2017	J	`jnl`	XCSR Learning from Compressed Data Acquired by Deep Neural Network. J. Adv. Comput. Intell. Intell. Informatics Kazuma Matsumoto, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	B	`conf`	A modified cuckoo search algorithm for dynamic optimization problems. CEC Yuta Umenai, Fumito Uwano, Yusuke Tajima, Masaya Nakata, Hiroyuki Sato, Keiki Takadama
2016	J	`jnl`	Awareness Based Recommendation: Passively Interactive Learning System. Int. J. Robotics Appl. Technol. Tomohiro Yamaguchi, Takuma Nishimura, Keiki Takadama
2016	J	`jnl`	Characteristic and application of network evolution model for public transport network. Multiagent Grid Syst. Takahiro Majima, Keiki Takadama, Daisuke Watanabe, Mitujiro Katuhara
2016	J	`jnl`	Controlling selection areas of useful infeasible solutions for directed mating in evolutionary constrained multi-objective optimization. Ann. Math. Artif. Intell. Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2016	J	`jnl`	Deployment of wireless mesh network using RSSI-based swarm robots. Artif. Life Robotics Kiyohiko Hattori, Naoki Tatebe, Toshinori Kagawa, Yasunori Owada, Lin Shan, Katsuhiro Temma, Kiyoshi Hamaguchi, Keiki Takadama
2016	—	`conf`	Effects on Sleep by "Cradle Sound" Adjusted to Heartbeat and Respiration. AAAI Spring Symposia Morito Morishima, Yusuke Sugino, Yuki Ueya, Hiroshi Kadotani, Keiki Takadama
2016	B	`conf`	Enhanced decomposition-based many-objective optimization using supplemental weight vectors. CEC Hiroyuki Sato, Satoshi Nakagawa, Minami Miyakawa, Keiki Takadama
2016	—	`conf`	Evolutionary Algorithmic Parameter Optimization of MOEAs for Multiple Multi-objective Problems. SCIS&ISIS Motoaki Kakuguchi, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2016	—	`conf`	Extracting Different Abstracted Level Rule with Variance-Based LCS. SCIS&ISIS Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama, Hiroyuki Sato, Tim Kovacs
2016	B	`conf`	Learning classifier system with deep autoencoder. CEC Kazuma Matsumoto, Yusuke Tajima, Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	J	`jnl`	Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. EAI Endorsed Trans. Self Adapt. Syst. Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	—	`conf`	Personalized Real-Time Sleep Stage from Past Sleep Data to Today's Sleep Estimation. HCI (5) Yusuke Tajima, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama
2016	—	`conf`	Preventing Incorrect Opinion Sharing with Weighted Relationship Among Agents. HCI (5) Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Takahiro Majima, Keiki Takadama, Daisuke Watanabe, Mitujiro Katuhara
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Akinori Murata, Hiroyuki Sato, Keiki Takadama
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Fumito Uwano, Keiki Takadama
2016	—	`conf`	Real-Time Sleep Stage Estimation from Biological Data with Trigonometric Function Regression Model. AAAI Spring Symposia Tomohiro Harada, Fumito Uwano, Takahiro Komine, Yusuke Tajima, Takahiro Kawashima, Morito Morishima, Keiki Takadama
2016	J	`jnl`	Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. EAI Endorsed Trans. Collab. Comput. Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
2016	J	`jnl`	Reports of the AAAI 2016 Spring Symposium Series. AI Mag. Christopher Amato, Ofra Amir, Joanna Bryson, Barbara J. Grosz, Bipin Indurkhya, Emre Kiciman, Takashi Kido, William F. Lawless, Miao Liu, Braden McDorman, Ross Mead, Frans A. Oliehoek, Andrew Specian, Georgi Stojanov, Keiki Takadama
2016	—	`conf`	Toward the Next-Generation Sleep Monitoring / Evaluation by Human Body Vibration Analysis. AAAI Spring Symposia Takahiro Komine, Keiki Takadama, Seiji Nishino
2016	—	`conf`	Variance-based Learning Classifier System without Convergence of Reward Estimation. GECCO (Companion) Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	—	`conf`	Well-Being Computing Towards Health and Happiness Improvement: From Sleep Perspective. AAAI Spring Symposia Keiki Takadama
2016	B	`conf`	XCS-DH: Minimal default hierarchies in XCS. CEC Tim Kovacs, Simon Rawles, Larry Bull, Masaya Nakata, Keiki Takadama
2015	—	`conf`	A Potential of Evolutionary Rule-based Machine Learning for Real World Applications. GECCO (Companion) Keiki Takadama
2015	C	`conf`	Analyzing human's continuous learning ability with the reflection cost. IECON Tomohiro Yamaguchi, Yuki Tamai, Keiki Takadama
2015	—	`conf`	Analyzing human's continuous learning processes with the reflection sub task. ASCC Tomohiro Yamaguchi, Kouki Takemori, Yuki Tamai, Keiki Takadama
2015	—	`conf`	Control of Crossed Genes Ratio for Directed Mating in Evolutionary Constrained Multi-Objective Optimization. GECCO (Companion) Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2015	—	`conf`	Detecting Aged Person's Sliding Feet from Time Series Data of Foot Pressure. AAAI Spring Symposia Takahiro Komine, Keiki Takadama
2015	B	`conf`	Detecting shoplifting from customer behavior data by extended XCS-SL: Towards feature extraction on class-imbalanced sequence data. CEC Minato Sato, Kotaro Usui, Masaya Nakata, Keiki Takadama
2015	B	`conf`	Directed mating using inverted PBI function for constrained multi-objective optimization. CEC Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2015	—	`conf`	Estimating surrounding symptom level of dementia patient by sleep stage. ISMICT Shingo Tomura, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama, Makoto Aoki
2015	J	`jnl`	Evolutionary Algorithm for Uncertain Evaluation Function. New Math. Nat. Comput. Yusuke Tajima, Masaya Nakata, Hiroyasu Matsushima, Yoshihiro Ichikawa, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama
2015	B	`conf`	Extracting both generalized and specialized knowledge by XCS using Attribute Tracking and Feedback. CEC Keiki Takadama, Masaya Nakata
2015	B	`conf`	Handling different level of unstable reward environment through an estimation of reward distribution in XCS. CEC Takato Tatsumi, Takahiro Komine, Hiroyuki Sato, Keiki Takadama
2015	B	`conf`	How should Learning Classifier Systems cover a state-action space? CEC Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama
2015	J	`jnl`	Multi-objective Optimization for Common and Special Components: First Step Toward Network Optimization of Regular and Non-Regular Flights. New Math. Nat. Comput. Takahiro Jinba, Hiroto Kitagawa, Eriko Azuma, Keiji Sato, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama
2015	—	`conf`	Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. BICT Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2015	—	`conf`	Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. BICT Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
2015	J	`jnl`	Reports on the 2015 AAAI Spring Symposium Series. AI Mag. Nitin Agarwal, Sean Andrist, Dan Bohus, Fei Fang, Laurie Fenstermacher, Lalana Kagal, Takashi Kido, Christopher Kiekintveld, William F. Lawless, Huan Liu, Andrew McCallum, Hemant Purohit, Oshani Seneviratne, Keiki Takadama, Gavin Taylor
2015	J	`jnl`	Rule reduction by selection strategy in XCS with adaptive action map. Evol. Intell. Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
2015	B	`conf`	Ship route evolutionary optimization of multiple ship companies for distributed coordination of resources. CEC Keiki Takadama, Hiroyuki Sato, Daisuke Watanabe, Eriko Azuma, Takahiro Majima, Mitujiro Katuhara
2015	—	`conf`	Sightseeing plan recommendation system using sequential pattern mining based on adjacent activities. ASCC Takuma Fujitsuka, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama, Tomohiro Yamaguchi
2015	B	`conf`	Toward robustness against environmental change speed by artificial bee colony algorithm based on local information sharing. CEC Ryo Takano, Hiroyuki Sato, Tomohiro Harada, Keiki Takadama
2015	—	`conf`	Towards Ambient Intelligence System for Good Sleep By Sound Adjusted to Heartbeat and Respiration. AAAI Spring Symposia Keiki Takadama, Yusuke Tajima, Tomohiro Harada, Atsushi Ishihara, Morito Morishima
2015	J	`jnl`	XCS-SL: a rule-based genetic learning system for sequence labeling. Evol. Intell. Masaya Nakata, Tim Kovacs, Keiki Takadama
2014	A	`conf`	A modified XCS classifier system for sequence labeling. GECCO Masaya Nakata, Tim Kovacs, Keiki Takadama
2014	—	`conf`	Application of Community Detection Method to Generating Public Transport Network. BICT Takahiro Majima, Keiki Takadama, Daisuke Watanabe, Mitujiro Katuhara
2014	J	`jnl`	Archive of Useful Solutions for Directed Mating in Evolutionary Constrained Multiobjective Optimization. J. Adv. Comput. Intell. Intell. Informatics Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2014	—	`conf`	Archives-holding XCS Classifier System: A preliminary study. NaBIC Takahiro Komine, Masaya Nakata, Keiki Takadama
2014	B	`conf`	Asynchronous Evolution by Reference-Based Evaluation: Tertiary Parent Selection and Its Archive. EuroGP Tomohiro Harada, Keiki Takadama
2014	A	`conf`	Asynchronously evolving solutions with excessively different evaluation time by reference-based evaluation. GECCO Tomohiro Harada, Keiki Takadama
2014	A	`conf`	Complete action map or best action map in accuracy-based reinforcement learning classifier systems. GECCO Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama
2014	—	`conf`	Concierge-Based Care Support System for Designing Your Own Lifestyle. AAAI Spring Symposia Keiki Takadama
2014	—	`conf`	Controlling Selection Area of Useful Infeasible Solutions in Directed Mating for Evolutionary Constrained Multiobjective Optimization. LION Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2014	A	`conf`	Controlling selection area of useful infeasible solutions and their archive for directed mating in evolutionary constrained multiobjective optimization. GECCO Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2014	—	`conf`	Favor Information Presentation and Its Effect for Collective-Adaptive Situation. HCI (13) Asami Mori, Tomohiro Harada, Yoshihiro Ichikawa, Keiki Takadama
2014	A	`conf`	Messy Coding in the XCS Classifier System for Sequence Labeling. PPSN Masaya Nakata, Tim Kovacs, Keiki Takadama
2014	B	`conf`	Multiagent-based ABC algorithm for Autonomous Rescue Agent Cooperation. SMC Rya Takano, D. Yamazaki, Yoshihiro Ichikawa, Kiyohiko Hattori, Keiki Takadama
2014	J	`jnl`	Multiagent-based Sustainable Bus Route Optimization in Disaster. J. Inf. Process. Hiroto Kitagawa, Keiji Sato, Keiki Takadama
2014	—	`conf`	Personalized real-time sleep stage remote monitoring system. ISMICT Yusuke Tajima, Masaya Nakata, Keiki Takadama
2014	J	`jnl`	Reports of the 2014 AAAI Spring Symposium Series. AI Mag. Manish Jain, Albert Xin Jiang, Takashi Kido, Keiki Takadama, Eric G. Mercer, Neha Rungta, Mark Waser, Alan Wagner, Jennifer L. Burke, Donald A. Sofge, William F. Lawless, Mohan Sridharan, Nick Hawes, Tim Hwang
2014	—	`conf`	Reusable knowledge by linkage-classifier in Accuracy-based Learning Classifier System. NaBIC Kotaro Usui, Masaya Nakata, Keiki Takadama
2014	—	`conf`	Sleep Stage Estimation Using Synthesized Data of Heart Rate and Body Movement. AAAI Spring Symposia Yusuke Tajima, Masaya Nakata, Tomohiro Harada, Keiji Sato, Keiki Takadama
2014	—	`conf`	Visualizing Mental Learning Processes with Invisible Mazes for Continuous Learning. HCI (13) Tomohiro Yamaguchi, Kouki Takemori, Keiki Takadama
2014	—	`conf`	What is Needed to Promote an Asynchronous Program Evolution in Genetic Programing? LION Keiki Takadama, Tomohiro Harada, Hiroyuki Sato, Kiyohiko Hattori
2013	J	`jnl`	Analysis of emission right prices in greenhouse gas emission trading via agent-based model. Multiagent Grid Syst. Tomohiro Nakada, Keiki Takadama, Shigeyoshi Watanabe
2013	—	`conf`	Analysis on the number of XCS agents in agent-based computational finance. CIFEr Tomohiro Nakada, Keiki Takadama
2013	—	`conf`	Analyzing Program Evolution in Genetic Programming using Asynchronous Evaluation. ECAL Tomohiro Harada, Keiki Takadama
2013	B	`conf`	Asynchronous Evaluation Based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and Its Analysis. EuroGP Tomohiro Harada, Keiki Takadama
2013	J	`jnl`	Designing Internal Reward of Reinforcement Learning Agents in Multi-Step Dilemma Problem. J. Adv. Comput. Intell. Intell. Informatics Yoshihiro Ichikawa, Keiki Takadama
2013	—	`conf`	Modeling a Human's Learning Processes to Support Continuous Learning on Human Computer Interaction. HCI (13) Kouki Takemori, Tomohiro Yamaguchi, Kazuki Sasaji, Keiki Takadama
2013	—	`conf`	Preface. AAAI Spring Symposium: Data Driven Wellness Takashi Kido, Keiki Takadama
2013	J	`jnl`	Reports of the 2013 AAAI Spring Symposium Series. AI Mag. Vita Markman, Georgi Stojanov, Bipin Indurkhya, Takashi Kido, Keiki Takadama, George Dimitri Konidaris, Eric Eaton, Naohiro Matsumura, Renate Fruchter, Donald A. Sofge, William F. Lawless, Omid Madani, Rahul Sukthankar
2013	A	`conf`	Selection strategy for XCS with adaptive action mapping. GECCO Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
2013	B	`conf`	Simple compact genetic algorithm for XCS. IEEE Congress on Evolutionary Computation Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
2013	—	`conf`	Towards Understanding of Relationship among Pareto Optimal Solutions in Multi-dimensional Space via Interactive System. HCI (15) Keiki Takadama, Yuya Sawadaishi, Tomohiro Harada, Yoshihiro Ichikawa, Keiji Sato, Kiyohiko Hattori, Hiroyuki Sato, Tomohiro Yamaguchi
2013	—	`conf`	Towards a Care Support System that Can Guess The Way Aged Persons Feel. AAAI Spring Symposium: Data Driven Wellness Keiki Takadama
2013	A	`conf`	Two-stage non-dominated sorting and directed mating for solving problems with multi-objectives and constraints. GECCO Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2012	—	`conf`	Age-Based Sleep Stage Estimation by Evolutionary Algorithm. AAAI Spring Symposium: Self-Tracking and Collective Intelligence for Personal Wellness Hiroyasu Matsushima, Shogo Minami, Keiki Takadama
2012	—	`conf`	Enhancing Learning Capabilities by XCS with Best Action Mapping. PPSN (1) Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
2012	—	`conf`	Evolving conditional branch programs in Tierra-based Asynchronous Genetic Programming. SCIS&ISIS Tomohiro Harada, Yoshihiro Ichikawa, Keiki Takadama
2012	—	`conf`	Exploring Individual Care Plan for a Good Sleep. AAAI Spring Symposium: Self-Tracking and Collective Intelligence for Personal Wellness Keiki Takadama
2012	—	`conf`	Invited Speaker and Special Presentation Abstracts. AAAI Spring Symposium: Self-Tracking and Collective Intelligence for Personal Wellness Takashi Kido, Keiki Takadama
2012	—	`conf`	Preface. AAAI Spring Symposium: Self-Tracking and Collective Intelligence for Personal Wellness Takashi Kido, Keiki Takadama
2012	J	`jnl`	Reports of the AAAI 2012 Spring Symposia. AI Mag. Harith Alani, Bo An, Manish Jain, Takashi Kido, George Dimitri Konidaris, William F. Lawless, David L. Martin, Caroline Pantofaru, Donald A. Sofge, Keiki Takadama, Milind Tambe, Tomas Vitvar
2012	—	`conf`	XCS with Adaptive Action Mapping. SEAL Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
2011	—	`conf`	Adaptive mutation depending on program size in asynchronous program evolution. NaBIC Tomohiro Harada, Keiki Takadama
2011	J	`jnl`	Improving Recovery Capability of Multiple Robots in Different Scale Structure Assembly. J. Adv. Comput. Intell. Intell. Informatics Masayuki Otani, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama
2011	J	`jnl`	Pittsburgh-style learning classifier system for multiple environments: towards robust waterbus route for several situations. Int. J. Bio Inspired Comput. Keiji Sato, Keiki Takadama
2011	J	`jnl`	Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer. J. Adv. Comput. Intell. Intell. Informatics Tomohiro Harada, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama
2011	J	`jnl`	Social and Group Simulation Based on Real Data Analysis. J. Adv. Comput. Intell. Intell. Informatics Kiyoshi Izumi, Keiki Takadama, Hiromitsu Hattori, Nariaki Nishino, Itsuki Noda
2011	—	`conf`	The Biased Multi-objective Optimization Using the Reference Point: Toward the Industrial Logistics Network. ICMLA (2) Eriko Azuma, Tomohiro Shimada, Keiki Takadama, Hiroyuki Sato, Kiyohiko Hattori
2011	—	`conf`	Towards generalization by identification-based XCS in multi-steps problem. NaBIC Masaya Nakata, Fumiaki Sato, Keiki Takadama
2011	—	`conf`	What Kinds of Human Negotiation Skill Can Be Acquired by Changing Negotiation Order of Bargaining Agents? HCI (12) Keiki Takadama, Atsushi Otaki, Keiji Sato, Hiroyasu Matsushima, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato
2010	B	`conf`	Dynamic matching range in Exemplar-based Learning Classifier System. IEEE Congress on Evolutionary Computation Hiroyasu Matsushima, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama
2010	—	`conf`	Evolutionary optimization for hub and spoke network based on demand and operation. NaBIC Saori Iseya, Keiki Takadama
2010	—	`conf`	Hybrid Directional-Biased Evolutionary Algorithm for Multi-Objective Optimization. PPSN (2) Tomohiro Shimada, Masayuki Otani, Hiroyasu Matsushima, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama
2010	J	`jnl`	Learning Multiple Band-Pass Filters for Sleep Stage Estimation: Towards Care Support for Aged Persons. IEICE Trans. Commun. Keiki Takadama, Kazuyuki Hirose, Hiroyasu Matsushima, Kiyohiko Hattori, Nobuo Nakajima
2010	—	`ed.`	Simulating Interacting Agents and Social Phenomena, The Second World Congress [Post-Conference Proceedings of the World Congress on Social Simulation, WCSS 2008, George Mason University, Fairfax, VA, USA, 14-17 July 2008] WCSS Keiki Takadama, Claudio Cioffi-Revilla, Guillaume Deffuant
2010	J	`jnl`	Toward Strategic Human Skill Development Through Human and Agent Interaction: Improving Negotiation Skill by Interacting with Bargaining Agent. J. Adv. Comput. Intell. Intell. Informatics Atsushi Otaki, Kiyohiko Hattori, Keiki Takadama
2009	J	`jnl`	Analyzing Strength-Based Classifier System from Reinforcement Learning Perspective. J. Adv. Comput. Intell. Intell. Informatics Atsushi Wada, Keiki Takadama
2009	J	`jnl`	Exemplar Generalization in Reinforcement Learning: Improving Performance with Fewer Exemplars. J. Adv. Comput. Intell. Intell. Informatics Hiroyasu Matsushima, Kiyohiko Hattori, Keiki Takadama
2009	—	`conf`	From My Agent to Our Agent: Exploring Collective Adaptive Agent via Barnga. Australasian Conference on Artificial Intelligence Yuya Ushida, Kiyohiko Hattori, Keiki Takadama
2009	J	`jnl`	Is Gradient Descent Update Consistent with Accuracy-Based Learning Classifier System?. J. Adv. Comput. Intell. Intell. Informatics Atsushi Wada, Keiki Takadama
2009	J	`jnl`	Time Horizon Generalization in Reinforcement Learning: Generalizing Multiple Q-Tables in Q-Learning Agents. J. Adv. Comput. Intell. Intell. Informatics Yasuyo Hatcho, Kiyohiko Hattori, Keiki Takadama
2008	—	`ed.`	Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers IWLCS Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama
2008	J	`jnl`	Maintaining Multiple Populations with Different Diversities for Evolutionary Optimization Based on Probability Models. Inf. Media Technol. Takayuki Higo, Keiki Takadama
2008	J	`jnl`	Micro- and Macro-Level Validation in Agent-Based Simulation: Reproduction of Human-Like Behaviors and Thinking in a Sequential Bargaining Game. J. Artif. Soc. Soc. Simul. Keiki Takadama, Tetsuro Kawai, Yuhsuke Koyama
2008	J	`jnl`	Progress in Model-To-Model Analysis. J. Artif. Soc. Soc. Simul. Juliette Rouchier, Claudio Cioffi-Revilla, Gary Polhill, Keiki Takadama
2007	—	`ch.`	Analysis on Transport Networks of Railway, Subway and Waterbus in Japan. Emergent Intelligence of Networked Agents Takahiro Majima, Mitujiro Katuhara, Keiki Takadama
2007	C	`conf`	Exploring Quantitative Evaluation Criteria for Service and Potentials of New Service in Transportation: Analyzing Transport Networks of Railway, Subway, and Waterbus. IDEAL Keiki Takadama, Takahiro Majima, Daisuke Watanabe, Mitsujiro Katsuhara
2007	B	`conf`	Hierarchical importance sampling instead of annealing. IEEE Congress on Evolutionary Computation Takayuki Higo, Keiki Takadama
2007	—	`ed.`	Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected Papers IWLCS Tim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson
2007	C	`ed.`	Multi-Agent-Based Simulation VII, International Workshop, MABS 2006, Hakodate, Japan, May 8, 2006, Revised and Invited Papers MABS Luis Antunes, Keiki Takadama
2006	C	`conf`	Can Agents Acquire Human-Like Behaviors in a Sequential Bargaining Game? - Comparison of Roth's and Q-Learning Agents -. MABS Keiki Takadama, Tetsuro Kawai, Yuhsuke Koyama
2005	—	`conf`	Analyzing Parameter Sensitivity and Classifier Representations for Real-Valued XCS. IWLCS Atsushi Wada, Keiki Takadama, Katsunori Shimohara, Osamu Katai
2005	—	`conf`	Counter Example for Q-Bucket-Brigade Under Prediction Problem. IWLCS Atsushi Wada, Keiki Takadama, Katsunori Shimohara
2005	—	`conf`	Counter example for Q-bucket-brigade under prediction problem. GECCO Workshops Atsushi Wada, Keiki Takadama, Katsunori Shimohara
2005	—	`conf`	Exploring XCS in multiagent environments. GECCO Workshops Hiroyasu Inoue, Keiki Takadama, Katsunori Shimohara
2005	—	`conf`	Learning classifier system equivalent with reinforcement learning with function approximation. GECCO Workshops Atsushi Wada, Keiki Takadama, Katsunori Shimohara
2005	C	`ed.`	Multi-Agent and Multi-Agent-Based Simulation, Joint Workshop MABS 2004, New York, NY, USA, July 19, 2004, Revised Selected Papers MABS Paul Davidsson, Brian Logan, Keiki Takadama
2004	—	`conf`	A Partitioned Random Network Agent Model for Organizational Sectionalism Studies. JSAI Workshops Kikuo Yuta, Yoshi Fujiwara, Wataru Souma, Keiki Takadama, Katsunori Shimohara, Osamu Katai
2004	C	`conf`	Toward Guidelines for Modeling Learning Agents in Multiagent-Based Simulation: Implications from Q-Learning and Sarsa Agents. MABS Keiki Takadama, Hironori Fujita
2003	J	`jnl`	A reinforcement learning approach to fail-safe design for multiple space robots--cooperation mechanism without communication and negotiation schemes. Adv. Robotics Keiki Takadama, Shuichi Matsumoto, Shinichi Nakasuka, Katsunori Shimohara
2003	—	`conf`	Acquisition of a specialty in multi-agent learning: approach from learning classifier system. CIRA Hiroyasu Inoue, Katsunori Shimohara, Keiki Takadama, Osamu Katai
2003	J	`jnl`	Analyzing the Agent-Based Model and its Implications. Adv. Complex Syst. Yutaka I. Leon-Suematsu, Keiki Takadama, Norberto Eiji Nawa, Katsunori Shimohara, Osamu Katai
2003	J	`jnl`	Cross-Element Validation in Multiagent-based Simulation: Switching Learning Mechanisms in Agents. J. Artif. Soc. Soc. Simul. Keiki Takadama, Yutaka L. Suematsu, Norikazu Sugimoto, Norberto Eiji Nawa, Katsunori Shimohara
2003	J	`jnl`	Interpretation by Implementation for Understanding a Multiagent Organization. Comput. Math. Organ. Theory Keiki Takadama, Takao Terano, Katsunori Shimohara
2003	C	`conf`	Towards Verification and Validation in Multiagent-Based Systems and Simulations: Analyzing Different Learning Bargaining Agents. MABS Keiki Takadama, Yutaka L. Suematsu, Norikazu Sugimoto, Norberto Eiji Nawa, Katsunori Shimohara
2002	—	`conf`	Autonomous symbol Acquisition through Agent Communication. SEAL Atsushi Wada, Keiki Takadama, Katsunori Shimohara, Osamu Katai
2002	A	`conf`	Cross-validation In Multiagent-based Simulation: Analyzing Evolutionary Bargaining Agents. GECCO Keiki Takadama, Yutaka L. Suematsu, Norberto Eiji Nawa, Katsunori Shimohara
2002	J	`jnl`	Robustness in organizational-learning oriented classifier system. Soft Comput. Keiki Takadama, Shinichi Nakasuka, Katsunori Shimohara
2001	J	`jnl`	Agent architecture based on an interactive self-reflection classifier system. Artif. Life Robotics Keiki Takadama, Hiroyasu Inoue, Katsunori Shimohara, Michio Okada, Osamu Katai
2001	J	`jnl`	Interactive self-reflection and its architecture based on cellular automata. Artif. Life Robotics Keiki Takadama, Katsunori Shimohara
2001	J	`jnl`	Nongovernance rather than governance in a multiagent economic society. IEEE Trans. Evol. Comput. Keiki Takadama, Takao Terano, Katsunori Shimohara
2001	—	`conf`	Toward Cumulative Progress in Agent-Based Simulation. JSAI Workshops Keiki Takadama, Katsunori Shimohara
2000	—	`conf`	Learning Classifier Systems Meet Multiagent Environments. IWLCS Keiki Takadama, Takao Terano, Katsunori Shimohara
1999	J	`jnl`	An approach to printed circuit board design with organizational learning agents. Syst. Comput. Jpn. Keiki Takadama, Shinichi Nakasuka, Takao Terano
1999	—	`conf`	Grammatical Learning Model for Adaptive Collective Behaviors in Multiple Robots. Grammatical Models of Multi-Agent Systems Keiki Takadama, Koichiro Hajiri, Tatsuya Nomura, Katsunori Shimohara, Shinichi Nakasuka
1999	B	`conf`	How to Design Good Results for Multiple Learning Agents in Scheduling Problems? PRIMA Keiki Takadama, Masakazu Watabe, Katsunori Shimohara, Shinichi Nakasuka
1999	J	`jnl`	Making Organizational Learning Operational: Implications from Learning Classifier Systems. Comput. Math. Organ. Theory Keiki Takadama, Takao Terano, Katsunori Shimohara, Koichi Hori, Shinichi Nakasuka
1998	B	`conf`	Amalyzing the Roles of Problem Solving and Learning in Organizational-Learning Oriented Classifier System. PRICAI Keiki Takadama, Shinichi Nakasuka, Takao Terano
1998	B	`conf`	Fault tolerance in a multiple robots organization based on an organizational learning model. SMC Hitomi Kasahara, Keiki Takadama, Shinichi Nakasuka, Katsunori Shimohara
1998	J	`jnl`	Learning model for adaptive behaviors as an organized group of swarm robots. Artif. Life Robotics Keiki Takadama, Koichiro Hajiri, Tatsuya Nomura, Katsunori Shimohara, Michio Okada, Shinichi Nakasuka
1998	J	`jnl`	Printed Circuit Board Design via Organizational-Learning Agents. Appl. Intell. Keiki Takadama, Shinichi Nakasuka, Takao Terano
1997	J	`jnl`	Organizational learning model for adaptive collective behaviors in multiple robots. Adv. Robotics Keiki Takadama, Koichiro Hajiri, Tatsuya Nomura, Katsunori Shimohara, Shinichi Nakasuka
1996	—	`conf`	Self Organization of Individual Intelligence and Emergence of Communication in an Artificial Organism Population. German Conference on Bioinformatics Keiki Takadama, Shinichi Nakasuka