Keiki Takadama

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 166

Top Venues

CEC

AAAI Spring Symposia

J. Adv. Comput. Intell. Intell. Informatics

GECCO (Companion)

Publications

Iko Nakari, Keiki Takadama
Non-Contact Sleep Stage Estimation by Updating its Prediction Probabilities According to Ultradian Rhythm. J. Adv. Comput. Intell. Intell. Informatics 28 (2) (2024)
Shoichiro Tanaka, Gabriela Ochoa, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato
Approximating Pareto Local Optimal Solution Networks. GECCO (2024)
Keiki Takadama
What Is a Correct Output by Generative AI From the Viewpoint of Well-Being? - Perspective From Sleep Stage Estimation -. AAAI Spring Symposia (2024)
Iko Nakari, Keiki Takadama
Explainable Non-Contact Sleep Apnea Syndrome Detection Based on Comparison of Random Forests. IEEE Access 12 (2024)
Shoichiro Tanaka, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato
Designing Helper Objectives in Multi-Objectivization. CEC (2024)
Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
Prototype Generation with the sUpervised Classifier System on kNN Matching. CEC (2024)
Keigo Mochizuki, Tomoki Ishizuka, Naoya Yatsu, Hiroyuki Sato, Keiki Takadama
Design of Generalized and Specialized Helper Objectives for Multi-objective Continuous Optimization Problems. CEC (2024)
Ryo Takamiya, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
Push and Pull Search with Directed Mating for Constrained Multi-objective Optimization. CEC (2024)
Iko Nakari, Keiki Takadama
Sleep Stage Estimation by Introduction of Sleep Domain Knowledge to AI: Towards Personalized Sleep Counseling System with GenAI. AAAI Spring Symposia (2024)
Kazuteru Miyazaki, Keiki Takadama
Editorial: Cutting Edge of Reinforcement Learning and its Hybrid Methods. J. Adv. Comput. Intell. Intell. Informatics 28 (2) (2024)
Shunsuke Ueki, Keiki Takadama
Multi-Agent Archive-Based Inverse Reinforcement Learning by Improving Suboptimal Experts. ICAART (3) (2024)
Daiki Shintani, Iko Nakari, Satomi Washizaki, Keiki Takadama
NREM3 Sleep Stage Estimation Based on Accelerometer by Body Movement Count and Biological Rhythms. AAAI Spring Symposia (2024)
Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. GECCO Companion (2024)
Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
From Multipoint Search to Multiarea Search: Novelty-Based Multi-Objectivization for Unbounded Search Space Optimization. CEC (2024)
Takashi Kido, Keiki Takadama
The Challenges for GenAI in Social and Individual Well-Being. AAAI Spring Symposia (2024)
Fumito Uwano, Satoshi Hasegawa, Keiki Takadama
Inverse Reinforcement Learning with Agents' Biased Exploration Based on Sub-Optimal Sequential Action Data. J. Adv. Comput. Intell. Intell. Informatics 28 (2) (2024)
Shio Kawakami, Keiki Takadama, Hiroyuki Sato
Evolutionary Constrained Multi-Factorial Optimization Based on Task Similarity. CEC (2024)
Kazuma Sato, Naru Okumura, Keiki Takadama, Hiroyuki Sato
Should Multi-objective Evolutionary Algorithms Use Always Best Non-dominated Solutions as Parents? CEC (2024)
Naru Okumura, Keiki Takadama, Hiroyuki Sato
Pareto Front Estimation Model Optimization for Aggregative Solution Set Representation. CEC (2024)
Ryuki Ishizawa, Tomoya Kuga, Yusuke Maekawa, Hiroyuki Sato, Keiki Takadama
Toward Unbounded Search Space Exploration by Particle Swarm Optimization in Multi-Modal Optimization Problem. CEC (2023)
Takashi Kido, Keiki Takadama
AAAI 23 Spring Symposium Report on "Socially Responsible AI for Well-Bing". AI Mag. 44 (2) (2023)
Keiki Takadama
How to Handle Wellbeing in Socially Responsible AI? - Findings from Sleep Perspective -. AAAI Spring Symposium: SRAI (2023)
Iko Nakari, Masahiro Nakashima, Keiki Takadama
Personalized Sleep Stage Estimation Based on Time Series Probability of Estimation for Each Label with Wearable 3-Axis Accelerometer. HCI (5) (2023)
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making. IEEE Access 11 (2023)
Takashi Kido, Keiki Takadama
The Challenges for Socially Responsible AI for Well-being. AAAI Spring Symposium: SRAI (2023)
Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. GECCO (2023)
Iko Nakari, Keiki Takadama
Sleep Stage Estimation based on The Estimated Probability of each Sleep Stage by Learning with Specialized Models. AAAI Spring Symposium: SRAI (2023)
Fumito Uwano, Keiki Takadama
Reinforcement Learning in Cyclic Environmental Changes for Agents in Non-Communicative Environments: A Theoretical Approach. EXTRAAMAS (2023)
Miki Nakai, Tomoyoshi Ashikaga, Junichi Shimizu, Keiki Takadama
Thermal environment evaluation considering nap start time. AAAI Spring Symposium: SRAI (2023)
Shoichiro Tanaka, Keiki Takadama, Hiroyuki Sato
Multi-objectivization Relaxes Multi-funnel Structures in Single-objective NK-landscapes. EvoCOP (2023)
Naoya Matsuda, Iko Nakari, Keiki Takadama, Kohta Katayama, Makoto Shiraishi, Yoshiyuki Ohira
Alzheimer Dementia Detection Based on Time-series Instability of Heart Rate. EMBC (2023)
Iko Nakari, Keiki Takadama
Personalized Non-contact Sleep Stage Estimation with Weighted Probability Estimation by Ultradian Rhythm. EMBC (2023)
Kazushi Fujino, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
Adaptive action-prediction cortical learning algorithm under uncertain environments. Int. J. Hybrid Intell. Syst. 19 (3) (2023)
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling. EMO (2023)
Hiroki Shiraishi, Yohei Havamizu, Hiroyuki Sato, Keiki Takadama
Beta Distribution based XCS Classifier System. CEC (2022)
Iko Nakari, Naoya Matsuda, Keiki Takadama
Non-Contact REM Sleep Estimation Correction by Time-Series Confidence of Predictions: From Binary to Continuous Prediction in Machine Learning for Biological Data. EMBC (2022)
Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
XCSR with VAE using Gaussian Distribution Matching: From Point to Area Matching in Latent Space for Less-overlapped Rule Generation in Observation Space. CEC (2022)
Kazushi Fujino, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
Adaptive Synapse Adjustment for Multivariate Cortical Learning Algorithm. SCIS/ISIS (2022)
Keiki Takadama
How to Cope with Bias in Well-being AI? AAAI Spring Symposium: HFIF (2022)
Takashi Kido, Keiki Takadama
The Challenges for Fairness and Well-being. AAAI Spring Symposium: HFIF (2022)
Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama
Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. GECCO (2022)
Takeru Aoki, Keiki Takadama, Hiroyuki Sato
Synergistic Effect of Adaptive Synapse Arrangement and Column-based Decoder in Cortical Learning Algorithm. SCIS/ISIS (2022)
Naoya Matsuda, Taiki Senju, Iko Nakari, Keiki Takadama
Analysis of Circadian Rhythm Estimation Process for Improving the Accuracy of Alzheimer Dementia Detection. AAAI Spring Symposium: HFIF (2022)
Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama
Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS. EvoApplications (2022)
Iko Nakari, Naoya Matsuda, Keiki Takadama
REM Estimation Based on Combination of Multi-Timescale Estimations and Automatic Adjustment of Personal Bio-vibration Data of Mattress Sensor. AAAI Spring Symposium: HFIF (2022)
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Supervised Multi-Objective Optimization Algorithm Using Estimation. CEC (2022)
Naoya Matsuda, Iko Nakari, Keiki Takadama
Unstable Circadian Rhythm of Heart Rate of Alzheimer Dementia Based on Biological Data of Mattress Sensor. EMBC (2022)
Shoichiro Tanaka, Keiki Takadama, Hiroyuki Sato
Impacts of Single-objective Landscapes on Multi-objective Optimization. CEC (2022)
Fumito Uwano, Daiki Yamane, Keiki Takadama
Design of Human-Agent-Group Interaction for Correct Opinion Sharing on Social Media. HCI (4) (2022)
Miki Nakai, Tomoyoshi Ashikaga, Takahiro Ohga, Keiki Takadama
A Thermal Environment that Promotes Efficient Napping. AAAI Spring Symposium: HFIF (2022)
Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama
Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. GECCO (2022)
Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Keiki Takadama, Shiqi Zhang
Guiding Robot Exploration in Reinforcement Learning via Automated Planning. ICAPS (2021)
Sho Kajihara, Hiroyuki Sato, Keiki Takadama
Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm Based on Decomposition. EvoApplications (2021)
Iko Nakari, Keiki Takadama
Sleep Apnea Syndrome Detection Based on Degree of Convexity of Logarithmic Spectrum Calculated from Overnight Bio-vibration Data of Mattress Sensor. EMBC (2021)
Shio Kawakami, Keiki Takadama, Hiroyuki Sato
Multi-factorial Evolutionary Algorithm Using Objective Similarity Based Parent Selection. BICT (2021)
Yoshimiki Maekawa, Tomohiro Yamaguchi, Keiki Takadama
Analyzing Early Stage of Forming a Consensus from Viewpoint of Majority/Minority Decision in Online-Barnga. HCI (5) (2021)
Naoya Matsuda, Iko Nakari, Ryotaro Arai, Hiroyuki Sato, Keiki Takadama, Masanori Hirose, Hiroshi Hasegawa, Makoto Shiraishi, Takahide Matsuda
Alzheimer Dementia Detection based on Circadian Rhythm Disorder of Heartrate. LifeTech (2021)
Fumito Uwano, Keiki Takadama
Directionality Reinforcement Learning to Operate Multi-Agent System without Communication. CoRR (2021)
Takeru Aoki, Keiki Takadama, Hiroyuki Sato
Adaptive Synapse Arrangement in Cortical Learning Algorithm. J. Adv. Comput. Intell. Intell. Informatics 25 (4) (2021)
Naoya Matsuda, Iko Nakari, Keiki Takadama
Alzheimer Dementia Detection Based on Unstable Circadian Rhythm Waves Extracted from Heartrate. EMBC (2021)
Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama
Misclassification detection based on conditional VAE for rule evolution in learning classifier system. GECCO Companion (2021)
Takeru Aoki, Keiki Takadama, Hiroyuki Sato
Double-Layered Cortical Learning Algorithm for Time-Series Prediction. BICT (2021)
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA. CEC (2021)
Masakazu Tadokoro, Hiroyuki Sato, Keiki Takadama
XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional Data. CEC (2021)
Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama
Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. CEC (2021)
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Pareto Front Estimation Using Unit Hyperplane. EMO (2021)
Kensuke Kano, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Preliminary study of adaptive grid-based decomposition on many-objective evolutionary optimization. GECCO Companion (2020)
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Incremental lattice design of weight vector set. GECCO Companion (2020)
Iko Nakari, Eiki Kitajima, Yusuke Tajima, Keiki Takadama
Non-contact Sleep Apnea Syndrome Detection Based on What Random Forests Learned. LifeTech (2020)
Takeru Aoki, Keiki Takadama, Hiroyuki Sato
Column-based Decoder of Internal Prediction Representation in Cortical Learning Algorithms. SCIS/ISIS (2020)
Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Shiqi Zhang, Keiki Takadama
Guided Dyna-Q for Mobile Robot Exploration and Navigation. CoRR (2020)
Shio Kawakami, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Distance Minimization Problems for Multi-factorial Evolutionary Optimization Benchmarking. HIS (2020)
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms. CEC (2020)
Kohei Yamamoto, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Visual mapping of multi-objective optimization problems and evolutionary algorithms. GECCO Companion (2020)
Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima, Keiki Takadama
How to Emote for Consensus Building in Virtual Communication. HCI (5) (2020)
Fumito Uwano, Keiki Takadama
Reward Value-Based Goal Selection for Agents' Cooperative Route Learning Without Communication in Reward and Goal Dynamism. SN Comput. Sci. 1 (3) (2020)
Tomohiro Harada, Keiki Takadama
Analysis of semi-asynchronous multi-objective evolutionary algorithm with different asynchronies. Soft Comput. 24 (4) (2020)
Yukiko Fukumoto, Masakazu Tadokoro, Keiki Takadama
Cooperative Multi-agent Inverse Reinforcement Learning Based on Selfish Expert and its Behavior Archives. SSCI (2020)
Sotetsu Suzugamine, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
Self-Structured Cortical Learning Algorithm by Dynamically Adjusting Columns and Cells. J. Adv. Comput. Intell. Intell. Informatics 24 (2) (2020)
Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS. CEC (2020)
Takato Tatsumi, Keiki Takadama
XCS-CR for handling input, output, and reward noise. GECCO (Companion) (2019)
Akari Tobaru, Yusuke Tajima, Keiki Takadama
Sleep Stage Estimation using Heart Rate Variability divided by Sleep Cycle with Relative Evaluation. AAAI Spring Symposium: Interpretable AI for Well-being (2019)
Takahiro Majima, Keiki Takadama, Daisuke Watanabe, Taro Aratani, Keiji Sato
Application of Multi Agent System and Transition Matrix Analysis to Logistics System for Equal Distribution under Disaster Situation. SICE (2019)
Takuya Iwase, Ryo Takano, Fumito Uwano, Hiroyuki Sato, Keiki Takadama
Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions. CEC (2019)
Takashi Kido, Keiki Takadama
The Challenges for Interpretable AI for Well-being. AAAI Spring Symposium: Interpretable AI for Well-being (2019)
Iko Nakari, Yusuke Tajima, Akari Tobaru, Keiki Takadama
WAKE Detection During Sleep using Random Forest for Apnea Syndrome Patients. AAAI Spring Symposium: Interpretable AI for Well-being (2019)
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
Reports of the AAAI 2019 Spring Symposium Series. AI Mag. 40 (3) (2019)
Keiki Takadama, Keiji Sato, Hiroyuki Sato
Evolving Generalized Solutions for Robust Multi-objective Optimization: Transportation Analysis in Disaster. EMO (2019)
Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models. CEC (2019)
Ryo Takano, Akari Tobaru, Iko Nakari, Keiki Takadama
Sleep Stage Estimation Through Mattress Sensor. AAAI Spring Symposium: Interpretable AI for Well-being (2019)
Ryota Kobayashi, Ryo Takano, Hiroyuki Sato, Keiki Takadama
Simultaneous Local Adaptation for Different Local Properties. IES (2019)
Tomohiro Yamaguchi, Shota Nagahama, Yoshihiro Ichikawa, Keiki Takadama
Model-Based Multi-objective Reinforcement Learning with Unknown Weights. HCI (5) (2019)
Iko Nakari, Akinori Murata, Eiki Kitajima, Hiroyuki Sato, Keiki Takadama
Sleep Apnea Syndrome Detection based on Biological Vibration Data from Mattress Sensor. SSCI (2019)
Keiki Takadama, Daichi Yamazaki, Masaya Nakata, Hiroyuki Sato
Complex-Valued-based Learning Classifier System for POMDP Environments. CEC (2019)
Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima, Keiki Takadama
How to Design Adaptable Agents to Obtain a Consensus with Omoiyari. HCI (4) (2019)
Takato Tatsumi, Keiki Takadama
Comparison of Statistical Table- and Non-Statistical Table-based XCS in Noisy Environments. CEC (2019)
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
A Distribution Control of Weight Vector Set for Multi-objective Evolutionary Algorithms. BICT (2019)
Ryo Takano, Sho Kajihara, Satoshi Hasegawa, Eiki Kitajima, Keiki Takadama, Toru Shimuta, Toru Yabe, Hideo Matsumoto
Toward Good Circadian Rhythm through an valuate of Stress Condition. AAAI Spring Symposium: Interpretable AI for Well-being (2019)
Keiki Takadama
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 (2019)
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, Kristen Brent Venable, Peter Vrancx, Shiqi Zhang
Reports on the 2018 AAAI Spring Symposium Series. AI Mag. 39 (4) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Keiki Takadama