Probabilistic Non-negative Inconsistent-resolution Matrices Factorization. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (CIKM, 2015)

Regularity Measure and Influence Weight for Analysis and Visualization of Consumer's Attitude. - Aki Hayashi; Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (IV, 2015)

Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (ICPR, 2016)

What-If Prediction via Inverse Reinforcement Learning. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (FLAIRS, 2017)

Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization. - Masahiro Kohjima; Sumio Watanabe (ICANN (2), 2017)

Generalized Inverse Reinforcement Learning with Linearly Solvable MDP. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (ECML/PKDD (2), 2017)

Variational Bayes for Mixture Models with Censored Data. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (ECML/PKDD (2), 2018)

Multi Agent Flow Estimation Based on Bayesian Optimization with Time Delay and Low Dimensional Parameter Conversion. - Hiroshi Kiyotake; Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (PRIMA, 2018)

Exemplar Based Mixture Models with Censored Data. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (ACML, 2019)

Efficient Bayesian Optimization Based on Parallel Sequential Random Embeddings. - Noriko Yokoyama; Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (ACPR (1), 2019)

Identifying self-changeable actions toward regulating rhythm of daily life. - Masami Takahashi; Masahiro Kohjima; Takeshi Kurashima; Tatsushi Matsubayashi; Hiroyuki Toda (UbiComp/ISWC Adjunct, 2019)

Generalized Interval Valued Nonnegative Matrix Factorization. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (ICASSP, 2019)

Learning of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (IEICE Trans. Inf. Syst., 2019)

Censored Markov Decision Processes: A Framework for Safe Reinforcement Learning in Collaboration with External Systems. - Masahiro Kohjima; Masami Takahashi; Hiroyuki Toda (CDC, 2020)

Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs. - Masami Takahashi; Masahiro Kohjima; Takeshi Kurashima; Hiroyuki Toda (ICPR, 2020)

Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data. - Masahiro Kohjima; Takeshi Kurashima; Hiroyuki Toda (IJCAI, 2020)

Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization. - Yuya Hikima; Yasunori Akagi; Hideaki Kim; Masahiro Kohjima; Takeshi Kurashima; Hiroyuki Toda (AAAI, 2021)

Effects of Intervening Backwards from Goals to Improve Sleep Habits. - Masami Takahashi; Masahiro Kohjima; Ryo Hashimoto; Asuka Miyake; Takeshi Kurashima; Hiroyuki Toda (UbiComp/ISWC Adjunct, 2021)

Price and Time Optimization for Utility-Aware Taxi Dispatching. - Yuya Hikima; Masahiro Kohjima; Yasunori Akagi; Takeshi Kurashima; Hiroyuki Toda (PRICAI (1), 2021)

Parallel Sequential Random Embedding Bayesian Optimization. - Noriko Yokoyama; Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (SN Comput. Sci., 2021)

Polya Decision Processes: A New History-Dependent Framework for Reinforcement Learning. - Masahiro Kohjima (CDC, 2022)

General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data. - Masahiro Kohjima; Yuta Nambu; Yuki Kurauchi; Ryuji Yamamoto (ICONIP (1), 2022)

Uncoupled Nonnegative Matrix Factorization with Pairwise Comparison Data. - Masahiro Kohjima (ICTIR, 2022)

Mixture of Linear Additive Markov Processes: A Probabilistic Model for Joint Clustering and History-Dependent Transition Estimation. - Masahiro Kohjima (WI/IAT, 2022)

Latent Neural Phase Model for Synchronization Analysis. - Masahiro Kohjima (IJCNN, 2023)

Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data. - Masahiro Kohjima; Takeshi Kurashima; Hiroyuki Toda (PAKDD (2), 2023)

Shuffled Deep Regression. - Masahiro Kohjima (AAAI, 2024)

Evaluation of Virtual Audience Synchronized with Cheering Motion of the User's Light Stick During Music Concerts. - Wakana Oshiro; Masahiro Kohjima; Haruno Kataoka; Masanori Yokoyama; Yuta Nambu; Motohiro Makiguchi; Rika Mochizuki; Ryuji Yamamoto (HCI (62), 2024)

On The Equivalence Of Dynamic Mode Decomposition And Complex Nonnegative Matrix Factorization. - Masahiro Kohjima (ICASSP, 2024)

CardioFlow: Learning to Generate ECG from PPG with Rectified Flow. - Yuta Nambu; Masahiro Kohjima; Ryuji Yamamoto (ICASSP, 2025)

Meta-learning of Class Knowledge in Zero-shot Learning. - Yuta Nambu; Masahiro Kohjima; Tomoharu Iwata; Ryuji Yamamoto (SDM, 2025)