Masahiro Kohjima

32 papers A* 3A 2B 5C 2Misc 5Journal 2Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	CardioFlow: Learning to Generate ECG from PPG with Rectified Flow. ICASSP Yuta Nambu, Masahiro Kohjima, Ryuji Yamamoto
2025	A	`conf`	Meta-learning of Class Knowledge in Zero-shot Learning. SDM Yuta Nambu, Masahiro Kohjima, Tomoharu Iwata, Ryuji Yamamoto
2025	B	`conf`	Personalizing Dialog Policy in Health Guidance via Model-based Multitask Reinforcement Learning. IJCNN Taiga Sano, Masahiro Kohjima, Masami Takahashi, Kaori Fujimura, Tae Sato, Yurika Katagiri
2024	—	`conf`	Evaluation of Virtual Audience Synchronized with Cheering Motion of the User's Light Stick During Music Concerts. HCI (62) Wakana Oshiro, Masahiro Kohjima, Haruno Kataoka, Masanori Yokoyama, Yuta Nambu, Motohiro Makiguchi, Rika Mochizuki, Ryuji Yamamoto
2024	Misc	`conf`	On The Equivalence Of Dynamic Mode Decomposition And Complex Nonnegative Matrix Factorization. ICASSP Masahiro Kohjima
2024	A*	`conf`	Shuffled Deep Regression. AAAI Masahiro Kohjima
2023	—	`conf`	Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data. PAKDD (2) Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
2023	B	`conf`	Latent Neural Phase Model for Synchronization Analysis. IJCNN Masahiro Kohjima
2022	—	`conf`	General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data. ICONIP (1) Masahiro Kohjima, Yuta Nambu, Yuki Kurauchi, Ryuji Yamamoto
2022	—	`conf`	Mixture of Linear Additive Markov Processes: A Probabilistic Model for Joint Clustering and History-Dependent Transition Estimation. WI/IAT Masahiro Kohjima
2022	—	`conf`	Polya Decision Processes: A New History-Dependent Framework for Reinforcement Learning. CDC Masahiro Kohjima
2022	Misc	`conf`	Uncoupled Nonnegative Matrix Factorization with Pairwise Comparison Data. ICTIR Masahiro Kohjima
2021	—	`conf`	Effects of Intervening Backwards from Goals to Improve Sleep Habits. UbiComp/ISWC Adjunct Masami Takahashi, Masahiro Kohjima, Ryo Hashimoto, Asuka Miyake, Takeshi Kurashima, Hiroyuki Toda
2021	A*	`conf`	Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization. AAAI Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
2021	J	`jnl`	Parallel Sequential Random Embedding Bayesian Optimization. SN Comput. Sci. Noriko Yokoyama, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
2021	—	`conf`	Price and Time Optimization for Utility-Aware Taxi Dispatching. PRICAI (1) Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, Hiroyuki Toda
2020	B	`conf`	Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs. ICPR Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
2020	—	`conf`	Censored Markov Decision Processes: A Framework for Safe Reinforcement Learning in Collaboration with External Systems. CDC Masahiro Kohjima, Masami Takahashi, Hiroyuki Toda
2020	A*	`conf`	Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data. IJCAI Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
2019	—	`conf`	Efficient Bayesian Optimization Based on Parallel Sequential Random Embeddings. ACPR (1) Noriko Yokoyama, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
2019	C	`conf`	Exemplar Based Mixture Models with Censored Data. ACML Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
2019	Misc	`conf`	Generalized Interval Valued Nonnegative Matrix Factorization. ICASSP Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
2019	—	`conf`	Identifying self-changeable actions toward regulating rhythm of daily life. UbiComp/ISWC Adjunct Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Tatsushi Matsubayashi, Hiroyuki Toda
2019	J	`jnl`	Learning of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis. IEICE Trans. Inf. Syst. Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
2018	B	`conf`	Multi Agent Flow Estimation Based on Bayesian Optimization with Time Delay and Low Dimensional Parameter Conversion. PRIMA Hiroshi Kiyotake, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
2018	—	`conf`	Variational Bayes for Mixture Models with Censored Data. ECML/PKDD (2) Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
2017	—	`conf`	Generalized Inverse Reinforcement Learning with Linearly Solvable MDP. ECML/PKDD (2) Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
2017	—	`conf`	Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization. ICANN (2) Masahiro Kohjima, Sumio Watanabe
2017	Misc	`conf`	What-If Prediction via Inverse Reinforcement Learning. FLAIRS Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
2016	B	`conf`	Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences. ICPR Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
2015	A	`conf`	Probabilistic Non-negative Inconsistent-resolution Matrices Factorization. CIKM Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
2015	C	`conf`	Regularity Measure and Influence Weight for Analysis and Visualization of Consumer's Attitude. IV Aki Hayashi, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada