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ORCIDMasahiro Kohjima
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2020 – today
- 2024
[c27]Masahiro Kohjima:
Shuffled Deep Regression. AAAI 2024: 13238-13245- [c26]Wakana Oshiro, Masahiro Kohjima, Haruno Kataoka, Masanori Yokoyama, Yuta Nambu, Motohiro Makiguchi, Rika Mochizuki, Ryuji Yamamoto:
Evaluation of Virtual Audience Synchronized with Cheering Motion of the User's Light Stick During Music Concerts. HCI (62) 2024: 332-340 - [c25]Masahiro Kohjima:
On The Equivalence Of Dynamic Mode Decomposition And Complex Nonnegative Matrix Factorization. ICASSP 2024: 5800-5804 - 2023
- [c24]Masahiro Kohjima:
Latent Neural Phase Model for Synchronization Analysis. IJCNN 2023: 1-7 - [c23]Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data. PAKDD (2) 2023: 297-308 - 2022
- [c22]Masahiro Kohjima:
Polya Decision Processes: A New History-Dependent Framework for Reinforcement Learning. CDC 2022: 4884-4891 - [c21]Masahiro Kohjima, Yuta Nambu, Yuki Kurauchi, Ryuji Yamamoto:
General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data. ICONIP (1) 2022: 153-164 - [c20]Masahiro Kohjima:
Uncoupled Nonnegative Matrix Factorization with Pairwise Comparison Data. ICTIR 2022: 103-107 - [c19]Masahiro Kohjima:
Mixture of Linear Additive Markov Processes: A Probabilistic Model for Joint Clustering and History-Dependent Transition Estimation. WI/IAT 2022: 127-134 - 2021
- [j2]Noriko Yokoyama, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda:
Parallel Sequential Random Embedding Bayesian Optimization. SN Comput. Sci. 2(1): 3 (2021) - [c18]Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization. AAAI 2021: 3796-3805 - [c17]Masami Takahashi, Masahiro Kohjima, Ryo Hashimoto, Asuka Miyake, Takeshi Kurashima, Hiroyuki Toda:
Effects of Intervening Backwards from Goals to Improve Sleep Habits. UbiComp/ISWC Adjunct 2021: 74-75 - [c16]Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, Hiroyuki Toda:
Price and Time Optimization for Utility-Aware Taxi Dispatching. PRICAI (1) 2021: 370-381 - 2020
- [c15]Masahiro Kohjima, Masami Takahashi, Hiroyuki Toda:
Censored Markov Decision Processes: A Framework for Safe Reinforcement Learning in Collaboration with External Systems. CDC 2020: 3623-3630 - [c14]Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs. ICPR 2020: 4865-4872 - [c13]Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data. IJCAI 2020: 2412-2419
2010 – 2019
- 2019
- [j1]Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada:
Learning of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis. IEICE Trans. Inf. Syst. 102-D(4): 715-723 (2019) - [c12]Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda:
Exemplar Based Mixture Models with Censored Data. ACML 2019: 535-550 - [c11]Noriko Yokoyama, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda:
Efficient Bayesian Optimization Based on Parallel Sequential Random Embeddings. ACPR (1) 2019: 453-466 - [c10]Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Tatsushi Matsubayashi, Hiroyuki Toda:
Identifying self-changeable actions toward regulating rhythm of daily life. UbiComp/ISWC Adjunct 2019: 218-221 - [c9]Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda:
Generalized Interval Valued Nonnegative Matrix Factorization. ICASSP 2019: 3412-3416 - 2018
- [c8]Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda:
Variational Bayes for Mixture Models with Censored Data. ECML/PKDD (2) 2018: 605-620 - [c7]Hiroshi Kiyotake, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda:
Multi Agent Flow Estimation Based on Bayesian Optimization with Time Delay and Low Dimensional Parameter Conversion. PRIMA 2018: 53-69 - 2017
- [c6]Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada:
What-If Prediction via Inverse Reinforcement Learning. FLAIRS 2017: 74-79 - [c5]Masahiro Kohjima, Sumio Watanabe:
Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization. ICANN (2) 2017: 146-154 - [c4]Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada:
Generalized Inverse Reinforcement Learning with Linearly Solvable MDP. ECML/PKDD (2) 2017: 373-388 - 2016
- [c3]Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada:
Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences. ICPR 2016: 2515-2520 - 2015
- [c2]Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada:
Probabilistic Non-negative Inconsistent-resolution Matrices Factorization. CIKM 2015: 1855-1858 - [c1]Aki Hayashi, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada:
Regularity Measure and Influence Weight for Analysis and Visualization of Consumer's Attitude. IV 2015: 290-299
Coauthor Index
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