Masahiro Kohjima

According to our database, Masahiro Kohjima authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On The Equivalence Of Dynamic Mode Decomposition And Complex Nonnegative Matrix Factorization.

Masahiro Kohjima

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the HCI International 2024 Posters, 2024

Shuffled Deep Regression.

Masahiro Kohjima

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data.

Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Latent Neural Phase Model for Synchronization Analysis.

Masahiro Kohjima

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Mixture of Linear Additive Markov Processes: A Probabilistic Model for Joint Clustering and History-Dependent Transition Estimation.

Masahiro Kohjima

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Uncoupled Nonnegative Matrix Factorization with Pairwise Comparison Data.

Masahiro Kohjima

Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data.

Masahiro Kohjima, Yuta Nambu, Yuki Kurauchi, Ryuji Yamamoto

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Polya Decision Processes: A New History-Dependent Framework for Reinforcement Learning.

Masahiro Kohjima

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Parallel Sequential Random Embedding Bayesian Optimization.

Noriko Yokoyama, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda

SN Comput. Sci., 2021

Price and Time Optimization for Utility-Aware Taxi Dispatching.

Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Effects of Intervening Backwards from Goals to Improve Sleep Habits.

Masami Takahashi, Masahiro Kohjima, Ryo Hashimoto, Asuka Miyake, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data.

Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs.

Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Censored Markov Decision Processes: A Framework for Safe Reinforcement Learning in Collaboration with External Systems.

Masahiro Kohjima, Masami Takahashi, Hiroyuki Toda

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Learning of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis.

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada

IEICE Trans. Inf. Syst., 2019

Generalized Interval Valued Nonnegative Matrix Factorization.

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda

Proceedings of the IEEE International Conference on Acoustics, 2019

Identifying self-changeable actions toward regulating rhythm of daily life.

Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Tatsushi Matsubayashi, Hiroyuki Toda

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Efficient Bayesian Optimization Based on Parallel Sequential Random Embeddings.

Noriko Yokoyama, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

Exemplar Based Mixture Models with Censored Data.

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda

Proceedings of The 11th Asian Conference on Machine Learning, 2019

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

Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

Variational Bayes for Mixture Models with Censored Data.

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Generalized Inverse Reinforcement Learning with Linearly Solvable MDP.

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization.

Masahiro Kohjima, Sumio Watanabe

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

What-If Prediction via Inverse Reinforcement Learning.

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences.

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Regularity Measure and Influence Weight for Analysis and Visualization of Consumer's Attitude.

Aki Hayashi, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada

Proceedings of the 19th International Conference on Information Visualisation, 2015

Probabilistic Non-negative Inconsistent-resolution Matrices Factorization.

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015