Susumu Serita

According to our database, Susumu Serita authored at least 14 papers between 2011 and 2022.

Collaborative distances:

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

2022

Simulation-based Scheduling by Bayesian Optimization based on Gaussian Process Regression with Rank Correlation Kernel.

Fumiya Kudo, Fumiko Beniyama, Susumu Serita

Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

2021

Deep Reinforcement Learning with Adjustments.

Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2020

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning.

Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta

CoRR, 2020

Toward data-driven modeling of material flow simulation: automatic parameter calibration of multiple agents from sparse production log.

Satoshi Nagahara, Susumu Serita, Yuma Shiho, Shuai Zheng, Haiyan Wang, Takafumi Chida, Chetan Gupta

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management.

Atsuki Kiuchi, Haiyan Wang, Qiyao Wang, Takahiro Ogura, Tazu Nomoto, Chetan Gupta, Takaharu Matsui, Susumu Serita, Chi Zhang

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning.

Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta, Haiyan Wang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Manufacturing Dispatching Using Reinforcement and Transfer Learning.

Shuai Zheng, Chetan Gupta, Susumu Serita

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Multilayer Perceptron for Sparse Functional Data.

Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Takashi Saeki, Chetan Gupta

Proceedings of the International Joint Conference on Neural Networks, 2019

Remaining Useful Life Estimation Using Functional Data Analysis.

Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Regularized Operating Envelope with Interpretability and Implementability Constraints.

Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

What Maintenance is Worth the Money? A Data-Driven Answer.

Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Hsiu-Khuern Tang, Susumu Serita, Chetan Gupta

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

2016

Automatic Label Data Abstraction Based on Information Entropy (Application Paper).

Fumiya Kudo, Norihiko Moriwaki, Tomoaki Akitomi, Susumu Serita, Yu Kitano

Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

2013

Probabilistic enhancement of approximate indexing in metric spaces.

Takao Murakami, Kenta Takahashi, Susumu Serita, Yasuhiro Fujii

Inf. Syst., 2013

2011

Versatile probability-based indexing for approximate similarity search.

Takao Murakami, Kenta Takahashi, Susumu Serita, Yasuhiro Fujii

Proceedings of the Fourth International Conference on Similarity Search and Applications, 2011