Susumu Serita

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 16

Top Topics

Data Abstraction

Rank Correlation

Reinforcement Learning

Top Venues

Publications

Fumiya Kudo, Fumiko Beniyama, Susumu Serita
Simulation-based Scheduling by Bayesian Optimization based on Gaussian Process Regression with Rank Correlation Kernel. SICE (2022)
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita
Deep Reinforcement Learning with Adjustments. CoRR (2021)
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita
Deep Reinforcement Learning with Adjustments. INDIN (2021)
Satoshi Nagahara, Susumu Serita, Yuma Shiho, Shuai Zheng, Haiyan Wang, Takafumi Chida, Chetan Gupta
Toward data-driven modeling of material flow simulation: automatic parameter calibration of multiple agents from sparse production log. CASE (2020)
Atsuki Kiuchi, Haiyan Wang, Qiyao Wang, Takahiro Ogura, Tazu Nomoto, Chetan Gupta, Takaharu Matsui, Susumu Serita, Chi Zhang
Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management. CASE (2020)
Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. CoRR (2020)
Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta, Haiyan Wang
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. IEEE BigData (2020)
Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta
Remaining Useful Life Estimation Using Functional Data Analysis. ICPHM (2019)
Shuai Zheng, Chetan Gupta, Susumu Serita
Manufacturing Dispatching Using Reinforcement and Transfer Learning. ECML/PKDD (3) (2019)
Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita
Regularized Operating Envelope with Interpretability and Implementability Constraints. IEEE BigData (2019)
Shuai Zheng, Chetan Gupta, Susumu Serita
Manufacturing Dispatching using Reinforcement and Transfer Learning. CoRR (2019)
Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Takashi Saeki, Chetan Gupta
Multilayer Perceptron for Sparse Functional Data. IJCNN (2019)
Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta
Remaining Useful Life Estimation Using Functional Data Analysis. CoRR (2019)
Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita
Regularized Operating Envelope with Interpretability and Implementability Constraints. CoRR (2019)
Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Hsiu-Khuern Tang, Susumu Serita, Chetan Gupta
What Maintenance is Worth the Money? A Data-Driven Answer. INDIN (2018)
Fumiya Kudo, Norihiko Moriwaki, Tomoaki Akitomi, Susumu Serita, Yu Kitano
Automatic Label Data Abstraction Based on Information Entropy (Application Paper). IRI (2016)
Takao Murakami, Kenta Takahashi, Susumu Serita, Yasuhiro Fujii
Probabilistic enhancement of approximate indexing in metric spaces. Inf. Syst. 38 (7) (2013)
Takao Murakami, Kenta Takahashi, Susumu Serita, Yasuhiro Fujii
Versatile probability-based indexing for approximate similarity search. SISAP (2011)