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Susumu Serita
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2020 – today
- 2022
- [c12]Fumiya Kudo, Fumiko Beniyama, Susumu Serita:
Simulation-based Scheduling by Bayesian Optimization based on Gaussian Process Regression with Rank Correlation Kernel. SICE 2022: 502-507 - 2021
- [c11]Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita:
Deep Reinforcement Learning with Adjustments. INDIN 2021: 1-8 - [i5]Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita:
Deep Reinforcement Learning with Adjustments. CoRR abs/2109.13463 (2021) - 2020
- [c10]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: 1436-1441 - [c9]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: 418-425 - [c8]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: 1096-1101 - [i4]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 abs/2008.10713 (2020)
2010 – 2019
- 2019
- [c7]Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita:
Regularized Operating Envelope with Interpretability and Implementability Constraints. IEEE BigData 2019: 1506-1516 - [c6]Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta:
Remaining Useful Life Estimation Using Functional Data Analysis. ICPHM 2019: 1-8 - [c5]Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Takashi Saeki, Chetan Gupta:
Multilayer Perceptron for Sparse Functional Data. IJCNN 2019: 1-10 - [c4]Shuai Zheng, Chetan Gupta, Susumu Serita:
Manufacturing Dispatching Using Reinforcement and Transfer Learning. ECML/PKDD (3) 2019: 655-671 - [i3]Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta:
Remaining Useful Life Estimation Using Functional Data Analysis. CoRR abs/1904.06442 (2019) - [i2]Shuai Zheng, Chetan Gupta, Susumu Serita:
Manufacturing Dispatching using Reinforcement and Transfer Learning. CoRR abs/1910.02035 (2019) - [i1]Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita:
Regularized Operating Envelope with Interpretability and Implementability Constraints. CoRR abs/1912.10158 (2019) - 2018
- [c3]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: 284-291 - 2016
- [c2]Fumiya Kudo, Norihiko Moriwaki, Tomoaki Akitomi, Susumu Serita, Yu Kitano:
Automatic Label Data Abstraction Based on Information Entropy (Application Paper). IRI 2016: 181-187 - 2013
- [j1]Takao Murakami, Kenta Takahashi, Susumu Serita, Yasuhiro Fujii:
Probabilistic enhancement of approximate indexing in metric spaces. Inf. Syst. 38(7): 1007-1018 (2013) - 2011
- [c1]Takao Murakami, Kenta Takahashi, Susumu Serita, Yasuhiro Fujii:
Versatile probability-based indexing for approximate similarity search. SISAP 2011: 51-58
Coauthor Index
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