Versatile probability-based indexing for approximate similarity search. - Takao Murakami; Kenta Takahashi; Susumu Serita; Yasuhiro Fujii (SISAP, 2011)

Probabilistic enhancement of approximate indexing in metric spaces. - Takao Murakami; Kenta Takahashi; Susumu Serita; Yasuhiro Fujii (Inf. Syst., 2013)

Automatic Label Data Abstraction Based on Information Entropy (Application Paper). - Fumiya Kudo; Norihiko Moriwaki; Tomoaki Akitomi; Susumu Serita; Yu Kitano (IRI, 2016)

What Maintenance is Worth the Money? A Data-Driven Answer. - Qiyao Wang; Ahmed K. Farahat; Kosta Ristovski; Hsiu-Khuern Tang; Susumu Serita; Chetan Gupta 001 (INDIN, 2018)

Regularized Operating Envelope with Interpretability and Implementability Constraints. - Qiyao Wang; Haiyan Wang 003; Chetan Gupta 001; Susumu Serita (IEEE BigData, 2019)

Remaining Useful Life Estimation Using Functional Data Analysis. - Qiyao Wang; Shuai Zheng; Ahmed K. Farahat; Susumu Serita; Chetan Gupta 001 (ICPHM, 2019)

Multilayer Perceptron for Sparse Functional Data. - Qiyao Wang; Shuai Zheng; Ahmed K. Farahat; Susumu Serita; Takashi Saeki; Chetan Gupta 001 (IJCNN, 2019)

Manufacturing Dispatching Using Reinforcement and Transfer Learning. - Shuai Zheng; Chetan Gupta 001; Susumu Serita (ECML/PKDD (3), 2019)

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. - Chi Zhang 030; Philip Odonkor; Shuai Zheng; Hamed Khorasgani; Susumu Serita; Chetan Gupta 001; Haiyan Wang 003 (IEEE BigData, 2020)

Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management. - Atsuki Kiuchi; Haiyan Wang 003; Qiyao Wang; Takahiro Ogura; Tazu Nomoto; Chetan Gupta 001; Takaharu Matsui; Susumu Serita; Chi Zhang 030 (CASE, 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 003; Takafumi Chida; Chetan Gupta 001 (CASE, 2020)

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. - Chi Zhang 030; Philip Odonkor; Shuai Zheng; Hamed Khorasgani; Susumu Serita; Chetan Gupta 001 (CoRR, 2020)

Deep Reinforcement Learning with Adjustments. - Hamed Khorasgani; Haiyan Wang 003; Chetan Gupta 001; Susumu Serita (INDIN, 2021)

Simulation-based Scheduling by Bayesian Optimization based on Gaussian Process Regression with Rank Correlation Kernel. - Fumiya Kudo; Fumiko Beniyama; Susumu Serita (SICE, 2022)