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An Offline Deep Reinforcement Learning for Maintenance Decision-Making


Sep 28, 2021
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed Farahat


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Deep Reinforcement Learning with Adjustments


Sep 28, 2021
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita


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Deep Time Series Models for Scarce Data


Mar 16, 2021
Qiyao Wang, Ahmed Farahat, Chetan Gupta, Shuai Zheng

* Journal paper to appear in Neurocomputing 

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A Non-linear Function-on-Function Model for Regression with Time Series Data


Nov 24, 2020
Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani

* Accepted by IEEE Big Data 2020 

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Wisdom of the Ensemble: Improving Consistency of Deep Learning Models


Nov 13, 2020
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe


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Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching


Nov 09, 2020
Hamed Khorasgani, Haiyan Wang, Chetan Gupta

* arXiv admin note: text overlap with arXiv:2008.10713 

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Spatio-Temporal Functional Neural Networks


Sep 11, 2020
Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta

* Accepted by 2020 IEEE International Conference on Data Science and Advanced Analytics (DSAA) 

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


Aug 24, 2020
Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta


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Health Indicator Forecasting for Improving Remaining Useful Life Estimation


Jun 05, 2020
Qiyao Wang, Ahmed Farahat, Chetan Gupta, Haiyan Wang

* Accepted by IEEE International Conference on Prognostics and Health Management 2020 

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Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities


Dec 31, 2019
Walid Shalaby, Adriano Arantes, Teresa GonzalezDiaz, Chetan Gupta


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Regularized Operating Envelope with Interpretability and Implementability Constraints


Dec 21, 2019
Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita

* In the proceedings of the 2019 IEEE Big Data Conference 

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Manufacturing Dispatching using Reinforcement and Transfer Learning


Oct 04, 2019
Shuai Zheng, Chetan Gupta, Susumu Serita

* ECML PKDD 2019 (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019) 

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Generative Adversarial Networks for Failure Prediction


Oct 04, 2019
Shuai Zheng, Ahmed Farahat, Chetan Gupta

* ECML PKDD 2019 (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019) 

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Remaining Useful Life Estimation Using Functional Data Analysis


Apr 12, 2019
Qiyao Wang, Shuai Zheng, Ahmed Farahat, Susumu Serita, Chetan Gupta

* Accepted by IEEE International Conference on Prognostics and Health Management 2019 

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Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling


Dec 18, 2018
Karan Aggarwal, Onur Atan, Ahmed Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta

* Accepted at IEEE International Conference on BigData 2018 

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