Chetan Gupta

发表

Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control

T. Kanazawa, Haiyan Wang, Chetan Gupta, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Sample-based Uncertainty Quantification with a Single Deterministic Neural Network

T. Kanazawa, Chetan Gupta, 2022, IJCCI.

Analytics-Driven Industrial Big Data Applications (特集 OTとITの融合 : IoT時代のオペレーション革新)

Chetan Gupta, Kosta Ristovski, Ahmed K. Farahat, 2015 .

Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching pdf

Chetan Gupta, Haiyan Wang, Hamed Khorasgani, 2020, ArXiv.

K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents

Chetan Gupta, H. Khorasgani, Haiyan Wang, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Spatio-Temporal Functional Neural Networks

Chetan Gupta, Haiyan Wang, Hamed Khorasgani, 2020, 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA).

Health Indicator Forecasting for Improving Remaining Useful Life Estimation

Chetan Gupta, Haiyan Wang, Ahmed K. Farahat, 2020, 2020 IEEE International Conference on Prognostics and Health Management (ICPHM).

Functional approach for Two Way Dimension Reduction in Time Series

Aniruddha Rajendra Rao, A. Rao, Haiyan Wang, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Long Short-Term Memory Network for Remaining Useful Life estimation

Chetan Gupta, Kosta Ristovski, Ahmed K. Farahat, 2017, 2017 IEEE International Conference on Prognostics and Health Management (ICPHM).

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

Chetan Gupta, Haiyan Wang, Hamed Khorasgani, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Deep Time Series Models for Scarce Data

Ahmed K. Farahat, Chetan Gupta, Ahmed Farahat, 2021, Neurocomputing.

Regularized Operating Envelope with Interpretability and Implementability Constraints

Chetan Gupta, Haiyan Wang, Susumu Serita, 2019, 2019 IEEE International Conference on Big Data (Big Data).

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

Chetan Gupta, Onur Atan, Kosta Ristovski, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Manufacturing Dispatching using Reinforcement and Transfer Learning

Susumu Serita, Chetan Gupta, Shuai Zheng, 2019, ECML/PKDD.

Off-line Deep Reinforcement Learning for Maintenance Optimization

Chetan Gupta, H. Khorasgani, Haiyan Wang, 2021, Annual Conference of the PHM Society.

Remaining Useful Life Estimation Using Functional Data Analysis

Chetan Gupta, Qiyao Wang, Ahmed K. Farahat, 2019, 2019 IEEE International Conference on Prognostics and Health Management (ICPHM).

Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines

Chetan Gupta, Kunihiko Harada, Hsiu-Khuern Tang, 2017, KDD.

Deep Learning for Industrial AI: Challenges, New Methods and Best Practices

Chetan Gupta, Ahmed K. Farahat, Ahmed Farahat, 2020, KDD.

Equipment Health Indicator Learning Using Deep Reinforcement Learning

Chetan Gupta, Kosta Ristovski, Ahmed K. Farahat, 2018, ECML/PKDD.

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

Chi Zhang, Susumu Serita, Chetan Gupta, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks

Arman Hasanzadeh, Chetan Gupta, Hamed Khorasgani, 2019, 2019 IEEE International Conference on Prognostics and Health Management (ICPHM).

Remaining Useful Life Estimation using Event Data

Ahmed K. Farahat, Laleh Jalali, Chetan Gupta, 2021 .

Remaining Useful Life Estimation for Systems with Abrupt Failures

Chetan Gupta, Wei Huang, Ahmed K. Farahat, 2018, Annual Conference of the PHM Society.

CDA: Contrastive-adversarial Domain Adaptation

Ahmed K. Farahat, A. Ganguly, Chetan Gupta, 2023, arXiv.org.

Guided Visual Inspection enabled by AI-based Detection Models

Chetan Gupta, Maria Teresa Gonzalez Diaz, Dipanjan Ghosh, 2021, 2021 IEEE International Conference on Prognostics and Health Management (ICPHM).

Framework for Unifying Model-based and Data-driven Fault Diagnosis

Chetan Gupta, Gautam Biswas, Kosta Ristovski, 2018, Annual Conference of the PHM Society.

Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning

T. Kanazawa, Chetan Gupta, 2023, ArXiv.

Evaluation of Event Impact on Key Performance Indicators

Ahmed K. Farahat, Chetan Gupta, Shuai Zheng, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Deep Reinforcement Learning with Adjustments

Susumu Serita, Hamed Khorasgani, Chetan Gupta, 2021, 2021 IEEE 19th International Conference on Industrial Informatics (INDIN).

Generative Adversarial Networks for Failure Prediction pdf

Ahmed K. Farahat, Chetan Gupta, Shuai Zheng, 2019, ECML/PKDD.