Chetan Gupta

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 65

Top Topics

Reinforcement Learning

Fault Detection

Dimension Reduction

Top Venues

Publications

Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
Predictive Analysis for Optimizing Port Operations. CoRR (2024)
Ibrahim El Shar, Haiyan Wang, Chetan Gupta
Multi-Objective Reinforcement Learning for Sustainable Supply Chain Optimization. CASE (2023)
Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed Farahat, Chetan Gupta
An ensemble of convolution-based methods for fault detection using vibration signals. CoRR (2023)
Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Robert Ellis, Chetan Gupta
Optimal Load Shedding for Public Safety Power Shutoffs. CoRR (2023)
Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
A Functional approach for Two Way Dimension Reduction in Time Series. CoRR (2023)
Nishant Yadav, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly
CDA: Contrastive-adversarial Domain Adaptation. CoRR (2023)
Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta
An ensemble of convolution-based methods for fault detection using vibration signals. ICPHM (2023)
Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, Ahmed K. Farahat
Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling. Comput. Ind. Eng. 185 (2023)
Takuya Kanazawa, Chetan Gupta
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. CoRR (2023)
Xian Yeow Lee, Lasitha Vidyaratne, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta
XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. CVPR Workshops (2023)
Takuya Kanazawa, Haiyan Wang, Chetan Gupta
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. IJCNN (2022)
Takuya Kanazawa, Chetan Gupta
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. CoRR (2022)
Takahiro Ogura, Haiyan Wang, Qiyao Wang, Atsuki Kiuchi, Chetan Gupta, Naoshi Uchihira
Bayesian Optimization Methods for Inventory Control with Agent-Based Supply-Chain Simulator. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (9) (2022)
Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. CoRR (2022)
Takuya Kanazawa, Chetan Gupta
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. IJCCI (2022)
Umeshwar Dayal, Manish Gupta, Dipanjan Ghosh, Dinesh Wadhawan, Archana Morrow, Sadanori Horiguchi, Haiyan Wang, Aniruddha Rajendra Rao, Anastasia Osling, Chetan Gupta, Ravigopal Vennelakanti, Amit Kumar
Enabling Product Circularity Through Big Data Analytics and Digitalization. MWSCAS (2022)
Ibrahim El Shar, Wenhuan Sun, Haiyan Wang, Chetan Gupta
Deep Reinforcement Learning toward Robust Multi-echelon Supply Chain Inventory Optimization. CASE (2022)
Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
Functional approach for Two Way Dimension Reduction in Time Series. Big Data (2022)
Takuya Kanazawa, Haiyan Wang, Chetan Gupta
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. CoRR (2022)
Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Shuai Zheng
Deep time series models for scarce data. Neurocomputing 456 (2021)
Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) (2021)
Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. IEEE BigData (2021)
Hamed Khorasgani, Ahmed K. Farahat, Chetan Gupta
Data-driven Residual Generation for Early Fault Detection with Limited Data. CoRR (2021)
Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Shuai Zheng
Deep Time Series Models for Scarce Data. CoRR (2021)
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed K. Farahat
An Offline Deep Reinforcement Learning for Maintenance Decision-Making. CoRR (2021)
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita
Deep Reinforcement Learning with Adjustments. CoRR (2021)
Maria Teresa Gonzalez Diaz, Dipanjan Ghosh, Adriano S. Arantes, Hamed Khorosgani, Mahbubul Alam, Gregory Sin, Chetan Gupta
Guided Visual Inspection enabled by AI-based Detection Models. ICPHM (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)
Hamed Khorasgani, Haiyan Wang, Chetan Gupta
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching. CoRR (2020)
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. NeurIPS (2020)
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. CoRR (2020)
Shuai Zheng, Chetan Gupta
Discriminant Generative Adversarial Networks with its Application to Equipment Health Classification. ICASSP (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)
Shuai Zheng, Chetan Gupta
Trace Norm Generative Adversarial Networks for Sensor Generation and Feature Extraction. ICASSP (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)
Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. CoRR (2020)
Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. ICPHM (2020)
Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Haiyan Wang
Health Indicator Forecasting for Improving Remaining Useful Life Estimation. CoRR (2020)
Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta
Spatio-Temporal Functional Neural Networks. CoRR (2020)
Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani
A Non-linear Function-on-Function Model for Regression with Time Series Data. CoRR (2020)
Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani
A Non-linear Function-on-Function Model for Regression with Time Series Data. IEEE BigData (2020)
Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Haiyan Wang
Health Indicator Forecasting for Improving Remaining Useful Life Estimation. ICPHM (2020)
Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta
Spatio-Temporal Functional Neural Networks. DSAA (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)
Chetan Gupta, Ahmed K. Farahat
Deep Learning for Industrial AI: Challenges, New Methods and Best Practices. KDD (2020)
Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Chetan Gupta, Shuai Zheng
Evaluation of Event Impact on Key Performance Indicators. ICMLA (2019)
Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta
Remaining Useful Life Estimation Using Functional Data Analysis. ICPHM (2019)
Chi Zhang, Chetan Gupta, Seiji Joichi, Ahmed K. Farahat, Huijuan Shao
Risk-Based Dynamic Pricing via Failure Prediction. ICMLA (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)
Shuai Zheng, Ahmed K. Farahat, Chetan Gupta
Generative Adversarial Networks for Failure Prediction. ECML/PKDD (3) (2019)
Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. ICPHM (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)
Shuai Zheng, Ahmed K. Farahat, Chetan Gupta
Generative Adversarial Networks for Failure Prediction. 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)
Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. IEEE BigData (2018)
Chi Zhang, Chetan Gupta, Ahmed K. Farahat, Kosta Ristovski, Dipanjan Ghosh
Equipment Health Indicator Learning Using Deep Reinforcement Learning. ECML/PKDD (3) (2018)
Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. CoRR (2018)
Kosta Ristovski, Chetan Gupta, Kunihiko Harada, Hsiu-Khuern Tang
Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines. KDD (2017)
Shuai Zheng, Kosta Ristovski, Ahmed K. Farahat, Chetan Gupta
Long Short-Term Memory Network for Remaining Useful Life estimation. ICPHM (2017)
Bei Pan, Ugur Demiryurek, Chetan Gupta, Cyrus Shahabi
Forecasting spatiotemporal impact of traffic incidents for next-generation navigation systems. Knowl. Inf. Syst. 45 (1) (2015)
Umeshwar Dayal, Chetan Gupta, Ravigopal Vennelakanti, Marcos R. Vieira, Song Wang
An Approach to Benchmarking Industrial Big Data Applications. WBDB (2014)
Bei Pan, Ugur Demiryurek, Cyrus Shahabi, Chetan Gupta
Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks. ICDM (2013)
Medhabi Ray, Elke A. Rundensteiner, Mo Liu, Chetan Gupta, Song Wang, Ismail Ari
High-performance complex event processing using continuous sliding views. EDBT (2013)
Chetan Gupta
Event correlation for operations management of largescale IT systems. ICAC (2012)
Mo Liu, Medhabi Ray, Dazhi Zhang, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari
Realtime healthcare services via nested complex event processing technology. EDBT (2012)
Umeshwar Dayal, Chetan Gupta, Malú Castellanos, Song Wang, Manolo García-Solaco
Of Cubes, DAGs and Hierarchical Correlations: A Novel Conceptual Model for Analyzing Social Media Data. ER (2012)
Malú Castellanos, Chetan Gupta, Song Wang, Umeshwar Dayal, Miguel Durazo
A platform for situational awareness in operational BI. Decis. Support Syst. 52 (4) (2012)
Alkis Simitsis, Chetan Gupta, Kevin Wilkinson, Umeshwar Dayal
Optimizing Flows for Real Time Operations Management. SSDBM (2012)
Mahalia Miller, Chetan Gupta
Mining traffic incidents to forecast impact. UrbComp@KDD (2012)
Krishnamurthy Viswanathan, Chetan Gupta, Choudur Lakshminarayan, Ming C. Hao, Umeshwar Dayal, Ravigopal Vennelakanti, Paul Helm, Sumitha Rangaiah, Harikrishnam-Raju Sagiraju, Sunil Doddmani
An Application of Sensor and Streaming Analytics to Oil Production. COMAD (2011)
Mo Liu, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta
High-performance nested CEP query processing over event streams. ICDE (2011)
Mo Liu, Elke A. Rundensteiner, Kara Greenfield, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta
E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing. SIGMOD Conference (2011)
Medhabi Ray, Mo Liu, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Abhay Mehta, Ismail Ari
Optimizing complex sequence pattern extraction using caching. ICDE Workshops (2011)
Chetan Gupta, Umeshwar Dayal, Song Wang, Abhay Mehta
Live BI: A Framework for Real Time Operations Management. DNIS (2011)
Mo Liu, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta
NEEL: The Nested Complex Event Language for Real-Time Event Analytics. BIRTE (2010)
Malú Castellanos, Song Wang, Umeshwar Dayal, Chetan Gupta
SIE-OBI: a streaming information extraction platform for operational business intelligence. SIGMOD Conference (2010)
Mo Liu, Medhabi Ray, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta
Processing nested complex sequence pattern queries over event streams. DMSN (2010)
Malú Castellanos, Chetan Gupta, Song Wang, Umeshwar Dayal
Leveraging web streams for contractual situational awareness in operational BI. EDBT/ICDT Workshops (2010)
Chetan Gupta, Choudur Lakshminarayan, Song Wang, Abhay Mehta
Non-dyadic Haar wavelets for streaming and sensor data. ICDE (2010)
Malú Castellanos, Umeshwar Dayal, Song Wang, Chetan Gupta
Information Extraction, Real-Time Processing and DW2.0 in Operational Business Intelligence. DNIS (2010)
Mo Liu, Elke A. Rundensteiner, Kara Greenfield, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta
E-Cube: Multi-dimensional event sequence processing using concept and pattern hierarchies. ICDE (2010)
Alkis Simitsis, Chetan Gupta, Song Wang, Umeshwar Dayal
Partitioning real-time ETL workflows. ICDE Workshops (2010)
Chetan Gupta, Abhay Mehta, Song Wang, Umeshwar Dayal
Fair, effective, efficient and differentiated scheduling in an enterprise data warehouse. EDBT (2009)
Abhay Mehta, Chetan Gupta, Song Wang, Umeshwar Dayal
rFEED: A Mixed Workload Scheduler for Enterprise Data Warehouses. ICDE (2009)
Chetan Gupta, Song Wang, Umeshwar Dayal, Abhay Mehta
Classification with Unknown Classes. SSDBM (2009)
Chetan Gupta, Song Wang, Ismail Ari, Ming C. Hao, Umeshwar Dayal, Abhay Mehta, Manish Marwah, Ratnesh K. Sharma
CHAOS: A Data Stream Analysis Architecture for Enterprise Applications. CEC (2009)
Song Wang, Chetan Gupta, Abhay Mehta
VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans. BIRTE (2009)
Abhay Mehta, Chetan Gupta, Song Wang, Umeshwar Dayal
Automatic Workload Management for Enterprise Data Warehouses. IEEE Data Eng. Bull. 31 (1) (2008)
Abhay Mehta, Chetan Gupta, Umeshwar Dayal
BI batch manager: a system for managing batch workloads on enterprise data-warehouses. EDBT (2008)
Chetan Gupta, Abhay Mehta, Umeshwar Dayal
PQR: Predicting Query Execution Times for Autonomous Workload Management. ICAC (2008)
Chetan Gupta, Robert L. Grossman
Outlier Detection with Streaming Dyadic Decomposition. ICDM (2007)
Chetan Gupta, Robert L. Grossman
GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering. SDM (2004)