Chetan Gupta

Affiliations:
  • Hitachi America Ltd, Santa Clara, CA, USA
  • Hewlett-Packard Labs., Palo Alto, CA, USA (former)
  • University Of Illinois, Chicago, IL, USA (former)


According to our database1, Chetan Gupta authored at least 82 papers between 2004 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems.
CoRR, 2024

Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance.
CoRR, 2024

Predictive Analysis for Optimizing Port Operations.
CoRR, 2024

2023
Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling.
Comput. Ind. Eng., November, 2023

Optimal Load Shedding for Public Safety Power Shutoffs.
CoRR, 2023

CDA: Contrastive-adversarial Domain Adaptation.
CoRR, 2023

An ensemble of convolution-based methods for fault detection using vibration signals.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Objective Reinforcement Learning for Sustainable Supply Chain Optimization.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Bayesian Optimization Methods for Inventory Control with Agent-Based Supply-Chain Simulator.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., September, 2022

Enabling Product Circularity Through Big Data Analytics and Digitalization.
Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control.
Proceedings of the International Joint Conference on Neural Networks, 2022

Sample-based Uncertainty Quantification with a Single Deterministic Neural Network.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Deep Reinforcement Learning toward Robust Multi-echelon Supply Chain Inventory Optimization.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Functional approach for Two Way Dimension Reduction in Time Series.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Deep time series models for scarce data.
Neurocomputing, 2021

Data-driven Residual Generation for Early Fault Detection with Limited Data.
CoRR, 2021

An Offline Deep Reinforcement Learning for Maintenance Decision-Making.
CoRR, 2021


Deep Reinforcement Learning with Adjustments.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Guided Visual Inspection enabled by AI-based Detection Models.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching.
CoRR, 2020

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning.
CoRR, 2020

Wisdom of the Ensemble: Improving Consistency of Deep Learning Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Learning for Industrial AI: Challenges, New Methods and Best Practices.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Health Indicator Forecasting for Improving Remaining Useful Life Estimation.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Trace Norm Generative Adversarial Networks for Sensor Generation and Feature Extraction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Discriminant Generative Adversarial Networks with its Application to Equipment Health Classification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Spatio-Temporal Functional Neural Networks.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Toward data-driven modeling of material flow simulation: automatic parameter calibration of multiple agents from sparse production log.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Non-linear Function-on-Function Model for Regression with Time Series Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Generative Adversarial Networks for Failure Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Manufacturing Dispatching Using Reinforcement and Transfer Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Multilayer Perceptron for Sparse Functional Data.
Proceedings of the International Joint Conference on Neural Networks, 2019

Remaining Useful Life Estimation Using Functional Data Analysis.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Risk-Based Dynamic Pricing via Failure Prediction.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Evaluation of Event Impact on Key Performance Indicators.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Regularized Operating Envelope with Interpretability and Implementability Constraints.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Equipment Health Indicator Learning Using Deep Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

What Maintenance is Worth the Money? A Data-Driven Answer.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Long Short-Term Memory Network for Remaining Useful Life estimation.
Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017

2015
Forecasting spatiotemporal impact of traffic incidents for next-generation navigation systems.
Knowl. Inf. Syst., 2015

2014
An Approach to Benchmarking Industrial Big Data Applications.
Proceedings of the Big Data Benchmarking - 5th International Workshop, 2014

2013
Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

High-performance complex event processing using continuous sliding views.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

2012
A platform for situational awareness in operational BI.
Decis. Support Syst., 2012

Optimizing Flows for Real Time Operations Management.
Proceedings of the Scientific and Statistical Database Management, 2012

Mining traffic incidents to forecast impact.
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012

Event correlation for operations management of largescale IT systems.
Proceedings of the 9th International Conference on Autonomic Computing, 2012

Of Cubes, DAGs and Hierarchical Correlations: A Novel Conceptual Model for Analyzing Social Media Data.
Proceedings of the Conceptual Modeling, 2012

Realtime healthcare services via nested complex event processing technology.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011
E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Optimizing complex sequence pattern extraction using caching.
Proceedings of the Workshops Proceedings of the 27th International Conference on Data Engineering, 2011

High-performance nested CEP query processing over event streams.
Proceedings of the 27th International Conference on Data Engineering, 2011

Live BI: A Framework for Real Time Operations Management.
Proceedings of the Databases in Networked Information Systems - 7th International Workshop, 2011

An Application of Sensor and Streaming Analytics to Oil Production.
Proceedings of the 17th International Conference on Management of Data, 2011

2010
SIE-OBI: a streaming information extraction platform for operational business intelligence.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Partitioning real-time ETL workflows.
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

E-Cube: Multi-dimensional event sequence processing using concept and pattern hierarchies.
Proceedings of the 26th International Conference on Data Engineering, 2010

Non-dyadic Haar wavelets for streaming and sensor data.
Proceedings of the 26th International Conference on Data Engineering, 2010

Leveraging web streams for contractual situational awareness in operational BI.
Proceedings of the 2010 EDBT/ICDT Workshops, Lausanne, Switzerland, March 22-26, 2010, 2010

Information Extraction, Real-Time Processing and DW2.0 in Operational Business Intelligence.
Proceedings of the Databases in Networked Information Systems, 6th International Workshop, 2010

Processing nested complex sequence pattern queries over event streams.
Proceedings of the 7th Workshop on Data Management for Sensor Networks, 2010

NEEL: The Nested Complex Event Language for Real-Time Event Analytics.
Proceedings of the Enabling Real-Time Business Intelligence - 4th International Workshop, 2010

2009
CHAOS: A Data Stream Analysis Architecture for Enterprise Applications.
Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, 2009

Classification with Unknown Classes.
Proceedings of the Scientific and Statistical Database Management, 2009

rFEED: A Mixed Workload Scheduler for Enterprise Data Warehouses.
Proceedings of the 25th International Conference on Data Engineering, 2009

Fair, effective, efficient and differentiated scheduling in an enterprise data warehouse.
Proceedings of the EDBT 2009, 2009

VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans.
Proceedings of the Enabling Real-Time Business Intelligence - Third International Workshop, 2009

2008
Automatic Workload Management for Enterprise Data Warehouses.
IEEE Data Eng. Bull., 2008

PQR: Predicting Query Execution Times for Autonomous Workload Management.
Proceedings of the 2008 International Conference on Autonomic Computing, 2008

BI batch manager: a system for managing batch workloads on enterprise data-warehouses.
Proceedings of the EDBT 2008, 2008

2007
Outlier Detection with Streaming Dyadic Decomposition.
Proceedings of the Advances in Data Mining. Theoretical Aspects and Applications, 2007

2004
GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004


  Loading...