Chetan Gupta

Chandrasekar Venkatraman

Abhishek Padmanabhan

A. Vinoth Kumar

CoRR, 2024

Predictive Analysis for Optimizing Port Operations.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling.

[BibT_eX]

[DOI]

Comput. Ind. Eng., November, 2023

Optimal Load Shedding for Public Safety Power Shutoffs.

[BibT_eX]

[DOI]

Chandrasekar Venkatraman

Robert Ellis

CoRR, 2023

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

[BibT_eX]

[DOI]

Takuya Kanazawa

CoRR, 2023

CDA: Contrastive-adversarial Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

An ensemble of convolution-based methods for fault detection using vibration signals.

[BibT_eX]

[DOI]

Xian Yeow Lee

Aman Kumar

Lasitha Vidyaratne

Maria Teresa Gonzalez Diaz

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Objective Reinforcement Learning for Sustainable Supply Chain Optimization.

[BibT_eX]

[DOI]

Ibrahim El Shar

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.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., September, 2022

Enabling Product Circularity Through Big Data Analytics and Digitalization.

[BibT_eX]

[DOI]

Anastasia Osling

Ravigopal Vennelakanti

Amit Kumar

Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control.

[BibT_eX]

[DOI]

Takuya Kanazawa

Proceedings of the International Joint Conference on Neural Networks, 2022

Sample-based Uncertainty Quantification with a Single Deterministic Neural Network.

[BibT_eX]

[DOI]

Takuya Kanazawa

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Deep Reinforcement Learning toward Robust Multi-echelon Supply Chain Inventory Optimization.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Functional approach for Two Way Dimension Reduction in Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Deep time series models for scarce data.

[BibT_eX]

[DOI]

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

Hamed Khorasgani

Maria Teresa Gonzalez Diaz

CoRR, 2021

An Offline Deep Reinforcement Learning for Maintenance Decision-Making.

[BibT_eX]

[DOI]

CoRR, 2021

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

Deep Reinforcement Learning with Adjustments.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Guided Visual Inspection enabled by AI-based Detection Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching.

[BibT_eX]

[DOI]

Hamed Khorasgani

Maria Teresa Gonzalez Diaz

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Wisdom of the Ensemble: Improving Consistency of Deep Learning Models.

[BibT_eX]

[DOI]

Lijing Wang

Dipanjan Ghosh

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Trace Norm Generative Adversarial Networks for Sensor Generation and Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Discriminant Generative Adversarial Networks with its Application to Equipment Health Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Spatio-Temporal Functional Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Qiyao Wang

Hamed Khorasgani

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Generative Adversarial Networks for Failure Prediction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Manufacturing Dispatching Using Reinforcement and Transfer Learning.

[BibT_eX]

[DOI]

Susumu Serita

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Multilayer Perceptron for Sparse Functional Data.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Remaining Useful Life Estimation Using Functional Data Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Risk-Based Dynamic Pricing via Failure Prediction.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Evaluation of Event Impact on Key Performance Indicators.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Regularized Operating Envelope with Interpretability and Implementability Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Equipment Health Indicator Learning Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

What Maintenance is Worth the Money? A Data-Driven Answer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2015

2014

An Approach to Benchmarking Industrial Big Data Applications.

[BibT_eX]

[DOI]

Ravigopal Vennelakanti

Marcos R. Vieira

Song Wang

Proceedings of the Big Data Benchmarking - 5th International Workshop, 2014

2013

Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

High-performance complex event processing using continuous sliding views.

[BibT_eX]

[DOI]

Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

2012

A platform for situational awareness in operational BI.

[BibT_eX]

[DOI]

Decis. Support Syst., 2012

Optimizing Flows for Real Time Operations Management.

[BibT_eX]

[DOI]

Proceedings of the Scientific and Statistical Database Management, 2012

Mining traffic incidents to forecast impact.

[BibT_eX]

[DOI]

Mahalia Miller

Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012

Event correlation for operations management of largescale IT systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Conceptual Modeling, 2012

Realtime healthcare services via nested complex event processing technology.

[BibT_eX]

[DOI]

Dazhi Zhang

Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011

E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Optimizing complex sequence pattern extraction using caching.

[BibT_eX]

[DOI]

Proceedings of the Workshops Proceedings of the 27th International Conference on Data Engineering, 2011

High-performance nested CEP query processing over event streams.

[BibT_eX]

[DOI]

Krishnamurthy Viswanathan

Proceedings of the 27th International Conference on Data Engineering, 2011

Live BI: A Framework for Real Time Operations Management.

[BibT_eX]

[DOI]

Proceedings of the Databases in Networked Information Systems - 7th International Workshop, 2011

An Application of Sensor and Streaming Analytics to Oil Production.

[BibT_eX]

[DOI]

Choudur Lakshminarayan

Ming C. Hao

Harikrishnam-Raju Sagiraju

Ravigopal Vennelakanti

Paul Helm

Sumitha Rangaiah

Sunil Doddmani

Proceedings of the 17th International Conference on Management of Data, 2011

2010

SIE-OBI: a streaming information extraction platform for operational business intelligence.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Partitioning real-time ETL workflows.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Data Engineering, 2010

Non-dyadic Haar wavelets for streaming and sensor data.

[BibT_eX]

[DOI]

Choudur Lakshminarayan

Song Wang

Proceedings of the 26th International Conference on Data Engineering, 2010

Leveraging web streams for contractual situational awareness in operational BI.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Databases in Networked Information Systems, 6th International Workshop, 2010

Processing nested complex sequence pattern queries over event streams.

[BibT_eX]

[DOI]

Proceedings of the 7th Workshop on Data Management for Sensor Networks, 2010

NEEL: The Nested Complex Event Language for Real-Time Event Analytics.

[BibT_eX]

[DOI]

Proceedings of the Enabling Real-Time Business Intelligence - 4th International Workshop, 2010

2009

CHAOS: A Data Stream Analysis Architecture for Enterprise Applications.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, 2009

Classification with Unknown Classes.

[BibT_eX]

[DOI]

Proceedings of the Scientific and Statistical Database Management, 2009

rFEED: A Mixed Workload Scheduler for Enterprise Data Warehouses.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Data Engineering, 2009

Fair, effective, efficient and differentiated scheduling in an enterprise data warehouse.

[BibT_eX]

[DOI]

Proceedings of the EDBT 2009, 2009

VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans.

[BibT_eX]

[DOI]

Song Wang

Proceedings of the Enabling Real-Time Business Intelligence - Third International Workshop, 2009

2008

Automatic Workload Management for Enterprise Data Warehouses.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2008

PQR: Predicting Query Execution Times for Autonomous Workload Management.

[BibT_eX]

[DOI]

Proceedings of the 2008 International Conference on Autonomic Computing, 2008

BI batch manager: a system for managing batch workloads on enterprise data-warehouses.

[BibT_eX]

[DOI]

Proceedings of the EDBT 2008, 2008

2007

Outlier Detection with Streaming Dyadic Decomposition.

[BibT_eX]

[DOI]

Robert L. Grossman

Proceedings of the Advances in Data Mining. Theoretical Aspects and Applications, 2007

2004

GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering.

[BibT_eX]

[DOI]