Chetan Gupta - RankMe

111 papers A* 10A 2B 13C 5Misc 3Journal 38Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Building Domain-Specific Small Language Models via Guided Data Generation. AAAI Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2025	J	`jnl`	A Hierarchical Agentic Framework for Autonomous Drone-Based Visual Inspection. CoRR Ethan Herron, Xian Yeow Lee, Gregory Sin, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Chetan Gupta
2025	J	`jnl`	Building Domain-Specific Small Language Models via Guided Data Generation. CoRR Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2025	J	`jnl`	Exploring LLM-based Frameworks for Fault Diagnosis. CoRR Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Chetan Gupta
2025	—	`conf`	Generating Troubleshooting Trees With FMEA Using Large Language Models (LLM). ICPHM Lasitha Vidyaratne, Huijuan Shao, Tsubasa Watanabe, Ahmed K. Farahat, Chetan Gupta
2025	B	`conf`	Probabilistic Deep Learning Model for Time Series Analysis. IJCNN Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
2025	J	`jnl`	Weakly-supervised Latent Models for Task-specific Visual-Language Control. CoRR Xian Yeow Lee, Lasitha Vidyaratne, Gregory Sin, Ahmed K. Farahat, Chetan Gupta
2024	J	`jnl`	Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance. CoRR Jana Backhus, Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Abhishek Padmanabhan, A. Vinoth Kumar, Chetan Gupta
2024	B	`conf`	Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data. IEEE Big Data Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta
2024	J	`jnl`	Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data. CoRR Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta
2024	—	`conf`	Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems. CogMI Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta
2024	J	`jnl`	Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems. CoRR Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta
2024	J	`jnl`	Predictive Analysis for Optimizing Port Operations. CoRR Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
2023	J	`jnl`	A Functional approach for Two Way Dimension Reduction in Time Series. CoRR Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
2023	—	`conf`	An ensemble of convolution-based methods for fault detection using vibration signals. ICPHM Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta
2023	J	`jnl`	An ensemble of convolution-based methods for fault detection using vibration signals. CoRR Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta
2023	J	`jnl`	CDA: Contrastive-adversarial Domain Adaptation. CoRR Nishant Yadav, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly
2023	J	`jnl`	Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling. Comput. Ind. Eng. Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, Ahmed K. Farahat
2023	—	`conf`	Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. ICANN (6) Takuya Kanazawa, Chetan Gupta
2023	J	`jnl`	Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. CoRR Takuya Kanazawa, Chetan Gupta
2023	—	`conf`	Multi-Objective Reinforcement Learning for Sustainable Supply Chain Optimization. CASE Ibrahim El Shar, Haiyan Wang, Chetan Gupta
2023	J	`jnl`	Optimal Load Shedding for Public Safety Power Shutoffs. CoRR Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Robert Ellis, Chetan Gupta
2023	—	`conf`	XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. CVPR Workshops Xian Yeow Lee, Lasitha Vidyaratne, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta
2022	J	`jnl`	Bayesian Optimization Methods for Inventory Control with Agent-Based Supply-Chain Simulator. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Takahiro Ogura, Haiyan Wang, Qiyao Wang, Atsuki Kiuchi, Chetan Gupta, Naoshi Uchihira
2022	—	`conf`	Deep Reinforcement Learning toward Robust Multi-echelon Supply Chain Inventory Optimization. CASE Ibrahim El Shar, Wenhuan Sun, Haiyan Wang, Chetan Gupta
2022	B	`conf`	Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. IJCNN Takuya Kanazawa, Haiyan Wang, Chetan Gupta
2022	J	`jnl`	Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. CoRR Takuya Kanazawa, Haiyan Wang, Chetan Gupta
2022	—	`conf`	Enabling Product Circularity Through Big Data Analytics and Digitalization. MWSCAS 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
2022	B	`conf`	Functional approach for Two Way Dimension Reduction in Time Series. IEEE Big Data Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
2022	J	`jnl`	K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. CoRR Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta
2022	C	`conf`	Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. IJCCI Takuya Kanazawa, Chetan Gupta
2022	J	`jnl`	Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. CoRR Takuya Kanazawa, Chetan Gupta
2021	J	`jnl`	An Offline Deep Reinforcement Learning for Maintenance Decision-Making. CoRR Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed K. Farahat
2021	J	`jnl`	Data-driven Residual Generation for Early Fault Detection with Limited Data. CoRR Hamed Khorasgani, Ahmed K. Farahat, Chetan Gupta
2021	C	`conf`	Deep Reinforcement Learning with Adjustments. INDIN Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita
2021	J	`jnl`	Deep Reinforcement Learning with Adjustments. CoRR Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita
2021	J	`jnl`	Deep Time Series Models for Scarce Data. CoRR Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Shuai Zheng
2021	J	`jnl`	Deep time series models for scarce data. Neurocomputing Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Shuai Zheng
2021	—	`conf`	Guided Visual Inspection enabled by AI-based Detection Models. ICPHM Maria Teresa Gonzalez Diaz, Dipanjan Ghosh, Adriano S. Arantes, Hamed Khorosgani, Mahbubul Alam, Gregory Sin, Chetan Gupta
2021	—	`conf`	K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. IEEE BigData Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta
2021	—	`conf`	NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 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
2020	—	`conf`	A Non-linear Function-on-Function Model for Regression with Time Series Data. IEEE BigData Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani
2020	J	`jnl`	A Non-linear Function-on-Function Model for Regression with Time Series Data. CoRR Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani
2020	—	`conf`	Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management. CASE Atsuki Kiuchi, Haiyan Wang, Qiyao Wang, Takahiro Ogura, Tazu Nomoto, Chetan Gupta, Takaharu Matsui, Susumu Serita, Chi Zhang
2020	—	`conf`	Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. ICPHM Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta
2020	J	`jnl`	Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. CoRR Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta
2020	J	`jnl`	Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching. CoRR Hamed Khorasgani, Haiyan Wang, Chetan Gupta
2020	A*	`conf`	Deep Learning for Industrial AI: Challenges, New Methods and Best Practices. KDD Chetan Gupta, Ahmed K. Farahat
2020	Misc	`conf`	Discriminant Generative Adversarial Networks with its Application to Equipment Health Classification. ICASSP Shuai Zheng, Chetan Gupta
2020	—	`conf`	Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. IEEE BigData Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta, Haiyan Wang
2020	J	`jnl`	Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. CoRR Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta
2020	—	`conf`	Health Indicator Forecasting for Improving Remaining Useful Life Estimation. ICPHM Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Haiyan Wang
2020	J	`jnl`	Health Indicator Forecasting for Improving Remaining Useful Life Estimation. CoRR Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Haiyan Wang
2020	B	`conf`	Spatio-Temporal Functional Neural Networks. DSAA Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta
2020	J	`jnl`	Spatio-Temporal Functional Neural Networks. CoRR Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta
2020	—	`conf`	Toward data-driven modeling of material flow simulation: automatic parameter calibration of multiple agents from sparse production log. CASE Satoshi Nagahara, Susumu Serita, Yuma Shiho, Shuai Zheng, Haiyan Wang, Takafumi Chida, Chetan Gupta
2020	Misc	`conf`	Trace Norm Generative Adversarial Networks for Sensor Generation and Feature Extraction. ICASSP Shuai Zheng, Chetan Gupta
2020	A*	`conf`	Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. NeurIPS Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe
2020	J	`jnl`	Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. CoRR Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe
2019	C	`conf`	Evaluation of Event Impact on Key Performance Indicators. ICMLA Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Chetan Gupta, Shuai Zheng
2019	—	`conf`	Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. ICPHM Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta
2019	—	`conf`	Generative Adversarial Networks for Failure Prediction. ECML/PKDD (3) Shuai Zheng, Ahmed K. Farahat, Chetan Gupta
2019	J	`jnl`	Generative Adversarial Networks for Failure Prediction. CoRR Shuai Zheng, Ahmed K. Farahat, Chetan Gupta
2019	—	`conf`	Manufacturing Dispatching Using Reinforcement and Transfer Learning. ECML/PKDD (3) Shuai Zheng, Chetan Gupta, Susumu Serita
2019	J	`jnl`	Manufacturing Dispatching using Reinforcement and Transfer Learning. CoRR Shuai Zheng, Chetan Gupta, Susumu Serita
2019	B	`conf`	Multilayer Perceptron for Sparse Functional Data. IJCNN Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Takashi Saeki, Chetan Gupta
2019	—	`conf`	Regularized Operating Envelope with Interpretability and Implementability Constraints. IEEE BigData Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita
2019	J	`jnl`	Regularized Operating Envelope with Interpretability and Implementability Constraints. CoRR Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita
2019	—	`conf`	Remaining Useful Life Estimation Using Functional Data Analysis. ICPHM Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta
2019	J	`jnl`	Remaining Useful Life Estimation Using Functional Data Analysis. CoRR Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta
2019	C	`conf`	Risk-Based Dynamic Pricing via Failure Prediction. ICMLA Chi Zhang, Chetan Gupta, Seiji Joichi, Ahmed K. Farahat, Huijuan Shao
2018	—	`conf`	Equipment Health Indicator Learning Using Deep Reinforcement Learning. ECML/PKDD (3) Chi Zhang, Chetan Gupta, Ahmed K. Farahat, Kosta Ristovski, Dipanjan Ghosh
2018	—	`conf`	Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. IEEE BigData Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta
2018	J	`jnl`	Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. CoRR Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta
2018	C	`conf`	What Maintenance is Worth the Money? A Data-Driven Answer. INDIN Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Hsiu-Khuern Tang, Susumu Serita, Chetan Gupta
2017	A*	`conf`	Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines. KDD Kosta Ristovski, Chetan Gupta, Kunihiko Harada, Hsiu-Khuern Tang
2017	—	`conf`	Long Short-Term Memory Network for Remaining Useful Life estimation. ICPHM Shuai Zheng, Kosta Ristovski, Ahmed K. Farahat, Chetan Gupta
2015	J	`jnl`	Forecasting spatiotemporal impact of traffic incidents for next-generation navigation systems. Knowl. Inf. Syst. Bei Pan, Ugur Demiryurek, Chetan Gupta, Cyrus Shahabi
2014	—	`conf`	An Approach to Benchmarking Industrial Big Data Applications. WBDB Umeshwar Dayal, Chetan Gupta, Ravigopal Vennelakanti, Marcos R. Vieira, Song Wang
2013	A*	`conf`	Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks. ICDM Bei Pan, Ugur Demiryurek, Cyrus Shahabi, Chetan Gupta
2013	B	`conf`	High-performance complex event processing using continuous sliding views. EDBT Medhabi Ray, Elke A. Rundensteiner, Mo Liu, Chetan Gupta, Song Wang, Ismail Ari
2012	J	`jnl`	A platform for situational awareness in operational BI. Decis. Support Syst. Malú Castellanos, Chetan Gupta, Song Wang, Umeshwar Dayal, Miguel Durazo
2012	—	`conf`	Event correlation for operations management of largescale IT systems. ICAC Chetan Gupta
2012	—	`conf`	Mining traffic incidents to forecast impact. UrbComp@KDD Mahalia Miller, Chetan Gupta
2012	A	`conf`	Of Cubes, DAGs and Hierarchical Correlations: A Novel Conceptual Model for Analyzing Social Media Data. ER Umeshwar Dayal, Chetan Gupta, Malú Castellanos, Song Wang, Manolo García-Solaco
2012	B	`conf`	Optimizing Flows for Real Time Operations Management. SSDBM Alkis Simitsis, Chetan Gupta, Kevin Wilkinson, Umeshwar Dayal
2012	—	`ed.`	Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2012, Redondo Beach, CA, USA, November 6, 2012 BigSpatial@SIGSPATIAL Varun Chandola, Ranga Raju Vatsavai, Chetan Gupta
2012	B	`conf`	Realtime healthcare services via nested complex event processing technology. EDBT Mo Liu, Medhabi Ray, Dazhi Zhang, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari
2011	Misc	`conf`	An Application of Sensor and Streaming Analytics to Oil Production. COMAD Krishnamurthy Viswanathan, Chetan Gupta, Choudur Lakshminarayan, Ming C. Hao, Umeshwar Dayal, Ravigopal Vennelakanti, Paul Helm, Sumitha Rangaiah, Harikrishnam-Raju Sagiraju, Sunil Doddmani
2011	—	`conf`	E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing. SIGMOD Conference Mo Liu, Elke A. Rundensteiner, Kara Greenfield, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta
2011	A*	`conf`	High-performance nested CEP query processing over event streams. ICDE Mo Liu, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta
2011	—	`conf`	Live BI: A Framework for Real Time Operations Management. DNIS Chetan Gupta, Umeshwar Dayal, Song Wang, Abhay Mehta
2011	—	`conf`	Optimizing complex sequence pattern extraction using caching. ICDE Workshops Medhabi Ray, Mo Liu, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Abhay Mehta, Ismail Ari
2010	A*	`conf`	E-Cube: Multi-dimensional event sequence processing using concept and pattern hierarchies. ICDE Mo Liu, Elke A. Rundensteiner, Kara Greenfield, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta
2010	—	`conf`	Information Extraction, Real-Time Processing and DW2.0 in Operational Business Intelligence. DNIS Malú Castellanos, Umeshwar Dayal, Song Wang, Chetan Gupta
2010	—	`conf`	Leveraging web streams for contractual situational awareness in operational BI. EDBT/ICDT Workshops Malú Castellanos, Chetan Gupta, Song Wang, Umeshwar Dayal
2010	—	`conf`	NEEL: The Nested Complex Event Language for Real-Time Event Analytics. BIRTE Mo Liu, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta
2010	A*	`conf`	Non-dyadic Haar wavelets for streaming and sensor data. ICDE Chetan Gupta, Choudur Lakshminarayan, Song Wang, Abhay Mehta
2010	—	`conf`	Partitioning real-time ETL workflows. ICDE Workshops Alkis Simitsis, Chetan Gupta, Song Wang, Umeshwar Dayal
2010	—	`conf`	Processing nested complex sequence pattern queries over event streams. DMSN Mo Liu, Medhabi Ray, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta
2010	—	`conf`	SIE-OBI: a streaming information extraction platform for operational business intelligence. SIGMOD Conference Malú Castellanos, Song Wang, Umeshwar Dayal, Chetan Gupta
2009	B	`conf`	CHAOS: A Data Stream Analysis Architecture for Enterprise Applications. CEC Chetan Gupta, Song Wang, Ismail Ari, Ming C. Hao, Umeshwar Dayal, Abhay Mehta, Manish Marwah, Ratnesh K. Sharma
2009	B	`conf`	Classification with Unknown Classes. SSDBM Chetan Gupta, Song Wang, Umeshwar Dayal, Abhay Mehta
2009	B	`conf`	Fair, effective, efficient and differentiated scheduling in an enterprise data warehouse. EDBT Chetan Gupta, Abhay Mehta, Song Wang, Umeshwar Dayal
2009	—	`conf`	VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans. BIRTE Song Wang, Chetan Gupta, Abhay Mehta
2009	A*	`conf`	rFEED: A Mixed Workload Scheduler for Enterprise Data Warehouses. ICDE Abhay Mehta, Chetan Gupta, Song Wang, Umeshwar Dayal
2008	J	`jnl`	Automatic Workload Management for Enterprise Data Warehouses. IEEE Data Eng. Bull. Abhay Mehta, Chetan Gupta, Song Wang, Umeshwar Dayal
2008	B	`conf`	BI batch manager: a system for managing batch workloads on enterprise data-warehouses. EDBT Abhay Mehta, Chetan Gupta, Umeshwar Dayal
2008	—	`conf`	PQR: Predicting Query Execution Times for Autonomous Workload Management. ICAC Chetan Gupta, Abhay Mehta, Umeshwar Dayal
2007	A*	`conf`	Outlier Detection with Streaming Dyadic Decomposition. ICDM Chetan Gupta, Robert L. Grossman
2004	A	`conf`	GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering. SDM Chetan Gupta, Robert L. Grossman