| 2024 | SDM | Feature-Engineered Random Forests. | Saket Sathe, Charu Aggarwal, Horst Samulowitz, Deepak S. Turaga |
| 2020 | ICDE | Pulse of the City: Spatio-Temporal Twitter Content Analysis. | Yunan Lu, William A. Kusmik, Deepak S. Turaga |
| 2018 | AAAI | Feature Engineering for Predictive Modeling Using Reinforcement Learning. | Udayan Khurana, Horst Samulowitz, Deepak S. Turaga |
| 2018 | AAAI | Dataset Evolver: An Interactive Feature Engineering Notebook. | Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga |
| 2018 | DSN | A Large-Scale System for Real-Time Glucose Monitoring. | Long H. Vu, Venkata N. Pavuluri, Yuan-Chi Chang, Deepak S. Turaga, Alex Zhong, Pratik Agrawal, Amit Singh, Boyi Jiang, Krishna Chirutha |
| 2017 | IJCAI | Learning Feature Engineering for Classification. | Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga |
| 2017 | KDD | REMIX: Automated Exploration for Interactive Outlier Detection. | Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong |
| 2017 | KDD | Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data. | Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga |
| 2017 | SDM | Outlier Detection with Autoencoder Ensembles. | Jinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga |
| 2017 | SDM | Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification. | Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga |
| 2016 | ICDM | Cognito: Automated Feature Engineering for Supervised Learning. | Udayan Khurana, Deepak S. Turaga, Horst Samulowitz, Srinivasan Parthasrathy |
| 2016 | ICIP | Adaptive data augmentation for image classification. | Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard |
| 2015 | AAAI | Online Transfer Learning for Differential Diagnosis Determination. | Jie Xu, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar |
| 2015 | AAAI | Budgeted Prediction with Expert Advice. | Kareem Amin, Satyen Kale, Gerald Tesauro, Deepak S. Turaga |
| 2015 | AAAI | Towards Cognitive Automation of Data Science. | Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga |
| 2015 | KDD | State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness. | Guo-Jun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno |
| 2015 | WWW | Temporal Multi-View Inconsistency Detection for Network Traffic Analysis. | Houping Xiao, Jing Gao, Deepak S. Turaga, Long H. Vu, Alain Biem |
| 2015 | SDM | Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. | Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga |
| 2014 | EDBT | READ: Rapid data Exploration, Analysis and Discovery. | Udayan Khurana, Srinivasan Parthasarathy, Deepak S. Turaga |
| 2014 | KDD | FAQ: A Framework for Fast Approximate Query Processing on Temporal Data. | Udayan Khurana, Srinivasan Parthasarathy, Deepak S. Turaga |
| 2014 | KDD | Class-distribution regularized consensus maximization for alleviating overfitting in model combination. | Sihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu |
| 2014 | SIGMETRICS | Impact of DHCP churn on network characterization. | Long H. Vu, Deepak S. Turaga, Srinivasan Parthasarathy |
| 2012 | SDM | Cluster-Aware Compression with Provable K-means Preservation. | Nikolaos M. Freris, Michail Vlachos, Deepak S. Turaga |
| 2011 | ICDM | A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships. | Jing Gao, Wei Fan, Deepak S. Turaga, Srinivasan Parthasarathy, Jiawei Han |
| 2011 | INFOCOM | Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection. | Jing Gao, Wei Fan, Deepak S. Turaga, Olivier Verscheure, Xiaoqiao Meng, Lu Su, Jiawei Han |
| 2010 | ICASSP | A streaming approach to radio astronomy imaging. | Alain Biem, Bruce G. Elmegreen, Olivier Verscheure, Deepak S. Turaga, Henrique Andrade, Tim Cornwell |
| 2010 | ICDM | Adaptive Multimedia Mining on Distributed Stream Processing Systems. | Deepak S. Turaga, Hyunggon Park, Rong Yan, Olivier Verscheure |
| 2010 | ICIP | Ordering of stream mining classifiers. | Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar |
| 2009 | ICASSP | Direction of Arrival estimation using single tripole radio antenna. | Lars K. S. Daldorff, Deepak S. Turaga, Olivier Verscheure, Alain Biem |
| 2009 | ICASSP | A framework for distributed multimedia stream mining systems using coalition-based foresighted strategies. | Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar |
| 2009 | ICASSP | Tree configuration games for distributed stream mining systems. | Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar |
| 2009 | ICDM | On K-Means Cluster Preservation Using Quantization Schemes. | Deepak S. Turaga, Michail Vlachos, Olivier Verscheure |
| 2009 | KDD | Cross domain distribution adaptation via kernel mapping. | Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure |
| 2008 | INFOCOM | Towards Optimal Resource Allocation in Partial-Fault Tolerant Applications. | Nikhil Bansal, Ranjita Bhagwan, Navendu Jain, Yoonho Park, Deepak S. Turaga, Chitra Venkatramani |
| 2007 | ICASSP | Configuring Networked Classifiers in Distributed and Resource Constrained Stream Processing Systems. | Fangwen Fu, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini |
| 2007 | Interspeech | Optimized one-bit quantization for adapted GMM-based speaker verification. | Ivy H. Tseng, Olivier Verscheure, Deepak S. Turaga, Upendra V. Chaudhari |
| 2006 | EDBT | Resource Adaptive Periodicity Estimation of Streaming Data. | Michail Vlachos, Deepak S. Turaga, Philip S. Yu |
| 2006 | GLOBECOM | QoS Support for Streaming Media using a Multimedia Server Cluster. | Krishna Ratakonda, Deepak S. Turaga, Junwen Lai |
| 2006 | ICASSP | QUANTization for Adapted GMM-Based Speaker Verification. | Ivy H. Tseng, Olivier Verscheure, Deepak S. Turaga, Upendra V. Chaudhari |
| 2006 | ICASSP | Slide: Streaming and Load-Adaptive Periodicity Estimation. | Deepak S. Turaga, Michail Vlachos, Spiros Papadimitriou, Philip S. Yu |
| 2006 | ICDM | Resource Management for Networked Classifiers in Distributed Stream Mining Systems. | Deepak S. Turaga, Olivier Verscheure, Upendra V. Chaudhari, Lisa Amini |
| 2006 | ICIP | Collaborative Resource Management for Video Over Wireless Multi-Hop Mesh Networks. | Nicholas Mastronarde, Deepak S. Turaga, Mihaela van der Schaar |
| 2005 | ICIP | Cross-layer aware packetization strategies for optimized wireless multimedia transmission. | Deepak S. Turaga, Mihaela van der Schaar |
| 2004 | ICIP | Rate-distortion-complexity adaptive video compression and streaming. | Mihaela van der Schaar, Deepak S. Turaga, Venkatesh Akella |
| 2003 | ICASSP | Unconstrained motion compensated temporal filtering (UMCTF) framework for wavelet video coding. | Mihaela van der Schaar, Deepak S. Turaga |
| 2003 | ICASSP | Content-adaptive filtering in the UMCTF framework. | Deepak S. Turaga, Mihaela van der Schaar |
| 2003 | ICIP | Multiple description scalable coding using wavelet-based motion compensated temporal filtering. | Deepak S. Turaga, Mihaela van der Schaar |
| 2003 | ICIP | Temporal prediction and differential coding of motion vectors in the MCTF framework. | Deepak S. Turaga, Mihaela van der Schaar, Batrice Pesquet-Popescu |
| 2002 | ICIP | Face recognition using mixtures of principal components. | Deepak S. Turaga, Tsuhan Chen |
| 2002 | ICIP | No reference PSNR estimation for compressed pictures. | Deepak S. Turaga, Yingwei Chen, Jorge E. Caviedes |
| 2001 | ICIP | I/P frame selection using classification based mode decision. | Deepak S. Turaga, Tsuhan Chen |
| 2000 | ISCAS | Modeling of dynamic video traffic. | Deepak S. Turaga, Tsuhan Chen |