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ORCIDDeepak S. Turaga
2020 – today
- 2024
[c74]Saket Sathe, Charu Aggarwal, Horst Samulowitz, Deepak S. Turaga:
Feature-Engineered Random Forests. SDM 2024: 100-108- 2020
- [c73]Yunan Lu, William A. Kusmik, Deepak S. Turaga:
Pulse of the City: Spatio-Temporal Twitter Content Analysis. ICDE Workshops 2020: 33-39
2010 – 2019
- 2018
- [j24]Deepak S. Turaga:
Introduction to the Interfaces Special Issue: Applications of Analytics and Operations Research in Big Data Analysis. Interfaces 48(2): 93 (2018) - [c72]Udayan Khurana, Horst Samulowitz, Deepak S. Turaga:
Feature Engineering for Predictive Modeling Using Reinforcement Learning. AAAI 2018: 3407-3414 - [c71]Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga:
Dataset Evolver: An Interactive Feature Engineering Notebook. AAAI 2018: 8212-8213 - [c70]Long H. Vu, Venkata N. Pavuluri, Yuan-Chi Chang, Deepak S. Turaga, Alex Zhong, Pratik Agrawal, Amit Singh, Boyi Jiang, Krishna Chirutha:
A Large-Scale System for Real-Time Glucose Monitoring. DSN Workshops 2018: 34-37 - [r1]Deepak S. Turaga:
Streaming Analytics. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [c69]Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil
, Deepak S. Turaga:
Learning Feature Engineering for Classification. IJCAI 2017: 2529-2535 - [c68]Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong:
REMIX: Automated Exploration for Interactive Outlier Detection. KDD 2017: 827-835 - [c67]Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga:
Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data. KDD 2017: 2081-2089 - [c66]Jinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga:
Outlier Detection with Autoencoder Ensembles. SDM 2017: 90-98 - [c65]Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga:
Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification. SDM 2017: 117-125 - [i2]Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong:
REMIX: Automated Exploration for Interactive Outlier Detection. CoRR abs/1705.05986 (2017) - [i1]Udayan Khurana, Horst Samulowitz, Deepak S. Turaga:
Feature Engineering for Predictive Modeling using Reinforcement Learning. CoRR abs/1709.07150 (2017) - 2016
- [j23]Long H. Vu, Phuong Nguyen, Deepak S. Turaga:
Firstfilter: A cost-sensitive approach to malicious URL detection in large-scale enterprise networks. IBM J. Res. Dev. 60(4): 4 (2016) - [j22]Udayan Khurana, Srinivasan Parthasarathy, Deepak S. Turaga:
Graph-based Exploration of Non-graph Datasets. Proc. VLDB Endow. 9(13): 1557-1560 (2016) - [c64]Udayan Khurana, Deepak S. Turaga, Horst Samulowitz, Srinivasan Parthasrathy:
Cognito: Automated Feature Engineering for Supervised Learning. ICDM Workshops 2016: 1304-1307 - [c63]Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard:
Adaptive data augmentation for image classification. ICIP 2016: 3688-3692 - [c62]Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard:
Image inpainting through neural networks hallucinations. IVMSP 2016: 1-5 - 2015
- [c61]Jie Xu, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar:
Online Transfer Learning for Differential Diagnosis Determination. AAAI Workshop: WWW and Public Health Intelligence 2015 - [c60]Kareem Amin, Satyen Kale, Gerald Tesauro, Deepak S. Turaga:
Budgeted Prediction with Expert Advice. AAAI 2015: 2490-2496 - [c59]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:
Towards Cognitive Automation of Data Science. AAAI 2015: 4268-4269 - [c58]Anton V. Riabov, Shirin Sohrabi, Daby M. Sow, Deepak S. Turaga, Octavian Udrea, Long H. Vu:
Planning-Based Reasoning for Automated Large-Scale Data Analysis. ICAPS 2015: 282-290 - [c57]Guo-Jun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno:
State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness. KDD 2015: 945-954 - [c56]Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga:
Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. SDM 2015: 397-405 - [c55]Fatemeh Nargesian, Alain Biem, Prateek Jain, Srinivasan Parthasarathy, Deepak S. Turaga:
SOFIA: An Analytics Recommendation System. ISWC (Posters & Demos) 2015 - [c54]Houping Xiao, Jing Gao, Deepak S. Turaga, Long H. Vu, Alain Biem:
Temporal Multi-View Inconsistency Detection for Network Traffic Analysis. WWW (Companion Volume) 2015: 455-465 - [p2]Daby M. Sow, Kiran K. Turaga, Deepak S. Turaga, J. Michael Schmidt:
Mining of Sensor Data in Healthcare: A Survey. Healthcare Data Analytics 2015: 91-125 - 2014
- [j21]Yu Zhang, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar:
A fast online learning algorithm for distributed mining of BigData. SIGMETRICS Perform. Evaluation Rev. 41(4): 90-93 (2014) - [c53]Udayan Khurana, Srinivasan Parthasarathy, Deepak S. Turaga:
READ: Rapid data Exploration, Analysis and Discovery. EDBT 2014: 612-615 - [c52]Peter D. Kirchner, Matthias Böhm, Berthold Reinwald, Daby M. Sow, J. Michael Schmidt, Deepak S. Turaga, Alain Biem:
Large Scale Discriminative Metric Learning. IPDPS Workshops 2014: 1656-1663 - [c51]Udayan Khurana, Srinivasan Parthasarathy, Deepak S. Turaga:
FAQ: A Framework for Fast Approximate Query Processing on Temporal Data. BigMine 2014: 29-45 - [c50]Sihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu:
Class-distribution regularized consensus maximization for alleviating overfitting in model combination. KDD 2014: 303-312 - [c49]Long H. Vu, Deepak S. Turaga, Srinivasan Parthasarathy:
Impact of DHCP churn on network characterization. SIGMETRICS 2014: 587-588 - 2013
- [j20]Alain Biem, Hanhua Feng, Anton Riabov, Deepak S. Turaga:
Real-time analysis and management of big time-series data. IBM J. Res. Dev. 57(3/4): 8 (2013) - [c48]Alina Beygelzimer, Anton Riabov, Daby M. Sow, Deepak S. Turaga, Octavian Udrea:
Big Data Exploration Via Automated Orchestration of Analytic Workflows. ICAC 2013: 153-158 - [p1]Daby M. Sow, Deepak S. Turaga, J. Michael Schmidt:
Mining of Sensor Data in Healthcare: A Survey. Managing and Mining Sensor Data 2013: 459-504 - 2012
- [c47]Eric Bouillet, Ravi Kothari, Vibhore Kumar, Laurent Mignet, Senthil Nathan, Anand Ranganathan, Deepak S. Turaga, Octavian Udrea, Olivier Verscheure:
Processing 6 billion CDRs/day: from research to production (experience report). DEBS 2012: 264-267 - [c46]Nikolaos M. Freris, Michail Vlachos, Deepak S. Turaga:
Cluster-Aware Compression with Provable K-means Preservation. SDM 2012: 82-93 - 2011
- [j19]Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar:
Foresighted tree configuration games in resource constrained distributed stream mining sensors. Ad Hoc Networks 9(4): 497-513 (2011) - [j18]Brian Foo, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini:
Configuring Trees of Classifiers in Distributed Multimedia Stream Mining Systems. IEEE Trans. Circuits Syst. Video Technol. 21(3): 245-258 (2011) - [c45]Jing Gao, Wei Fan, Deepak S. Turaga, Srinivasan Parthasarathy, Jiawei Han:
A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships. ICDM 2011: 1050-1055 - [c44]Jing Gao, Wei Fan, Deepak S. Turaga, Olivier Verscheure, Xiaoqiao Meng, Lu Su, Jiawei Han:
Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection. INFOCOM 2011: 181-185 - 2010
- [j17]Mohammad Shikh-Bahaei, Hyunggon Park, Dilip Krishnaswamy, Deepak S. Turaga:
Adaptive Cross-Layer Strategies for Fourth Generation Wireless Communications. EURASIP J. Wirel. Commun. Netw. 2010 (2010) - [j16]Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar:
Adaptive Topologic Optimization for Large-Scale Stream Mining. IEEE J. Sel. Top. Signal Process. 4(3): 620-636 (2010) - [j15]Deepak S. Turaga, Henrique Andrade, Bugra Gedik, Chitra Venkatramani, Olivier Verscheure, Jeffrey David Harris, John Cox, William Szewczyk, Paul Jones:
Design principles for developing stream processing applications. Softw. Pract. Exp. 40(12): 1073-1104 (2010) - [c43]Alain Biem, Bruce G. Elmegreen, Olivier Verscheure, Deepak S. Turaga, Henrique Andrade, Tim Cornwell:
A streaming approach to radio astronomy imaging. ICASSP 2010: 1654-1657 - [c42]Deepak S. Turaga, Hyunggon Park, Rong Yan, Olivier Verscheure:
Adaptive Multimedia Mining on Distributed Stream Processing Systems. ICDM Workshops 2010: 1419-1422 - [c41]Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar:
Ordering of stream mining classifiers. ICIP 2010: 3177-3180 - [c40]Scott Pakin, Craig B. Stunkel, José Flich, Henrique Andrade, Vibhore Kumar, Deepak S. Turaga:
Welcome to CAC/SSPS 2010. IPDPS Workshops 2010: 1 - [c39]Manoj K. Garg, Duk-Jin Kim, Deepak S. Turaga, Balakrishnan Prabhakaran:
Multimodal analysis of body sensor network data streams for real-time healthcare. Multimedia Information Retrieval 2010: 469-478 - [c38]Deepak S. Turaga, Mihaela van der Schaar:
Designing and optimizing large-scale multimedia mining applications in distributed processing environments. ACM Multimedia 2010: 1787-1788
2000 – 2009
- 2009
- [c37]Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar:
A framework for distributed multimedia stream mining systems using coalition-based foresighted strategies. ICASSP 2009: 1585-1588 - [c36]Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar:
Tree configuration games for distributed stream mining systems. ICASSP 2009: 1773-1776 - [c35]Lars K. S. Daldorff, Deepak S. Turaga, Olivier Verscheure, Alain Biem:
Direction of Arrival estimation using single tripole radio antenna. ICASSP 2009: 2149-2152 - [c34]Deepak S. Turaga, Michail Vlachos, Olivier Verscheure:
On K-Means Cluster Preservation Using Quantization Schemes. ICDM 2009: 533-542 - [c33]Deepak S. Turaga, Rong Yan:
Resource-adaptive semantic concept detection using ensemble classifiers. ICME 2009: 410-413 - [c32]Deepak S. Turaga, Rong Yan, Olivier Verscheure, Brian Foo, Fangwen Fu, Hyunggon Park, Mihaela van der Schaar:
Resource-adaptive multimedia analysis on stream mining systems. ICME 2009: 1584-1585 - [c31]Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure:
Cross domain distribution adaptation via kernel mapping. KDD 2009: 1027-1036 - [c30]Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar:
Topology selection for stream mining systems. LS-MMRM@ACM Multimedia 2009: 113-120 - 2008
- [j14]Chia-Wen Lin, Enrico Magli, Deepak S. Turaga, Pascal Frossard:
Special issue on resource-aware adaptive video streaming. J. Vis. Commun. Image Represent. 19(8): 471-472 (2008) - [j13]Brian Foo, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini:
Resource Constrained Stream Mining With Classifier Tree Topologies. IEEE Signal Process. Lett. 15: 761-764 (2008) - [j12]Mihaela van der Schaar, Deepak S. Turaga, Ritesh Sood:
Stochastic Optimization for Content Sharing in P2P Systems. IEEE Trans. Multim. 10(1): 132-144 (2008) - [c29]Deepak S. Turaga, Olivier Verscheure, Daby M. Sow, Lisa Amini:
Adaptative Signal Sampling and Sample Quantization for Resource-Constrained Stream Processing. BIOSIGNALS (2) 2008: 96-103 - [c28]Nikhil Bansal, Ranjita Bhagwan, Navendu Jain, Yoonho Park, Deepak S. Turaga, Chitra Venkatramani:
Towards Optimal Resource Allocation in Partial-Fault Tolerant Applications. INFOCOM 2008: 1319-1327 - [c27]Deepak S. Turaga, Brian Foo, Olivier Verscheure, Rong Yan:
Configuring topologies of distributed semantic concept classifiers for continuous multimedia stream processing. ACM Multimedia 2008: 289-298 - 2007
- [j11]Nicholas Mastronarde, Deepak S. Turaga, Mihaela van der Schaar:
Collaborative resource exchanges for peer-to-peer video streaming over wireless mesh networks. IEEE J. Sel. Areas Commun. 25(1): 108-118 (2007) - [j10]Fangwen Fu, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini:
Configuring Competing Classifier Chains in Distributed Stream Mining Systems. J. Sel. Topics Signal Processing 1(4): 548-563 (2007) - [j9]Mihaela van der Schaar, Deepak S. Turaga:
Cross-Layer Packetization and Retransmission Strategies for Delay-Sensitive Wireless Multimedia Transmission. IEEE Trans. Multim. 9(1): 185-197 (2007) - [c26]Fangwen Fu, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini:
Configuring Networked Classifiers in Distributed and Resource Constrained Stream Processing Systems. ICASSP (3) 2007: 1085-1088 - [c25]Ivy H. Tseng, Olivier Verscheure, Deepak S. Turaga, Upendra V. Chaudhari:
Optimized one-bit quantization for adapted GMM-based speaker verification. INTERSPEECH 2007: 786-789 - 2006
- [b1]Mihaela van der Schaar, Deepak S. Turaga, Thomas Stockhammer:
MPEG-4 Beyond Conventional Video Coding: Object Coding, Resilience, and Scalability. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2006, ISBN 978-3-031-01111-5 - [j8]Mihaela van der Schaar, Deepak S. Turaga, Raymond Wong:
Classification-Based System For Cross-Layer Optimized Wireless Video Transmission. IEEE Trans. Multim. 8(5): 1082-1095 (2006) - [c24]Deepak S. Turaga, Krishna Ratakonda, Junwen Lai:
QoS Support for Media Broadcast in a Services Oriented Architecture. IEEE SCC 2006: 127-134 - [c23]Michail Vlachos, Deepak S. Turaga, Philip S. Yu:
Resource Adaptive Periodicity Estimation of Streaming Data. EDBT 2006: 23-40 - [c22]Krishna Ratakonda, Deepak S. Turaga, Junwen Lai:
QoS Support for Streaming Media using a Multimedia Server Cluster. GLOBECOM 2006 - [c21]Ivy H. Tseng, Olivier Verscheure, Deepak S. Turaga, Upendra V. Chaudhari:
QUANTization for Adapted GMM-Based Speaker Verification. ICASSP (1) 2006: 653-656 - [c20]Deepak S. Turaga, Michail Vlachos, Spiros Papadimitriou, Philip S. Yu:
Slide: Streaming and Load-Adaptive Periodicity Estimation. ICASSP (3) 2006: 1000-1003 - [c19]Deepak S. Turaga, Olivier Verscheure, Upendra V. Chaudhari, Lisa Amini:
Resource Management for Networked Classifiers in Distributed Stream Mining Systems. ICDM 2006: 1102-1107 - [c18]Nicholas Mastronarde, Deepak S. Turaga, Mihaela van der Schaar:
Collaborative Resource Management for Video Over Wireless Multi-Hop Mesh Networks. ICIP 2006: 1297-1300 - 2005
- [j7]Deepak S. Turaga, Mihaela van der Schaar, Yiannis Andreopoulos, Adrian Munteanu, Peter Schelkens:
Unconstrained motion compensated temporal filtering (UMCTF) for efficient and flexible interframe wavelet video coding. Signal Process. Image Commun. 20(1): 1-19 (2005) - [j6]Deepak S. Turaga, Mihaela van der Schaar, Béatrice Pesquet-Popescu:
Complexity scalable motion compensated wavelet video encoding. IEEE Trans. Circuits Syst. Video Technol. 15(8): 982-993 (2005) - [c17]Deepak S. Turaga, Mihaela van der Schaar:
Cross-layer aware packetization strategies for optimized wireless multimedia transmission. ICIP (1) 2005: 777-780 - [c16]Deepak S. Turaga, Mihaela van der Schaar, Krishna Ratakonda:
Enterprise multimedia streaming: issues, background and new developments. ICME 2005: 956-961 - [c15]Deepak S. Turaga, Ahmed Abd El Al, Chitra Venkatramani, Olivier Verscheure:
Adaptive Live Streaming Over Enterprise Networks. ICME 2005: 974-979 - [c14]Raymond S. Wong, Mihaela van der Schaar, Deepak S. Turaga:
Optimized wireless video transmission using classification. ICME 2005: 992-995 - 2004
- [j5]Deepak S. Turaga, Yingwei Chen, Jorge E. Caviedes:
No reference PSNR estimation for compressed pictures. Signal Process. Image Commun. 19(2): 173-184 (2004) - [c13]Mihaela van der Schaar, Deepak S. Turaga, Venkatesh Akella:
Rate-distortion-complexity adaptive video compression and streaming. ICIP 2004: 2051-2054 - 2003
- [j4]Deepak S. Turaga, Tsuhan Chen:
On Probability Density for Modeling Video Traffic. J. VLSI Signal Process. 34(1-2): 111-124 (2003) - [c12]Mihaela van der Schaar, Deepak S. Turaga:
Unconstrained motion compensated temporal filtering (UMCTF) framework for wavelet video coding. ICASSP (3) 2003: 81-84 - [c11]Deepak S. Turaga, Mihaela van der Schaar:
Content-adaptive filtering in the UMCTF framework. ICASSP (3) 2003: 621-624 - [c10]Deepak S. Turaga, Mihaela van der Schaar, Béatrice Pesquet-Popescu:
Temporal prediction and differential coding of motion vectors in the MCTF framework. ICIP (2) 2003: 57-60 - [c9]Deepak S. Turaga, Mihaela van der Schaar:
Multiple description scalable coding using wavelet-based motion compensated temporal filtering. ICIP (3) 2003: 489-492 - [c8]Deepak S. Turaga, Mihaela van der Schaar:
Reduced complexity spatio-temporal scalable motion compensated wavelet video encoding. ICME 2003: 561-564 - [c7]Mihaela van der Schaar, Deepak S. Turaga:
Unconstrained motion compensated temporal filtering (UMCTF) framework for wavelet video coding. ICME 2003: 581-584 - [c6]Deepak S. Turaga, Mihaela van der Schaar:
Content-adaptive filtering in the UMCTF framework. ICME 2003: 821-824 - 2002
- [j3]Deepak S. Turaga, Tsuhan Chen:
Model-based error concealment for wireless video. IEEE Trans. Circuits Syst. Video Technol. 12(6): 483-495 (2002) - [c5]Deepak S. Turaga, Yingwei Chen, Jorge E. Caviedes:
No reference PSNR estimation for compressed pictures. ICIP (3) 2002: 61-64 - [c4]Deepak S. Turaga, Tsuhan Chen:
Face recognition using mixtures of principal components. ICIP (2) 2002: 101-104 - 2001
- [j2]Deepak S. Turaga, Tsuhan Chen:
Estimation and mode decision for spatially correlated motion sequences. IEEE Trans. Circuits Syst. Video Technol. 11(10): 1098-1107 (2001) - [j1]Deepak S. Turaga, Tsuhan Chen:
Classification based mode decisions for video over network. IEEE Trans. Multim. 3(1): 41-52 (2001) - [c3]Deepak S. Turaga, Tsuhan Chen:
I/P frame selection using classification based mode decision. ICIP (3) 2001: 550-553 - 2000
- [c2]Deepak S. Turaga, Tsuhan Chen:
Activity-Adaptive Modeling of Dynamic Multimedia Traffic. IEEE International Conference on Multimedia and Expo (III) 2000: 1305-1308 - [c1]Deepak S. Turaga, Tsuhan Chen:
Modeling of dynamic video traffic. ISCAS 2000: 293-296
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