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2020 – today
- 2020
[j9]San Gultekin
, Avishek Saha, Adwait Ratnaparkhi, John W. Paisley:
MBA: Mini-Batch AUC Optimization. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5561-5574 (2020)
2010 – 2019
- 2018
- [j8]Avishek Saha, Young-Woon Lee, Young-Sup Hwang, Kostas E. Psannis, Byung-Gyu Kim:
Context-aware block-based motion estimation algorithm for multimedia internet of things (IoT) platform. Pers. Ubiquitous Comput. 22(1): 163-172 (2018) - [j7]Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang:
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. 30(7): 1352-1365 (2018) - [i5]San Gultekin, Avishek Saha, Adwait Ratnaparkhi, John W. Paisley:
MBA: Mini-Batch AUC Optimization. CoRR abs/1805.11221 (2018) - 2016
- [j6]Bo Wang, Marcel Prastawa, Andrei Irimia, Avishek Saha, Wei Liu, Sheng-Yang M. Goh, Paul M. Vespa, John D. Van Horn, Guido Gerig:
Modeling 4D pathological changes by leveraging normative models. Comput. Vis. Image Underst. 151: 3-13 (2016) - [c13]Gwang-Soo Hong, Min-Su Koo, Avishek Saha, Byung-Gyu Kim:
Efficient local stereo matching technique using weighted guided image filtering (WGIF). ICCE 2016: 484-485 - 2015
- [j5]Peer-Timo Bremer, Dan Maljovec, Avishek Saha, Bei Wang, Jim Gaffney, Brian K. Spears, Valerio Pascucci:
ND2AV: N-dimensional data analysis and visualization analysis for the National Ignition Campaign. Comput. Vis. Sci. 17(1): 1-18 (2015) - 2014
- [c12]John Moeller, Parasaran Raman, Suresh Venkatasubramanian, Avishek Saha:
A Geometric Algorithm for Scalable Multiple Kernel Learning. AISTATS 2014: 633-642 - [i4]Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang:
N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. CoRR abs/1411.2331 (2014) - 2013
- [c11]Bo Wang, Marcel Prastawa, Avishek Saha, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Valerio Pascucci, Guido Gerig:
Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database. MBIA 2013: 31-39 - [c10]Sidharth Kumar, Avishek Saha, Venkatram Vishwanath, Philip H. Carns, John A. Schmidt, Giorgio Scorzelli, Hemanth Kolla, Ray W. Grout, Robert Latham, Robert B. Ross, Michael E. Papka, Jacqueline Chen, Valerio Pascucci:
Characterization and modeling of PIDX parallel I/O for performance optimization. SC 2013: 67:1-67:12 - 2012
- [b1]Avishek Saha:
Some Models and Measures for Learning on a Budget. University of Utah, USA, 2012 - [c9]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Efficient Protocols for Distributed Classification and Optimization. ALT 2012: 154-168 - [c8]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Protocols for Learning Classifiers on Distributed Data. AISTATS 2012: 282-290 - [i3]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Protocols for Learning Classifiers on Distributed Data. CoRR abs/1202.6078 (2012) - [i2]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Efficient Protocols for Distributed Classification and Optimization. CoRR abs/1204.3523 (2012) - [i1]John Moeller, Parasaran Raman, Avishek Saha, Suresh Venkatasubramanian:
Fast Multiple Kernel Learning With Multiplicative Weight Updates. CoRR abs/1206.5580 (2012) - 2011
- [j4]Avishek Saha, Jayanta Mukherjee, Shamik Sural:
A neighborhood elimination approach for block matching in motion estimation. Signal Process. Image Commun. 26(8-9): 438-454 (2011) - [c7]Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, Scott L. DuVall:
Active Supervised Domain Adaptation. ECML/PKDD (3) 2011: 97-112 - [c6]Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian:
Online Learning of Multiple Tasks and Their Relationships. AISTATS 2011: 643-651 - 2010
- [c5]Hal Daumé III, Abhishek Kumar, Avishek Saha:
Co-regularization Based Semi-supervised Domain Adaptation. NIPS 2010: 478-486
2000 – 2009
- 2009
- [j3]Lukasz Golab, Howard J. Karloff, Flip Korn, Avishek Saha, Divesh Srivastava:
Sequential Dependencies. Proc. VLDB Endow. 2(1): 574-585 (2009) - [c4]Nick Koudas, Avishek Saha, Divesh Srivastava, Suresh Venkatasubramanian:
Metric Functional Dependencies. ICDE 2009: 1275-1278 - 2008
- [j2]Avishek Saha, Jayanta Mukherjee, Shamik Sural:
New pixel-decimation patterns for block matching in motion estimation. Signal Process. Image Commun. 23(10): 725-738 (2008) - 2007
- [j1]Avishek Saha, Kallol Mallick, Jayanta Mukherjee, Shamik Sural:
SKIP Prediction for Fast Rate Distortion Optimization in H.264. IEEE Trans. Consumer Electron. 53(3): 1153-1160 (2007) - [c3]Avishek Saha, Santosh Ghosh:
A Speed-Area Optimization of Full Search Block Matching Hardware with Applications in High-Definition TVs (HDTV). HiPC 2007: 83-94 - [c2]Santosh Ghosh, Avishek Saha:
Speed-area optimized FPGA implementation for Full Search Block Matching. ICCD 2007: 13-18 - [c1]Avishek Saha, Santosh Ghosh, Shamik Sural, Jayanta Mukherjee:
Toward Memory-efficient Design of Video Encoders for Multimedia Applications. ISVLSI 2007: 453-454
Coauthor Index
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