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ORCIDEvgeniy Bart
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2010 – 2019
- 2019
[j8]Evgeniy Bart, Jay Hegdé:
Editorial: Deep Learning in Biological, Computer, and Neuromorphic Systems. Frontiers Comput. Neurosci. 13: 11 (2019)- [c16]Jay Hegdé, Evgeniy Bart:
Do different radiologists perceive medical images the same way? Some insights from Representational Similarity Analysis. HVEI 2019 - 2018
- [j7]Evgeniy Bart, Jay Hegdé:
Deep Synthesis of Realistic Medical Images: A Novel Tool in Clinical Research and Training. Frontiers Neuroinformatics 12: 82 (2018) - 2015
- [c15]Evgeniy Bart, Bob Price, John Hanley:
Temporally Coherent Role-Topic Models (TCRTM): Deinterlacing Overlapping Activity Patterns. ECML/PKDD (2) 2015: 390-405 - 2013
- [c14]Evgeniy Bart, Rui Zhang, Muzammil Hussain:
Where Would You Go this Weekend? Time-Dependent Prediction of User Activity Using Social Network Data. ICWSM 2013 - [c13]Hoda Eldardiry
, Evgeniy Bart, Juan Liu, John Hanley, Bob Price, Oliver Brdiczka:
Multi-Domain Information Fusion for Insider Threat Detection. IEEE Symposium on Security and Privacy Workshops 2013: 45-51 - 2012
- [j6]Evgeniy Bart, Jay Hegdé:
Invariant object recognition based on extended fragments. Frontiers Comput. Neurosci. 6: 56 (2012) - [j5]Evgeniy Bart, Jay Hegdé:
Invariant Recognition of Visual Objects: Some Emerging Computational Principles. Frontiers Comput. Neurosci. 6: 60 (2012) - [c12]Evgeniy Bart:
Parsing Tables by Probabilistic Modeling of Perceptual Cues. Document Analysis Systems 2012: 409-414 - [c11]Kandan Ramakrishnan, Evgeniy Bart:
Learning Domain-Specific Feature Descriptors for Document Images. Document Analysis Systems 2012: 415-418 - 2011
- [j4]Evgeniy Bart, Max Welling, Pietro Perona:
Unsupervised Organization of Image Collections: Taxonomies and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2302-2315 (2011) - [c10]Evgeniy Bart:
Improving Performance of Topic Models by Variable Grouping. IJCAI 2011: 1178-1185 - 2010
- [c9]Evgeniy Bart, Prateek Sarkar:
Information extraction by finding repeated structure. Document Analysis Systems 2010: 175-182
2000 – 2009
- 2008
- [j3]Evgeniy Bart, Shimon Ullman:
Class-Based Feature Matching Across Unrestricted Transformations. IEEE Trans. Pattern Anal. Mach. Intell. 30(9): 1618-1631 (2008) - [c8]Ian Porteous, Evgeniy Bart, Max Welling:
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization. AAAI 2008: 1487-1490 - [c7]Evgeniy Bart, Ian Porteous, Pietro Perona, Max Welling:
Unsupervised learning of visual taxonomies. CVPR 2008 - 2007
- [c6]Max Welling, Ian Porteous, Evgeniy Bart:
Infinite State Bayes-Nets for Structured Domains. NIPS 2007: 1601-1608 - 2005
- [j2]Evgeniy Bart, Shaowen Bao, David Holcman:
Modeling the Spontaneous Activity of the Auditory Cortex. J. Comput. Neurosci. 19(3): 357-378 (2005) - [c5]Evgeniy Bart, Shimon Ullman:
Single-example Learning of Novel Classes using Representation by Similarity. BMVC 2005 - [c4]Evgeniy Bart, Shimon Ullman:
Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement. CVPR (1) 2005: 672-679 - 2004
- [j1]Shimon Ullman, Evgeniy Bart:
Recognition invariance obtained by extended and invariant features. Neural Networks 17(5-6): 833-848 (2004) - [c3]Evgeniy Bart, Shimon Ullman:
Image normalization by mutual information. BMVC 2004: 1-10 - [c2]Evgeniy Bart, Shimon Ullman:
Class-Based Matching of Object Parts. CVPR Workshops 2004: 173 - [c1]Evgeniy Bart, Evgeny Byvatov, Shimon Ullman:
View-Invariant Recognition Using Corresponding Object Fragments. ECCV (2) 2004: 152-165
Coauthor Index
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