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2020 – today
- 2024
[c22]Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal, Donald Geman:
Performance Bounds for Active Binary Testing with Information Maximization. ICML 2024- 2023
- [j36]Aditya Chattopadhyay
, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman:
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7430-7443 (2023) - [c21]Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, René Vidal:
Variational Information Pursuit for Interpretable Predictions. ICLR 2023 - [i3]Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D. Haeffele, Donald Geman, René Vidal:
Variational Information Pursuit for Interpretable Predictions. CoRR abs/2302.02876 (2023) - 2022
- [i2]Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman:
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. CoRR abs/2207.00938 (2022) - 2021
- [j35]Qian Ke, Wikum Dinalankara, Laurent Younes, Donald Geman, Luigi Marchionni:
Efficient representations of tumor diversity with paired DNA-RNA aberrations. PLoS Comput. Biol. 17(6) (2021) - [j34]Yuchun Fang, Zhengye Xiao, Wei Zhang, Yan Huang, Liang Wang, Nozha Boujemaa, Donald Geman:
Attribute Prototype Learning for Interactive Face Retrieval. IEEE Trans. Inf. Forensics Secur. 16: 2593-2607 (2021) - 2020
- [c20]Neil Hallonquist, Donald Geman, Laurent Younes:
Graph Discovery for Visual Test Generation. ICPR 2020: 7500-7507
2010 – 2019
- 2018
- [j33]Bahman Afsari, Theresa Guo, Michael Considine, Liliana Florea, Luciane T. Kagohara, Genevieve L. Stein-O'Brien, Dylan Kelley, Emily Flam, Kristina D. Zambo, Patrick K. Ha, Donald Geman, Michael F. Ochs, Joseph A. Califano, Daria A. Gaykalova, Alexander V. Favorov, Elana J. Fertig:
Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer. Bioinform. 34(11): 1859-1867 (2018) - 2017
- [i1]Ehsan Jahangiri, Erdem Yörük, René Vidal, Laurent Younes, Donald Geman:
Information Pursuit: A Bayesian Framework for Sequential Scene Parsing. CoRR abs/1701.02343 (2017) - 2015
- [j32]Bahman Afsari, Elana J. Fertig, Donald Geman, Luigi Marchionni:
switchBox: an R package for k-Top Scoring Pairs classifier development. Bioinform. 31(2): 273-274 (2015) - [j31]Donald Geman, Hélyette Geman, Nassim Nicholas Taleb:
Tail Risk Constraints and Maximum Entropy. Entropy 17(6): 3724-3737 (2015) - [j30]Asma Rejeb Sfar, Nozha Boujemaa, Donald Geman:
Confidence Sets for Fine-Grained Categorization and Plant Species Identification. Int. J. Comput. Vis. 111(3): 255-275 (2015) - [j29]Donald Geman, Stuart Geman, Neil Hallonquist, Laurent Younes:
Visual Turing test for computer vision systems. Proc. Natl. Acad. Sci. USA 112(12): 3618-3623 (2015) - 2013
- [j28]David M. Simcha, Laurent Younes, Martin J. Aryee, Donald Geman:
Identification of direction in gene networks from expression and methylation. BMC Syst. Biol. 7: 118 (2013) - [j27]Francisco Sánchez-Vega, Jason Eisner, Laurent Younes, Donald Geman:
Learning Multivariate Distributions by Competitive Assembly of Marginals. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 398-410 (2013) - [j26]Jaeyun Sung, Pan-Jun Kim, Shuyi Ma, Cory C. Funk, Andrew T. Magis, Yuliang Wang, Leroy E. Hood, Donald Geman, Nathan D. Price:
Multi-study Integration of Brain Cancer Transcriptomes Reveals Organ-Level Molecular Signatures. PLoS Comput. Biol. 9(7) (2013) - [c19]Asma Rejeb Sfar, Nozha Boujemaa, Donald Geman:
Vantage Feature Frames for Fine-Grained Categorization. CVPR 2013: 835-842 - [c18]Asma Rejeb Sfar, Nozha Boujemaa, Donald Geman:
Identification of plants from multiple images and botanical IdKeys. ICMR 2013: 191-198 - 2011
- [j25]François Fleuret, Ting Li, Charles Dubout, Emma K. Wampler, Steven Yantis, Donald Geman:
Comparing machines and humans on a visual categorization test. Proc. Natl. Acad. Sci. USA 108(43): 17621-17625 (2011) - [j24]Erdem Yörük, Michael F. Ochs, Donald Geman, Laurent Younes:
A Comprehensive Statistical Model for Cell Signaling. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 592-606 (2011) - 2010
- [j23]James A. Eddy, Leroy E. Hood, Nathan D. Price, Donald Geman:
Identifying Tightly Regulated and Variably Expressed Networks by Differential Rank Conservation (DIRAC). PLoS Comput. Biol. 6(5) (2010)
2000 – 2009
- 2009
- [j22]Xue Lin, Bahman Afsari, Luigi Marchionni, Leslie Cope, Giovanni Parmigiani, Daniel Q. Naiman, Donald Geman:
The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations. BMC Bioinform. 10 (2009) - [j21]Marin Ferecatu, Donald Geman:
A Statistical Framework for Image Category Search from a Mental Picture. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 1087-1101 (2009) - 2008
- [j20]Lei Xu, Aik Choon Tan, Raimond L. Winslow, Donald Geman:
Merging microarray data from separate breast cancer studies provides a robust prognostic test. BMC Bioinform. 9 (2008) - [j19]James Ze Wang, Donald Geman, Jiebo Luo, Robert M. Gray:
Real-World Image Annotation and Retrieval: An Introduction to the Special Section. IEEE Trans. Pattern Anal. Mach. Intell. 30(11): 1873-1876 (2008) - [c17]Donald Geman, Bahman Afsari, Aik Choon Tan, Daniel Q. Naiman:
Microarray Classification from Several Two-Gene Expression Comparisons. ICMLA 2008: 583-585 - 2007
- [j18]Lei Xu, Donald Geman, Raimond L. Winslow:
Large-scale integration of cancer microarray data identifies a robust common cancer signature. BMC Bioinform. 8 (2007) - [c16]Marin Ferecatu, Donald Geman:
Interactive Search for Image Categories by Mental Matching. ICCV 2007: 1-8 - 2006
- [j17]Hichem Sahbi, Donald Geman:
A Hierarchy of Support Vector Machines for Pattern Detection. J. Mach. Learn. Res. 7: 2087-2123 (2006) - [c15]Sachin Gangaputra, Donald Geman:
The Trace Model for Object Detection and Tracking. Toward Category-Level Object Recognition 2006: 401-420 - [c14]Sachin Gangaputra, Donald Geman:
A Design Principle for Coarse-to-Fine Classification. CVPR (2) 2006: 1877-1884 - [c13]Alexey Koloydenko, Donald Geman:
Ordinal Coding of Image Microstructure. IPCV 2006: 613-620 - [c12]Donald Geman:
In search of a unifying theory for image interpretation. ISIT 2006: x - [c11]Donald Geman:
Interactive image retrieval by mental matching. Multimedia Information Retrieval 2006: 1-2 - [c10]James Ze Wang, Nozha Boujemaa, Alberto Del Bimbo, Donald Geman, Alexander G. Hauptmann, Jelena Tesic:
Diversity in multimedia information retrieval research. Multimedia Information Retrieval 2006: 5-12 - 2005
- [j16]Aik Choon Tan, Daniel Q. Naiman, Lei Xu, Raimond L. Winslow, Donald Geman:
Simple decision rules for classifying human cancers from gene expression profiles. Bioinform. 21(20): 3896-3904 (2005) - [j15]Lei Xu, Aik Choon Tan, Daniel Q. Naiman, Donald Geman, Raimond L. Winslow:
Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data. Bioinform. 21(20): 3905-3911 (2005) - [c9]Yuchun Fang, Donald Geman:
Experiments in Mental Face Retrieval. AVBPA 2005: 637-646 - [c8]Sachin Gangaputra, Donald Geman:
A Unified Stochastic Model for Detecting and Tracking Faces. CRV 2005: 306-313 - [c7]Yuchun Fang, Donald Geman, Nozha Boujemaa:
An interactive system for mental face retrieval. Multimedia Information Retrieval 2005: 193-200 - 2004
- [j14]Yali Amit, Donald Geman, Xiaodong Fan:
A Coarse-to-Fine Strategy for Multiclass Shape Detection. IEEE Trans. Pattern Anal. Mach. Intell. 26(12): 1606-1621 (2004) - [c6]Sachin Gangaputra, Donald Geman:
Self-Normalized Linear Tests. CVPR (2) 2004: 616-622 - [c5]Xiaodong Fan, Donald Geman:
Hierarchical Object Indexing and Sequential Learning. ICPR (3) 2004: 65-68 - 2003
- [j13]Christian d'Avignon, Donald Geman:
Tree-Structured Neural Decoding. J. Mach. Learn. Res. 4: 743-754 (2003) - 2002
- [c4]Hichem Sahbi, Donald Geman, Nozha Boujemaa:
Face detection using coarse-to-fine support vector classifiers. ICIP (3) 2002: 925-928 - [c3]François Fleuret, Donald Geman:
Fast Face Detection with Precise Pose Estimation. ICPR (1) 2002: 235- - 2001
- [j12]François Fleuret, Donald Geman:
Coarse-to-Fine Face Detection. Int. J. Comput. Vis. 41(1/2): 85-107 (2001) - [j11]Donald Geman, Bruno Jedynak:
Model-based classification trees. IEEE Trans. Inf. Theory 47(3): 1075-1082 (2001)
1990 – 1999
- 1999
- [j10]Yali Amit, Donald Geman:
A Computational Model for Visual Selection. Neural Comput. 11(7): 1691-1715 (1999) - 1997
- [j9]Yali Amit, Donald Geman:
Shape Quantization And Recognition With Randomized Trees. Neural Comput. 9(7): 1545-1588 (1997) - 1996
- [j8]Donald Geman, Bruno Jedynak:
An Active Testing Model for Tracking Roads in Satellite Images. IEEE Trans. Pattern Anal. Mach. Intell. 18(1): 1-14 (1996) - 1995
- [j7]Donald Geman, Chengda Yang:
Nonlinear image recovery with half-quadratic regularization. IEEE Trans. Image Process. 5(7): 932-946 (1995) - 1992
- [j6]Stuart Geman, Donald E. McClure, Donald Geman:
A nonlinear filter for film restoration and other problems in image processing. CVGIP Graph. Model. Image Process. 54(4): 281-289 (1992) - [j5]Donald Geman, George Reynolds:
Constrained Restoration and the Recovery of Discontinuities. IEEE Trans. Pattern Anal. Mach. Intell. 14(3): 367-383 (1992) - 1990
- [j4]Donald Geman, Stuart Geman, Christine Graffigne, Ping Dong:
Boundary Detection by Constrained Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 12(7): 609-628 (1990)
1980 – 1989
- 1987
- [j3]Donald Geman:
Stochastic model for boundary detection. Image Vis. Comput. 5(2): 61-65 (1987) - 1984
- [j2]Haluk Derin, Howard Elliott, Roberto Cristi, Donald Geman:
Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 6(6): 707-720 (1984) - [j1]Stuart Geman, Donald Geman:
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images. IEEE Trans. Pattern Anal. Mach. Intell. 6(6): 721-741 (1984) - [c2]Howard Elliott, Haluk Derin, Roberto Cristi, Donald Geman:
Application of the Gibbs distribution to image segmentation. ICASSP 1984: 678-681 - [c1]Haluk Derin, Howard Elliott, Roberto Cristi, Donald Geman:
Bayes smoothing algorithms for segmentation of images modeled by Markov random fields. ICASSP 1984: 682-685
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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