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2013
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A. Rejeb-Sfar, N. Boujemaa, D. Geman, "Vantage feature frames for fine-grained categorization," CVPR 2013
(pdf)
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D. Simcha, L. Younes, M, Aryee and D. Geman, "Identification of direction in gene networks from expression and methylation." BMC Systems Biology 7:118, 2013
(pdf)
- J. Sung, P-J Kim, C. Funk, S. Ma, A. Magis, Y. Wang, L. Hood, D. Geman and N.D. Price, "Multi-study integration of brain cancer transcriptomes reveals organ-level diagnostic signatures,"
PLOS Computational Biology, Vol 9, Issue 7, e1003148, 2013
(pdf)
- L. Marchionni, B. Afsari, D. Geman and J.T.Leek, "A simple and reproducible breast cancer prognostic test,"
BMC Genomics
14:336, 2013.
(pdf)
- F. Sanchez-Vega, J. Eisner, L. Younes and D. Geman, "Learning multivariate distributions by competitive assembly of marginals,"
IEEE Transactions on Pattern Analysis and Machine Intelligence
35, 398-410, 2013.
(pdf)
2012
- R.L. Winslow, N. Trayanova, D. Geman and M.I. Miller, "Computational medicine: translating models to clinical care,"
Science Translational Medicine 4, 31 October 2012
(pdf)
- F. Sanchez-Vega, J. Eisner, L. Younes and D. Geman, "Learning multivariate distributions by competitive assembly of marginals,"
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
(pdf)
- Simcha D, Price ND, Geman D, "The Limits of De Novo DNA Motif Discovery,"
PLoS ONE 7(11): e47836
(pdf)
2011
- F. Fleuret, T. Li, C. Dubout, E. K. Wampler, S. Yantis and D. Geman, "Comparing machines and humans on a visual categorization test,"
PNAS, 108: 17621-17625, 2011.
(pdf)
- R. L. Winslow et al., "The CardioVascular Research Grid Project." In:
AMIA 2011 Summit on Translational Bioinformatics, March 7-9, San Francisco, CA, 77-81, 2011.
(pdf)
- E. Yoruk, M. Ochs, D. Geman and L. Younes, "A comprehensive statistical model for cell signaling,"
IEEE Trans. Computational Biology and Bioinformatics , 592-606, 2011.
(pdf)
2010
- P. Slama and D. Geman, "Identification of family-determining residues
in PHD fingers," Nucleic Acids Research , 1-14, 2010.
(pdf)
- J.T. Leek, R.B. Scharpf, H.C. Bravo, D. Simcha,
B. Langmead, W.E. Johnson, D. Geman, K. Baggerly, R.A. Irisarry,
"Tackling the widespread and critical impact
of batch effects in high-throughput data,"
Nature Reviews Genetics , 11, 733-739, 2010.
(pdf)
- J.A. Eddy, L. Hood, N.D. Price and D. Geman, "Identifying
tightly regulated and variably expressed networks by differential
rank conservation,"
PLoS Computational Biology , 2010.
(pdf)
- J.A. Eddy, J. Sung, D. Geman and N.D. Price, "Relative expression analysis for molecular diagnosis and prognosis,"
Technology in Cancer Research and Treatment 9, 149-159, 2010.
(pdf)
2009
- L.B. Edelman, G. Goia, D. Geman,, W. Zhang and N.D. Price, "Two-transcript gene expression classifiers in the diagnosis and prognosis of human diseases," BMC Genomics 10:583, 2009.
(pdf)
- X. Lin, B. Afsari, L. Marchionni, L. Cope, G. Parmigiani, D. Naiman and D. Geman,
"The ordering of expression among a few genes can provide simple cancer biomarkers and signal
BRCA1 mutations," BMC Bioinformatics 10:256, 2009.
(pdf)
- M. Ferecatu and D. Geman, "A statistical framework for image category search from a mental
picture," IEEE Trans. PAMI, 31, 1087-1101, 2009.
(pdf)
2008
- D. Geman, B. Afsari, A.C. Tan and D. Naiman "Microarray classification from several two-gene experssion comparisons," Proceedings ICMLA, 2008 (Winner, ICMLA Microarray Classification Algorithm Competition).
(pdf)
- F. Fleuret and D. Geman, "Stationary features and cat detection,"
Journal of Machine Learning Research, 9:2549-2578, 2008.
(pdf)
- L. Xu, A.C. Tan, R. L. Winslow and D. Geman, "Merging microarray data from
separate breast cancer studies provides a robust prognostic signature," BMC Bioinformatics 9:125, 2008.
(pdf)
2007
- M. Ferecatu and D. Geman, "Interactive search for image categories by mental matching,"
Proceedings
Inter. Conf. on Computer Vision (ICCV '07) , Rio de Janeiro, October 14-20, 2007.
(pdf)
- T.J. Anderson, I. Tchernyshyov, R. Diez, R.N. Cole, D. Geman, C.V. Dang and R. Winslow, "Discovering
robust protein biomarkers for disease from relative expression reversals in 2-D DIGE data," Proteomics 7:
1197-1207, 2007.
(pdf)
- L. Xu, D. Geman and R. Winslow, "Large-scale integration of cancer microarray data
identifies a robust common cancer signature," BMC Bioinformatics 8:275, 2007.
(pdf)
2006
- S. Gangaputra and D. Geman, "A design principle for coarse-to-fine classification,"
Proceedings
CVPR 2006, 2, 1877-1884, 2006.
(pdf)
- A. Koloydenko and D. Geman, "Ordinal coding of image microstructure," Proceedings
Inter. Conf. Image Processing, Computer Vision and Pattern Recognition (IPCV'06), Las Vegas, NV, June, 2006.
(pdf)
- S. Gangaputra and D. Geman, "The trace model for object detection and tracking," Toward Category-Level
Object Recognition (eds. J. Ponce et al), Lecture Notes in
Computer Science, 4170, 401-420, 2006.
(pdf)
- H. Sahbi and D. Geman, "A hierarchy of support vector machines
for pattern detection," Journal of Machine Learning Research, 7, 2087-2123, 2006.
(pdf)
2005
- L. Xu, A-C Tan, D. Naiman, D. Geman and R. Winslow, "Robust prostate cancer marker genes emerge
from direct integration of inter-study microarray data," Bioinformatics , 21, 3905-3911, 2005.
(pdf)
- A-C Tan, D. Naiman, L. Xu, R. Winslow and D. Geman, "Simple decision rules for classifying human cancers
from gene expression profiles," Bioinformatics , 21, 3896-3904, 2005.
(pdf)
- Y. Fang and D. Geman, "Experiments in mental face retrieval," Proceedings AVBPA 2005, Lecture Notes
in Computer Science, 637-646, July 2005. (Best Student Paper Award)
(pdf)
- S. Gangaputra and D. Geman, "A unified stochastic model
for detecting and tracking faces," Proceedings Second Canadian Conf. on Computer and Robot Vision (CRV'05), 306-313,
2005.
(pdf)
- G. Blanchard and D. Geman, "Sequential testing designs for pattern
recognition," Annals of Statistics, 33, 1155-1202, June, 2005.
(pdf)
2004
- D. Geman, C. d'Avignon, D. Naiman, R. Winslow
and A. Zeboulon, "Gene expression comparisons for class prediction in cancer
studies," Proceedings 36'th Symposium on the Interface: Computing Science
and Statistics, 2004.
(pdf)
- Y. Amit, D. Geman and X. Fan, "A coarse-to-fine strategy for
multi-class shape detection," IEEE Trans. PAMI, 28,
1606-1621,
2004.
(pdf)
- D. Geman, C. d'Avignon, D. Naiman and R. Winslow, "Classifying gene
expression profiles from pairwise mRNA comparisons," Statist. Appl. in
Genetics and Molecular Biology, 3, 2004.
(pdf)
- S. Gangaputra and D. Geman, "Self-normalized linear tests," Proceedings
CVPR 2004, 2, 616-622, 2004
(pdf)
- X. Fan and D. Geman, "Hierarchical object indexing and sequential
learning," Proceedings ICPR 2004, 3, 65-68, 2004.
(pdf)
2003
- D. Geman, "Coarse-to-fine classification and scene labeling,"
Nonlinear Estimation and Classification (eds. D. D. Denison
et al.), Lecture Notes in Statistics. New York: Springer-Verlag,
31-48, 2003.
(pdf)
- C. d'Avignon and D. Geman, "Tree-structured neural decoding ,"
Journal of Machine Learning Research, 4, 743-754, 2003.
(pdf)
2002
- H. Sahbi, D. Geman and N. Boujemaa, "Face detection using coarse-to-fine support vector
classifiers," Proceedings ICIP-02, 3, 925-928, 2002.
(pdf)
- F. Fleuret and D. Geman, "Fast face detection with precise pose
estimation," Proceedings ICPR2002, 1, 235-238, 2002.
(pdf)
- S. Krempp, D. Geman and Y. Amit, "Sequential learning with reusable
parts for object detection," Technical Report, 2002.
(pdf)
2001
- F. Fleuret and D. Geman, "Coarse-to-fine face detection,"
Inter. Journal of Computer Vision, 41, 85-107, 2001.
(pdf)
- D. Geman and B. Jedynak, "Model-based classification trees,"
IEEE Trans. Info. Theory, 47, 1075-1082, 2001.
(pdf)
- D. Geman and R. Moquet, "Q & A models for interactive search,"
Technical Report, 2001.
(pdf)
Before 2000
- D. Geman, "Interrogation Bayesienne d'une base de donnees,"
Proceedings 33rd Journees de Statistique, Nantes, 15-20,
2001.
- D. Geman and R. Moquet, "A stochastic model for image retrieval,"
Proc. RFIA 200, Paris, February, 2000.
(pdf)
- F. Fleuret and D. Geman, "Graded learning for object detection,"
Proceedings IEEE Workshop on Statistical and Computational
Theories of Vision, Fort Collins, CO, June, 1999.
- D. Geman and A. Koloydenko, "Invariant statistics and coding
of natural microimages," Proceedings, IEEE Workshop
on Statistical and Computational Theories of Vision, Fort
Collins, CO, June, 1999.
(pdf)
- Y. Amit and D. Geman,
"A computational model for visual selection,"
Neural Computation, 11, 1691-1715, 1999.
(pdf)
- C. Li and D. Geman, "Active testing at multiple resolutions,"
Proceedings ASA Conference, Baltimore, 1999.
- Y. Amit, D. Geman and B. Jedynak, " Efficient focusing and face
detection," Face Recognition: From Theory to Applications,
eds. H. Wechsler et al, NATO ASI Series F, Springer-Verlag, Berlin,
157-173, 1998.
(pdf)
- F. Jung, B. Jednyak and D. Geman, "Recognizing buildings in aerial
images," Automatic Extraction of Man-Made Objects from Aerial
and Space Images, II, Birkhauseer (Basel), Ascona, 173-182,
May, 1997.
- Y. Amit, D. Geman and K. Wilder, " Joint induction of shape
features and tree classifiers," IEEE Trans. Pattern Anal. Mach.
Intell., 19, 1300-1305, 1997.
(pdf)
- Y. Amit and D. Geman, "Shape quantization and recognition with
randomized trees," Neural Computation.,
9, 1545-1588, 1997.
(pdf)
- D. Geman and B. Jedynak, "An active testing model for tracking
roads from satellite images," IEEE Trans. Pattern Anal. Mach.
Intell, 18, 1-14, 1996.
(pdf)
- D. Geman and C. Yang, "Nonlinear image recovery with half-quadratic
regularization," IEEE Trans. Image Processing, 4, 932-946,
1995.
(pdf)
- S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian
restoration of images," IEEE Trans. Pattern Anal. Mach. Intell, 6, 721-741,
1984.
(pdf)
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