Jennifer G. Dy

	2012
44		Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy: Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario CoRR abs/1203.3529: (2012)
43		Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy: Active Learning from Multiple Knowledge Sources. Journal of Machine Learning Research - Proceedings Track 22: 1350-1357 (2012)
42		Donglin Niu, Jennifer G. Dy, Zoubin Ghahramani: A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views. Journal of Machine Learning Research - Proceedings Track 22: 814-822 (2012)
	2011
41		Yue Guan, Jennifer G. Dy, Michael I. Jordan: A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection. ICML 2011: 1073-1080
40		Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy: Active Learning from Crowds. ICML 2011: 1161-1168
39		Malak Alshawabkeh, Javed A. Aslam, David R. Kaeli, Jennifer G. Dy: A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments. ICTAI 2011: 879-881
38		Fatemeh Azmandian, Micha Moffie, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli: Workload Characterization at the Virtualization Layer. MASCOTS 2011: 63-72
37		Donglin Niu, Jennifer G. Dy, Michael I. Jordan: Dimensionality Reduction for Spectral Clustering. Journal of Machine Learning Research - Proceedings Track 15: 552-560 (2011)
36		Fatemeh Azmandian, Micha Moffie, Malak Alshawabkeh, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli: Virtual machine monitor-based lightweight intrusion detection. Operating Systems Review 45(2): 38-53 (2011)
	2010
35		Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy: From Transformation-Based Dimensionality Reduction to Feature Selection. ICML 2010: 751-758
34		Donglin Niu, Jennifer G. Dy, Michael I. Jordan: Multiple Non-Redundant Spectral Clustering Views. ICML 2010: 831-838
33		Malak Alshawabkeh, Micha Moffie, Fatemeh Azmandian, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli: Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data. ICMLA 2010: 823-827
32		Sila Kurugol, Necmiye Ozay, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks: Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation. ICPR 2010: 3955-3958
31		Sila Kurugol, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks: 3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models. ISBI 2010: 444-447
30		Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales: Medical coding classification by leveraging inter-code relationships. KDD 2010: 193-202
29		Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy: Convex Principal Feature Selection. SDM 2010: 619-628
28		Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy: Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. UAI 2010: 674-682
27		Yan Yan, Rómer Rosales, Glenn Fung, Mark W. Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy: Modeling annotator expertise: Learning when everybody knows a bit of something. Journal of Machine Learning Research - Proceedings Track 9: 932-939 (2010)
26		Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy: MultiClust 2010: discovering, summarizing and using multiple clusterings. SIGKDD Explorations 12(2): 47-49 (2010)
25		Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy: Learning multiple nonredundant clusterings. TKDD 4(3): (2010)
	2009
24		Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy: Multi-Class Classifiers and their Underlying Shared Structure. IJCAI 2009: 1267-1272
23		Sila Kurugol, Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks: Localizing the Dermis/Epidermis Boundary in Reflectance Confocal Microscopy Images with a Hybrid Classification Algorithm. ISBI 2009: 1322-1325
22		Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao: Using Local Dependencies within Batches to Improve Large Margin Classifiers. Journal of Machine Learning Research 10: 183-206 (2009)
21		Yue Guan, Jennifer G. Dy: Sparse Probabilistic Principal Component Analysis. Journal of Machine Learning Research - Proceedings Track 5: 185-192 (2009)
20		Jing Fan, Xiaobo Zhou, Jennifer G. Dy, Yong Zhang, Stephen T. C. Wong: An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models. Neuroinformatics 7(2): 113-130 (2009)
	2008
19		Sila Kurugol, Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks: Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features. ISBI 2008: 492-495
18		Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian M. Alexander, Steve B. Jiang: Learning methods for lung tumor markerless gating in image-guided radiotherapy. KDD 2008: 902-910
17		Alireza Farhangfar, Lukasz A. Kurgan, Jennifer G. Dy: Impact of imputation of missing values on classification error for discrete data. Pattern Recognition 41(12): 3692-3705 (2008)
	2007
16		Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy: Non-redundant Multi-view Clustering via Orthogonalization. ICDM 2007: 133-142
15		Ting Su, Jennifer G. Dy: In search of deterministic methods for initializing K-means and Gaussian mixture clustering. Intell. Data Anal. 11(4): 319-338 (2007)
	2006
14		Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao: Batch Classification with Applications in Computer Aided Diagnosis. ECML 2006: 449-460
	2005
13		Ben Cordes, Jennifer G. Dy, Miriam Leeser, James Goebel: Enabling a RealTime Solution for Neuron Detection with Reconfigurable Hardware (abstract only). FPGA 2005: 264
12		Ben Cordes, Jennifer G. Dy, Miriam Leeser, James Goebel: Enabling a Real-Time Solution for Neuron Detection with Reconfigurable Hardware. IEEE International Workshop on Rapid System Prototyping 2005: 128-134
11		Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R. Kaeli: A multinomial clustering model for fast simulation of computer architecture designs. KDD 2005: 808-813
10		Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris H. Q. Ding, Fuhui Long, Michael E. Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman: Evolving Feature Selection. IEEE Intelligent Systems 20(6): 64-76 (2005)
	2004
9		Volkan Vural, Jennifer G. Dy: A hierarchical method for multi-class support vector machines. ICML 2004
8		Ting Su, Jennifer G. Dy: Automated hierarchical mixtures of probabilistic principal component analyzers. ICML 2004
7		Ting Su, Jennifer G. Dy: A Deterministic Method for Initializing K-Means Clustering. ICTAI 2004: 784-786
6		Jennifer G. Dy, Carla E. Brodley: Feature Selection for Unsupervised Learning. Journal of Machine Learning Research 5: 845-889 (2004)
	2003
5		Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick, Alex M. Aisen: Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images. IEEE Trans. Pattern Anal. Mach. Intell. 25(3): 373-378 (2003)
	2000
4		Jennifer G. Dy, Carla E. Brodley: Feature Subset Selection and Order Identification for Unsupervised Learning. ICML 2000: 247-254
3		Jennifer G. Dy, Carla E. Brodley: Visualization and interactive feature selection for unsupervised data. KDD 2000: 360-364
	1999
2		Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Jennifer G. Dy, Lynn S. Broderick, Alex M. Aisen: Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision. AAAI/IAAI 1999: 760-767
1		Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick: The Customized-Queries Approach to CBIR Using EM. CVPR 1999: 2400-2406

Coauthor Index

1	Alex M. Aisen	[2] [5]
2	Brian M. Alexander	[18]
3	Malak Alshawabkeh	[33] [36] [39]
4	Javed A. Aslam (Jay Aslam)	[33] [36] [38] [39]
5	Fatemeh Azmandian	[33] [36] [38]
6	Michael E. Berens	[10]
7	Luca Bogoni	[27]
8	Lynn S. Broderick	[1] [2] [5]
9	Carla E. Brodley	[1] [2] [3] [4] [5] [6]
10	Dana H. Brooks	[19] [23] [31] [32]
11	Ben Cordes	[12] [13]
12	Ying Cui	[16] [18] [25] [29]
13	Ian Davidson	[26]
14	Chris H. Q. Ding (Hong Q. Ding)	[10]
15	Edward R. Dougherty	[10]
16	Jing Fan	[20]
17	Alireza Farhangfar	[17]
18	Faisal Farooq	[43]
19	Xiaoli Z. Fern (Xiaoli Fern, Xiaoli Zhang Fern)	[16] [25] [26]
20	George Forman	[10]
21	Glenn Fung	[14] [22] [24] [27] [28] [29] [30] [35] [40] [43] [44]
22	Zoubin Ghahramani	[42]
23	James Goebel	[12] [13]
24	Yue Guan	[21] [41]
25	Steve B. Jiang	[18]
26	Michael I. Jordan	[34] [37] [41]
27	David R. Kaeli	[11] [33] [36] [38] [39]
28	Avinash C. Kak (Avi Kak)	[1] [2] [5]
29	Balaji Krishnapuram	[14] [22]
30	Lukasz A. Kurgan	[17]
31	Sila Kurugol	[19] [23] [31] [32]
32	Miriam Leeser	[12] [13]
33	Huan Liu	[10]
34	Fuhui Long	[10]
35	Mahdokht Masaeli	[29] [35]
36	Micha Moffie	[33] [36] [38]
37	Linda Moy	[27]
38	Donglin Niu	[34] [37] [42]
39	Necmiye Ozay	[32]
40	Lance Parsons	[10]
41	Hanchuan Peng	[10]
42	Milind Rajadhyaksha	[19] [23]
43	Bharat Rao	[43]
44	R. Bharat Rao	[14] [22]
45	Rómer Rosales	[24] [27] [28] [30] [40] [43] [44]
46	Kaushal Sanghai	[11]
47	Mark W. Schmidt	[27]
48	Gregory C. Sharp	[18] [31] [32]
49	Chi-Ren Shyu	[1] [2]
50	Ting Su	[7] [8] [11] [15]
51	Kari Torkkola	[10]
52	Eugene Tuv	[10]
53	Gerardo Hermosillo Valadez	[27]
54	Volkan Vural	[9] [14] [22] [24]
55	Stephen T. C. Wong	[20]
56	Yan Yan	[27] [28] [29] [30] [40] [43] [44]
57	Lei Yu	[10]
58	Yong Zhang	[20]
59	Zheng Zhao	[10]
60	Xiaobo Zhou	[20]

Colors in the list of coauthors

Last update Tue May 29 20:41:18 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page