| 2012 |
|---|
| 51 | A Computational model for compressed sensing RNAi cellular screening. Hua Tan, Jing Fan, Jiguang Bao, Jennifer G. Dy, Xiaobo Zhou. BMC Bioinformatics (13): 337 (2012). Web SearchBibTeXDownload |
| 50 | Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy. CoRR (abs/1203.3529) (2012). Web SearchBibTeXDownload |
| 49 | Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin. Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Esra Ataer Cansizoglu, Deniz Erdogmus, Milind Rajadhyaksha. ICASSP 2012, 705-708. Web SearchBibTeXDownload |
| 48 | GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio. Fatemeh Azmandian, Ayse Yilmazer, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli. ICDM 2012, 51-60. Web SearchBibTeXDownload |
| 47 | Feature Weighting and Selection Using Hypothesis Margin of Boosting. Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli. ICDM 2012, 41-50. Web SearchBibTeXDownload |
| 46 | Active Learning from Multiple Knowledge Sources. Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy. Journal of Machine Learning Research - Proceedings Track (22): 1350-1357 (2012). Web SearchBibTeXDownload |
| 45 | A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views. Donglin Niu, Jennifer G. Dy, Zoubin Ghahramani. Journal of Machine Learning Research - Proceedings Track (22): 814-822 (2012). Web SearchBibTeXDownload |
| 44 | Local Kernel Density Ratio-Based Feature Selection for Outlier Detection. Fatemeh Azmandian, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli. Journal of Machine Learning Research - Proceedings Track (25): 49-64 (2012). Web SearchBibTeXDownload |
| 43 | A quantitative analytic pipeline for evaluating neuronal activities by high-throughput synaptic vesicle imaging. Jing Fan, Xiaofeng Xia, Ying Li, Jennifer G. Dy, Stephen T. C. Wong. NeuroImage (62): 2040-2054 (2012). Web SearchBibTeXDownload |
| 2011 |
|---|
| 42 | A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection. Yue Guan, Jennifer G. Dy, Michael I. Jordan. ICML 2011, 1073-1080. Web SearchBibTeX |
| 41 | Active Learning from Crowds. Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy. ICML 2011, 1161-1168. Web SearchBibTeX |
| 40 | Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems. Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli. ICMLA (1) 2011, 145-150. Web SearchBibTeXDownload |
| 39 | A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments. Malak Alshawabkeh, Javed A. Aslam, David R. Kaeli, Jennifer G. Dy. ICTAI 2011, 879-881. Web SearchBibTeXDownload |
| 38 | Dimensionality Reduction for Spectral Clustering. Donglin Niu, Jennifer G. Dy, Michael I. Jordan. Journal of Machine Learning Research - Proceedings Track (15): 552-560 (2011). Web SearchBibTeXDownload |
| 37 | Workload Characterization at the Virtualization Layer. Fatemeh Azmandian, Micha Moffie, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli. MASCOTS 2011, 63-72. Web SearchBibTeXDownload |
| 36 | Virtual machine monitor-based lightweight intrusion detection. Fatemeh Azmandian, Micha Moffie, Malak Alshawabkeh, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli. Operating Systems Review (45): 38-53 (2011). Web SearchBibTeXDownload |
| 2010 |
|---|
| 35 | Multiple Non-Redundant Spectral Clustering Views. Donglin Niu, Jennifer G. Dy, Michael I. Jordan. ICML 2010, 831-838. Web SearchBibTeXDownload |
| 34 | From Transformation-Based Dimensionality Reduction to Feature Selection. Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy. ICML 2010, 751-758. Web SearchBibTeXDownload |
| 33 | Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data. Malak Alshawabkeh, Micha Moffie, Fatemeh Azmandian, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli. ICMLA 2010, 823-827. Web SearchBibTeXDownload |
| 32 | Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation. Sila Kurugol, Necmiye Ozay, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks. ICPR 2010, 3955-3958. Web SearchBibTeXDownload |
| 31 | 3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models. Sila Kurugol, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks. ISBI 2010, 444-447. Web SearchBibTeXDownload |
| 30 | Modeling annotator expertise: Learning when everybody knows a bit of something. Yan Yan, Rómer Rosales, Glenn Fung, Mark W. Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy. Journal of Machine Learning Research - Proceedings Track (9): 932-939 (2010). Web SearchBibTeXDownload |
| 29 | Medical coding classification by leveraging inter-code relationships. Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales. KDD 2010, 193-202. Web SearchBibTeXDownload |
| 28 | Convex Principal Feature Selection. Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy. SDM 2010, 619-628. Web SearchBibTeXDownload |
| 27 | MultiClust 2010: discovering, summarizing and using multiple clusterings. Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy. SIGKDD Explorations (12): 47-49 (2010). Web SearchBibTeXDownload |
| 26 | Learning multiple nonredundant clusterings. Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy. TKDD (4) (2010). Web SearchBibTeXDownload |
| 25 | Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy. UAI 2010, 674-682. Web SearchBibTeXDownload |
| 2009 |
|---|
| 24 | Multi-Class Classifiers and their Underlying Shared Structure. Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy. IJCAI 2009, 1267-1272. Web SearchBibTeXDownload |
| 23 | Localizing the Dermis/Epidermis Boundary in Reflectance Confocal Microscopy Images with a Hybrid Classification Algorithm. Sila Kurugol, Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks. ISBI 2009, 1322-1325. Web SearchBibTeXDownload |
| 22 | Using Local Dependencies within Batches to Improve Large Margin Classifiers. Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao. Journal of Machine Learning Research (10): 183-206 (2009). Web SearchBibTeXDownload |
| 21 | Sparse Probabilistic Principal Component Analysis. Yue Guan, Jennifer G. Dy. Journal of Machine Learning Research - Proceedings Track (5): 185-192 (2009). Web SearchBibTeXDownload |
| 20 | An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models. Jing Fan, Xiaobo Zhou, Jennifer G. Dy, Yong Zhang, Stephen T. C. Wong. Neuroinformatics (7): 113-130 (2009). Web SearchBibTeXDownload |
| 2008 |
|---|
| 19 | Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features. Sila Kurugol, Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks. ISBI 2008, 492-495. Web SearchBibTeXDownload |
| 18 | Learning methods for lung tumor markerless gating in image-guided radiotherapy. Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian M. Alexander, Steve B. Jiang. KDD 2008, 902-910. Web SearchBibTeXDownload |
| 17 | Impact of imputation of missing values on classification error for discrete data. Alireza Farhangfar, Lukasz A. Kurgan, Jennifer G. Dy. Pattern Recognition (41): 3692-3705 (2008). Web SearchBibTeXDownload |
| 2007 |
|---|
| 16 | Non-redundant Multi-view Clustering via Orthogonalization. Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy. ICDM 2007, 133-142. Web SearchBibTeXDownload |
| 15 | In search of deterministic methods for initializing K-means and Gaussian mixture clustering. Ting Su, Jennifer G. Dy. Intell. Data Anal. (11): 319-338 (2007). Web SearchBibTeXDownload |
| 2006 |
|---|
| 14 | Batch Classification with Applications in Computer Aided Diagnosis. Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao. ECML 2006, 449-460. Web SearchBibTeXDownload |
| 2005 |
|---|
| 13 | Enabling a RealTime Solution for Neuron Detection with Reconfigurable Hardware (abstract only). Ben Cordes, Jennifer G. Dy, Miriam Leeser, James Goebel. FPGA 2005, 264. Web SearchBibTeXDownload |
| 12 | Evolving Feature Selection. 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. IEEE Intelligent Systems (20): 64-76 (2005). Web SearchBibTeXDownload |
| 11 | Enabling a Real-Time Solution for Neuron Detection with Reconfigurable Hardware. Ben Cordes, Jennifer G. Dy, Miriam Leeser, James Goebel. IEEE International Workshop on Rapid System Prototyping 2005, 128-134. Web SearchBibTeXDownload |
| 10 | A multinomial clustering model for fast simulation of computer architecture designs. Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R. Kaeli. KDD 2005, 808-813. Cited by 5Web SearchBibTeXDownload |
| 2004 |
|---|
| 9 | A hierarchical method for multi-class support vector machines. Volkan Vural, Jennifer G. Dy. ICML 2004. Web SearchBibTeXDownload |
| 8 | Automated hierarchical mixtures of probabilistic principal component analyzers. Ting Su, Jennifer G. Dy. ICML 2004. Web SearchBibTeXDownload |
| 7 | A Deterministic Method for Initializing K-Means Clustering. Ting Su, Jennifer G. Dy. ICTAI 2004, 784-786. Web SearchBibTeXDownload |
| 6 | Feature Selection for Unsupervised Learning. Jyoti Ranjan Adhikary, M. Narasimha Murty. Journal of Machine Learning Research (5): 845-889 (2004). Web SearchBibTeXDownload |
| 2003 |
|---|
| 5 | Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images. Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick, Alex M. Aisen. IEEE Trans. Pattern Anal. Mach. Intell. (25): 373-378 (2003). Web SearchBibTeXDownload |
| 2000 |
|---|
| 4 | Feature Subset Selection and Order Identification for Unsupervised Learning. Jennifer G. Dy, Carla E. Brodley. ICML 2000, 247-254. Web SearchBibTeX |
| 3 | Visualization and interactive feature selection for unsupervised data. Jennifer G. Dy, Carla E. Brodley. KDD 2000, 360-364. Web SearchBibTeXDownload |
| 1999 |
|---|
| 2 | Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision. Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Jennifer G. Dy, Lynn S. Broderick, Alex M. Aisen. AAAI/IAAI 1999, 760-767. Web SearchBibTeXDownload |
| 1 | The Customized-Queries Approach to CBIR Using EM. Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick. CVPR 1999, 2400-2406. Web SearchBibTeXDownload |
