Dy, Jennifer G.

30 publications

AAAI 2024 Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada Michael J. Wooldridge, Jennifer G. Dy, Sriraam Natarajan

AISTATS 2018 Crowdclustering with Partition Labels Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian D. Hobbs, Jennifer G. Dy

IJCAI 2018 Experimental Design Under the Bradley-Terry Model Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis

AISTATS 2018 Iterative Spectral Method for Alternative Clustering Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy

JMLR 2017 A Robust-Equitable Measure for Feature Ranking and Selection A. Adam Ding, Jennifer G. Dy, Yi Li, Yale Chang

JMLR 2017 Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning Jamshid Sourati, Murat Akcakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy

AISTATS 2017 Clustering from Multiple Uncertain Experts Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy

CVPRW 2017 Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks Alican Bozkurt, Trevor Gale, Kivanç Köse, Christi Alessi-Fox, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy

AAAI 2017 Informative Subspace Learning for Counterfactual Inference Yale Chang, Jennifer G. Dy

ICML 2017 Multiple Clustering Views from Multiple Uncertain Experts Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy

UAI 2016 A Generative Block-Diagonal Model for Clustering Junxiang Chen, Jennifer G. Dy

AISTATS 2016 A Robust-Equitable Copula Dependence Measure for Feature Selection Yale Chang, Yi Li, A. Adam Ding, Jennifer G. Dy

AAAI 2015 A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores Sarah Marie Brown, Andrea Webb, Rami Mangoubi, Jennifer G. Dy

MLJ 2015 MultiClust Special Issue on Discovering, Summarizing and Using Multiple Clusterings Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer G. Dy

MLJ 2014 Learning from Multiple Annotators with Varying Expertise Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy

ACML 2012 Local Kernel Density Ratio-Based Feature Selection for Outlier Detection Fatemeh Azmandian, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli

ICML 2011 A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection Yue Guan, Jennifer G. Dy, Michael I. Jordan

ICML 2011 Active Learning from Crowds Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy

ICML 2010 From Transformation-Based Dimensionality Reduction to Feature Selection Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy

UAI 2010 Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy

ICML 2010 Multiple Non-Redundant Spectral Clustering Views Donglin Niu, Jennifer G. Dy, Michael I. Jordan

IJCAI 2009 Multi-Class Classifiers and Their Underlying Shared Structure Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy

JMLR 2009 Using Local Dependencies Within Batches to Improve Large Margin Classifiers Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, Bharat Rao

ECML-PKDD 2006 Batch Classification with Applications in Computer Aided Diagnosis Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao

ICML 2004 A Hierarchical Method for Multi-Class Support Vector Machines Volkan Vural, Jennifer G. Dy

ICML 2004 Automated Hierarchical Mixtures of Probabilistic Principal Component Analyzers Ting Su, Jennifer G. Dy

JMLR 2004 Feature Selection for Unsupervised Learning Jennifer G. Dy, Carla E. Brodley

ICML 2000 Feature Subset Selection and Order Identification for Unsupervised Learning Jennifer G. Dy, Carla E. Brodley

AAAI 1999 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

CVPR 1999 The Customized-Queries Approach to CBIR Using EM Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick