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)

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)

Customized-queries approach to CBIR. - Jennifer G. Dy; Carla E. Brodley; Avinash C. Kak; Chi-Ren Shyu; Lynn S. Broderick (Storage and Retrieval for Image and Video Databases (SPIE), 1999)

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

Visualization and interactive feature selection for unsupervised data. - Jennifer G. Dy; Carla E. Brodley (KDD, 2000)

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., 2003)

Automated hierarchical mixtures of probabilistic principal component analyzers. - Ting Su 002; Jennifer G. Dy (ICML, 2004)

A hierarchical method for multi-class support vector machines. - Volkan Vural; Jennifer G. Dy (ICML, 2004)

A Deterministic Method for Initializing K-Means Clustering. - Ting Su 002; Jennifer G. Dy (ICTAI, 2004)

Feature Selection for Unsupervised Learning. - Jennifer G. Dy; Carla E. Brodley (J. Mach. Learn. Res., 2004)

Enabling a RealTime Solution for Neuron Detection with Reconfigurable Hardware (abstract only). - Ben Cordes; Jennifer G. Dy; Miriam Leeser; James Goebel (FPGA, 2005)

A multinomial clustering model for fast simulation of computer architecture designs. - Kaushal Sanghai; Ting Su 002; Jennifer G. Dy; David R. Kaeli (KDD, 2005)

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)

Evolving Feature Selection. - Huan Liu 001; 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 002; Lei Yu 001; et al. (IEEE Intell. Syst., 2005)

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

Non-redundant Multi-view Clustering via Orthogonalization. - Ying Cui; Xiaoli Z. Fern; Jennifer G. Dy (ICDM, 2007)

In search of deterministic methods for initializing K-means and Gaussian mixture clustering. - Ting Su 002; Jennifer G. Dy (Intell. Data Anal., 2007)

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)

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)

Fast semi-supervised SVM classifiers using a priori metric information. - Volkan Vural; Glenn Fung; Jennifer G. Dy; Bharat Rao (Optim. Methods Softw., 2008)

Impact of imputation of missing values on classification error for discrete data. - Alireza Farhangfar; Lukasz A. Kurgan; Jennifer G. Dy (Pattern Recognit., 2008)

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

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)

A fuzzy logics clustering approach to computing human attention allocation using eyegaze movement cue. - Yingzi Lin; Wen-Jun Zhang 005; Chieh Wu; G. Yang; Jennifer G. Dy (Int. J. Hum. Comput. Stud., 2009)

Sparse Probabilistic Principal Component Analysis. - Yue Guan 001; Jennifer G. Dy (AISTATS, 2009)

Using Local Dependencies within Batches to Improve Large Margin Classifiers. - Volkan Vural; Glenn Fung; Balaji Krishnapuram; Jennifer G. Dy; R. Bharat Rao (J. Mach. Learn. Res., 2009)

An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models. - Jing Fan; Xiaobo Zhou 001; Jennifer G. Dy; Yong Zhang 050; Stephen T. C. Wong (Neuroinformatics, 2009)

Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors. - Shyamal Patel; Konrad Lorincz; Richard Hughes; Nancy Huggins; John Growdon; David G. Standaert; Metin Akay; Jennifer G. Dy; Matt Welsh; Paolo Bonato (IEEE Trans. Inf. Technol. Biomed., 2009)

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

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

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)

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)

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)

Medical coding classification by leveraging inter-code relationships. - Yan Yan 024; Glenn Fung; Jennifer G. Dy; Rómer Rosales (KDD, 2010)

Convex Principal Feature Selection. - Mahdokht Masaeli; Yan Yan 024; Ying Cui; Glenn Fung; Jennifer G. Dy (SDM, 2010)

Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. - Yan Yan 024; Rómer Rosales; Glenn Fung; Jennifer G. Dy (UAI, 2010)

Modeling annotator expertise: Learning when everybody knows a bit of something. - Yan Yan 024; Rómer Rosales; Glenn Fung; Mark Schmidt 001; Gerardo Hermosillo Valadez; Luca Bogoni; Linda Moy; Jennifer G. Dy (AISTATS, 2010)

A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology. - Shyamal Patel; Richard Hughes; Todd Hester; Joel Stein; Metin Akay; Jennifer G. Dy; Paolo Bonato (Proc. IEEE, 2010)

MultiClust 2010: discovering, summarizing and using multiple clusterings. - Xiaoli Z. Fern; Ian Davidson; Jennifer G. Dy (SIGKDD Explor., 2010)

Learning multiple nonredundant clusterings. - Ying Cui; Xiaoli Z. Fern; Jennifer G. Dy (ACM Trans. Knowl. Discov. Data, 2010)

Quantitative synaptic vesicle imaging for evaluating neuron activities in neurodegenerative diseases. - Jing Fan; Xiaofeng Xia; Jennifer G. Dy; Stephen T. C. Wong (ACSCC, 2011)

Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images. - Sila Kurugol; Erhan Bas; Deniz Erdogmus; Jennifer G. Dy; Gregory C. Sharp; Dana H. Brooks (EMBC, 2011)

Longitudinal monitoring of patients with Parkinson's disease via wearable sensor technology in the home setting. - Shyamal Patel; Bor-rong Chen; Chiara Mancinelli; Sabrina Paganoni; Ludy Shih; Matt Welsh; Jennifer G. Dy; Paolo Bonato (EMBC, 2011)

A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection. - Yue Guan 001; Jennifer G. Dy; Michael I. Jordan (ICML, 2011)

Active Learning from Crowds. - Yan Yan 024; Rómer Rosales; Glenn Fung; Jennifer G. Dy (ICML, 2011)

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)

A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments. - Malak Alshawabkeh; Javed A. Aslam; David R. Kaeli; Jennifer G. Dy (ICTAI, 2011)

Workload Characterization at the Virtualization Layer. - Fatemeh Azmandian; Micha Moffie; Jennifer G. Dy; Javed A. Aslam; David R. Kaeli (MASCOTS, 2011)

Dimensionality Reduction for Spectral Clustering. - Donglin Niu; Jennifer G. Dy; Michael I. Jordan (AISTATS, 2011)

Virtual machine monitor-based lightweight intrusion detection. - Fatemeh Azmandian; Micha Moffie; Malak Alshawabkeh; Jennifer G. Dy; Javed A. Aslam; David R. Kaeli (ACM SIGOPS Oper. Syst. Rev., 2011)

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)

Feature Weighting and Selection Using Hypothesis Margin of Boosting. - Malak Alshawabkeh; Javed A. Aslam; Jennifer G. Dy; David R. Kaeli (ICDM, 2012)

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)

Constrained spectral clustering for image segmentation. - Jamshid Sourati; Dana H. Brooks; Jennifer G. Dy; Deniz Erdogmus (MLSP, 2012)

A Computational model for compressed sensing RNAi cellular screening. - Hua Tan; Jing Fan; Jiguang Bao; Jennifer G. Dy; Xiaobo Zhou 001 (BMC Bioinform., 2012)

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

A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views. - Donglin Niu; Jennifer G. Dy; Zoubin Ghahramani (AISTATS, 2012)

Active Learning from Multiple Knowledge Sources. - Yan Yan 024; Rómer Rosales; Glenn Fung; Faisal Farooq; Bharat Rao; Jennifer G. Dy (AISTATS, 2012)

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, 2012)

Nonparametric Mixture of Gaussian Processes with Constraints. - James C. Ross; Jennifer G. Dy (ICML (3), 2013)

Active learning from uncertain crowd annotations. - Yan Yan 024; Rómer Rosales; Glenn Fung; Jennifer G. Dy (Allerton, 2014)

Airway labeling using a Hidden Markov Tree Model. - James C. Ross; Alejandro A. Díaz 001; Yuka Okajima; Demian Wassermann; George R. Washko; Jennifer G. Dy; Raúl San José Estépar (ISBI, 2014)

Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease. - James C. Ross; Peter J. Castaldi; Michael H. Cho; Jennifer G. Dy (KDD, 2014)

System Call Anomaly Detection Using Multi-HMMs. - Esra Nergis Yolaçan; Jennifer G. Dy; David R. Kaeli (SERE (Companion), 2014)

Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier Detection. - Fatemeh Azmandian; Ayse Yilmazer; Jennifer G. Dy; Javed A. Aslam; David R. Kaeli (J. Comput. Sci. Technol., 2014)

Learning from multiple annotators with varying expertise. - Yan Yan 024; Rómer Rosales; Glenn Fung; Subramanian Ramanathan; Jennifer G. Dy (Mach. Learn., 2014)

Iterative Discovery of Multiple AlternativeClustering Views. - Donglin Niu; Jennifer G. Dy; Michael I. Jordan (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Editorial to the Special Issue of Selected Papers of SDM 2013. - Jennifer G. Dy; Zhi-Hua Zhou (Stat. Anal. Data Min., 2014)

Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints. - Jamshid Sourati; Deniz Erdogmus; Jennifer G. Dy; Dana H. Brooks (IEEE Trans. Image Process., 2014)

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 (AAAI, 2015)

Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients. - Yijun Zhao; Tanuja Chitnis; Brian C. Healy; Jennifer G. Dy; Carla E. Brodley (ICDM, 2015)

Securing virtual execution environments through machine learning-based intrusion detection. - Fatemeh Azmandian; David R. Kaeli; Jennifer G. Dy; Javed A. Aslam (MLSP, 2015)

Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury. - Matineh Shaker; Deniz Erdogmus; Jennifer G. Dy; Sylvain Bouix (MLSP, 2015)

Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. - Junxiang Chen; Wei Dai; Yizhou Sun; Jennifer G. Dy (SDM, 2015)

MultiClust special issue on discovering, summarizing and using multiple clusterings. - Emmanuel Müller; Ira Assent; Stephan Günnemann; Thomas Seidl 001; Jennifer G. Dy (Mach. Learn., 2015)

Exploring image-based indicators of crime and economic well-being in sub-saharan Africa. - Payden Mcbee; Jennifer G. Dy; John Irvine 001 (AIPR, 2016)

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

Assessing subsets of analytes in context of detecting laboratory errors. - Jamshid Sourati; Steven C. Kazmierczak; Murat Akçakaya; Jennifer G. Dy; Todd K. Leen; Deniz Erdogmus (EMBC, 2016)

Interpretable Clustering via Discriminative Rectangle Mixture Model. - Junxiang Chen; Yale Chang; Brian D. Hobbs; Peter J. Castaldi; Michael H. Cho; Edwin K. Silverman; Jennifer G. Dy (ICDM, 2016)

A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines. - Yijun Zhao; Bilal Ahmed; Thomas Thesen; Karen E. Blackmon; Jennifer G. Dy; Carla E. Brodley; Ruben Kuzniecky; Orrin Devinsky (KDD, 2016)

Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy. - Bilal Ahmed; Thomas Thesen; Karen E. Blackmon; Ruben Kuzniecky; Orrin Devinsky; Jennifer G. Dy; Carla E. Brodley (MLHC, 2016)

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

Evaluating Crowdsourcing Participants in the Absence of Ground-Truth. - Ramanathan Subramanian; Rómer Rosales; Glenn Fung; Jennifer G. Dy (CoRR, 2016)

Classification Active Learning Based on Mutual Information. - Jamshid Sourati; Murat Akçakaya; Jennifer G. Dy; Todd K. Leen; Deniz Erdogmus (Entropy, 2016)

Informative Subspace Learning for Counterfactual Inference. - Yale Chang; Jennifer G. Dy (AAAI, 2017)

Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices. - Yi Li; Aidong Adam Ding; Jennifer G. Dy (ACML, 2017)

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

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

Clustering with Domain-Specific Usefulness Scores. - Yale Chang; Junxiang Chen; Michael H. Cho; Peter J. Castaldi; Edwin K. Silverman; Jennifer G. Dy (SDM, 2017)

Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention. - Alican Bozkurt; Kivanç Köse; Jaume Coll-Font; Christi Alessi-Fox; Dana H. Brooks; Jennifer G. Dy; Milind Rajadhyaksha (CoRR, 2017)

A Robust-Equitable Measure for Feature Ranking and Selection. - A. Adam Ding; Jennifer G. Dy; Yi Li; Yale Chang (J. Mach. Learn. Res., 2017)

Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning. - Jamshid Sourati; Murat Akçakaya; Todd K. Leen; Deniz Erdogmus; Jennifer G. Dy (J. Mach. Learn. Res., 2017)

Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data. - Matineh Shaker; Deniz Erdogmus; Jennifer G. Dy; Sylvain Bouix (Medical Image Anal., 2017)

Automated Target Detection for Geophysical Applications. - Uri Pe'er; Jennifer G. Dy (IEEE Trans. Geosci. Remote. Sens., 2017)

A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin. - Sindhu Ghanta; Michael I. Jordan; Kivanç Köse; Dana H. Brooks; Milind Rajadhyaksha; Jennifer G. Dy (IEEE Trans. Image Process., 2017)

A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes. - James C. Ross; Peter J. Castaldi; Michael H. Cho; Junxiang Chen; Yale Chang; Jennifer G. Dy; Edwin K. Silverman; George R. Washko; Raúl San José Estépar (IEEE Trans. Medical Imaging, 2017)

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

Iterative Spectral Method for Alternative Clustering. - Chieh Wu; Stratis Ioannidis; Mario Sznaier; Xiangyu Li 006; David R. Kaeli; Jennifer G. Dy (AISTATS, 2018)

Interactive Kernel Dimension Alternative Clustering on GPUs. - Xiangyu Li 006; Chieh Wu; Shi Dong 002; Jennifer G. Dy; David R. Kaeli (ASONAM, 2018)

A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. - Shi Dong 002; Zlatan Feric; Xiangyu Li 006; Sheikh Mokhlesur Rahman; Guangyu Li; Chieh Wu; April Z. Gu; Jennifer G. Dy; David R. Kaeli; John Meeker; Ingrid Y. Padilla; José Cordero; et al. (IEEE BigData, 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 (IJCAI, 2018)

Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. - Thomas Vandal; Evan Kodra; Jennifer G. Dy; Sangram Ganguly; Ramakrishna R. Nemani; Auroop R. Ganguly (KDD, 2018)

A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin. - Alican Bozkurt; Kivanç Köse; Christi Alessi-Fox; Melissa Gill; Jennifer G. Dy; Dana H. Brooks; Milind Rajadhyaksha (MICCAI (2), 2018)

Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation. - Jamshid Sourati; Ali Gholipour; Jennifer G. Dy; Sila Kurugol; Simon K. Warfield (DLMIA/ML-CDS@MICCAI, 2018)

A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images. - Kivanç Köse; Alican Bozkurt; Christi Alessi-Fox; Melissa Gill; Dana H. Brooks; Jennifer G. Dy; Milind Rajadhyaksha (CoRR, 2018)

Deep feature transfer between localization and segmentation tasks. - Szu-Yeu Hu; Andrew Beers; Ken Chang; Kathi Höbel; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Jennifer G. Dy; Michael F. Chiang; Jayashree Kalpathy-Cramer; James M. Brown 001 (CoRR, 2018)

Can VAEs Generate Novel Examples? - Alican Bozkurt; Babak Esmaeili 001; Dana H. Brooks; Jennifer G. Dy; Jan-Willem van de Meent (CoRR, 2018)

A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio. - Jamshid Sourati; Murat Akçakaya; Deniz Erdogmus; Todd K. Leen; Jennifer G. Dy (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Variational Inference from Ranked Samples with Features. - Yuan Guo; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (ACML, 2019)

Structured Disentangled Representations. - Babak Esmaeili 001; Hao Wu 020; Sarthak Jain; Alican Bozkurt; N. Siddharth 001; Brooks Paige; Dana H. Brooks; Jennifer G. Dy; Jan-Willem van de Meent (AISTATS, 2019)

Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. - Andrey Gritsenko; Zifeng Wang 002; Tong Jian; Jennifer G. Dy; Kaushik R. Chowdhury; Stratis Ioannidis (DySPAN, 2019)

MAC ID Spoofing-Resistant Radio Fingerprinting. - Tong Jian; Bruno Costa Rendon; Andrey Gritsenko; Jennifer G. Dy; Kaushik R. Chowdhury; Stratis Ioannidis (GlobalSIP, 2019)

Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. - Yumin Liu; Junxiang Chen; Auroop R. Ganguly; Jennifer G. Dy (KDD, 2019)

A Severity Score for Retinopathy of Prematurity. - Peng Tian; Yuan Guo; Jayashree Kalpathy-Cramer; Susan Ostmo; John Peter Campbell; Michael F. Chiang; Jennifer G. Dy; Deniz Erdogmus; Stratis Ioannidis (KDD, 2019)

Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections. - Kunal Sankhe; Kaushik R. Chowdhury; Francesco Restuccia 001; Salvatore D'Oro; Tong Jian; Zifeng Wang 002; Amani Al-Shawabka; Jennifer G. Dy; Tommaso Melodia; Stratis Ioannidis (MILCOM, 2019)

Solving Interpretable Kernel Dimensionality Reduction. - Chieh Wu; Jared Miller; Yale Chang; Mario Sznaier; Jennifer G. Dy (NeurIPS, 2019)

Accelerated Experimental Design for Pairwise Comparisons. - Yuan Guo; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (SDM, 2019)

Adaptive Nonparametric Variational Autoencoder. - Tingting Zhao; Zifeng Wang 002; Aria Masoomi; Jennifer G. Dy (CoRR, 2019)

Neural Topographic Factor Analysis for fMRI Data. - Eli Sennesh; Zulqarnain Khan; Jennifer G. Dy; Ajay B. Satpute; J. Benjamin Hutchinson; Jan-Willem van de Meent (CoRR, 2019)

Deep Kernel Learning for Clustering. - Chieh Wu; Zulqarnain Khan; Yale Chang; Stratis Ioannidis; Jennifer G. Dy (CoRR, 2019)

Solving Interpretable Kernel Dimension Reduction. - Chieh Wu; Jared Miller; Yale Chang; Mario Sznaier; Jennifer G. Dy (CoRR, 2019)

Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion. - Chieh Wu; Jared Miller; Yale Chang; Mario Sznaier; Jennifer G. Dy (CoRR, 2019)

Evaluating Combinatorial Generalization in Variational Autoencoders. - Alican Bozkurt; Babak Esmaeili 001; Dana H. Brooks; Jennifer G. Dy; Jan-Willem van de Meent (CoRR, 2019)

ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM. - Setareh Ariafar; Jaume Coll-Font; Dana H. Brooks; Jennifer G. Dy (J. Mach. Learn. Res., 2019)

Classification and comparison via neural networks. - Ilkay Yildiz; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; James M. Brown 001; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (Neural Networks, 2019)

Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning. - Jamshid Sourati; Ali Gholipour; Jennifer G. Dy; Xavier Tomas-Fernandez; Sila Kurugol; Simon K. Warfield (IEEE Trans. Medical Imaging, 2019)

Fast and Accurate Ranking Regression. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (AISTATS, 2020)

A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. - Yijun Zhao; Bryan Lackaye; Jennifer G. Dy; Carla E. Brodley (EDM, 2020)

Learn-Prune-Share for Lifelong Learning. - Zifeng Wang 002; Tong Jian; Kaushik R. Chowdhury; Yanzhi Wang 001; Jennifer G. Dy; Stratis Ioannidis (ICDM, 2020)

Open-World Class Discovery with Kernel Networks. - Zifeng Wang 002; Batool Salehi; Andrey Gritsenko; Kaushik R. Chowdhury; Stratis Ioannidis; Jennifer G. Dy (ICDM, 2020)

Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. - Shi Dong 002; Zlatan Feric; Guangyu Li; Chieh Wu; April Z. Gu; Jennifer G. Dy; John Meeker; Ingrid Y. Padilla; José Cordero; Carmen Velez Vega; Zaira Rosario; Akram Alshawabkeh; et al. (ICMLA, 2020)

Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting. - Amani Al-Shawabka; Francesco Restuccia 001; Salvatore D'Oro; Tong Jian; Bruno Costa Rendon; Nasim Soltani; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury; Tommaso Melodia (INFOCOM, 2020)

Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. - Yumin Liu; Auroop R. Ganguly; Jennifer G. Dy (KDD, 2020)

Machine Learning on Camera Images for Fast mmWave Beamforming. - Batool Salehi; Mauro Belgiovine; Sara Garcia Sanchez; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (MASS, 2020)

Instance-wise Feature Grouping. - Aria Masoomi; Chieh Wu; Tingting Zhao; Zifeng Wang 002; Peter J. Castaldi; Jennifer G. Dy (NeurIPS, 2020)

Neural Topographic Factor Analysis for fMRI Data. - Eli Sennesh; Zulqarnain Khan; Yiyu Wang; J. Benjamin Hutchinson; Ajay B. Satpute; Jennifer G. Dy; Jan-Willem van de Meent (NeurIPS, 2020)

Deep Kernel Learning for Clustering. - Chieh Wu; Zulqarnain Khan; Stratis Ioannidis; Jennifer G. Dy (SDM, 2020)

More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting. - Nasim Soltani; Kunal Sankhe; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Commun. Mag., 2020)

Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling. - Setareh Ariafar; Zelda Mariet; Ehsan Elhamifar; Dana H. Brooks; Jennifer G. Dy; Jasper Snoek (CoRR, 2020)

Deep Markov Spatio-Temporal Factorization. - Amirreza Farnoosh; Behnaz Rezaei; Eli Zachary Sennesh; Zulqarnain Khan; Jennifer G. Dy; Ajay B. Satpute; J. Benjamin Hutchinson; Jan-Willem van de Meent; Sarah Ostadabbas (CoRR, 2020)

Layer-wise Learning of Kernel Dependence Networks. - Chieh Wu; Aria Masoomi; Arthur Gretton; Jennifer G. Dy (CoRR, 2020)

Kernel Dependence Network. - Chieh Wu; Aria Masoomi; Arthur Gretton; Jennifer G. Dy (CoRR, 2020)

Deep Learning for RF Fingerprinting: A Massive Experimental Study. - Tong Jian; Bruno Costa Rendon; Emmanuel Ojuba; Nasim Soltani; Zifeng Wang 002; Kunal Sankhe; Andrey Gritsenko; Jennifer G. Dy; Kaushik R. Chowdhury; Stratis Ioannidis (IEEE Internet Things Mag., 2020)

Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery. - Catherine P. Adans-Dester; Nicolas Hankov; Anne T. O'Brien; Gloria Vergara-Diaz; Randie Black-Schaffer; Ross Zafonte; Jennifer G. Dy; Sunghoon Ivan Lee; Paolo Bonato (npj Digit. Medicine, 2020)

RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms. - Nasim Soltani; Guillem Reus Muns; Batool Salehi; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Trans. Veh. Technol., 2020)

Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling. - Setareh Ariafar; Zelda Mariet; Dana H. Brooks; Jennifer G. Dy; Jasper Snoek (AISTATS, 2021)

Rate-Regularization and Generalization in Variational Autoencoders. - Alican Bozkurt; Babak Esmaeili 001; Jean-Baptiste Tristan; Dana H. Brooks; Jennifer G. Dy; Jan-Willem van de Meent (AISTATS, 2021)

Deep Spectral Ranking. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (AISTATS, 2021)

Graph Transfer Learning. - Andrey Gritsenko; Yuan Guo; Kimia Shayestehfard; Armin Moharrer; Jennifer G. Dy; Stratis Ioannidis (ICDM, 2021)

Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. - Veysi Yildiz; Stratis Ioannidis; Ilkay Yildiz; Peng Tian; John Peter Campbell; Susan Ostmo; Jayashree Kalpathy-Cramer; Michael F. Chiang; Deniz Erdogmus; Jennifer G. Dy (ISBI, 2021)

Deep Learning on Visual and Location Data for V2I mmWave Beamforming. - Guillem Reus Muns; Batool Salehi; Debashri Roy; Tong Jian; Zifeng Wang 002; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (MSN, 2021)

Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. - Sandesh Ghimire; Aria Masoomi; Jennifer G. Dy (NeurIPS, 2021)

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. - Zifeng Wang 002; Tong Jian; Aria Masoomi; Stratis Ioannidis; Jennifer G. Dy (NeurIPS, 2021)

Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. - Peng Tian; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (PETRA, 2021)

Structurally Guided Channel Attention Networks: SGCA-Net. - Veysi Yildiz; Jennifer G. Dy; J. Peter Campbell; Susan Ostmo; Michael F. Chiang; Stratis Ioannidis; Deniz Erdogmus (PETRA, 2021)

On the Sample Complexity of Rank Regression from Pairwise Comparisons. - Berkan Kadioglu; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; Stratis Ioannidis (CoRR, 2021)

Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection. - Max Torop; Sandesh Ghimire; WenQian Liu; Dana H. Brooks; Octavia I. Camps; Milind Rajadhyaksha; Jennifer G. Dy; Kivanç Köse (CoRR, 2021)

Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net). - Kivanç Köse; Alican Bozkurt; Christi Alessi-Fox; Melissa Gill; Caterina Longo; Giovanni Pellacani; Jennifer G. Dy; Dana H. Brooks; Milind Rajadhyaksha (Medical Image Anal., 2021)

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models. - Zifeng Wang 002; Aria Masoomi; Zhonghui Xu; Adel Boueiz; Sool Lee; Tingting Zhao; Russell Bowler; Michael H. Cho; Edwin K. Silverman; Craig P. Hersh; Jennifer G. Dy; Peter J. Castaldi (PLoS Comput. Biol., 2021)

Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors. - Sunghoon Ivan Lee; Catherine P. Adans-Dester; Anne T. O'Brien; Gloria P. Vergara-Diaz; Randie Black-Schaffer; Ross Zafonte; Jennifer G. Dy; Paolo Bonato (IEEE Trans. Biomed. Eng., 2021)

Deep Layer-wise Networks Have Closed-Form Weights. - Chieh Tzu Wu; Aria Masoomi; Arthur Gretton; Jennifer G. Dy (AISTATS, 2022)

Learning to Prompt for Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Chen-Yu Lee; Han Zhang 010; Ruoxi Sun 002; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (CVPR, 2022)

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Sayna Ebrahimi; Ruoxi Sun 002; Han Zhang 010; Chen-Yu Lee; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (ECCV (26), 2022)

Pruning Adversarially Robust Neural Networks without Adversarial Examples. - Tong Jian; Zifeng Wang 002; Yanzhi Wang 001; Jennifer G. Dy; Stratis Ioannidis (ICDM, 2022)

Explanations of Black-Box Models based on Directional Feature Interactions. - Aria Masoomi; Davin Hill; Zhonghui Xu; Craig P. Hersh; Edwin K. Silverman; Peter J. Castaldi; Stratis Ioannidis; Jennifer G. Dy (ICLR, 2022)

SparCL: Sparse Continual Learning on the Edge. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Geng Yuan; Wei Niu 002; Tong Jian; Bin Ren 002; Stratis Ioannidis; Yanzhi Wang 001; Jennifer G. Dy (NeurIPS, 2022)

Explainable deep learning for insights in El Nino and river flows. - Yumin Liu; Kate Duffy; Jennifer G. Dy; Auroop R. Ganguly (CoRR, 2022)

Analyzing the Effects of Classifier Lipschitzness on Explainers. - Zulqarnain Khan; Aria Masoomi; Davin Hill; Jennifer G. Dy (CoRR, 2022)

Explanation Uncertainty with Decision Boundary Awareness. - Davin Hill; Aria Masoomi; Sandesh Ghimire; Max Torop; Jennifer G. Dy (CoRR, 2022)

SAIF: Sparse Adversarial and Interpretable Attack Framework. - Tooba Imtiaz; Morgan Kohler; Jared Miller; Zifeng Wang 002; Mario Sznaier; Octavia I. Camps; Jennifer G. Dy (CoRR, 2022)

A Computational Neural Model for Mapping Degenerate Neural Architectures. - Zulqarnain Khan; Yiyu Wang; Eli Sennesh; Jennifer G. Dy; Sarah Ostadabbas; Jan-Willem van de Meent; J. Benjamin Hutchinson; Ajay B. Satpute (Neuroinformatics, 2022)

Deep Bayesian Unsupervised Lifelong Learning. - Tingting Zhao; Zifeng Wang 002; Aria Masoomi; Jennifer G. Dy (Neural Networks, 2022)

Sample complexity of rank regression using pairwise comparisons. - Berkan Kadioglu; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; Stratis Ioannidis (Pattern Recognit., 2022)

Spectral Ranking Regression. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (ACM Trans. Knowl. Discov. Data, 2022)

Radio Frequency Fingerprinting on the Edge. - Tong Jian; Yifan Gong 004; Zheng Zhan 001; Runbin Shi; Nasim Soltani; Zifeng Wang 002; Jennifer G. Dy; Kaushik R. Chowdhury; Yanzhi Wang 001; Stratis Ioannidis (IEEE Trans. Mob. Comput., 2022)

Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. - Batool Salehi; Guillem Reus Muns; Debashri Roy; Zifeng Wang 002; Tong Jian; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Trans. Veh. Technol., 2022)

QueryForm: A Simple Zero-shot Form Entity Query Framework. - Zifeng Wang 002; Zizhao Zhang; Jacob Devlin; Chen-Yu Lee; Guolong Su; Hao Zhang; Jennifer G. Dy; Vincent Perot; Tomas Pfister (ACL (Findings), 2023)

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Yucai Shao; Stratis Ioannidis; Yanzhi Wang 001; Jennifer G. Dy (ICML, 2023)

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. - Max Torop; Aria Masoomi; Davin Hill; Kivanç Köse; Stratis Ioannidis; Jennifer G. Dy (NeurIPS, 2023)

Stone masonry design automation via reinforcement learning. - Sungku Kang; Jennifer G. Dy; Michael B. Kane (Artif. Intell. Eng. Des. Anal. Manuf., 2023)

High-precision regressors for particle physics. - Fady Bishara; Ayan Paul; Jennifer G. Dy (CoRR, 2023)

Divide and Compose with Score Based Generative Models. - Sandesh Ghimire; Armand Comas Massague; Davin Hill; Aria Masoomi; Octavia I. Camps; Jennifer G. Dy (CoRR, 2023)

Geometry of Score Based Generative Models. - Sandesh Ghimire; Jinyang Liu 005; Armand Comas Massague; Davin Hill; Aria Masoomi; Octavia I. Camps; Jennifer G. Dy (CoRR, 2023)

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. - Zifeng Wang 001; Zheng Zhan 001; Yifan Gong 004; Yucai Shao; Stratis Ioannidis; Yanzhi Wang 001; Jennifer G. Dy (CoRR, 2023)

Transforming Complex Problems Into K-Means Solutions. - Hongfu Liu 001; Junxiang Chen; Jennifer G. Dy; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Boundary-Aware Uncertainty for Feature Attribution Explainers. - Davin Hill; Aria Masoomi; Max Torop; Sandesh Ghimire; Jennifer G. Dy (AISTATS, 2024)

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions. - Zulqarnain Khan; Davin Hill; Aria Masoomi; Joshua T. Bone; Jennifer G. Dy (AISTATS, 2024)

Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. - Batool Salehi; Utku Demir; Debashri Roy; Suyash Pradhan; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE/ACM Trans. Netw., 2024)

Axiomatic Explainer Globalness via Optimal Transport. - Davin Hill; Joshua T. Bone; Aria Masoomi; Max Torop; Jennifer G. Dy (AISTATS, 2025)

STAR: Stability-Inducing Weight Perturbation for Continual Learning. - Masih Eskandar; Tooba Imtiaz; Davin Hill; Zifeng Wang 002; Jennifer G. Dy (ICLR, 2025)

ADAPT to Robustify Prompt Tuning Vision Transformers. - Masih Eskandar; Tooba Imtiaz; Zifeng Wang 002; Jennifer G. Dy (Trans. Mach. Learn. Res., 2025)

SAIF: Sparse Adversarial and Imperceptible Attack Framework. - Tooba Imtiaz; Morgan Kohler; Jared Miller; Zifeng Wang 002; Masih Eskandar; Mario Sznaier; Octavia I. Camps; Jennifer G. Dy (Trans. Mach. Learn. Res., 2025)

Dependency-aware Maximum Likelihood Estimation for Active Learning. - Beyza Kalkanli; Tales Imbiriba; Stratis Ioannidis; Deniz Erdogmus; Jennifer G. Dy (Trans. Mach. Learn. Res., 2025)

OrdShap: Feature Position Importance for Sequential Black-Box Models. - Davin Hill; Brian L. Hill; Aria Masoomi; Vijay S. Nori; Robert E. Tillman; Jennifer G. Dy (CoRR, 2025)

Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation. - Ziniu Zhang; Zhenshuo Zhang; Dongyue Li; Lu Wang 008; Jennifer G. Dy; Hongyang R. Zhang (CoRR, 2025)

Grounding Multimodal Large Language Models with Quantitative Skin Attributes: A Retrieval Study. - Max Torop; Masih Eskandar; Nicholas R. Kurtansky; Jinyang Liu 005; Jochen Weber 001; Octavia I. Camps; Veronica Rotemberg; Jennifer G. Dy; Kivanç Köse (CoRR, 2025)

DISCO: Disentangled Communication Steering for Large Language Models. - Max Torop; Aria Masoomi; Masih Eskandar; Jennifer G. Dy (CoRR, 2025)

LVT: Large-Scale Scene Reconstruction via Local View Transformers. - Tooba Imtiaz; Lucy Chai; Kathryn Heal; Xuan Luo; Jungyeon Park; Jennifer G. Dy; John Flynn (CoRR, 2025)

H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition. - Lukas Miklautz; Chengzhi Shi; Andrii Shkabrii; Theodoros-Thirimachos Davarakis; Prudence Lam; Claudia Plant; Jennifer G. Dy; Stratis Ioannidis (CoRR, 2025)