Jennifer G. Dy

Stephen T. C. Wong, Jing Fan, Jennifer G. Dy, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Securing cloud storage systems through a virtual machine monitor

Jennifer G. Dy, David R. Kaeli, Dana Schaa, 2012, SRAS '12.

Using Local Dependencies within Batches to Improve Large Margin Classifiers

Jennifer G. Dy, Glenn Fung, R. Bharat Rao, 2009, J. Mach. Learn. Res..

Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy pdf

Carla E. Brodley, Jennifer G. Dy, Bilal Ahmed, 2016, MLHC.

Local Kernel Density Ratio-Based Feature Selection for Outlier Detection

Jennifer G. Dy, David R. Kaeli, Javed A. Aslam, 2012, ACML.

Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention pdf

Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks, 2017, ArXiv.

Convex Principal Feature Selection

Ying Cui, Jennifer G. Dy, Glenn Fung, 2010, SDM.

GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio

Jennifer G. Dy, David R. Kaeli, Ayse Yilmazer, 2012, 2012 IEEE 12th International Conference on Data Mining.

Enabling a real-time solution for neuron detection with reconfigurable hardware

Jennifer G. Dy, Miriam Leeser, Ben Cordes, 2005, 16th IEEE International Workshop on Rapid System Prototyping (RSP'05).

Multiple Clustering Views from Multiple Uncertain Experts

Jennifer G. Dy, Yale Chang, Junxiang Chen, 2017, ICML.

Assessing subsets of analytes in context of detecting laboratory errors

Murat Akçakaya, Deniz Erdogmus, Jennifer G. Dy, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Interpretable Clustering via Discriminative Rectangle Mixture Model

Brian Hobbs, Jennifer G. Dy, Yale Chang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology

Shyamal Patel, Paolo Bonato, Richard Hughes, 2010, Proceedings of the IEEE.

A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines

Carla E. Brodley, Jennifer G. Dy, Bilal Ahmed, 2016, KDD.

Active learning from uncertain crowd annotations

Jennifer G. Dy, Glenn Fung, Rómer Rosales, 2014, 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Application of a Quantitative Image Analysis Scale Using Deep Learning for Detection of Clinically Significant ROP

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2018 .

A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection

Michael I. Jordan, Jennifer G. Dy, Yue Guan, 2011, ICML.

A Petri-Net Based Pre-Runtime Scheduler for Dynamically Self-Reconfiguration of FPGAs

Kia Bazargan, Jennifer G. Dy, Manoel Eusebio de Lima, 2005 .

Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images

Carla E. Brodley, Jennifer G. Dy, Avinash C. Kak, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features

Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Constrained spectral clustering for image segmentation

Deniz Erdogmus, Jennifer G. Dy, Dana H. Brooks, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data

Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix, 2017, Medical Image Anal..

Learning multiple nonredundant clusterings

Ying Cui, Jennifer G. Dy, Xiaoli Z. Fern, 2010, TKDD.

In search of deterministic methods for initializing K-means and Gaussian mixture clustering

Ting Su, Jennifer G. Dy, Ting Su, 2007, Intell. Data Anal..

Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients

Carla E. Brodley, Jennifer G. Dy, Brian C. Healy, 2015, 2015 IEEE International Conference on Data Mining.

A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores

Jennifer G. Dy, Rami Mangoubi, Sarah Marie Brown, 2015, AAAI.

Medical coding classification by leveraging inter-code relationships

Jennifer G. Dy, Glenn Fung, Rómer Rosales, 2010, KDD.

The customized-queries approach to CBIR using EM

Carla E. Brodley, Chi-Ren Shyu, Jennifer G. Dy, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Artificial intelligence in retinopathy of prematurity (ROP): diagnostic performance of a supervised machine learning system (i-ROP ASSIST)

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2018 .

Can VAEs Generate Novel Examples? pdf

Jennifer G. Dy, Dana H. Brooks, Jan-Willem van de Meent, 2018, ArXiv.

Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors

Paolo Bonato, Jennifer G. Dy, Matt Welsh, 2009, IEEE Transactions on Information Technology in Biomedicine.

Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems

Jennifer G. Dy, David R. Kaeli, Javed A. Aslam, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Impact of imputation of missing values on classification error for discrete data

Lukasz A. Kurgan, Jennifer G. Dy, Alireza Farhangfar, 2008, Pattern Recognit..

Active Learning from Multiple Knowledge Sources

Jennifer G. Dy, Glenn Fung, Rómer Rosales, 2012, AISTATS.

Crowdclustering with Partition Labels

Brian Hobbs, Jennifer G. Dy, Yale Chang, 2018, AISTATS.

A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio

Murat Akcakaya, Deniz Erdogmus, Jennifer G. Dy, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive Nonparametric Variational Autoencoder pdf

Tingting Zhao, Jennifer G. Dy, Zifeng Wang, 2019, ArXiv.

Longitudinal monitoring of patients with Parkinson's disease via wearable sensor technology in the home setting

Shyamal Patel, Chiara Mancinelli, Paolo Bonato, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automated Target Detection for Geophysical Applications

Jennifer G. Dy, Uri Pe'er, Uri Pe'er, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning pdf

Murat Akçakaya, Deniz Erdogmus, Jennifer G. Dy, 2016, J. Mach. Learn. Res..

Enabling a Real-Time Solution for Neuron Detection with Reconfigurable Hardware

Jennifer G. Dy, Miriam Leeser, Ben Cordes, 2005, IEEE International Workshop on Rapid System Prototyping.

Classification and comparison via neural networks

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2019, Neural Networks.

Modeling annotator expertise: Learning when everybody knows a bit of something

Mark W. Schmidt, Gerardo Hermosillo, Jennifer G. Dy, 2010, AISTATS.

Variational Inference from Ranked Samples with Features

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2019, ACML.

A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin

Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks, 2018, MICCAI.

Iterative Spectral Method for Alternative Clustering

Xiangyu Li, Stratis Ioannidis, Jennifer G. Dy, 2018, AISTATS.

Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision

Carla E. Brodley, Chi-Ren Shyu, Jennifer G. Dy, 1999, AAAI/IAAI.

Active Learning from Crowds

Jennifer G. Dy, Glenn Fung, Rómer Rosales, 2011, ICML.

Feature Subset Selection and Order Identification for Unsupervised Learning

Carla E. Brodley, Jennifer G. Dy, C. Brodley, 2000, ICML.

Workload Characterization at the Virtualization Layer

Jennifer G. Dy, David R. Kaeli, Micha Moffie, 2011, 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems.

Classification Active Learning Based on Mutual Information

Murat Akçakaya, Deniz Erdogmus, Jennifer G. Dy, 2016, Entropy.

A Severity Score for Retinopathy of Prematurity

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2019, KDD.

Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks

Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Editorial to the Special Issue of Selected Papers of SDM 2013

Zhi-Hua Zhou, Jennifer G. Dy, Zhi-Hua Zhou, 2014, Stat. Anal. Data Min..

Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data

Jennifer G. Dy, David R. Kaeli, Micha Moffie, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Informative Subspace Learning for Counterfactual Inference

Jennifer G. Dy, Yale Chang, Yale Chang, 2017, AAAI.

A machine learning method for identifying morphological patterns in reflectance confocal microscopy mosaics of melanocytic skin lesions in-vivo

Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks, 2016, SPIE BiOS.

Localizing the dermis/epidermis boundary in reflectance confocal microscopy images with a hybrid classification algorithm

Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Exploring image-based indicators of crime and economic well-being in sub-saharan Africa

Jennifer G. Dy, John Irvine, Payden Mcbee, 2016, 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning

Simon K. Warfield, Jennifer G. Dy, Sila Kurugol, 2019, IEEE Transactions on Medical Imaging.

Automatic road surface defect detection from grayscale images

Ralf Birken, Jennifer G. Dy, Sindhu Ghanta, 2012, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Visualization and interactive feature selection for unsupervised data

Carla E. Brodley, Jennifer G. Dy, C. Brodley, 2000, KDD '00.

Instance-wise Feature Grouping

Jennifer G. Dy, Zifeng Wang, Tingting Zhao, 2020, NeurIPS.

Rate-Regularization and Generalization in VAEs

Jennifer G. Dy, Dana H. Brooks, Jan-Willem van de Meent, 2019 .

3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models

Jennifer G. Dy, Dana H. Brooks, Sila Kurugol, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views

Zoubin Ghahramani, Jennifer G. Dy, Donglin Niu, 2012, AISTATS.

Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier Detection

Jennifer G. Dy, David R. Kaeli, Ayse Yilmazer, 2014, Journal of Computer Science and Technology.

MultiClust special issue on discovering, summarizing and using multiple clusterings

Ira Assent, Emmanuel Müller, Thomas Seidl, 2014, Machine Learning.

Iterative Discovery of Multiple AlternativeClustering Views

Michael I. Jordan, Jennifer G. Dy, Donglin Niu, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Evaluating Combinatorial Generalization in Variational Autoencoders pdf

Jennifer G. Dy, Dana H. Brooks, Jan-Willem van de Meent, 2019, ArXiv.

Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin

Deniz Erdogmus, Jennifer G. Dy, Milind Rajadhyaksha, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A hierarchical method for multi-class support vector machines

Jennifer G. Dy, Volkan Vural, Volkan Vural, 2004, ICML.

Accelerated Experimental Design for Pairwise Comparisons pdf

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2019, SDM.

A Robust-Equitable Measure for Feature Ranking and Selection

Yi Li, Jennifer G. Dy, Yale Chang, 2017, J. Mach. Learn. Res..

Dimensionality Reduction for Spectral Clustering

Michael I. Jordan, Jennifer G. Dy, Donglin Niu, 2011, AISTATS.

Fast and Accurate Ranking Regression

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2020, AISTATS.

Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation

Simon K. Warfield, Jennifer G. Dy, Sila Kurugol, 2018, DLMIA/ML-CDS@MICCAI.

A Generative Block-Diagonal Model for Clustering

Jennifer G. Dy, Junxiang Chen, Junxiang Chen, 2016, UAI.

MO‐D‐ValB‐08: Fluoroscopic Tracking of Lung Tumor Mass Without Implanted Fiducial Markers

Jennifer G. Dy, Brian M. Alexander, Steve B Jiang, 2006 .

Machine learning for optical skin microscopy: a tutorial, current advances, and challenges (Conference Presentation)

Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks, 2019, Photonics in Dermatology and Plastic Surgery 2019.

Securing virtual execution environments through machine learning-based intrusion detection

Jennifer G. Dy, David R. Kaeli, Javed A. Aslam, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

Variational Inference for Nonparametric Multiple Clustering

Zoubin Ghahramani, Jennifer G. Dy, Yue Guan, 2010 .

A deterministic method for initializing K-means clustering

Ting Su, Jennifer G. Dy, Ting Su, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

From Transformation-Based Dimensionality Reduction to Feature Selection

Jennifer G. Dy, Glenn Fung, Mahdokht Masaeli, 2010, ICML.

Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease

Jennifer G. Dy, James C. Ross, Michael H. Cho, 2014, KDD.

An unsupervised machine learning method for delineating stratum corneum in reflectance confocal microscopy stacks of human skin in vivo

Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks, 2016, SPIE BiOS.

Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices

Yi Li, Jennifer G. Dy, Aidong Adam Ding, 2017, ACML.

A quantitative analytic pipeline for evaluating neuronal activities by high‐throughput synaptic vesicle imaging

Stephen T. C. Wong, Jennifer G. Dy, Jing Fan, 2012, NeuroImage.

Fast semi-supervised SVM classifiers using a priori metric information

Jennifer G. Dy, Glenn Fung, R. Bharat Rao, 2008, Optim. Methods Softw..

Evolving Feature Selection

Chris H. Q. Ding, Hanchuan Peng, Fuhui Long, 2005, IEEE Intell. Syst..

Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury

Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin

Michael I. Jordan, Jennifer G. Dy, Milind Rajadhyaksha, 2017, IEEE Transactions on Image Processing.

Deep feature transfer between localization and segmentation tasks pdf

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2018, ArXiv.

MultiClust 2010: discovering, summarizing and using multiple clusterings

Ian Davidson, Jennifer G. Dy, Xiaoli Z. Fern, 2011, SKDD.

Non-redundant Multi-view Clustering via Orthogonalization

Ying Cui, Jennifer G. Dy, Xiaoli Z. Fern, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Nonparametric Mixture of Gaussian Processes with Constraints

Jennifer G. Dy, James C. Ross, J. Ross, 2013, ICML.

Clustering from Multiple Uncertain Experts

Jennifer G. Dy, Yale Chang, Junxiang Chen, 2017, AISTATS.

Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2020, Translational vision science & technology.

Video-mosaicking of in vivo reflectance confocal microscopy images for noninvasive examination of skin lesion (Conference Presentation)

Jennifer G. Dy, Kivanc Kose, Milind Rajadhyaksha, 2017, BiOS.

Airway labeling using a Hidden Markov Tree Model

Jennifer G. Dy, Demian Wassermann, Raúl San José Estépar, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM

Jennifer G. Dy, Dana H. Brooks, Jaume Coll-Font, 2019, J. Mach. Learn. Res..

Multiple Non-Redundant Spectral Clustering Views

Michael I. Jordan, Jennifer G. Dy, Donglin Niu, 2010, ICML.

A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes

Jennifer G. Dy, Raúl San José Estépar, James C. Ross, 2017, IEEE Transactions on Medical Imaging.

Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data -- An Application to Climate Prediction

Jennifer G. Dy, Auroop R. Ganguly, Junxiang Chen, 2019, KDD.

Automated hierarchical mixtures of probabilistic principal component analyzers

Ting Su, Jennifer G. Dy, Ting Su, 2004, ICML.

Enhanced boosting-based algorithm for intrusion detection in virtual machine environments

David Kaeli, Jennifer G. Dy, Dana Schaa, 2012, SRAS '12.

Artificial intelligence in retinopathy of prematurity: development of a fully automated deep convolutional neural network (DeepROP) for plus disease diagnosis

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2018 .

Unsupervised Feature Selection

Jennifer G. Dy, 2007 .

Flexibility in problem solving: analysis and improvement

Daniel S. Messinger, Emiel Krahmer, Lieven Verschaffel, 2012 .

Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images

Deniz Erdogmus, Jennifer G. Dy, Dana H. Brooks, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models

Yong Zhang, Xiaobo Zhou, Stephen T. C. Wong, 2009, Neuroinformatics.

Solving Interpretable Kernel Dimensionality Reduction

Jennifer G. Dy, Mario Sznaier, Yale Chang, 2019, NeurIPS.

Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model

Yizhou Sun, Wei Dai, Jennifer G. Dy, 2015, SDM.

Clustering with Domain-Specific Usefulness Scores

Jennifer G. Dy, Yale Chang, Junxiang Chen, 2017, SDM.

Evaluating Crowdsourcing Participants in the Absence of Ground-Truth pdf

Subramanian Ramanathan, Jennifer G. Dy, Glenn Fung, 2016, ArXiv.

Non-parametric Bayesian mixture of sparse regressions with application towards feature selection for statistical downscaling

Zoran Obradovic, Jennifer G. Dy, Auroop R. Ganguly, 2014 .

A Hybrid Approach to Identifying Key Factors in Environmental Health Studies

Xiangyu Li, Jennifer G. Dy, David R. Kaeli, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Deep learning based classification of morphological patterns in RCM to guide noninvasive diagnosis of melanocytic lesions (Conference Presentation)

Jennifer G. Dy, Kivanc Kose, Milind Rajadhyaksha, 2017, BiOS.

Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation

Jennifer G. Dy, Dana H. Brooks, Sila Kurugol, 2010, 2010 20th International Conference on Pattern Recognition.

Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints

Deniz Erdogmus, Jennifer G. Dy, Dana H. Brooks, 2014, IEEE Transactions on Image Processing.

Semi-automated algorithm for localization of dermal/epidermal junction in reflectance confocal microscopy images of human skin

Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks, 2011, BiOS.

Batch Classification with Applications in Computer Aided Diagnosis

Jennifer G. Dy, Glenn Fung, R. Bharat Rao, 2006, ECML.

System Call Anomaly Detection Using Multi-HMMs

Jennifer G. Dy, David R. Kaeli, Esra N. Yolacan, 2014, 2014 IEEE Eighth International Conference on Software Security and Reliability-Companion.

Feature Selection for Unsupervised Learning

Carla E. Brodley, Jennifer G. Dy, C. Brodley, 2004, J. Mach. Learn. Res..

Customized-queries approach to CBIR

Carla E. Brodley, Chi-Ren Shyu, Jennifer G. Dy, 1998, Electronic Imaging.

Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario

Jennifer G. Dy, Glenn Fung, Rómer Rosales, 2010, UAI.

Sparse Probabilistic Principal Component Analysis

Jennifer G. Dy, Yue Guan, Yue Guan, 2009, AISTATS.

Radio Frequency Fingerprinting on the Edge

Stratis Ioannidis, Jennifer G. Dy, Runbin Shi, 2022, IEEE Transactions on Mobile Computing.

Explainable deep learning for insights in El Nino and river flows pdf

Jennifer G. Dy, Auroop R. Ganguly, Kate Duffy, 2022, ArXiv.

Layer-wise Learning of Kernel Dependence Networks pdf

Arthur Gretton, Jennifer G. Dy, Jennifer Dy, 2020, ArXiv.

Feature Subset Selection and Order Identiication for Unsupervised Learning

Jennifer G. Dy, C. Brodley, 2000 .

Home monitoring of patients with Parkinson's disease via wearable technology and a web-based application

Jennifer G. Dy, Doug J. McClure, M. Welsh, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin

Michael I. Jordan, Jennifer G. Dy, M. Rajadhyaksha, 2017, IEEE Transactions on Image Processing.

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

James M. Brown, Jennifer G. Dy, Andrew L Beers, 2018, JAMA ophthalmology.

Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering

Jennifer G. Dy, M. Rajadhyaksha, D. Brooks, 2017, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

Tracking Climate Change Opinions from Twitter Data

Jennifer G. Dy, A. Ganguly, S. Scyphers, 2014 .

Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2018, British Journal of Ophthalmology.

Feature selection for unsupervised learning applied to content-based image retrieval

Carla E. Brodley, Jennifer G. Dy, 2001 .

A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes

Jennifer G. Dy, Raúl San José Estépar, G. Washko, 2017, IEEE Transactions on Medical Imaging.

Orthogonal Principal Feature Selection

Jennifer G. Dy, 2008 .

Streaming Adaptive Nonparametric Variational Autoencoder

Jennifer G. Dy, A. Masoomi, Zifeng Wang, 2019 .

Physiological indices of challenge and threat: A data-driven investigation of autonomic nervous system reactivity during an active coping stressor task.

Jennifer G. Dy, L. F. Barrett, K. Quigley, 2019, Psychophysiology.

Machine Learning-based Biomarkers Identification and Validation from Toxicogenomics - Bridging to Regulatory Relevant Phenotypic Endpoints

Jennifer G. Dy, A. Alshawabkeh, D. Kaeli, 2020, bioRxiv.

Emotion Fingerprints or Emotion Populations? A Meta-Analytic Investigation of Autonomic Features of Emotion Categories

Jennifer G. Dy, Yale Chang, Wim Van den Noortgate, 2018, Psychological bulletin.

Feature Subset Selection and Order Identi cation for Unsupervised Learning

Carla E. Brodley, Jennifer G. Dy, C. Brodley, 2022 .

Lobar Emphysema Distribution Is Associated With 5‐Year Radiological Disease Progression

Eric A. Hoffman, Russell Bowler, Philip F. Judy, 2018, Chest.

Automated diagnosis of plus disease in retinopathy of prematurity using deep learning

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2018 .

Esophagus Segmentation in Thoracic CT Images for Radiotherapy Planning

Jennifer G. Dy, Dana H. Brooks, Sila Kurugol, 2009 .

Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning.

James M. Brown, Jennifer G. Dy, Deniz Erdoğmuş, 2019, JAMA ophthalmology.

Machine Learning Characterization of COPD Subtypes: Insights from the COPDGene Study.

Jennifer G. Dy, Raúl San José Estépar, E. Regan, 2019, Chest.

COPD subtypes identified by network-based clustering of blood gene expression.

Jennifer G. Dy, R. Bowler, E. Silverman, 2016, Genomics.

Identification of SNP-containing regulatory motifs in the myelodysplastic syndromes model using SNP arrays and gene expression arrays

Jennifer G. Dy, C. Chang, Xiaobo Zhou, 2013, Chinese journal of cancer.

Unsupervised Feature Selection

Jennifer G. Dy, 2007 .

COPDGene® 2019: Redefining the Diagnosis of Chronic Obstructive Pulmonary Disease.

Nicola A Hanania, Jennifer G. Dy, Raúl San José Estépar, 2019, Chronic obstructive pulmonary diseases.

Analyzing the Effects of Classifier Lipschitzness on Explainers

Jennifer G. Dy, A. Masoomi, Zulqarnain Khan, 2022, ArXiv.

Longitudinal Modeling of Lung Function Trajectories in Smokers with and without Chronic Obstructive Pulmonary Disease

Jennifer G. Dy, Raúl San José Estépar, G. Washko, 2018, American journal of respiratory and critical care medicine.

Identification of Chronic Obstructive Pulmonary Disease Axes That Predict All-Cause Mortality: The COPDGene Study

Jennifer G. Dy, Raúl San José Estépar, Stephanie A. Santorico, 2018, American journal of epidemiology.

Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier Detection

Jennifer G. Dy, J. Aslam, D. Kaeli, 2014, Journal of Computational Science and Technology.

Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion

Jennifer G. Dy, Auroop R. Ganguly, Jennifer Dy, 2020, KDD.

Phenotypic and genetic heterogeneity among subjects with mild airflow obstruction in COPDGene.

Jennifer G. Dy, E. Regan, E. Silverman, 2014, Respiratory medicine.

Tertiary lymphoid structures accompanied by fibrillary matrix morphology impact anti-tumor immunity in basal cell carcinomas

Jennifer G. Dy, A. Marghoob, M. Rajadhyaksha, 2022, Frontiers in Medicine.

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models

Jennifer G. Dy, E. Silverman, A. Masoomi, 2020, bioRxiv.

Automated video-mosaicking approach for confocal microscopic imaging in vivo: an approach to address challenges in imaging living tissue and extend field of view

Jennifer G. Dy, M. Rajadhyaksha, O. Camps, 2017, Scientific Reports.

Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy.

Jennifer G. Dy, Kivanc Kose, Milind Rajadhyaksha, 2019, The Journal of investigative dermatology.

A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After Treatment.

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2019, JAMA ophthalmology.

Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2018, Medical Imaging.

Multi-Class Classifiers and their Underlying Shared Structure

Jennifer G. Dy, Rómer Rosales, Glenn Fung, 2009, IJCAI.

Do COPD subtypes really exist? COPD heterogeneity and clustering in 10 independent cohorts

Jennifer G. Dy, R. Bowler, E. Silverman, 2017, Thorax.

Turning subtypes into disease axes to improve prediction of COPD progression

Jennifer G. Dy, J. Hokanson, E. Silverman, 2019, Thorax.

Automated delineation of dermal-epidermal junction in reflectance confocal microscopy image stacks of human skin.

Jennifer G. Dy, Kivanc Kose, Milind Rajadhyaksha, 2015, The Journal of investigative dermatology.

Validation study of automated dermal/epidermal junction localization algorithm in reflectance confocal microscopy images of skin

Jennifer G. Dy, Milind Rajadhyaksha, Sila Kurugol, 2012, Photonics West - Biomedical Optics.

Pilot study of semiautomated localization of the dermal/epidermal junction in reflectance confocal microscopy images of skin.

Jennifer G. Dy, Milind Rajadhyaksha, Sila Kurugol, 2011, Journal of biomedical optics.

Explanations of Black-Box Models based on Directional Feature Interactions

Jennifer G. Dy, E. Silverman, A. Masoomi, 2023, ICLR.

Machine Leaning-based Determination of Sampling Depth for Complex Environmental Systems: Case Study with Single-Cell Raman Spectroscopy Data in EBPR Systems

Jennifer G. Dy, Chieh Wu, D. Kaeli, 2020, bioRxiv.

Multiple template-based fluoroscopic tracking of lung tumor mass without implanted fiducial markers

Steve B. Jiang, Ying Cui, Jennifer G. Dy, 2007, Physics in medicine and biology.

A fuzzy logics clustering approach to computing human attention allocation using eyegaze movement cue

Jennifer G. Dy, G. Yang, Wenjun Chris Zhang, 2009, Int. J. Hum. Comput. Stud..

Formative Assessment and Improving Learning

Jennifer G. Dy, Marije van Amelsvoort, Andrew J. Martin, 2012 .

Tracking motor recovery in stroke survivors undergoing rehabilitation using wearable technology

Shyamal Patel, Paolo Bonato, Richard Hughes, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Deep Markov Spatio-Temporal Factorization

Jennifer G. Dy, Jan-Willem van de Meent, J. B. Hutchinson, 2020, ArXiv.

Semantic segmentation of reflectance confocal microscopy mosaics of pigmented lesions using weak labels

Jennifer G. Dy, M. Rajadhyaksha, D. Brooks, 2021, Scientific Reports.

Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting

Stratis Ioannidis, Jennifer G. Dy, Salvatore D’Oro, 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications.

A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions

Carla E. Brodley, Jennifer G. Dy, Yijun Zhao, 2020, EDM.

Explainable deep learning for insights in El Niño and river flows

Jennifer G. Dy, A. Ganguly, Kate Duffy, 2022, Nature Communications.

Layer-wise Learning of Kernel Dependence Networks

Jennifer G. Dy, A. Gretton, Chieh-Tsai Wu, 2020, arXiv.org.

Deep Learning for RF Fingerprinting: A Massive Experimental Study

Stratis Ioannidis, Jennifer G. Dy, Andrey Gritsenko, 2020, IEEE Internet of Things Magazine.

Transforming Complex Problems Into K-Means Solutions

Jennifer G. Dy, Y. Fu, Hongfu Liu, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Markerless gating for lung cancer radiotherapy based on machine learning techniques

Steve B. Jiang, Jennifer G. Dy, Steve B Jiang, 2009, Physics in medicine and biology.

Rate-Regularization and Generalization in VAEs

Jennifer G. Dy, J.-W. van de Meent, D. Brooks, 2019 .

Active Learning from Multiple Knowledge Sources

Jennifer G. Dy, R. B. Rao, Rómer Rosales, 2012, AISTATS.

Flexibility in problem solving: analysis and improvement

Jennifer G. Dy, D. Osherson, M. Craske, 2011 .

Solving Interpretable Kernel Dimension Reduction pdf

Jennifer G. Dy, Mario Sznaier, Yale Chang, 2019, NeurIPS.