Jennifer G. Dy

Orcid: 0000-0002-8430-134X

Affiliations:
  • Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA


According to our database1, Jennifer G. Dy authored at least 187 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
ADAPT to Robustify Prompt Tuning Vision Transformers.
CoRR, 2024

2023
Transforming Complex Problems Into K-Means Solutions.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Graph transfer learning.
Knowl. Inf. Syst., April, 2023

Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming.
CoRR, 2023

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning.
CoRR, 2023

Geometry of Score Based Generative Models.
CoRR, 2023

Divide and Compose with Score Based Generative Models.
CoRR, 2023

High-precision regressors for particle physics.
CoRR, 2023

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning.
Proceedings of the International Conference on Machine Learning, 2023

QueryForm: A Simple Zero-shot Form Entity Query Framework.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network.
IEEE Trans. Veh. Technol., 2022

Radio Frequency Fingerprinting on the Edge.
IEEE Trans. Mob. Comput., 2022

Spectral Ranking Regression.
ACM Trans. Knowl. Discov. Data, 2022

Sample complexity of rank regression using pairwise comparisons.
Pattern Recognit., 2022

Deep Bayesian Unsupervised Lifelong Learning.
Neural Networks, 2022

A Computational Neural Model for Mapping Degenerate Neural Architectures.
Neuroinformatics, 2022

SAIF: Sparse Adversarial and Interpretable Attack Framework.
CoRR, 2022

Explanation Uncertainty with Decision Boundary Awareness.
CoRR, 2022

Analyzing the Effects of Classifier Lipschitzness on Explainers.
CoRR, 2022

Explainable deep learning for insights in El Nino and river flows.
CoRR, 2022

SparCL: Sparse Continual Learning on the Edge.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Explanations of Black-Box Models based on Directional Feature Interactions.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Pruning Adversarially Robust Neural Networks without Adversarial Examples.
Proceedings of the IEEE International Conference on Data Mining, 2022

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Prompt for Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Layer-wise Networks Have Closed-Form Weights.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors.
IEEE Trans. Biomed. Eng., 2021

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.
PLoS Comput. Biol., 2021

Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net).
Medical Image Anal., 2021

Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection.
CoRR, 2021

On the Sample Complexity of Rank Regression from Pairwise Comparisons.
CoRR, 2021

Structurally Guided Channel Attention Networks: SGCA-Net.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Learning on Visual and Location Data for V2I mmWave Beamforming.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Deep Spectral Ranking.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Rate-Regularization and Generalization in Variational Autoencoders.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms.
IEEE Trans. Veh. Technol., 2020

Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery.
npj Digit. Medicine, 2020

Deep Learning for RF Fingerprinting: A Massive Experimental Study.
IEEE Internet Things Mag., 2020

Kernel Dependence Network.
CoRR, 2020

Layer-wise Learning of Kernel Dependence Networks.
CoRR, 2020

Deep Markov Spatio-Temporal Factorization.
CoRR, 2020

Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling.
CoRR, 2020

More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting.
IEEE Commun. Mag., 2020

Deep Kernel Learning for Clustering.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Neural Topographic Factor Analysis for fMRI Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Instance-wise Feature Grouping.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Machine Learning on Camera Images for Fast mmWave Beamforming.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Open-World Class Discovery with Kernel Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learn-Prune-Share for Lifelong Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Fast and Accurate Ranking Regression.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning.
IEEE Trans. Medical Imaging, 2019

Classification and comparison via neural networks.
Neural Networks, 2019

ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM.
J. Mach. Learn. Res., 2019

Evaluating Combinatorial Generalization in Variational Autoencoders.
CoRR, 2019

Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion.
CoRR, 2019

Solving Interpretable Kernel Dimension Reduction.
CoRR, 2019

Deep Kernel Learning for Clustering.
CoRR, 2019

Neural Topographic Factor Analysis for fMRI Data.
CoRR, 2019

Adaptive Nonparametric Variational Autoencoder.
CoRR, 2019

Accelerated Experimental Design for Pairwise Comparisons.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Solving Interpretable Kernel Dimensionality Reduction.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections.
Proceedings of the 2019 IEEE Military Communications Conference, 2019

A Severity Score for Retinopathy of Prematurity.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MAC ID Spoofing-Resistant Radio Fingerprinting.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning.
Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

Structured Disentangled Representations.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Variational Inference from Ranked Samples with Features.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Can VAEs Generate Novel Examples?
CoRR, 2018

Deep feature transfer between localization and segmentation tasks.
CoRR, 2018

A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images.
CoRR, 2018

Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Experimental Design under the Bradley-Terry Model.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Hybrid Approach to Identifying Key Factors in Environmental Health Studies.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Interactive Kernel Dimension Alternative Clustering on GPUs.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Iterative Spectral Method for Alternative Clustering.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Crowdclustering with Partition Labels.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.
IEEE Trans. Medical Imaging, 2017

A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin.
IEEE Trans. Image Process., 2017

Automated Target Detection for Geophysical Applications.
IEEE Trans. Geosci. Remote. Sens., 2017

Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data.
Medical Image Anal., 2017

Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning.
J. Mach. Learn. Res., 2017

A Robust-Equitable Measure for Feature Ranking and Selection.
J. Mach. Learn. Res., 2017

Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention.
CoRR, 2017

Clustering with Domain-Specific Usefulness Scores.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Multiple Clustering Views from Multiple Uncertain Experts.
Proceedings of the 34th International Conference on Machine Learning, 2017

Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Clustering from Multiple Uncertain Experts.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

Informative Subspace Learning for Counterfactual Inference.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Classification Active Learning Based on Mutual Information.
Entropy, 2016

Evaluating Crowdsourcing Participants in the Absence of Ground-Truth.
CoRR, 2016

A Generative Block-Diagonal Model for Clustering.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy.
Proceedings of the 1st Machine Learning in Health Care, 2016

A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Interpretable Clustering via Discriminative Rectangle Mixture Model.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Assessing subsets of analytes in context of detecting laboratory errors.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

A Robust-Equitable Copula Dependence Measure for Feature Selection.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Exploring image-based indicators of crime and economic well-being in sub-saharan Africa.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2015
MultiClust special issue on discovering, summarizing and using multiple clusterings.
Mach. Learn., 2015

Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Securing virtual execution environments through machine learning-based intrusion detection.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints.
IEEE Trans. Image Process., 2014

Editorial to the Special Issue of Selected Papers of SDM 2013.
Stat. Anal. Data Min., 2014

Iterative Discovery of Multiple AlternativeClustering Views.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Learning from multiple annotators with varying expertise.
Mach. Learn., 2014

Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier Detection.
J. Comput. Sci. Technol., 2014

System Call Anomaly Detection Using Multi-HMMs.
Proceedings of the IEEE Eighth International Conference on Software Security and Reliability, 2014

Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Airway labeling using a Hidden Markov Tree Model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Active learning from uncertain crowd annotations.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Nonparametric Mixture of Gaussian Processes with Constraints.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
A quantitative analytic pipeline for evaluating neuronal activities by high-throughput synaptic vesicle imaging.
NeuroImage, 2012

Active Learning from Multiple Knowledge Sources.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Local Kernel Density Ratio-Based Feature Selection for Outlier Detection.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

A Computational model for compressed sensing RNAi cellular screening.
BMC Bioinform., 2012

Constrained spectral clustering for image segmentation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Feature Weighting and Selection Using Hypothesis Margin of Boosting.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Virtual machine monitor-based lightweight intrusion detection.
ACM SIGOPS Oper. Syst. Rev., 2011

Dimensionality Reduction for Spectral Clustering.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Workload Characterization at the Virtualization Layer.
Proceedings of the MASCOTS 2011, 2011

A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Active Learning from Crowds.
Proceedings of the 28th International Conference on Machine Learning, 2011

A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection.
Proceedings of the 28th International Conference on Machine Learning, 2011

Longitudinal monitoring of patients with Parkinson's disease via wearable sensor technology in the home setting.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Quantitative synaptic vesicle imaging for evaluating neuron activities in neurodegenerative diseases.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Learning multiple nonredundant clusterings.
ACM Trans. Knowl. Discov. Data, 2010

MultiClust 2010: discovering, summarizing and using multiple clusterings.
SIGKDD Explor., 2010

A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology.
Proc. IEEE, 2010

Modeling annotator expertise: Learning when everybody knows a bit of something.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario.
Proceedings of the UAI 2010, 2010

Convex Principal Feature Selection.
Proceedings of the SIAM International Conference on Data Mining, 2010

Medical coding classification by leveraging inter-code relationships.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Multiple Non-Redundant Spectral Clustering Views.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

From Transformation-Based Dimensionality Reduction to Feature Selection.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors.
IEEE Trans. Inf. Technol. Biomed., 2009

An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models.
Neuroinformatics, 2009

Using Local Dependencies within Batches to Improve Large Margin Classifiers.
J. Mach. Learn. Res., 2009

Sparse Probabilistic Principal Component Analysis.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

A fuzzy logics clustering approach to computing human attention allocation using eyegaze movement cue.
Int. J. Hum. Comput. Stud., 2009

Localizing the Dermis/Epidermis Boundary in Reflectance Confocal Microscopy Images with a Hybrid Classification Algorithm.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Multi-Class Classifiers and their Underlying Shared Structure.
Proceedings of the IJCAI 2009, 2009

2008
Impact of imputation of missing values on classification error for discrete data.
Pattern Recognit., 2008

Fast semi-supervised SVM classifiers using <i>a priori</i> metric information.
Optim. Methods Softw., 2008

Learning methods for lung tumor markerless gating in image-guided radiotherapy.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
In search of deterministic methods for initializing K-means and Gaussian mixture clustering.
Intell. Data Anal., 2007

Non-redundant Multi-view Clustering via Orthogonalization.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Batch Classification with Applications in Computer Aided Diagnosis.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Evolving Feature Selection.
IEEE Intell. Syst., 2005

Enabling a Real-Time Solution for Neuron Detection with Reconfigurable Hardware.
Proceedings of the 16th IEEE International Workshop on Rapid System Prototyping (RSP 2005), 2005

A multinomial clustering model for fast simulation of computer architecture designs.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Enabling a RealTime Solution for Neuron Detection with Reconfigurable Hardware (abstract only).
Proceedings of the ACM/SIGDA 13th International Symposium on Field Programmable Gate Arrays, 2005

2004
Feature Selection for Unsupervised Learning.
J. Mach. Learn. Res., 2004

A Deterministic Method for Initializing K-Means Clustering.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

A hierarchical method for multi-class support vector machines.
Proceedings of the Machine Learning, 2004

Automated hierarchical mixtures of probabilistic principal component analyzers.
Proceedings of the Machine Learning, 2004

2003
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

2000
Visualization and interactive feature selection for unsupervised data.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Feature Subset Selection and Order Identification for Unsupervised Learning.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
Customized-queries approach to CBIR.
Proceedings of the Storage and Retrieval for Image and Video Databases VII, 1999

The Customized-Queries Approach to CBIR Using EM.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999


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