Joydeep Ghosh

According to our database1, Joydeep Ghosh authored at least 294 papers between 1987 and 2021.

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

Awards

IEEE Fellow

IEEE Fellow 2006, "For contributions to the theory and practice of multi-learner systems.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Biomedical Interpretable Entity Representations.
CoRR, 2021

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Biased Models Have Biased Explanations.
CoRR, 2020

FaiR-N: Fair and Robust Neural Networks for Structured Data.
CoRR, 2020


Explainable machine learning in deployment.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Detection and Visualization of Dense Subgroups at Multiple Resolutions in Large Social Networks.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
Combining clustering and active learning for the detection and learning of new image classes.
Neurocomputing, 2019

AdaHash: hashing-based scalable, adaptive hierarchical clustering of streaming data on Mapreduce frameworks.
Int. J. Data Sci. Anal., 2019

Vehicular Multi-object Tracking with Persistent Detector Failures.
CoRR, 2019

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems.
CoRR, 2019

CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models.
CoRR, 2019

Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

CP Tensor Decomposition with Cannot-Link Intermode Constraints.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

On Single Source Robustness in Deep Fusion Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Explaining Deep Classification of Time-Series Data with Learned Prototypes.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Scaling Data Association for Hypothesis-Oriented MHT.
Proceedings of the 22th International Conference on Information Fusion, 2019

Interpreting Black Box Predictions using Fisher Kernels.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization.
CoRR, 2018

xGEMs: Generating Examplars to Explain Black-Box Models.
CoRR, 2018

Co-regularized Monotone Retargeting for Semi-supervised LeTOR.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

A Dual Markov Chain Topic Model for Dynamic Environments.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Pedestrian Detection with Simplified Depth Prediction.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Non-parametric Discovery of Topics and Communities in Distributed and Streaming Environments.
Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Fully Supervised Non-Negative Matrix Factorization for Feature Extraction.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Measurement-Wise Occlusion in Multi-Object Tracking.
Proceedings of the 21st International Conference on Information Fusion, 2018

Bayesian Online Changepoint Detection Of Physiological Transitions.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Phenotyping through Semi-Supervised Tensor Factorization (PSST).
Proceedings of the AMIA 2018, 2018

Boosting Variational Inference: an Optimization Perspective.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Nonparametric Bayesian sparse graph linear dynamical systems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Active Learning with Multiple Localized Regression Models.
INFORMS J. Comput., 2017

Relaxed Oracles for Semi-Supervised Clustering.
CoRR, 2017

Semi-Supervised Active Clustering with Weak Oracles.
CoRR, 2017

LETOR Methods for Unsupervised Rank Aggregation.
Proceedings of the 26th International Conference on World Wide Web, 2017

A Deflation Method for Structured Probabilistic PCA.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Optimal alarms for vehicular collision detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

On Approximation Guarantees for Greedy Low Rank Optimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Granite: Diversified, Sparse Tensor Factorization for Electronic Health Record-Based Phenotyping.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

The obesity paradox in ICU patients.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

gamAID: Greedy CP tensor decomposition for supervised EHR-based disease trajectory differentiation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

PheKnow-Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature.
Proceedings of the Summit on Clinical Research Informatics, 2017

Computational Phenotyping on Diverse Data Sources.
Proceedings of the AMIA 2017, 2017

Information Projection and Approximate Inference for Structured Sparse Variables.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Greedy Feature Selection via Weak Submodularity.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Frequency Domain Predictive Modelling with Aggregated Data.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Rényi divergence minimization based co-regularized multiview clustering.
Mach. Learn., 2016

Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators.
Evol. Comput., 2016

ACDC: $α$-Carving Decision Chain for Risk Stratification.
CoRR, 2016

Graphical RNN Models.
CoRR, 2016

Monotone Retargeting for Unsupervised Rank Aggregation with Object Features.
CoRR, 2016

Preference Completion from Partial Rankings.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization.
Proceedings of the 1st Machine Learning in Health Care, 2016

Robust detection of non-motorized road users using deep learning on optical and LIDAR data.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

A distributed, collective intelligence framework for collision-free navigation through busy intersections.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Sparse Parameter Recovery from Aggregated Data.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Automated Verification of Phenotypes using PubMed.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

Evaluating Differences Between MIMIC II and III Critical Care Databases.
Proceedings of the AMIA 2016, 2016

2015
Building bridges across electronic health record systems through inferred phenotypic topics.
J. Biomed. Informatics, 2015

A differential evolution algorithm to optimise the combination of classifier and cluster ensembles.
Int. J. Bio Inspired Comput., 2015

Using metaheuristics to optimize the combination of classifier and cluster ensembles.
Integr. Comput. Aided Eng., 2015

Gamma Process Poisson Factorization for Joint Modeling of Network and Documents.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Unified View of Matrix Completion under General Structural Constraints.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Evaluation of Spin Lifetime in Thin-Body FETs: A High Performance Computing Approach.
Proceedings of the Large-Scale Scientific Computing - 10th International Conference, 2015

Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic Conditions Using Clinical Notes.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Simultaneous Prognosis of Multiple Chronic Conditions from Heterogeneous EHR Data.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Nonparametric Poisson Factorization Machine.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Sparse Submodular Probabilistic PCA.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Generalized Linear Models for Aggregated Data.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Parameter Estimation of Generalized Linear Models without Assuming their Link Function.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Privacy-Preserving Data Publishing Methods in Healthcare.
Proceedings of the Healthcare Data Analytics., 2015

2014
Septic Shock Prediction for Patients with Missing Data.
ACM Trans. Manag. Inf. Syst., 2014

Ensembles of (α)-Trees for Imbalanced Classification Problems.
IEEE Trans. Knowl. Data Eng., 2014

An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning.
ACM Trans. Knowl. Discov. Data, 2014

Face Detection on Distorted Images Augmented by Perceptual Quality-Aware Features.
IEEE Trans. Inf. Forensics Secur., 2014

PeGS: Perturbed Gibbs Samplers that Generate Privacy-Compliant Synthetic Data.
Trans. Data Priv., 2014

A constrained matrix-variate Gaussian process for transposable data.
Mach. Learn., 2014

Limestone: High-throughput candidate phenotype generation via tensor factorization.
J. Biomed. Informatics, 2014

MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Active Multitask Learning Using Both Latent and Supervised Shared Topics.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

On Prior Distributions and Approximate Inference for Structured Variables.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Exponential Family Matrix Completion under Structural Constraints.
Proceedings of the 31th International Conference on Machine Learning, 2014

Graph databases for large-scale healthcare systems: A framework for efficient data management and data services.
Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014

Face detection on distorted images using perceptual quality-aware features.
Proceedings of the Human Vision and Electronic Imaging XIX, 2014

A Hierarchical Ensemble of α-Trees for Predicting Expensive Hospital Visits.
Proceedings of the Brain Informatics and Health - International Conference, 2014

Extracting Phenotypes from Patient Claim Records Using Nonnegative Tensor Factorization.
Proceedings of the Brain Informatics and Health - International Conference, 2014

LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Competitive Learning With Pairwise Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2013

CUDIA: Probabilistic cross-level imputation using individual auxiliary information.
ACM Trans. Intell. Syst. Technol., 2013

Semisupervised Learning of Hyperspectral Data With Unknown Land-Cover Classes.
IEEE Trans. Geosci. Remote. Sens., 2013

A study of K-Means-based algorithms for constrained clustering.
Intell. Data Anal., 2013

The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking
CoRR, 2013

Constrained Bayesian Inference for Low Rank Multitask Learning.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Retargeted matrix factorization for collaborative filtering.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Learning Predictive Cognitive Structure from fMRI Using Supervised Topic Models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Noisy Matrix Completion Using Alternating Minimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Risk Prediction of a Multiple Sclerosis Diagnosis.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Constrained Gaussian Process Regression for Gene-Disease Association.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Blind image quality assessment without training on human opinion scores.
Proceedings of the Human Vision and Electronic Imaging XVIII, 2013

Multivariate temporal symptomatic characterization of cardiac arrest.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Identifying candidate disease genes using a trace norm constrained bipartite raking model.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Bayesian Structure Learning for Functional Neuroimaging.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

DYNACARE: Dynamic Cardiac Arrest Risk Estimation.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Cluster Ensembles: Theory and Applications.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Special issue on best of SIGKDD 2011.
ACM Trans. Knowl. Discov. Data, 2012

Blind Image Quality Assessment Without Human Training Using Latent Quality Factors.
IEEE Signal Process. Lett., 2012

Transfer Learning with Cluster Ensembles.
Proceedings of the Unsupervised and Transfer Learning, 2012

Dating Texts without Explicit Temporal Cues
CoRR, 2012

An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers
CoRR, 2012

Learning to Rank With Bregman Divergences and Monotone Retargeting.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Review quality aware collaborative filtering.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

A probabilistic imputation framework for predictive analysis using variably aggregated, multi-source healthcare data.
Proceedings of the ACM International Health Informatics Symposium, 2012

Discovering important people and objects for egocentric video summarization.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

EPIC: Efficient prediction of IC manufacturing hotspots with a unified meta-classification formulation.
Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012

2011
Cluster ensembles.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2011

Spatially Adaptive Classification of Land Cover With Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2011

Spatially adaptive semi-supervised learning with Gaussian processes for hyperspectral data analysis.
Stat. Anal. Data Min., 2011

A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Compact Ensemble Trees for Imbalanced Data.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Prediction of New Customer-Product Affinities from Rich Dyadic Data using Localized Models.
Proceedings of the Advances in Data Mining. 11th Industrial Conference, 2011

Temporal Distributed Learning with Heterogeneous Data Using Gaussian Mixtures.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers.
Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

SCOAL: A framework for simultaneous co-clustering and learning from complex data.
ACM Trans. Knowl. Discov. Data, 2010

Automated Hierarchical Density Shaving: A Robust Automated Clustering and Visualization Framework for Large Biological Data Sets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010

Nearest-Manifold Classification with Gaussian Processes.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets.
Proceedings of the ICDMW 2010, 2010

Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes.
Proceedings of the KDIR 2010, 2010

Actionable Mining of Large, Multi-relational Data Using Localized Predictive Models.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2010

Actionable Mining of Large, Multi-relational Data using Localized Predictive Models.
Proceedings of the KDIR 2010, 2010

Parallel Simultaneous Co-clustering and Learning with Map-Reduce.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A Decoupled Approach for Modeling Heterogeneous Dyadic Data with Covariates.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
A self-training approach to cost sensitive uncertainty sampling.
Mach. Learn., 2009

Spatially Cost-Sensitive Active Learning.
Proceedings of the SIAM International Conference on Data Mining, 2009

Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Multi-class Boosting with Class Hierarchies.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Mining for the most certain predictions from dyadic data.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

A scalable framework for discovering coherent co-clusters in noisy data.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes.
Proceedings of the ICDM Workshops 2009, 2009

MiPPS: A Generative Model for Multi-Manifold Clustering.
Proceedings of the Manifold Learning and Its Applications, 2009

2008
Bregman bubble clustering: A robust framework for mining dense clusters.
ACM Trans. Knowl. Discov. Data, 2008

An Active Learning Approach to Hyperspectral Data Classification.
IEEE Trans. Geosci. Remote. Sens., 2008

Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Analysing and improving clustering based sampling for microprocessor simulation.
Int. J. High Perform. Comput. Netw., 2008

Consensus-Based Ensembles of Soft Clusterings.
Appl. Artif. Intell., 2008

Enhanced hierarchical classification via isotonic smoothing.
Proceedings of the 17th International Conference on World Wide Web, 2008

A Text Retrieval Approach to Content-Based Audio Hashing.
Proceedings of the ISMIR 2008, 2008

Probabilistic frameworks for privacy-aware data mining.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

An Efficient Active Learning Algorithm with Knowledge Transfer for Hyperspectral Data Analysis.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A spam resistant family of concavo-convex ranks for link analysis.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation.
J. Mach. Learn. Res., 2007

Data Mining Technical Committee.
IEEE Comput. Intell. Mag., 2007

A framework for simultaneous co-clustering and learning from complex data.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Simultaneous Co-clustering and Modeling of Market Data.
Proceedings of the Advances in Data Mining. 7th Industrial Conference, 2007

Multiresolution manifold learning for classification of hyperspectral data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Generative Oversampling for Mining Imbalanced Datasets.
Proceedings of the 2007 International Conference on Data Mining, 2007

Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

2006
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2006

Scalable Clustering Algorithms with Balancing Constraints.
Data Min. Knowl. Discov., 2006

An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark Selection.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Automatic Construction of N-ary Tree Based Taxonomies.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Consensus Clustering for Detection of Overlapping Clusters in Microarray Data.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Similarity-Based Text Clustering: A Comparative Study.
Proceedings of the Grouping Multidimensional Data - Recent Advances in Clustering, 2006

2005
Investigation of the random forest framework for classification of hyperspectral data.
IEEE Trans. Geosci. Remote. Sens., 2005

A privacy-sensitive approach to distributed clustering.
Pattern Recognit. Lett., 2005

Generative model-based document clustering: a comparative study.
Knowl. Inf. Syst., 2005

Clustering with Bregman Divergences.
J. Mach. Learn. Res., 2005

Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
J. Mach. Learn. Res., 2005

Automatically learning document taxonomies for hierarchical classification.
Proceedings of the 14th international conference on World Wide Web, 2005

Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation.
Proceedings of the 17th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2005), 2005

Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

A distributed learning framework for heterogeneous data sources.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Model-based overlapping clustering.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Applying nonlinear manifold learning to hyperspectral data for land cover classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

Robust one-class clustering using hybrid global and local search.
Proceedings of the Machine Learning, 2005

CLUMP: A Scalable and Robust Framework for Structure Discovery.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Probabilistic Principal Surface Classifier.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

A Maximum Likelihood Framework for Integrating Taxonomies.
Proceedings of the Proceedings, 2005

2004
Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres.
IEEE Trans. Neural Networks, 2004

Adaptive Feature Spaces For Land Cover Classification With Limited Ground Truth Data.
Int. J. Pattern Recognit. Artif. Intell., 2004

Outlink estimation for pagerank computation under missing data.
Proceedings of the 13th international conference on World Wide Web, 2004

An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Integrating support vector machines in a hierarchical output space decomposition framework.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

An information theoretic analysis of maximum likelihood mixture estimation for exponential families.
Proceedings of the Machine Learning, 2004

2003
A Unified Framework for Model-based Clustering.
J. Mach. Learn. Res., 2003

Relationship-Based Clustering and Visualization for High-Dimensional Data Mining.
INFORMS J. Comput., 2003

Scalable, Balanced Model-based Clustering.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Generative model-based clustering of directional data.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

Privacy-preserving Distributed Clustering using Generative Models.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Robust Combining of Disparate Classifiers through Order Statistics.
Pattern Anal. Appl., 2002

Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis.
Pattern Anal. Appl., 2002

Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions.
J. Mach. Learn. Res., 2002

On Scaling Up Balanced Clustering Algorithms.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Multiclassifier Systems: Back to the Future.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Best bases Bayesian hierarchical classifier for hyperspectral data analysis.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Cluster Ensembles A Knowledge Reuse Framework for Combining Partitionings.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Best-bases feature extraction algorithms for classification of hyperspectral data.
IEEE Trans. Geosci. Remote. Sens., 2001

A Unified Model for Probabilistic Principal Surfaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Detecting Seasonal Trends and Cluster Motion Visualization for Very High Dimensional Transactional Data.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Evaluating the novelty of text-mined rules using lexical knowledge.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Value-balanced agglomerative connectivity clustering.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2001

2000
Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000.
SIGKDD Explor., 2000

Two-Dimensional Phase Unwrapping Using Neural Networks.
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

A Hierarchical Multiclassifier System for Hyperspectral Data Analysis.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A Scalable Approach to Balanced, High-Dimensional Clustering of Market-Baskets.
Proceedings of the High Performance Computing, 2000

Value-based customer grouping from large retail data sets.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2000

1999
Retinally reconstructed images: digital images having a resolution match with the human eye.
IEEE Trans. Syst. Man Cybern. Part A, 1999

Fast image classification using a sequence of visual fixations.
IEEE Trans. Syst. Man Cybern. Part B, 1999

Structurally adaptive modular networks for nonstationary environments.
IEEE Trans. Neural Networks, 1999

Symbolic Interpretation of Artificial Neural Networks.
IEEE Trans. Knowl. Data Eng., 1999

Effective supra-classifiers for knowledge base construction.
Pattern Recognit. Lett., 1999

Linear and Order Statistics Combiners for Pattern Classification
CoRR, 1999

Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer
CoRR, 1999

A versatile framework for labelling imagery with a large number of classes.
Proceedings of the International Joint Conference Neural Networks, 1999

A neural network based classifier and biofeedback device for improving clarinet tone-quality.
Proceedings of the International Joint Conference Neural Networks, 1999

Probabilistic principal surfaces.
Proceedings of the International Joint Conference Neural Networks, 1999

Visualization of radial basis function networks.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
A Supra-Classifier Architecture for Scalable Knowledge Reuse.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Retinally reconstructed images (RRIs): digital images having a resolution match with the human eye.
Proceedings of the Human Vision and Electronic Imaging III, 1998

1997
A mixture-of-experts framework for adaptive Kalman filtering.
IEEE Trans. Syst. Man Cybern. Part B, 1997

Complete memory structures for approximating nonlinear discrete-time mappings.
IEEE Trans. Neural Networks, 1997

Knowledge reuse in multiple classifier systems.
Pattern Recognit. Lett., 1997

Function Emulation Using Radial Basis Function Networks.
Neural Networks, 1997

Habituation based neural networks for spatio-temporal classification.
Neurocomputing, 1997

On Hebbian-like adaptation in heart muscle: a proposal for 'cardiac memory'.
Biol. Cybern., 1997

Evaluation and ordering of rules extracted from feedforward networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Regularization and error bars for the mixture of experts network.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

A scalable method for classifier knowledge reuse.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Multisensor Integration for Scene Classifiction: An Experiment in Human Form Detection.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1996
A Concurrent Architecture for Serializable Production Systems.
IEEE Trans. Parallel Distributed Syst., 1996

Scale-based clustering using the radial basis function network.
IEEE Trans. Neural Networks, 1996

Analysis of decision boundaries in linearly combined neural classifiers.
Pattern Recognit., 1996

Error Correlation and Error Reduction in Ensemble Classifiers.
Connect. Sci., 1996

A complex-valued associative memory for storing patterns as oscillatory states.
Biol. Cybern., 1996

Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Estimating the Bayes error rate through classifier combining.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Structural adaptation in mixture of experts.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Linear feature extractors based on mutual information.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Mutual information feature extractors for neural classifiers.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Advances in using hierarchical mixture of experts for signal classification.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Designing genetic algorithms for the state assignment problem.
IEEE Trans. Syst. Man Cybern., 1995

Ridge polynomial networks.
IEEE Trans. Neural Networks, 1995

Predictive Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM.
IEEE J. Sel. Areas Commun., 1995

Performance measurements of a concurrent production system architecture without global synchronization.
Proceedings of IPPS '95, 1995

Habituation based neural classifiers for spatio-temporal signals.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Distributed control schemes for fast arbitration in large crossbar networks.
IEEE Trans. Very Large Scale Integr. Syst., 1994

Concurrent Processing of Linearly Ordered Data Structures on Hypercube Multicomputers.
IEEE Trans. Parallel Distributed Syst., 1994

Repeated Computation of Global Functions in a Distributed Environment.
IEEE Trans. Parallel Distributed Syst., 1994

The M-Cache: A Message-Handling Mechanism for Multicomputer Systems.
Parallel Comput., 1994

A Comprehensive Analytical Model for Wormhole Routng in Multicomputer Systems.
J. Parallel Distributed Comput., 1994

OTA Based Neural Network Architectures with On-Chip Tuning of Synapses.
Proceedings of the Seventh International Conference on VLSI Design, 1994

Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM.
Proceedings of the Proceedings IEEE INFOCOM '94, 1994

Sequence Recognition by Input Anticipation.
Proceedings of the Seventh International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1994

1993
Performance Evaluation of a Parallel I/O Subsystem for Hypercube Multicomputers.
J. Parallel Distributed Comput., 1993

Pattern association and retrieval in a continuous neural system.
Biol. Cybern., 1993

Fault-Tolerant Arbitration in Multichip Crossbar Switches.
Proceedings of the Sixth International Conference on VLSI Design, 1993

Time optimal control using pi-sigma networks.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

A temporal memory network with state-dependent thresholds.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
Efficient Higher-Order Neural Networks for Classification and Function Approximation.
Int. J. Neural Syst., 1992

A Macroscopic Model of Neural Ensembles: Learning-Induced Oscillations in a Cell Assembly.
Int. J. Neural Syst., 1992

Stirling Networks: A Versatile Combinatorial Topology for Multiprocessor Systems.
Discret. Appl. Math., 1992

Multipath E-Cube Algorithms (MECA) for Adaptive Wormhole Routing and Broadcasting in itk-ary itn-Cubes.
Proceedings of the 6th International Parallel Processing Symposium, 1992

1991
The M-cache: a message-retrieving mechanism for multicomputer systems.
Proceedings of the Third IEEE Symposium on Parallel and Distributed Processing, 1991

Parallel I/O Subsystems for Distributed-Memory Multicomputers.
Proceedings of the Fifth International Parallel Processing Symposium, Proceedings, Anaheim, California, USA, April 30, 1991

1990
Rearrangeable operation of large crosspoint switching networks.
IEEE Trans. Commun., 1990

Multisensor fusion using neural networks.
Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing, 1990

Symmetry in Spite of Hierarchy.
Proceedings of the 10th International Conference on Distributed Computing Systems (ICDCS 1990), May 28, 1990

Reliable design of multichip nonblocking crossbars.
Proceedings of the 1990 IEEE International Conference on Computer Design: VLSI in Computers and Processors, 1990

1989
Mapping Neural Networks onto Message-Passing Multicomputers.
J. Parallel Distributed Comput., 1989

1988
Critical Issues in Mapping Neural Networks on Message-Passing Multicomputers.
Proceedings of the 15th Annual International Symposium on Computer Architecture, 1988

Reliable design of large crosspoint switching networks.
Proceedings of the Eighteenth International Symposium on Fault-Tolerant Computing, 1988

1987
Hypernet: A Communication-Efficient Architecture for Constructing Massively Parallel Computers.
IEEE Trans. Computers, 1987

Computer Architectures for Artificial Intelligence Processing.
Computer, 1987

Hypernet Architectures for Parallel Processing.
Proceedings of the International Conference on Parallel Processing, 1987


  Loading...