Ghosh, Joydeep - Department of Electrical and Computer Engineering, University of Texas at Austin

• Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
• Proceedings of the Seventh International Converence on Knowledge Discovery and Data Mining(KDD-Evaluating the Novelty of Text-Mined Rules
• Multi-class Boosting with Class Hierarchies Goo Jun and Joydeep Ghosh
• Model-based Overlapping Clustering Arindam Banerjee Chase Krumpelman
• 492 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 43, NO. 3, MARCH 2005 Investigation of the Random Forest Framework for
• Latent Factor Models for Web Recommender Systems
• Gaussian Processes for Classification Dept Computer Engineering, Cairo University
• Dimensionality Reduction by Minimum Margin Sreangsu Acharyya Joydeep Ghosh
• Symbolic Interpretation of Artificial Neural Networks ISMAIL TAHA and JOYDEEP GHOSH 1
• Automated Hierarchical Density Shaving: A Robust Automated Clustering and Visualization
• Bregman Bubble Clustering: A Robust Framework for Mining Dense Clusters
• IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 55, NO. 3, MARCH 2007 669 Application of Artificial Neural Networks
• 3408 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 44, NO. 11, NOVEMBER 2006 Exploiting Class Hierarchies for Knowledge
• Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data
• October 29, 2003 8:38 WSPC/INSTRUCTION FILE ij International Journal of Pattern Recognition and Artificial Intelligence
• 1368 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 39, NO. 7, JULY 2001 Best-Bases Feature Extraction Algorithms for
• Active Learning for Recommender Systems with Multiple Localized Meghana Deodhar, Joydeep Ghosh and Maytal Saar-Tsechansky
• Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
• ACTIVE LEARNING OF HYPERSPECTRAL DATA WITH SPATIALLY DEPENDENT LABEL ACQUISITION COSTS
• Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets Meghana Deodhar,Joydeep Ghosh,Gunjan Gupta
• Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data
• Consensus Based Ensembles of Soft Clusterings Kunal Punera
• Improved nonlinear manifold learning for land cover classification via intelligent landmark selection
• An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis
• Robust One-Class Clustering using Hybrid Global and Local Search Gunjan Gupta ggupta@ece.utexas.edu
• Applying Nonlinear Manifold Learning to Hyperspectral Data for Land Cover Classification
• Clustering with Bregman Divergences Arindam Banerjee
• Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data
• Adaptive Feature Selection for Hyperspectral Data Analysis Using a Binary
• A Comparative Study of Generative Models for Document Shi Zhong and Joydeep Ghosh
• Model-based Clustering with Soft Balancing Dept. of Computer Science and Engineering
• Knowledge Enhancement and Reuse with Radial Basis Function Networks
• Best Bases Bayesian Hierarchical Classifier for Hyperspectral Data Analysis Joseph T. Morgan1
• Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis
• Informal version for personal use Scalable Clustering
• Robust Order Statistics based Ensembles for
• SCOAL: A Framework for Simultaneous Co-clustering and Learning from Complex Data
• A Scalable Framework for Discovering Coherent Co-clusters in Keywords: co-clustering, cluster mining, feature selection
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• Mach Learn (2009) 76: 257270 DOI 10.1007/s10994-009-5131-9
• A Framework for Analyzing Skew in Evaluation Metrics Alexander Liu Joydeep Ghosh Cheryl Martin
• Generative Oversampling for Mining Imbalanced Datasets Alexander Liu, Joydeep Ghosh Member, IEEE, and Cheryl Martin Member, IEEE
• CLUSTERING AND VISUALIZATION OF HIGH-DIMENSIONAL BIOLOGICAL DATASETS USING A
• Automated Hierarchical Density Shaving and Gene DIVER Gunjan Gupta Alexander Liu Joydeep Ghosh
• AI Lessons Learned from Experiments in Insider Threat Detection Alexander Liu and Cheryl Martin and Tom Hetherington and Sara Matzner
• Machine Learning, 52, 119145, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands.
• Kernel k-means, Spectral Clustering and Normalized Cuts Inderjit S. Dhillon
• Clinton Isaac Jones Extending WebCrow into English
• SPATIALLY ADAPTIVE CLASSIFICATION OF HYPERSPECTRAL DATA WITH GAUSSIAN PROCESSES
• Increasing PageRank through Reinforcement Adrian K. Agogino
• Linear and Order Statistics Combiners for Pattern Classification
• A Fast Kernel-based Multilevel Algorithm for Graph Inderjit Dhillon
• Multiclassifier Systems: Back to the Future Joydeep Ghosh
• Automatic Construction of N-ary Tree Based Taxonomies Kunal Punera, Suju Rajan, Joydeep Ghosh
• Simultaneous Co-clustering and Modeling of Market Data
• Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data
• Consensus Clustering for Detection of Overlapping Clusters in Microarray Data Meghana Deodhar and Joydeep Ghosh
• An Overview of Radial Basis Function Networks Joydeep Ghosh and Arindam Nag
• Knowl Inf Syst (2008) 14:137 DOI 10.1007/s10115-007-0114-2
• IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 29, NO. 2, MARCH 1999 235 Fig. 16. Critical points for initially lifted pairs when < and 0 <
• PREDICTING GROUND-BASED AEROSOL OPTICAL DEPTH WITH SATELLITE IMAGES VIA GAUSSIAN PROCESSES
• Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
• SPATIALLY ADAPTED MANIFOLD LEARNING FOR CLASSIFICATION OF HYPERSPECTRAL IMAGERY WITH INSUFFICIENT LABELED DATA
• RANDOM FORESTS OF BINARY HIERARCHICAL CLASSIFIERS FOR ANALYSIS OF HYPERSPECTRAL DATA
• Advances in Fuzzy Clustering and Its Applications
• HMMs and Coupled HMMs for Multi-channel EEG Classification
• Adaptive and Neural Methods for Image Segmentation Joydeep Ghosh
• Data Mining and Knowledge Discovery, 13, 365395, 2006 c 2006 Springer Science + Business Media, LLC. Manufactured in the United States.
• Mining for Most Certain Predictions from Dyadic Data Meghana Deodhar
• CLUMP: A Scalable and Robust Framework for Structure Discovery Kunal Punera
• Robust Laplacian Eigenmaps Using Global Information Shounak Roychowdhury
• Pattern Analysis & Applications (2002)5:189200 Ownership and Copyright
• MoBIoS: The Molecular Biological Information System Daniel P. Miranker
• Pattern Analysis & Applications (2002)5:210220 Ownership and Copyright
• Machine Learning based Lithographic Hotspot Detection with Critical-Feature Extraction and Classification
• A Self-training Approach to Cost Sensitive Uncertainty Sampling
• A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
• ISMIR 2008 Session 3a Content-Based Retrieval, Categorization and Similarity 1 A TEXT RETRIEVAL APPROACH TO CONTENT-BASED AUDIO
• Enhanced Hierarchical Classification via Isotonic Kunal Punera
• Proceedings of the 2005 IEEE Workshop on Information Assurance
• Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification
• IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 1 Automated Hierarchical Density Shaving: A robust,
• Identifying Information in Stock Message Boards and Its Implications for Stock Market Bin Gu, Prabhudev Konana, Alex Liu, Balaji Rajagopalan, and Joydeep Ghosh
• IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 46, NO. 4, APRIL 2008 1231 An Active Learning Approach to Hyperspectral
• Scalable, Balanced Model-based Clustering and Joydeep Ghosh
• Required Prerequisite
• Predicting Success and Failure in Weight Loss Blogs through Natural Language Use
• Integrating Support Vector Machines in a Hierarchical Output Space Decomposition
• A Framework for Simultaneous Co-clustering and Learning from Complex Data
• A Maximum Likelihood Framework for Integrating Taxonomies Suju Rajan, Kunal Punera, and Joydeep Ghosh
• Revised January 2011 Spring 2011
• Knowledge Reuse in Multiple Classifier Kurt Dewitt Bollacker and Joydeep Ghosh
• Bayes Error Rate Estimation Using Classier Ensembles Kagan Tumer
• Microcomputer Computer Science
• Probabilistic Principal Surface Classifier Kuiyu Chang1
• A Probabilistic Approach to Privacy-sensitive Distributed Data Mining Srujana Merugu and Joydeep Ghosh
• Frequency Sensitive Competitive Learning for Clustering on High-dimensional Hyperspheres
• MiPPS: A Generative Model for Multi-Manifold Clustering Oluwasanmi Koyejo and Joydeep Ghosh
• A privacy-sensitive approach to distributed clustering Srujana Merugu *, Joydeep Ghosh
• A Framework for Simultaneous Co-clustering and Modeling of Dyadic Data
• IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. XX, NO. X, XXX XXXX 1 Frequency Sensitive Competitive Learning for
• Privacy-preserving Distributed Clustering using Generative Models Srujana Merugu and Joydeep Ghosh
• Geography and Friendship Joint work with
• Spatially Cost-sensitive Active Learning Alexander Liu
• A Framework for Simultaneous Co-clustering and Learning from Complex Data
• BIOINFORMATICS Vol. 19 no. 13 2003, pages 16121619
• AN EFFICIENT ACTIVE LEARNING ALGORITHM WITH KNOWLEDGE TRANSFER FOR HYPERSPECTRAL DATA ANALYSIS
• Automatically Learning Document Taxonomies for Hierarchical Classification
• Multiresolution Manifold Learning for Classification of Hyperspectral Data
• To appear in: Soft-computing and image processing, S.K. Pal and A. Ghosh, and M. K. Kundu, Eds., Springer-Verlag, 1999.1 Knowledge Reuse Mechanisms for
• Spatially Cost-sensitive Active Learning Alexander Liu
• Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
• Learning with Exploration John Langford (Yahoo!)
• 1 Clustering with Balancing Constraints 9 Arindam Banerjee and Joydeep Ghosh
• E ective Supra-Classi ers for Knowledge Base Construction ?
• Distributed Clustering with Limited Knowledge Sharing Joydeep Ghosh and Srujana Merugu
• Generative Model-based Document Clustering: A Comparative Department of Computer Science and Engineering
• Active Learning with Spatially Sensitive Labeling Alexander Liu
• Prediction of New Customer-Product Affinities from Rich Dyadic Data using Localized Models
• 2662 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 49, NO. 7, JULY 2011 Spatially Adaptive Classification of Land Cover
• Bregman Bubble Clustering: A Robust Framework for Mining Dense Clusters
• E: A Framework for Combining Ensembles of Classifiers and Clusterers
• A Generative Framework for Predictive Modeling using Variably Aggregated, Multi-source Healthcare Data
• Compact Ensemble Trees for Imbalanced Data Yubin Park and Joydeep Ghosh
• E: A Framework for Combining Ensembles of Classifiers and Clusterers
• Advanced Review Cluster ensembles
• SPATIALLY ADAPTIVE SEMI-SUPERVISED LEARNING WITH GAUSSIAN PROCESSES FOR HYPERSPECTRAL DATA ANALYSIS
• TKDD0403-11 ACM-TRANSACTION September 10, 2010 4:15 SCOAL: A Framework for Simultaneous
• Compact Ensemble Trees for Imbalanced Data Yubin Park and Joydeep Ghosh
• Learning Multiple Models for Exploiting Predictive Heterogeneity in Recommender Systems
• Scaling up Machine Learning Yahoo! Research
• Parallel Simultaneous Co-clustering and Learning with Map-Reduce Meghana Deodhar, Clinton Jones and Joydeep Ghosh
• Spectral learning algorithms for dynamical systems
• EPIC: Efficient Prediction of IC Manufacturing Hotspots With A Unified Meta-Classification Formulation
• Prediction of New Customer-Product Affinities from Rich Dyadic Data using Localized Models
• STRUCTURAL ADAPTATION AND GENERALIZATION IN SUPERVISED FEED-FORWARD NETWORKS
• A Probabilistic Imputation Framework for Predictive Analysis using Variably Aggregated, Multi-source
• Blind Image Quality Assessment Without Human Training Using Latent Quality Factors
• Parallel Simultaneous Co-clustering and Learning with Map-Reduce Meghana Deodhar, Clinton Jones and Joydeep Ghosh
• Temporal Distributed Learning with Heterogeneous Data Using Gaussian Mixtures
• A Decoupled Approach for Modeling Heterogeneous Dyadic Data with Covariates Meghana Deodhar and Joydeep Ghosh