World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
38728
World Ranking
1541
National Ranking
799

Overview

Joydeep Ghosh is affiliated with The University of Texas at Austin in the United States. The primary field of their research is Computer Science, with a total of 40 publications across related areas.

The main subfields of study include:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Social Psychology

Key topics frequently addressed in their work are:

  • Explainable Artificial Intelligence (XAI)
  • Topic Modeling
  • Adversarial Robustness in Machine Learning
  • Time Series Analysis and Forecasting
  • Privacy-Preserving Technologies in Data
  • Machine Learning and Data Classification
  • Domain Adaptation and Few-Shot Learning

Recent papers authored or coauthored by Joydeep Ghosh include:

  • Host preference of bluetongue virus vectors, Culicoides species associated with livestock in West Bengal, India: Potential relevance on bluetongue epidemiology (2022) published in Acta Tropica
  • Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection (2022) published in Companion Proceedings of the Web Conference 2022
  • Architecture Agnostic Federated Learning for Neural Networks (2022) published on arXiv (Cornell University)
  • Federated Self-supervised Learning for Heterogeneous Clients (2022) published on arXiv (Cornell University)
  • Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series (2021) published on arXiv (Cornell University)

Frequent coauthors in their research collaborations include:

  • Xing Han
  • Disha Makhija
  • Nhat Ho
  • Diego García-Olano
  • Yasumasa Onoe

Joydeep Ghosh's works are prominently published in several venues, with the most frequent being:

  • arXiv (Cornell University)
  • Communications Medicine
  • Acta Tropica
  • Companion Proceedings of the Web Conference 2022
  • 2022 IEEE International Conference on Data Mining Workshops (ICDMW)

Best Publications

  • Top 10 algorithms in data mining

    Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh

  • Cluster ensembles --- a knowledge reuse framework for combining multiple partitions

    Alexander Strehl;Joydeep Ghosh

  • Clustering with Bregman Divergences

    Arindam Banerjee;Srujana Merugu;Inderjit S. Dhillon;Joydeep Ghosh

  • Investigation of the random forest framework for classification of hyperspectral data

    J. Ham;Yangchi Chen;M.M. Crawford;J. Ghosh

  • A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation

    Arindam Banerjee;Inderjit Dhillon;Joydeep Ghosh;Srujana Merugu

  • Clustering on the Unit Hypersphere using von Mises-Fisher Distributions

    Arindam Banerjee;Inderjit S. Dhillon;Joydeep Ghosh;Suvrit Sra

  • Impact of Similarity Measures on Web-page Clustering

    Alexander Strehl;Joydeep Ghosh;Raymond Mooney

  • Error Correlation and Error Reduction in Ensemble Classifiers

    Kagan Tumer;Joydeep Ghosh

  • Discovering important people and objects for egocentric video summarization

    Yong Jae Lee;Joydeep Ghosh;Kristen Grauman

  • Explainable machine learning in deployment

    Umang Bhatt;Alice Xiang;Shubham Sharma;Adrian Weller

  • Analysis of decision boundaries in linearly combined neural classifiers

    Kagan Tumer;Joydeep Ghosh

  • A unified framework for model-based clustering

    Shi Zhong;Joydeep Ghosh

  • The pi-sigma network: an efficient higher-order neural network for pattern classification and function approximation

    Y. Shin;J. Ghosh

  • Best-bases feature extraction algorithms for classification of hyperspectral data

    S. Kumar;J. Ghosh;M.M. Crawford

  • Cluster ensembles: a knowledge reuse framework for combining partitionings

    Alexander Strehl;Joydeep Ghosh

  • An Active Learning Approach to Hyperspectral Data Classification

    S. Rajan;J. Ghosh;M.M. Crawford

  • A Comprehensive Analytical Model for Wormhole Routing in Multicomputer Systems

    J.T. Draper;J. Ghosh

  • Model-based overlapping clustering

    Arindam Banerjee;Chase Krumpelman;Joydeep Ghosh;Sugato Basu

  • Generative model-based document clustering: a comparative study

    Shi Zhong;Joydeep Ghosh

  • Privacy-preserving distributed clustering using generative models

    S. Merugu;Joydeep Ghosh

  • Proceedings of the 2012 SIAM International Conference on Data Mining

    Joydeep Ghosh;Huan Liu;Ian Davidson;Carlotta Domeniconi

Frequent Co-Authors

Kagan Tumer
Kagan Tumer Oregon State University
Eduardo R. Hruschka
Eduardo R. Hruschka Universidade de São Paulo
Arindam Banerjee
Arindam Banerjee University of Illinois at Urbana-Champaign
Alan C. Bovik
Alan C. Bovik The University of Texas at Austin
Inderjit S. Dhillon
Inderjit S. Dhillon Google (United States)
Bradley A. Malin
Bradley A. Malin Vanderbilt University Medical Center
Chandra R. Bhat
Chandra R. Bhat The University of Texas at Austin
Alex X. Liu
Alex X. Liu Michigan State University
Jimeng Sun
Jimeng Sun University of Illinois at Urbana-Champaign
Russell A. Poldrack
Russell A. Poldrack Stanford University

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