His work on Internal medicine as part of general Randomized controlled trial study is frequently linked to Atrial fibrillation, therefore connecting diverse disciplines of science. Many of his studies involve connections with topics such as Atrial fibrillation and Randomized controlled trial and Internal medicine. His study of Inflammation brings together topics like Proinflammatory cytokine and Cytokine. Joydeep Ghosh conducted interdisciplinary study in his works that combined Cytokine and Inflammation. He combines topics linked to Pattern recognition (psychology) with his work on Artificial intelligence. His Artificial intelligence research extends to the thematically linked field of Pattern recognition (psychology). His study deals with a combination of Data mining and Machine learning. He performs integrative study on Machine learning and Data mining in his works. He performs integrative Cluster analysis and Algorithm research in his work.
Pattern recognition (psychology) and Cluster analysis are all intertwined in Artificial intelligence research. His study on Pattern recognition (psychology) is mostly dedicated to connecting different topics, such as Artificial intelligence. Joydeep Ghosh incorporates Data mining and Machine learning in his research. Joydeep Ghosh integrates many fields in his works, including Machine learning and Data mining.
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Top 10 algorithms in data mining
Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh.
Knowledge and Information Systems (2007)
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
Alexander Strehl;Joydeep Ghosh.
Journal of Machine Learning Research (2003)
Clustering with Bregman Divergences
Arindam Banerjee;Srujana Merugu;Inderjit S. Dhillon;Joydeep Ghosh.
siam international conference on data mining (2005)
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
Arindam Banerjee;Inderjit Dhillon;Joydeep Ghosh;Srujana Merugu.
Journal of Machine Learning Research (2007)
Impact of Similarity Measures on Web-page Clustering
Alexander Strehl;Joydeep Ghosh;Raymond Mooney.
Investigation of the random forest framework for classification of hyperspectral data
J. Ham;Yangchi Chen;M.M. Crawford;J. Ghosh.
IEEE Transactions on Geoscience and Remote Sensing (2005)
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
Arindam Banerjee;Inderjit S. Dhillon;Joydeep Ghosh;Suvrit Sra.
Journal of Machine Learning Research (2005)
Error Correlation and Error Reduction in Ensemble Classifiers
Kagan Tumer;Joydeep Ghosh.
Connection Science (1996)
Discovering important people and objects for egocentric video summarization
Yong Jae Lee;Joydeep Ghosh;Kristen Grauman.
computer vision and pattern recognition (2012)
Analysis of decision boundaries in linearly combined neural classifiers
Kagan Tumer;Joydeep Ghosh.
Pattern Recognition (1996)
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