Michael J. Pazzani is affiliated with the University of California, Riverside, in the United States. Their research spans multiple fields, primarily within computer science and medicine, focusing extensively on the intersection of artificial intelligence and healthcare applications.
The main fields of study in their body of work include:
The subfields of study prominently represented are:
Key research topics covered in their publications are:
Their recent papers illustrate a focus on machine learning techniques applied to medical imaging and biomedical data classification, including:
Frequent coauthors collaborating with Michael J. Pazzani include:
Their work commonly appears in publication venues such as:
Michael J. Pazzani has been recognized as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2003, with the citation noting contributions to the development and understanding of machine learning algorithms and their relationship to human learning.
Pedro Domingos;Michael Pazzani
Michael J. Pazzani;Daniel Billsus
Michael J. Pazzani
Eamonn J. Keogh;Kaushik Chakrabarti;Michael J. Pazzani;Sharad Mehrotra
Michael Pazzani;Daniel Billsus
Daniel Billsus;Michael J. Pazzani
E. Keogh;S. Chu;D. Hart;M. Pazzani
Eamonn J. Keogh;Michael J. Pazzani
Michael Pazzani;Jack Muramatsu;Daniel Billsus
Eamonn Keogh;Kaushik Chakrabarti;Michael Pazzani;Sharad Mehrotra
Eamonn J. Keogh;Michael J. Pazzani
Pedro M. Domingos;Michael J. Pazzani
Eamonn Keogh;Selina Chu;David Hart;Michael Pazzani
Daniel Billsus;Michael J. Pazzani
Eamonn J. Keogh;Michael J. Pazzani
Daniel Billsus;Michael J. Pazzani
Geoffrey I. Webb;Michael J. Pazzani;Daniel Billsus
Kaushik Chakrabarti;Eamonn Keogh;Sharad Mehrotra;Michael Pazzani
Stephen D. Bay;Michael J. Pazzani
Michael J. Pazzani;Christopher J. Merz;Patrick M. Murphy;Kamal M. Ali
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