Jean Honorio
Purdue University
Assistant Professor
Department of Computer Science
Department of Statistics
Research Area
#Mathematics#Time complexity#Computer science#Discrete mathematics#Combinatorics#Algorithm#Mathematical optimization#Nash equilibrium#Structured prediction#Bayesian network
SCIE paper information
Papers relevant to ‘Artificial intelligence’: 2
Research performance of SCIE papers matching with ‘Artificial intelligence’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Learning the structure and parameters of large-population graphical games from behavioral data
2015/01 JOURNAL OF MACHINE LEARNING RESEARCH 2.45 Impact Factor 23 citations
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm.
2015/12 COMPUTERIZED MEDICAL IMAGING AND GRAPHICS 1.386 Impact Factor 13 citations
Papers for author ‘Jean Honorio’: 3
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Methylphenidate enhances executive function and optimizes prefrontal function in both health and cocaine addiction.
2014/03 CEREBRAL CORTEX 8.665 Impact Factor 73 citations
Learning the structure and parameters of large-population graphical games from behavioral data
2015/01 JOURNAL OF MACHINE LEARNING RESEARCH 2.45 Impact Factor 23 citations
conference information
Papers relevant to ‘Artificial intelligence’: 1
Research performance of Top-tier Conference matching with ‘Artificial intelligence’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
2017/01 NEURIPS Top-tier Conference 14 citations
Papers for author ‘Jean Honorio’: 11
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
2017/01 NEURIPS Top-tier Conference 14 citations
Information-theoretic Limits for Community Detection in Network Models
2018/01 NEURIPS Top-tier Conference 8 citations
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