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D-Index & Metrics

Computer Science

D-Index
32
Citations
8655
World Ranking
12887
National Ranking
5198

Overview

Ashutosh Garg is affiliated with Google in the United States and conducts research primarily within the fields of Computer Science and Decision Sciences. Their work spans several subfields, including Artificial Intelligence, Management Science and Operations Research, Health Informatics, Biomedical Engineering, and Computer Vision and Pattern Recognition.

The primary topics addressed in Ashutosh Garg's publications focus on artificial intelligence applications in healthcare and education, medical imaging and analysis, face recognition and analysis, AI in service interactions, intelligent tutoring systems and adaptive learning, human-automation interaction and safety, as well as stock market forecasting methods.

Recent scholarly contributions by Ashutosh Garg include:

  • Humane Speech Synthesis through Zero-Shot Emotion and Disfluency Generation (2024), published in arXiv (Cornell University)
  • Stock Price Prediction using Data Analysis and Machine Learning (2025), published in Innovative Research Thoughts

Their research collaborations frequently involve coauthors such as Mihir Godbole, Jinsil Hwaryoung Seo, Rohan Chaudhury, Lauren Thai, and Nicole Kroll.

Publications by Ashutosh Garg have appeared chiefly in venues including arXiv (Cornell University) and Innovative Research Thoughts. The scholarly work consistently integrates multidisciplinary approaches, combining insights from computing and decision sciences to address diverse challenges.

Best Publications

  • Google news personalization: scalable online collaborative filtering

    Abhinandan S. Das;Mayur Datar;Ashutosh Garg;Shyam Rajaram

  • Facial expression recognition from video sequences: temporal and static modeling

    Ira Cohen;Nicu Sebe;Ashutosh Garg;Lawrence S. Chen

  • Recent advances in the automatic recognition of audiovisual speech

    G. Potamianos;C. Neti;G. Gravier;A. Garg

  • Layered representations for human activity recognition

    Nuria Oliver;Eric Horvitz;Ashutosh Garg

  • Layered representations for learning and inferring office activity from multiple sensory channels

    Nuria Oliver;Ashutosh Garg;Eric Horvitz

  • Annotation framework for video

    Mayur Datar;Ashutosh Garg;Vibhu Mittal

  • Emotion Recognition from Facial Expressions using Multilevel HMM

    Ira Cohen;Ashutosh Garg;Thomas S. Huang

  • Emotion recognition using a Cauchy Naive Bayes classifier

    N. Sebe;M.S. Lew;I. Cohen;A. Garg

  • Machine Learning in Computer Vision

    N. Sebe;I. Cohen;A. Garg;T.S. Huang

  • Layered models for context awareness

    Nuria M. Oliver;Eric J. Horvitz;Ashutosh Garg

  • Scalable user clustering based on set similarity

    Mayur Datar;Ashutosh Garg

  • Facial expression recognition from video sequences

    I. Cohen;N. Sebe;A. Garg;M.S. Lew

  • Automatically generating ads and ad-serving index

    Mayur Datar;Ashutosh Garg

  • Method to hierarchical pooling of opinions from multiple sources

    Ashutosh Garg;Jayram S. Thathachar;Shivakumar Vaithyanathan;Huaiyu Zhu

  • Digital image archiving and retrieval using a mobile device system

    Krishnendu Chaudhury;Ashutosh Garg;Prasenjit Phukan;Arvind Saraf

  • Understanding Probabilistic Classifiers

    Ashutosh Garg;Dan Roth

  • Multimodal speaker detection using error feedback dynamic Bayesian networks

    V. Pavlovic;A. Garg;J.M. Rehg;T.S. Huang

  • A Bayesian framework for combining gene predictions.

    Vladimir Pavlović;Ashutosh Garg;Simon Kasif

  • Boosted learning in dynamic Bayesian networks for multimodal speaker detection

    A. Garg;V. Pavlovic;J.M. Rehg

  • Audio-visual speaker detection using dynamic Bayesian networks

    A. Garg;V. Pavlovic;J.M. Rehg

Frequent Co-Authors

Mayur Datar
Mayur Datar Microsoft (United States)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Ira Cohen
Ira Cohen Hewlett-Packard (United States)
Nuria Oliver
Nuria Oliver European Laboratory for Learning and Intelligent Systems
Dan Roth
Dan Roth University of Pennsylvania
Vladimir Pavlovic
Vladimir Pavlovic Rutgers, The State University of New Jersey
Eric Horvitz
Eric Horvitz Microsoft (United States)
Shivakumar Vaithyanathan
Shivakumar Vaithyanathan IBM (United States)
Xiang Sean Zhou
Xiang Sean Zhou Siemens (Germany)
Nicu Sebe
Nicu Sebe University of Trento

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