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John W. Fisher

John W. Fisher

D-Index & Metrics

Computer Science

D-Index
46
Citations
9261
World Ranking
6819
National Ranking
2997

Overview

John W. Fisher is affiliated with MIT in the United States and has contributed extensively to the fields of Computer Science, particularly focusing on Artificial Intelligence and its applications. Their research spans several subfields including Materials Chemistry, Molecular Biology, Ocean Engineering, and Electrical and Electronic Engineering.

The scientist's work encompasses a range of topics centered around machine learning and its integration with domain-specific problems. Key areas include Machine Learning in Materials Science, Machine Learning and Algorithms, Machine Learning and Data Classification, Bone Metabolism and Diseases, Osteoarthritis Treatment and Mechanisms, AI-based Problem Solving and Planning, as well as Underwater Vehicles and Communication Systems.

John W. Fisher has coauthored multiple publications with collaborators such as Tonio Buonassisi, Zekun Ren, Shijing Sun, Armi Tiihonen, and Kedar Hippalgaonkar. These collaborations have contributed to a variety of scholarly outputs across different venues.

Publication venues frequently associated with their work include:

  • arXiv (Cornell University)
  • npj Computational Materials
  • Matter
  • Nature Reviews Materials
  • Bioorganic & Medicinal Chemistry Letters

Significant recent papers by John W. Fisher include:

  • "Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains," 2021, npj Computational Materials
  • "A data fusion approach to optimize compositional stability of halide perovskites," 2021, Matter
  • "Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics," 2023, Nature Reviews Materials
  • "Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains," 2021, arXiv (Cornell University)
  • "Lead optimization of cathepsin K inhibitors for the treatment of Osteoarthritis," 2022, Bioorganic & Medicinal Chemistry Letters

In addition to journal publications, Fisher has a book publication with Oxford University Press titled John Fisher's Court Sermons: Preaching for Lady Margaret, 1507-1509, published in 2021.

Best Publications

  • Nonparametric belief propagation for self-localization of sensor networks

    A.T. Ihler;J.W. Fisher;R.L. Moses;A.S. Willsky

  • A nonparametric statistical method for image segmentation using information theory and curve evolution

    Junmo Kim;J.W. Fisher;A. Yezzi;M. Cetin

  • Loopy Belief Propagation: Convergence and Effects of Message Errors

    Alexander T. Ihler;John W. Fischer;Alan S. Willsky

  • Face Recognition from Long-Term Observations

    Gregory Shakhnarovich;John W. Fisher;Trevor Darrell

  • Face recognition with image sets using manifold density divergence

    O. Arandjelovic;G. Shakhnarovich;J. Fisher;R. Cipolla

  • ICA using spacings estimates of entropy

    Erik G. Learned-Miller;John W. Fisher

  • A Bayesian model for joint segmentation and registration

    Kilian M. Pohl;John W. Fisher;W. Eric L. Grimson;Ron Kikinis

  • A Video Representation Using Temporal Superpixels

    Jason Chang;Donglai Wei;John W. Fisher

  • Learning Joint Statistical Models for Audio-Visual Fusion and Segregation

    John W Fisher Iii;Trevor Darrell;William T. Freeman;Paul A. Viola

  • Distributed fusion in sensor networks

    M. Cetin;Lei Chen;J.W. Fisher;A.T. Ihler

  • Nonparametric belief propagation for self-calibration in sensor networks

    Alexander T. Ihler;John W. Fisher;Randolph L. Moses;Alan S. Willsky

  • Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar

    K.R. Varshney;M. Cetin;J.W. Fisher;A.S. Willsky

  • Automatic registration of LIDAR and optical images of urban scenes

    Andrew Mastin;Jeremy Kepner;John Fisher

  • Approximate Dynamic Programming for Communication-Constrained Sensor Network Management

    J.L. Williams;J.W. Fisher;A.S. Willsky

  • Maximum mutual information principle for dynamic sensor query problems

    Emre Ertin;John W. Fisher;Lee C. Potter

  • Learning from Examples with Information Theoretic Criteria

    Jose C. Principe;Dongxin Xu;Qun Zhao;John W. Fisher

  • Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

    Qiaohao Liang;Aldair E. Gongora;Zekun Ren;Armi Tiihonen

  • Speaker association with signal-level audiovisual fusion

    J.W. Fisher;T. Darrell

  • Nonparametric methods for image segmentation using information theory and curve evolution

    Junmo Kim;J.W. Fisher;A. Yezzi;M. Cetin

  • Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation

    Søren Hauberg;Oren Freifeld;Anders Boesen Lindbo Larsen;John W. Fisher

  • Construction of Dependent Dirichlet Processes based on Poisson Processes

    Dahua Lin;Eric Grimson;John W. Fisher

Frequent Co-Authors

Alexander T. Ihler
Alexander T. Ihler University of California, Irvine
Mujdat Cetin
Mujdat Cetin University of Rochester
Trevor Darrell
Trevor Darrell University of California, Berkeley
Dahua Lin
Dahua Lin Chinese University of Hong Kong
Randolph L. Moses
Randolph L. Moses The Ohio State University

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