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D-Index & Metrics

Computer Science

D-Index
60
Citations
24491
World Ranking
3165
National Ranking
1533

Overview

Garrison W. Cottrell is affiliated with the University of California, San Diego in the United States. Their research primarily spans the field of Computer Science, with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Cognitive Neuroscience, and Signal Processing.

Their recent publications reflect a range of interdisciplinary interests interfacing deep learning and natural products, time series analysis, and safety systems. Selected recent papers include:

  • NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products, 2021, Journal of Natural Products
  • A Convolutional Neural Network-Based Approach for the Rapid Annotation of Molecularly Diverse Natural Products, 2020, Journal of the American Chemical Society
  • ReZero is All You Need: Fast Convergence at Large Depth, 2020, arXiv (Cornell University)
  • Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection, 2022, Remote Sensing

The research topics covered in their work include:

  • Metabolomics and Mass Spectrometry Studies
  • Computational Drug Discovery Methods
  • Microbial Natural Products and Biosynthesis
  • Time Series Analysis and Forecasting
  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Fire Detection and Safety Systems

Frequent coauthors contributing to their research are William H. Gerwick, Hyun Woo Kim, Chen Zhang, Qianli Ma, and Sen Li. This network of collaboration supports a multidisciplinary approach across computational and biological sciences.

Garrison W. Cottrell's publications appear predominantly in venues such as the Proceedings of the AAAI Conference on Artificial Intelligence, arXiv (Cornell University), Journal of Natural Products, Remote Sensing, and the Journal of the American Chemical Society, indicating a blend of conference and journal contributions.

Best Publications

  • Behavior recognition via sparse spatio-temporal features

    P. Dollar;V. Rabaud;G. Cottrell;S. Belongie

  • Understanding Convolution for Semantic Segmentation

    Panqu Wang;Pengfei Chen;Ye Yuan;Ding Liu

  • SUN: A Bayesian framework for saliency using natural statistics.

    Lingyun Zhang;Matthew H. Tong;Tim K. Marks;Honghao Shan

  • A dual-stage attention-based recurrent neural network for time series prediction

    Yao Qin;Dongjin Song;Haifeng Cheng;Wei Cheng

  • Early lateralization and orientation tuning for face, word, and object processing in the visual cortex

    Bruno Rossion;Carrie A Joyce;Garrison W Cottrell;Michael J Tarr

  • Transmitting and Decoding Facial Expressions

    Marie L. Smith;Garrison W. Cottrell;FrédéAric Gosselin;Philippe G. Schyns

  • Connectionist models of face processing: A survey

    Dominique Valentin;Hervé Abdi;Hervé Abdi;Alice J. O'Toole;Garrison W. Cottrell

  • Two Fixations Suffice in Face Recognition

    Janet Hui-wen Hsiao;Garrison Cottrell

  • A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

    Yao Qin;Dongjin Song;Haifeng Chen;Wei Cheng

  • Non-Linear Dimensionality Reduction

    David DeMers;Garrison W. Cottrell

  • NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products.

    Hyun Woo Kim;Mingxun Wang;Christopher A. Leber;Louis-Félix Nothias

  • Color-to-Grayscale: Does the Method Matter in Image Recognition?

    Christopher Kanan;Garrison W. Cottrell

  • Automatic combination of multiple ranked retrieval systems

    Brian T. Bartell;Garrison W. Cottrell;Richard K. Belew

  • Fusion Via a Linear Combination of Scores

    Christopher C. Vogt;Garrison W. Cottrell

  • A Connectionist Approach to Word Sense Disambiguation

    Garrison W. Cottrell

  • Representing Face Images for Emotion Classification

    Curtis Padgett;Garrison W. Cottrell

  • EMPATH: A Neural Network that Categorizes Facial Expressions

    Matthew N. Dailey;Garrison W. Cottrell;Curtis Padgett;Ralph Adolphs

  • EMPATH: Face, Emotion, and Gender Recognition Using Holons

    Garrison W. Cottrell;Janet Metcalfe

  • SUN: Top-down saliency using natural statistics.

    Christopher Kanan;Mathew H. Tong;Lingyun Zhang;Garrison W. Cottrell

  • Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition.

    Yao Qin;Nicholas Carlini;Garrison W. Cottrell;Ian J. Goodfellow

  • Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition

    Yao Qin;Nicholas Carlini;Ian Goodfellow;Garrison Cottrell

Frequent Co-Authors

William H. Gerwick
William H. Gerwick University of California, San Diego
Julian McAuley
Julian McAuley University of California, San Diego
Richard K. Belew
Richard K. Belew University of California, San Diego
Martin I. Sereno
Martin I. Sereno San Diego State University
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Xiaohui Shen
Xiaohui Shen ByteDance
Colin Raffel
Colin Raffel University of Toronto
Zhe Lin
Zhe Lin Adobe Systems (United States)
William B. Kristan
William B. Kristan University of California, San Diego
Konstantinos Kamnitsas
Konstantinos Kamnitsas University of Oxford

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