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Computer Science

D-Index
42
Citations
18295
World Ranking
8143
National Ranking
3487

Overview

Michael Collins is a researcher affiliated with Google in the United States, whose work primarily spans the fields of Medicine and Neuroscience. Their publications focus on various specialized areas including Neurology, Pathology and Forensic Medicine, Genetics, Molecular Biology, and Pulmonary and Respiratory Medicine.

The main topics that characterize their research include:

  • Alcoholism and Thiamine Deficiency
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Alcohol Consumption and Health Effects
  • Neurofibromatosis and Schwannoma Cases
  • Genetics and Neurodevelopmental Disorders
  • Ubiquitin and Proteasome Pathways
  • Cystic Fibrosis Research Advances

Michael Collins has contributed to multiple publication venues with notable frequency. These include:

  • Journal of Cystic Fibrosis
  • Journal of Consumer Affairs
  • Alcoholism Clinical and Experimental Research
  • Journal of Clinical Investigation
  • Advances in Neurotoxicology

Selected recent papers by Michael Collins feature the following titles:

  • "Moderate blood alcohol and brain neurovulnerability: Selective depletion of calcium-independent phospholipase A2, omega-3 docosahexaenoic acid, and its synaptamide derivative as a potential harbinger of deficits in anti-inflammatory reserve," published in 2021 in Alcoholism Clinical and Experimental Research
  • "A haploinsufficiency restoration strategy corrects neurobehavioral deficits in Nf1+/- mice," 2025, Journal of Clinical Investigation
  • "510: Humidity and drying time affect dispersion of bacteria from disposable home nebulizers," 2021, Journal of Cystic Fibrosis
  • "Issue Information," 2021, Journal of Consumer Affairs
  • "Issue Information," 2022, Journal of Consumer Affairs

Their collaborative work includes frequent co-authorship with several researchers, such as:

  • Julie Aitken Harris
  • Ronald Paul Hill
  • Natalie Ross Adkins
  • Kathryn J. Aikin
  • Craig Andrews

Best Publications

  • Discriminative training methods for hidden Markov models: theory and experiments with perceptron algorithms

    Michael Collins

  • Head-Driven Statistical Models for Natural Language Parsing

    Michael Collins

  • Natural Questions: A Benchmark for Question Answering Research

    Tom Kwiatkowski;Jennimaria Palomaki;Olivia Redfield;Michael Collins

  • Unsupervised Models for Named Entity Classification

    Michael Collins;Yoram Singer

  • Learning to map sentences to logical form: structured classification with probabilistic categorial grammars

    Luke S. Zettlemoyer;Michael Collins

  • Convolution Kernels for Natural Language

    Michael Collins;Nigel Duffy

  • Hidden Conditional Random Fields

    A. Quattoni;S. Wang;L.-P. Morency;M. Collins

  • Three Generative, Lexicalised Models for Statistical Parsing

    Michael Collins

  • Logistic Regression, AdaBoost and Bregman Distances

    Michael Collins;Robert E. Schapire;Yoram Singer

  • Discriminative Reranking for Natural Language Parsing

    Michael Collins;Terry Koo

  • A New Statistical Parser Based on Bigram Lexical Dependencies

    Michael John Collins

  • Discriminative Reranking for Natural Language Parsing

    Michael Collins

  • Clause Restructuring for Statistical Machine Translation

    Michael Collins;Philipp Koehn;Ivona Kucerova

  • New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron

    Michael Collins;Nigel Duffy

  • Globally Normalized Transition-Based Neural Networks

    Daniel Andor;Chris Alberti;David Weiss;Aliaksei Severyn

  • A Generalization of Principal Components Analysis to the Exponential Family

    Michael Collins;S. Dasgupta;Robert E Schapire

  • Simple Semi-supervised Dependency Parsing

    Terry Koo;Xavier Carreras;Michael Collins

  • BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

    Christopher Clark;Kenton Lee;Ming-Wei Chang;Tom Kwiatkowski

  • Conditional Random Fields for Object Recognition

    Ariadna Quattoni;Michael Collins;Trevor Darrell

  • Incremental Parsing with the Perceptron Algorithm

    Michael Collins;Brian Roark

  • TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

    Jonathan H. Clark;Eunsol Choi;Michael Collins;Dan Garrette

  • Ranking Algorithms for Named Entity Extraction: Boosting and the VotedPerceptron

    Michael Collins

  • Transfer learning for image classification with sparse prototype representations

    A. Quattoni;M. Collins;T. Darrell

  • A Statistical Parser for Czech

    Michael Collins;Jan Hajic;Lance Ramshaw;Christoph Tillmann

  • Efficient Third-Order Dependency Parsers

    Terry Koo;Michael Collins

  • Prepositional Phrase Attachment Through a Backed-off Model

    Michael Collins;James Brooks

  • Structured Training for Neural Network Transition-Based Parsing

    David Weiss;Chris Alberti;Michael Collins;Slav Petrov

  • Synthetic QA Corpora Generation with Roundtrip Consistency

    Chris Alberti;Daniel Andor;Emily Pitler;Jacob Devlin

  • Sparse, Dense, and Attentional Representations for Text Retrieval

    Yi Luan;Jacob Eisenstein;Kristina Toutanova;Michael Collins

  • Discriminative n-gram language modeling

    Brian Roark;Murat Saraclar;Michael Collins

  • An efficient projection for l1, ∞ regularization

    Ariadna Quattoni;Xavier Carreras;Michael Collins;Trevor Darrell

Frequent Co-Authors

Roxana Mehran
Roxana Mehran Icahn School of Medicine at Mount Sinai
Alexandra J. Lansky
Alexandra J. Lansky Yale University
Alexander M. Rush
Alexander M. Rush Cornell University
Trevor Darrell
Trevor Darrell University of California, Berkeley
Kenton Lee
Kenton Lee Google (United States)
Lyle H. Ungar
Lyle H. Ungar University of Pennsylvania
Dean P. Foster
Dean P. Foster Amazon (United States)
Daniel Hsu
Daniel Hsu Columbia University
Kristina Toutanova
Kristina Toutanova Google (United States)
Slav Petrov
Slav Petrov Google (United States)

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