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Computer Science

D-Index
49
Citations
11903
World Ranking
5806
National Ranking
2639

Overview

Steven Minton is affiliated with InferLink Corporation in the United States. Their research spans multiple disciplines, primarily focusing on Medicine and Computer Science.

The main fields of study in Steven Minton's work include:

  • Medicine
  • Computer Science

Their research delves into several subfields such as:

  • Ophthalmology
  • Infectious Diseases
  • Information Systems
  • Software
  • Computer Networks and Communications

The key topics addressed by Steven Minton cover:

  • Drug-Induced Ocular Toxicity
  • Retinal and Optic Conditions
  • Leprosy Research and Treatment
  • Retinal Diseases and Treatments
  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Software System Performance and Reliability

Recent scholarly contributions of Steven Minton include the following publications:

  • "Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine" (2020), Journal of Medical Internet Research
  • "Ocular toxicity and Hydroxychloroquine: A Rapid Meta-Analysis" (2020), bioRxiv (Cold Spring Harbor Laboratory)
  • "Information Integration for the Masses" (2020), TUGraz OPEN Library (Graz University of Technology)
  • "Interpretable Cross-Examination Technique (ICE-T): Using highly informative features to boost LLM performance" (2024), arXiv (Cornell University)
  • "AI Copilots for Reproducibility in Science: A Case Study" (2025), arXiv (Cornell University)

The research collaborations of Steven Minton frequently involve the following coauthors:

  • Matthew Michelson
  • Tiffany W. Chow
  • Neil A. Martin
  • Mike Ross
  • Amelia Tee Qiao Ying

Steven Minton's publications appear repeatedly in venues such as:

  • arXiv (Cornell University)
  • Journal of Medical Internet Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • TUGraz OPEN Library (Graz University of Technology)

Best Publications

  • Quantitative results concerning the utility of explanation-based learning

    Steven Minton

  • A hierarchical approach to wrapper induction

    Ion Muslea;Steve Minton;Craig Knoblock

  • Learning Search Control Knowledge: An Explanation-Based Approach

    Steven Minton

  • Integrating planning and learning: the PRODIGY architecture

    Manuela M. Veloso;Jaime G. Carbonell;M. Alicia Pérez;Daniel Borrajo

  • Hierarchical Wrapper Induction for Semistructured Information Sources

    Ion Muslea;Steven Minton;Craig A. Knoblock

  • Solving large-scale constraint satisfaction and scheduling problems using a heuristic repair method

    Steven Minton;Mark D. Johnston;Andrew B. Philips;Philip Laird

  • Active + Semi-supervised Learning = Robust Multi-View Learning

    Ion Muslea;Steven Minton;Craig A. Knoblock

  • Explanation-based learning: a problem solving perspective

    S. Minton;J. G. Carbonell;C. A. Knoblock;D. R. Kuokka

  • Learning object identification rules for information integration

    Sheila Tejada;Craig A. Knoblock;Steven Minton

  • Learning domain-independent string transformation weights for high accuracy object identification

    Sheila Tejada;Craig A. Knoblock;Steven Minton

  • Active learning with multiple views

    Ion Muslea;Steven Minton;Craig A. Knoblock

  • PRODIGY: an integrated architecture for planning and learning

    Jaime Carbonell;Oren Etzioni;Yolanda Gil;Robert Joseph

  • Accurately and reliably extracting data from the Web: a machine learning approach

    Craig A. Knoblock;Kristina Lerman;Steven Minton;Ion Muslea

  • Explanation-based learning: a problem solving perspective

    Steven Minton;Jaime G. Carbonell;Craig A. Knoblock;Daniel R. Kuokka

  • Modeling Web sources for information integration

    Craig A. Knoblock;Steven Minton;José Luis Ambite;Naveen Ashish

  • Learning effective search control knowledge: an explanation-based approach

    Steven Minton;Jaime Carbonell

  • Wrapper maintenance: a machine learning approach

    Kristina Lerman;Steven N. Minton;Craig A. Knoblock

  • Selective Sampling with Redundant Views

    Ion Muslea;Steven Minton;Craig A. Knoblock

  • Selectively generalizing plans for problem-solving

    Steven Minton

  • The Ariadne approach to Web- based information integration

    Craig A. Knoblock;Steven Minton;Jose Luis Ambite;Naveen Ashish

Frequent Co-Authors

Craig A. Knoblock
Craig A. Knoblock University of Southern California
Kristina Lerman
Kristina Lerman University of Southern California
José Luis Ambite
José Luis Ambite University of Southern California
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University
Oren Etzioni
Oren Etzioni University of Washington
Lise Getoor
Lise Getoor University of California, Santa Cruz
Cyrus Shahabi
Cyrus Shahabi University of Southern California
Jim Blythe
Jim Blythe University of Southern California
Pedro Szekely
Pedro Szekely Amazon (United States)
Michael P. Wellman
Michael P. Wellman University of Michigan–Ann Arbor

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