World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
18224
World Ranking
4455
National Ranking
2083

Mathematics

D-Index
51
Citations
15945
World Ranking
997
National Ranking
461

Overview

Dianne P. O'Leary is affiliated with the University of Maryland, College Park in the United States. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence and its applications. Additional subfields include Computer Science Applications, Radiology, Nuclear Medicine and Imaging, Molecular Biology, and Safety Research.

The scientist's work covers several main topics, including:

  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Bayesian Modeling and Causal Inference
  • History of Computing Technologies
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Gene expression and cancer classification

Dianne P. O'Leary has contributed to multiple publications in various venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • La Matematica
  • IEEE Annals of the History of Computing
  • Journal of Molecular Diagnostics
  • JAMA Internal Medicine

Recent papers authored or co-authored include:

  • "Auditing and Debugging Deep Learning Models via Flip Points: Individual-Level and Group-Level Analysis," 2021, La Matematica
  • "Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis," 2020, arXiv (Cornell University)
  • "The Legacy of Mary Kenneth Keller, First U.S. Ph.D. in Computer Science," 2023, IEEE Annals of the History of Computing
  • "A Perspective on Artificial Intelligence for Molecular Pathologists," 2025, Journal of Molecular Diagnostics
  • "Mary Kenneth Keller: First US PhD in Computer Science," 2022, arXiv (Cornell University)

O'Leary frequently collaborates with several co-authors, including:

  • Roozbeh Yousefzadeh
  • Jennifer Head
  • Timothy J. O'Leary
  • Brian O'Leary

Best Publications

  • The use of the L-curve in the regularization of discrete ill-posed problems

    Per Christian Hansen;Dianne Prost O'Leary

  • Tikhonov regularization and total least squares

    Gene H. Golub;Per Christian Hansen;Dianne P. O'Leary

  • Deblurring Images: Matrices, Spectra, and Filtering

    Per Christian Hansen;James G. Nagy;Dianne P. O'Leary

  • The block conjugate gradient algorithm and related methods

    Dianne P. O'Leary

  • Text summarization via hidden Markov models

    John M. Conroy;Dianne P. O'leary

  • A generalized conjugate gradient method for the numerical solution of elliptic partial differential equations

    Paul Concus;Gene H. Golub;Dianne P O''Leary

  • Multi-Splittings of Matrices and Parallel Solution of Linear Systems

    Dianne P. O’Leary;R. E. White

  • Why do hubs in the yeast protein interaction network tend to be essential: reexamining the connection between the network topology and essentiality.

    Elena Zotenko;Julian Mestre;Dianne P. O'Leary;Teresa M. Przytycka

  • Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems

    Misha E. Kilmer;Dianne P. O'Leary.

  • A semidiscrete matrix decomposition for latent semantic indexing information retrieval

    Tamara G. Kolda;Dianne P. O'Leary

  • Restoring images degraded by spatially-variant blur

    James G. Nagy;Dianne P. O'Leary

  • Regularization by Truncated Total Least Squares

    R. D. Fierro;G. H. Golub;P. C. Hansen;D. P. O'Leary

  • A Multigrid Method Enhanced by Krylov Subspace Iteration for Discrete Helmholtz Equations

    Howard C. Elman;Oliver G. Ernst;Dianne P. O'Leary

  • Some History of the Conjugate Gradient and Lanczos Algorithms: 1948-1976

    Unknown

  • Robust regression computation computation using iteratively reweighted least squares

    Dianne P. O'Leary

  • A Bidiagonalization-Regularization Procedure for Large Scale Discretizations of Ill-Posed Problems

    Dianne P. O'Leary;John A. Simmons

  • Variable projection for nonlinear least squares problems

    Dianne P. O'Leary;Bert W. Rust

  • Asymptotically optimal quantum circuits for d-level systems.

    Stephen S. Bullock;Dianne P. O'Leary;Dianne P. O'Leary;Gavin K. Brennen

  • Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3) (Fundamentals of Algorithms)

    Per Christian Hansen;James G. Nagy;Dianne P. O'Leary

  • Data-flow algorithms for parallel matrix computation

    Dianne P. O'Leary;G. W. Stewart

  • Topic-Focused Multi-Document Summarization Using an Approximate Oracle Score

    John M. Conroy;Judith D. Schlesinger;Dianne P. O'Leary

Frequent Co-Authors

James G. Nagy
James G. Nagy Emory University
G. W. Stewart
G. W. Stewart University of Maryland, College Park
André L. Tits
André L. Tits University of Maryland, College Park
Howard C. Elman
Howard C. Elman University of Maryland, College Park
Tamara G. Kolda
Tamara G. Kolda Independent Scientist / Consultant, US
Gene H. Golub
Gene H. Golub Stanford University
David Fushman
David Fushman University of Maryland, College Park
Markus Haltmeier
Markus Haltmeier University of Innsbruck
Teresa M. Przytycka
Teresa M. Przytycka National Institutes of Health
K.J.R. Liu
K.J.R. Liu University of Maryland, College Park

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