Luis Oala

SdPhotonics (United States) — United States

Computer Science · Physical Sciences

9h-index215citations28works4.82yr avg
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Research Topics

Machine Learning and Data Classification(8), Anomaly Detection Techniques and Applications(7), Domain Adaptation and Few-Shot Learning(5), Artificial Intelligence in Healthcare and Education(4), COVID-19 diagnosis using AI(4)

Publications28 total

OpenML: Insights from 10 years and more than a thousand papers
Patterns·2025· 3 citedOpen Access
Croissant: A Metadata Format for ML-Ready Datasets
2024· 15 citedOpen Access
Introducing v0.5 of the AI Safety Benchmark from MLCommons
arXiv (Cornell University)·2024· 5 citedOpen Access
Generative Fractional Diffusion Models
2024
Croissant: A Metadata Format for ML-Ready Datasets
2024· 1 cited
DMLR: Data-centric Machine Learning Research -- Past, Present and Future
TU/e Research Portal·2023· 6 citedOpen Access
Generative Fractional Diffusion Models
arXiv (Cornell University)·2023Open Access
Localized Data Work as a Precondition for Data-Centric ML: A Case Study of Full Lifecycle Crop Disease Identification in Ghana
arXiv (Cornell University)·2023· 3 citedOpen Access
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
arXiv (Cornell University)·2023· 9 citedOpen Access
Data Models for Dataset Drift Controls in Machine Learning With Optical Images - Datasets
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Data Models for Dataset Drift Controls in Machine Learning With Optical Images - Datasets
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Machine Learning for Health symposium 2022 -- Extended Abstract track
arXiv (Cornell University)·2022Open Access
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
arXiv (Cornell University)·2022· 3 citedOpen Access
Piloting a Survey-Based Assessment of Transparency and Trustworthiness with Three Medical AI Tools
Healthcare·2022· 20 citedOpen Access
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets
IEEE Transactions on Artificial Intelligence·2022· 14 citedOpen Access
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021
arXiv (Cornell University)·2021Open Access
A collection of the accepted abstracts for the Machine Learning for\n Health (ML4H) symposium 2021
arXiv (Cornell University)·2021Open Access
Machine Learning for Health: Algorithm Auditing & Quality Control
Journal of Medical Systems·2021· 45 citedOpen Access
Detecting failure modes in image reconstructions with interval neural network uncertainty
International Journal of Computer Assisted Radiology and Surgery·2021· 9 citedOpen Access
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data
arXiv (Cornell University)·2021· 5 citedOpen Access
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Frequent Co-authors

Wojciech Samek(15), Lukas Calefice(7), Gabriel Nobis(7), Bruno Sanguinetti(6), Marco Aversa(6), Roderick Murray‐Smith(6), Christian Matek(5), Joaquin Vanschoren(5), Shengxiang Yang(4), Armaghan Moemeni(4), Miguel A. Molina‐Cabello(4), Peter Mattson(4), Jan Macdonald(4), Maximilian März(4), Kurt Willis(4), Pradeep Balachandran(3), Jana Fehr(3), Steffen Vogler(3), Pieter Gijsbers(3), Michael Kuchnik(3)