◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jon Donnelly

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
ORCID 0000-0002-3971-1075

identity via Semantic Scholar / OpenAlex

most citedAmazing Things Come From Having Many Good Models

6 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2024★ 6 cited

Amazing Things Come From Having Many Good Models

Cynthia Rudin, Chudi Zhong, Lesia Semenova +7

The Rashomon Effect, coined by Leo Breiman, describes the phenomenon that there exist many equally good predictive models for the same dataset. This phenomenon happens for many rea…

cs.CV2024★ 1 cited

This Looks Better than That: Better Interpretable Models with ProtoPNeXt

Frank Willard, Luke Moffett, Emmanuel Mokel +6

Prototypical-part models are a popular interpretable alternative to black-box deep learning models for computer vision. However, they are difficult to train, with high sensitivity…

cs.CV2024★ 1 cited

FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography

Julia Yang, Alina Jade Barnett, Jon Donnelly +6

Digital mammography is essential to breast cancer detection, and deep learning offers promising tools for faster and more accurate mammogram analysis. In radiology and other high-s…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.