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Jacopo Teneggi

Johns Hopkins University Mathematical Institute for Data Science

7 papers hereh-index 6153 citations11 works total

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

author position
  • first author5
  • middle author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • stat.ML2
  • cs.LG1
  • physics.med-ph1
  • q-bio.NC1
affiliations
  • Johns Hopkins University Mathematical Institute for Data Science
Homepage
same name
  • Jacopo Teneggi — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedFast Hierarchical Games for Image Explanations

21 citations · 38 across the 7 of their papers we have counts for

collaborators
Showing 2022 · cs.CVShow all

1 paper · 2 filters

cs.CV2022★ 1 cited

Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT

Jacopo Teneggi, Paul H. Yi, Jeremias Sulam

Modern machine learning pipelines, in particular those based on deep learning (DL) models, require large amounts of labeled data. For classification problems, the most common learn…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.