◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

T. Martinetz

16 papers hereh-index 378.8k citations193 works total

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

author position
  • middle author3
  • last author13

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.LG4
  • cs.CG1
  • eess.IV1
  • eess.SP1
  • q-bio.NC1
same name
  • T. Martinetz — 13 papers, h 12

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
20102026
most citedExplainable COVID-19 Detection Using Chest CT Scans and Deep Learning

219 citations · 249 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

eess.IV2020★ 219 cited

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning

Hammam Alshazly, Christoph Linse, Erhardt Barth +1

This paper explores how well deep learning models trained on chest CT images can diagnose COVID-19 infected people in a fast and automated process. To this end, we adopt advanced d…

cs.CV2020★ 3 cited

Feature Products Yield Efficient Networks

Philipp Grüning, Thomas Martinetz, Erhardt Barth

We introduce Feature-Product networks (FP-nets) as a novel deep-network architecture based on a new building block inspired by principles of biological vision. For each input featu…

cs.LG2020

Solving Raven's Progressive Matrices with Multi-Layer Relation Networks

Marius Jahrens, Thomas Martinetz

Raven's Progressive Matrices are a benchmark originally designed to test the cognitive abilities of humans. It has recently been adapted to test relational reasoning in machine lea…

◍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.