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Honda (Germany)

Germany

41 papers here510 citations across 41
fields
  • cs.RO14
  • cs.AI8
  • cs.HC4
  • eess.SY4
  • cs.LG3
  • quant-ph3
  • cs.CE2
  • cs.CV1
ROR 022c1xk47OpenAlex

affiliations via OpenAlex

output
20192026
most citedReal-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning

176 citations

researchers with a paper here
  • Benedict Flade8 · h 7
  • J. Eggert8 · h 25
  • Tim Puphal7 · h 7
  • Malte Probst6 · h 9
  • Sebastian Schmitt4 profiles6 · h 16
  • Daniel Tanneberg4 · h 10
  • Simon Kohaut4 · h 4
  • Chao Wang2 profiles3 · h 5
  • D. Dhami3 · h 16
  • H. Wersing2 profiles3 · h 28
  • Jens Engel3 · h 5
  • Julian Eggert3 · h 4
collaborating institutions
  • Technische Universität DarmstadtDE10 papers
  • Honda (Japan)JP7 papers
  • Bielefeld UniversityDE3 papers
  • Eindhoven University of TechnologyNL3 papers
  • German Research Centre for Artificial IntelligenceDE2 papers
  • Hess (United States)US2 papers
  • Honda (United States)US2 papers
  • Institut des Sciences Cognitives Marc JeannerodFR2 papers
  • Nanyang Technological UniversitySG2 papers
  • Centrum Wiskunde & InformaticaNL1 paper
  • Cornell UniversityUS1 paper
  • Leiden UniversityNL1 paper
Showing 2021Show all

1 paper · 1 filter

cs.HC2021

Explainability via Interactivity? Supporting Nonexperts' Sensemaking of Pretrained CNN by Interacting with Their Daily Surroundings

Chao Wang, Pengcheng An

Current research on Explainable AI (XAI) heavily targets on expert users (data scientists or AI developers). However, increasing importance has been argued for making AI more under…

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