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researcher

Thomas Fevens

2 papers here

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

author position
  • middle author1
  • last author1

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

fields
  • cs.LG2
ORCID 0000-0003-1160-1429

identity via Semantic Scholar / OpenAlex

most citedon the effectiveness of generative adversarial network on anomaly detection

7 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 1 cited

Source-free Domain Adaptation Requires Penalized Diversity

Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak +4

While neural networks are capable of achieving human-like performance in many tasks such as image classification, the impressive performance of each model is limited to its own dat…

cs.LG2021★ 7 cited

on the effectiveness of generative adversarial network on anomaly detection

Laya Rafiee Sevyeri, Thomas Fevens

Identifying anomalies refers to detecting samples that do not resemble the training data distribution. Many generative models have been used to find anomalies, and among them, gene…

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