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researcher

Yasmin Fathy

2 papers hereh-index 12582 citations27 works total

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

author position
  • middle author2

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

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedBayesian Autoencoders for Drift Detection in Industrial Environments

27 citations · 27 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2024

A low complexity contextual stacked ensemble-learning approach for pedestrian intent prediction

Chia-Yen Chiang, Yasmin Fathy, Gregory Slabaugh +1

Walking as a form of active travel is essential in promoting sustainable transport. It is thus crucial to accurately predict pedestrian crossing intention and avoid collisions, esp…

cs.LG2021★ 27 cited

Bayesian Autoencoders for Drift Detection in Industrial Environments

Bang Xiang Yong, Yasmin Fathy, Alexandra Brintrup

Autoencoders are unsupervised models which have been used for detecting anomalies in multi-sensor environments. A typical use includes training a predictive model with data from se…

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