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researcher

L. Bidaut

3 papers hereh-index 317.2k citations219 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedUnsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders

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

collaborators

3 papers

cs.CV2022

Dual-stream spatiotemporal networks with feature sharing for monitoring animals in the home cage

Ezechukwu I. Nwokedi, Rasneer S. Bains, Luc Bidaut +3

This paper presents a spatiotemporal deep learning approach for mouse behavioural classification in the home-cage. Using a series of dual-stream architectures with assorted modific…

cs.CV2021★ 2 cited

Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders

Ezechukwu I Nwokedi, Rasneer S Bains, Luc Bidaut +3

This paper explores the application of unsupervised learning to detecting anomalies in mouse video data. The two models presented in this paper are a dual-stream, 3D convolutional…

cs.LG2019

A Unified Deep Learning Approach for Prediction of Parkinson's Disease

James Wingate, Ilianna Kollia, Luc Bidaut +1

The paper presents a novel approach, based on deep learning, for diagnosis of Parkinson's disease through medical imaging. The approach includes analysis and use of the knowledge e…

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