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M. de Vos

19 papers hereh-index 436.3k citations256 works total

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

author position
  • middle author8
  • last author11

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • eess.SP3
  • q-bio.NC2
  • q-bio.QM2
  • cs.AI1
  • physics.med-ph1
same name
  • M. de Vos — 11 papers, h 0
  • M. De Vos — 1 paper, h 21
  • M. De Vos — 1 paper, h 2
  • M. De Vos — 1 paper, h 24

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
20182026
most citedSeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

632 citations · 1.7k across the 18 of their papers we have counts for

collaborators
Showing 2018 · cs.LGShow all

3 papers · 2 filters

cs.LG2018★ 3 cited

Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis

Navin Cooray, Fernando Andreotti, Christine Lo +3

Evidence suggests Rapid-Eye-Movement (REM) Sleep Behaviour Disorder (RBD) is an early predictor of Parkinson's disease. This study proposes a fully-automated framework for RBD dete…

cs.LG2018★ 632 cited

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

Huy Phan, Fernando Andreotti, Navin Cooray +2

Automatic sleep staging has been often treated as a simple classification problem that aims at determining the label of individual target polysomnography (PSG) epochs one at a time…

cs.LG2018★ 469 cited

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

Huy Phan, Fernando Andreotti, Navin Cooray +2

Correctly identifying sleep stages is important in diagnosing and treating sleep disorders. This work proposes a joint classification-and-prediction framework based on CNNs for aut…

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