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D. Abrial

2 papers hereh-index 201.1k citations48 works total

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.AI1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

most citedSpatial risk mapping for rare disease with hidden Markov fields and variational EM

15 citations · 15 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2022

Expert Opinion Elicitation for Assisting Deep Learning based Lyme Disease Classifier with Patient Data

Sk Imran Hossain, Jocelyn de Goër de Herve, David Abrial +6

Diagnosing erythema migrans (EM) skin lesion, the most common early symptom of Lyme disease using deep learning techniques can be effective to prevent long-term complications. Exis…

stat.AP2013★ 15 cited

Spatial risk mapping for rare disease with hidden Markov fields and variational EM

Florence Forbes, Myriam Charras-Garrido, Lamiae Azizi +2

Current risk mapping models for pooled data focus on the estimated risk for each geographical unit. A risk classification, that is, grouping of geographical units with similar risk…

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