A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data - Université Paris-Est-Créteil-Val-de-Marne
Journal Articles Computer Methods and Programs in Biomedicine Year : 2022

A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data

Alice Othmani
Laboratoire Images, Signaux et Systèmes Intelligents
SYNAPSE
CV
Assaad-Oussama Zeghina
  • Function : Author
Muhammad Muzammel
  • Function : Author

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Computer Science [cs]

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https://hal.u-pec.fr/hal-04317298

Submitted on : Friday, December 1, 2023-10:03:34 AM

Last modification on : Tuesday, January 9, 2024-3:33:55 PM

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hal-04317298 , version 1 (01-12-2023)

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Alice Othmani, Assaad-Oussama Zeghina, Muhammad Muzammel. A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data. Computer Methods and Programs in Biomedicine, 2022, 226, pp.107132. ⟨10.1016/j.cmpb.2022.107132⟩. ⟨hal-04317298⟩

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