Published November 1, 2021
| Version v1
Conference paper
Representation learning to overcome scarce data in machine learning. Application to chemosensory receptors
Contributors
Others:
- Institut de Chimie de Nice (ICN) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Daegu Gyeongbuk Institute of Science and Technology (DGIST)
Description
International audience
Additional details
Identifiers
- URL
- https://hal.univ-cotedazur.fr/hal-03908186
- URN
- urn:oai:HAL:hal-03908186v1
Origin repository
- Origin repository
- UNICA