23 citations · 26 across the 3 of their papers we have counts for
5 papers
MALPOLON: A Framework for Deep Species Distribution Modeling
Theo Larcher, Lukas Picek, Benjamin Deneu +3
This paper describes a deep-SDM framework, MALPOLON. Written in Python and built upon the PyTorch library, this framework aims to facilitate training and inferences of deep species…
The GeoLifeCLEF 2020 Dataset
Elijah Cole, Benjamin Deneu, Titouan Lorieul +6
Understanding the geographic distribution of species is a key concern in conservation. By pairing species occurrences with environmental features, researchers can model the relatio…
Evaluation of Deep Species Distribution Models using Environment and Co-occurrences
Benjamin Deneu, Maximilien Servajean, Christophe Botella +1
This paper presents an evaluation of several approaches of plants species distribution modeling based on spatial, environmental and co-occurrences data using machine learning metho…
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations
Waleed Ragheb, Jérôme Azé, Sandra Bringay +1
This paper addresses the problem of modeling textual conversations and detecting emotions. Our proposed model makes use of 1) deep transfer learning rather than the classical shall…
A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources
Mohamed Reda Bouadjenek, Esther Pacitti, Maximilien Servajean +2
Collaborative Filtering (CF) is one of the most commonly used recommendation methods. CF consists in predicting whether, or how much, a user will like (or dislike) an item by lever…