1 code implementation • 10 Jan 2024 • Joaquim Estopinan, Pierre Bonnet, Maximilien Servajean, François Munoz, Alexis Joly
Cross-validation yields average accuracies of 0. 61 for status classification and 0. 78 for binary classification.
no code implementations • 9 Jan 2024 • Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz
In Sumatra, we found good correspondence of protected areas with our indicators, but supplementing current IUCN assessments with status predictions results in alarming levels of species threat across the island.
no code implementations • 7 Aug 2023 • Christophe Botella, Benjamin Deneu, Diego Marcos, Maximilien Servajean, Joaquim Estopinan, Théo Larcher, César Leblanc, Pierre Bonnet, Alexis Joly
We designed a European scale dataset covering around ten thousand plant species to calibrate and evaluate SDM predictions of species composition in space and time at high spatial resolution (~ten meters), and their spatial transferability.
no code implementations • 31 Mar 2023 • Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon
Average-K classification is an alternative to top-K classification in which the number of labels returned varies with the ambiguity of the input image but must average to K over all the samples.
1 code implementation • 4 Feb 2022 • Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon
In modern classification tasks, the number of labels is getting larger and larger, as is the size of the datasets encountered in practice.
no code implementations • 3 Dec 2021 • Samy Benslimane, Jérome Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi
Most of the existing approaches rely on the graph structure of a topic-discussion and/or the content of messages.
1 code implementation • 8 Apr 2020 • Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly
Understanding the geographic distribution of species is a key concern in conservation.
no code implementations • 19 Sep 2019 • Benjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis Joly
This paper presents an evaluation of several approaches of plants species distribution modeling based on spatial, environmental and co-occurrences data using machine learning methods.
no code implementations • 14 Jun 2019 • Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean
This paper addresses the problem of modeling textual conversations and detecting emotions.
Ranked #5 on Emotion Recognition in Conversation on EC
Emotion Recognition in Conversation General Classification +1
no code implementations • SEMEVAL 2019 • Waleed Ragheb, J{\'e}r{\^o}me Az{\'e}, S Bringay, ra, Maximilien Servajean
This paper addresses the problem of modeling textual conversations and detecting emotions.
no code implementations • 16 Jul 2018 • Mohamed Reda Bouadjenek, Esther Pacitti, Maximilien Servajean, Florent Masseglia, Amr El Abbadi
Collaborative Filtering (CF) is one of the most commonly used recommendation methods.
no code implementations • JEPTALNRECITAL 2018 • Waleed Mohamed Azmy, Bilel Moulahi, S Bringay, ra, Maximilien Servajean
Dans ce papier, nous d{\'e}crivons notre participation au d{\'e}fi d{'}analyse de texte DEFT 2018.