Maximilien Servajean

Orcid: 0000-0002-9426-2583

According to our database1, Maximilien Servajean authored at least 58 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts.
CoRR, 2024

AI-based Mapping of the Conservation Status of Orchid Assemblages at Global Scale.
CoRR, 2024


2023
EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries.
IEEE Trans. Vis. Comput. Graph., October, 2023

A text and GNN based controversy detection method on social media.
World Wide Web (WWW), March, 2023

Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide.
IEEE Trans. Knowl. Data Eng., 2023

A two-head loss function for deep Average-K classification.
CoRR, 2023

Learning to Classify Medical Discharge Summaries According to ICD-9.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Explaining controversy through community analysis on Twitter.
Proceedings of the International Database Engineered Applications Symposium Conference, 2023

ICDiscovery : Aide à l'annotation par une méthode de budget pour le codage CIM-9 des textes hospitaliers.
Proceedings of the Extraction et Gestion des Connaissances, 2023

Apprendre à classer des textes hospitaliers rédigés en anglais selon la classification CIM-9 avec une approche par budget.
Proceedings of the Extraction et Gestion des Connaissances, 2023


Panorama des outils de visualisation pour l'explicabilité en apprentissage profond pour le traitement automatique de la langue.
Proceedings of the Conférence Nationale en Intelligence Artificielle, 2023

Détection de la controverse : une approche basée sur les réseaux de neurones, appliquée aux graphes et aux textes.
Proceedings of the Conférence Nationale en Intelligence Artificielle, 2023

Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification.
Proceedings of the International Conference on Machine Learning, 2022

LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Advances in Information Retrieval, 2022

Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Species Distribution Modeling based on aerial images and environmental features with Convolutional Neural Networks.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021
Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.
PLoS Comput. Biol., 2021

Controversy Detection: A Text and Graph Neural Network Based Approach.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Expliquer les prédictions des réseaux de neurones par l'exploration de l'espace de représentation et de la frontière de décision à l'aide d'EBBE-Text.
Proceedings of the Extraction et Gestion des Connaissances, 2021

EBBE-Text : Visualisation de la frontière de décision des réseaux de neurones en classification automatique de textes.
Proceedings of the Extraction et Gestion des Connaissances, 2021

LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges.
Proceedings of the Advances in Information Retrieval, 2021

Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

2020
The GeoLifeCLEF 2020 Dataset.
CoRR, 2020

How Do Deep Convolutional SDM Trained on Satellite Images Unravel Vegetation Ecology?
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020


Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2020

Participation of LIRMM / Inria to the GeoLifeCLEF 2020 Challenge.
Proceedings of the Working Notes of CLEF 2020, 2020

Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF).
Proceedings of the Working Notes of CLEF 2020, 2020

2019
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations.
CoRR, 2019

LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Pourquoi dois-je croire ta prédiction ? Comment expliquer les résultats d'une classification automatique de sentiments à partir de textes.
Proceedings of the IC 2019: 30es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 30th French Knowledge Engineering Conference), 2019

LifeCLEF 2019: Biodiversity Identification and Prediction Challenges.
Proceedings of the Advances in Information Retrieval, 2019

Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media.
Proceedings of the Working Notes of CLEF 2019, 2019

Language Modeling in Temporal Mood Variation Models for Early Risk Detection on the Internet.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 Challenge.
Proceedings of the Working Notes of CLEF 2019, 2019

Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

Evaluation of Deep Species Distribution Models Using Environment and Co-occurrences.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

Overview of GeoLifeCLEF 2019: Plant Species Prediction using Environment and Animal Occurrences.
Proceedings of the Working Notes of CLEF 2019, 2019

2018
Non-parametric Bayesian annotator combination.
Inf. Sci., 2018

A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources.
CoRR, 2018

LIRMM@DEFT-2018 - Modèle de classification de la vectorisation des documents (LIRMM DEFT-2018 - Document Vectorization Classification model ).
Proceedings of the Actes de la Conférence CORIA-TALN-RJC - Volume 2, 2018

Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet.
Proceedings of the Working Notes of CLEF 2018, 2018

Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
Crowdsourcing Thousands of Specialized Labels: A Bayesian Active Training Approach.
IEEE Trans. Multim., 2017

2016
ThePlantGame: Actively Training Human Annotators for Domain-specific Crowdsourcing.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015
Increasing Coverage in Distributed Search and Recommendation with Profile Diversity.
Trans. Large Scale Data Knowl. Centered Syst., 2015

Profile Diversity for Query Processing using User Recommendations.
Inf. Syst., 2015

A Comparative Study of Fine-grained Classification Methods in the Context of the LifeCLEF Plant Identification Challenge 2015.
Proceedings of the Working Notes of CLEF 2015, 2015

2014
Recommandation Diversifiée et Distribuée pour les Données Scientifiques. (Diversified and Distributed Recommendation for Scientific Data).
PhD thesis, 2014

Exploiting Diversification in Gossip-Based Recommendation.
Proceedings of the Data Management in Cloud, Grid and P2P Systems, 2014

2013
Profile diversity in search and recommendation.
Proceedings of the 22nd International World Wide Web Conference, 2013


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