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MAXIMILIEN SERVAJEAN
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Name
Affiliation
Papers
MAXIMILIEN SERVAJEAN
INRIA & LIRMM University of Montpellier, Montpellier, France
18
Collaborators
Citations
PageRank
36
17
6.43
Referers
Referees
References
60
346
141
Search Limit
100
346
Publications (18 rows)
Collaborators (36 rows)
Referers (60 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Pourquoi dois-je croire ta prédiction ? Comment expliquer les résultats d'une classification automatique de sentiments à partir de textes.
0
0.34
2019
LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification.
0
0.34
2019
Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 Challenge.
0
0.34
2019
LifeCLEF 2019: Biodiversity Identification and Prediction Challenges.
0
0.34
2019
Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media.
0
0.34
2019
Overview of GeoLifeCLEF 2019 - Plant Species Prediction using Environment and Animal Occurrences.
0
0.34
2019
Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge.
1
0.37
2018
Non-parametric Bayesian annotator combination.
0
0.34
2018
Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet.
0
0.34
2018
A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources.
0
0.34
2018
LIRMM@DEFT-2018 - Modèle de classification de la vectorisation des documents (LIRMM DEFT-2018 - Document Vectorization Classification model ).
0
0.34
2018
Crowdsourcing Thousands of Specialized Labels: A Bayesian Active Training Approach.
3
0.37
2017
ThePlantGame: Actively Training Human Annotators for Domain-specific Crowdsourcing.
0
0.34
2016
Increasing Coverage in Distributed Search and Recommendation with Profile Diversity.
0
0.34
2015
A Comparative Study of Fine-grained Classification Methods in the Context of the LifeCLEF Plant Identification Challenge 2015.
5
0.48
2015
Profile Diversity for Query Processing using User Recommendations.
2
0.35
2015
Exploiting Diversification in Gossip-Based Recommendation.
2
0.38
2014
Profile diversity in search and recommendation
4
0.42
2013
1