Léa Laporte

31 papers A* 2Misc 2Journal 9Unranked 18
YearRankTypeTitle / Venue / Authors
2021 — conf
EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based Model and Knowledge Graph Embedding.
WI/IAT
Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto
2021 — conf
Recommandation diversifiée via des processus ponctuels déterminantaux sur des graphes de connaissances.
EGC
Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto
2020 A* conf
Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs.
SIGIR
Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto
2020 J jnl
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs.
Future Gener. Comput. Syst.
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto
2019 — conf
DEvIR: Data Collection and Analysis for the Recommendation of Events and Itineraries.
HICSS
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
2019 — conf
Dataset Shift Quantification for Credit Card Fraud Detection.
AIKE
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Liyun He-Guelton, Frédéric Oblé, Michael Granitzer
2019 J jnl
Dataset shift quantification for credit card fraud detection.
CoRR
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Liyun He-Guelton, Frédéric Oblé, Michael Granitzer
2019 Misc conf
Multiple perspectives HMM-based feature engineering for credit card fraud detection.
SAC
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Olivier Caelen, Liyun He-Guelton, Michael Granitzer
2019 J jnl
Multiple perspectives HMM-based feature engineering for credit card fraud detection.
CoRR
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Olivier Caelen, Liyun He-Guelton, Sylvie Calabretto, Michael Granitzer
2019 — conf
Predicting Query Difficulty in IR: Impact of Difficulty Definition.
KSE
Josiane Mothe, Léa Laporte, Adrian-Gabriel Chifu
2019 J jnl
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs.
CoRR
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto
2018 A* conf
Query Performance Prediction Focused on Summarized Letor Features.
SIGIR
Adrian-Gabriel Chifu, Léa Laporte, Josiane Mothe, Md. Zia Ullah
2018 — conf
Recommandation de séquences d'activités lors d'événements distribués.
CORIA
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
2018 — conf
Stacked Gender Prediction from Tweet Texts and Images: Notebook for PAN at CLEF 2018.
CLEF (Working Notes)
Giovanni Ciccone, Arthur Sultan, Léa Laporte, Elöd Egyed-Zsigmond, Alaa Alhamzeh, Michael Granitzer
2018 — conf
TournaRank : Quand la Recherche d'Information devient un tournoi entre documents.
CORIA
Gilles Hubert, Yoann Pitarch, Karen Pinel-Sauvagnat, Ronan Tournier, Léa Laporte
2018 J jnl
TournaRank: When retrieval becomes document competition.
Inf. Process. Manag.
Gilles Hubert, Yoann Pitarch, Karen Pinel-Sauvagnat, Ronan Tournier, Léa Laporte
2017 — conf
INSA LYON and UNI PASSAU's Participation at PAN@CLEF'17: Author Profiling task.
CLEF (Working Notes)
Guillaume Kheng, Léa Laporte, Michael Granitzer
2017 — conf
Itinerary Recommendation for Cruises: User Study.
RecTour@RecSys
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
2017 Misc conf
Recommendation of Short-Term Activity Sequences During Distributed Events.
ICCS
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
2017 — conf
Users psychological profiles for leisure activity recommendation: user study.
CitRec@RecSys
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
2016 — conf
ANASTASIA : recommandation de séquences d'activités spatiotemporelles.
CORIA-CIFED
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
2016 — conf
Leveraging Query Sensitivity for Practical Private Web Search.
Middleware Posters and Demos
Antoine Boutet, Albin Petit, Sonia Ben Mokhtar, Léa Laporte
2015 — conf
La prédiction efficace de la difficulté des requêtes : une tâche impossible?
CORIA
Adrian-Gabriel Chifu, Léa Laporte, Josiane Mothe
2015 J jnl
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM.
CoRR
Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
2015 J jnl
Sélection de variables en apprentissage d'ordonnancement. Évaluation des SVM pondérés.
Document Numérique
Léa Laporte, Sébastien Déjean, Josiane Mothe
2014 J jnl
Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM.
IEEE Trans. Neural Networks Learn. Syst.
Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
2014 — conf
Séparateurs à Vaste Marge pondérés en norme L2 pour la sélection de variables en apprentissage d'ordonnancement.
CORIA-CIFED
Léa Laporte, Sébastien Déjean, Josiane Mothe
2013 J jnl
De l'apprentissage d'ordonnancement à l'adaptation au contexte. État de l'art et propositions.
Document Numérique
Léa Laporte
2013 — conf
Identification de compatibilités entre descripteurs de lieux et apprentissage automatique.
EGC
Estelle Delpech, Laurent Candillier, Léa Laporte, Samuel Phan
2013 — conf
Multiple Clicks Model for Web Search of Multi-clickable Documents.
ICEIS (1)
Léa Laporte, Sébastien Déjean, Josiane Mothe
2012 — conf
Évaluation de la pertinence dans les moteurs de recherche géoréférencés .
INFORSID
Léa Laporte, Laurent Candillier, Sébastien Déjean, Josiane Mothe