Léa Laporte

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 22

Top Topics

Credit Card Fraud Detection

Feature Engineering

Multiple Perspectives

Fraud Detection

Top Venues

Document Numérique

Publications

Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto
EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based Model and Knowledge Graph Embedding. WI/IAT (2021)
Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto
Recommandation diversifiée via des processus ponctuels déterminantaux sur des graphes de connaissances. EGC (2021)
Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto
Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs. SIGIR (2020)
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs. Future Gener. Comput. Syst. 102 (2020)
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Olivier Caelen, Liyun He-Guelton, Michael Granitzer
Multiple perspectives HMM-based feature engineering for credit card fraud detection. SAC (2019)
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Liyun He-Guelton, Frédéric Oblé, Michael Granitzer
Dataset shift quantification for credit card fraud detection. CoRR (2019)
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
DEvIR: Data Collection and Analysis for the Recommendation of Events and Itineraries. HICSS (2019)
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs. CoRR (2019)
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Olivier Caelen, Liyun He-Guelton, Sylvie Calabretto, Michael Granitzer
Multiple perspectives HMM-based feature engineering for credit card fraud detection. CoRR (2019)
Josiane Mothe, Léa Laporte, Adrian-Gabriel Chifu
Predicting Query Difficulty in IR: Impact of Difficulty Definition. KSE (2019)
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Liyun He-Guelton, Frédéric Oblé, Michael Granitzer
Dataset Shift Quantification for Credit Card Fraud Detection. AIKE (2019)
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
Recommandation de séquences d'activités lors d'événements distribués. CORIA (2018)
Giovanni Ciccone, Arthur Sultan, Léa Laporte, Elöd Egyed-Zsigmond, Alaa Alhamzeh, Michael Granitzer
Stacked Gender Prediction from Tweet Texts and Images: Notebook for PAN at CLEF 2018. CLEF (Working Notes) (2018)
Gilles Hubert, Yoann Pitarch, Karen Pinel-Sauvagnat, Ronan Tournier, Léa Laporte
TournaRank: When retrieval becomes document competition. Inf. Process. Manag. 54 (2) (2018)
Gilles Hubert, Yoann Pitarch, Karen Pinel-Sauvagnat, Ronan Tournier, Léa Laporte
TournaRank : Quand la Recherche d'Information devient un tournoi entre documents. CORIA (2018)
Adrian-Gabriel Chifu, Léa Laporte, Josiane Mothe, Md Zia Ullah
Query Performance Prediction Focused on Summarized Letor Features. SIGIR (2018)
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
Users psychological profiles for leisure activity recommendation: user study. CitRec@RecSys (2017)
Guillaume Kheng, Léa Laporte, Michael Granitzer
INSA LYON and UNI PASSAU's Participation at PAN@CLEF'17: Author Profiling task. CLEF (Working Notes) (2017)
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
Recommendation of Short-Term Activity Sequences During Distributed Events. ICCS (2017)
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
Itinerary Recommendation for Cruises: User Study. RecTour@RecSys (2017)
Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel
ANASTASIA : recommandation de séquences d'activités spatiotemporelles. CORIA-CIFED (2016)
Antoine Boutet, Albin Petit, Sonia Ben Mokhtar, Léa Laporte
Leveraging Query Sensitivity for Practical Private Web Search. Middleware Posters and Demos (2016)
Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM. CoRR (2015)
Adrian-Gabriel Chifu, Léa Laporte, Josiane Mothe
La prédiction efficace de la difficulté des requêtes : une tâche impossible? CORIA (2015)
Léa Laporte, Sébastien Déjean, Josiane Mothe
Sélection de variables en apprentissage d'ordonnancement. Évaluation des SVM pondérés. Document Numérique 18 (1) (2015)
Léa Laporte, Sébastien Déjean, Josiane Mothe
Séparateurs à Vaste Marge pondérés en norme L2 pour la sélection de variables en apprentissage d'ordonnancement. CORIA-CIFED (2014)
Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM. IEEE Trans. Neural Networks Learn. Syst. 25 (6) (2014)
Léa Laporte
De l'apprentissage d'ordonnancement à l'adaptation au contexte. État de l'art et propositions. Document Numérique 16 (1) (2013)
Léa Laporte, Sébastien Déjean, Josiane Mothe
Multiple Clicks Model for Web Search of Multi-clickable Documents. ICEIS (1) (2013)
Estelle Delpech, Laurent Candillier, Léa Laporte, Samuel Phan
Identification de compatibilités entre descripteurs de lieux et apprentissage automatique. EGC (2013)
Léa Laporte, Laurent Candillier, Sébastien Déjean, Josiane Mothe
Évaluation de la pertinence dans les moteurs de recherche géoréférencés . INFORSID (2012)