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Books and Theses

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2023
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Fabrice Popineau:
Approche Logique de la Personnalisation dans les Environnements Informatiques pour l'Apprentissage Humain. (Logic Approach of Personalization in Technology Enhanced Learning). University of Paris-Saclay, France, 2023

Journal Articles

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2018
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Jill-Jênn Vie, Fabrice Popineau, Eric Bruillard, Yolaine Bourda:
Automated Test Assembly for Handling Learner Cold-Start in Large-Scale Assessments. Int. J. Artif. Intell. Educ. 28(4): 616-631 (2018)
2017
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Youssef Meguebli, Mouna Kacimi, Bich-Liên Doan, Fabrice Popineau:
Towards better news article recommendation - With the help of user comments. World Wide Web 20(6): 1293-1312 (2017)

Conference and Workshop Papers

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2024
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Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan:
Retrieval Augmented Deep Anomaly Detection for Tabular Data. CIKM 2024: 2250-2259
[c33]
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Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan:
Beyond Individual Input for Deep Anomaly Detection on Tabular Data. ICML 2024
2023
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Marc Velay, Bich-Liên Doan, Arpad Rimmel, Fabrice Popineau, Fabrice Daniel:
Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management. INISTA 2023: 1-6
2022
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Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel:
TracInAD: Measuring Influence for Anomaly Detection. IJCNN 2022: 1-6
2021
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Benoît Choffin, Fabrice Popineau, Yolaine Bourda:
Extending Adaptive Spacing Heuristics to MultiSkill Items. EDM 2021
2020
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Julien Hay, Bich-Liên Doan, Fabrice Popineau, Ouassim Ait ElHara:
Representation learning of writing style. W-NUT@EMNLP 2020: 232-243
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Julien Hay, Bich-Liên Doan, Fabrice Popineau, Ouassim Ait ElHara:
Filtering a Reference Corpus to Generalize Stylometric Representations. KDIR 2020: 259-268
2019
[c27]
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Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie:
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills. EDM 2019
2018
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Hiba Hajri, Yolaine Bourda, Fabrice Popineau:
A System to Recommend Open Educational Resources during an Online Course. CSEDU (1) 2018: 99-109
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Hiba Hajri, Yolaine Bourda, Fabrice Popineau:
Personalized Recommendation of Open Educational Resources in MOOCs. CSEDU (Selected Papers) 2018: 166-190
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Julien Hay, Tim Van de Cruys, Philippe Muller, Bich-Liên Doan, Fabrice Popineau, Ouassim Ait ElHara:
Automatically Selecting Complementary Vector Representations for Semantic Textual Similarity. EGC (best of volume) 2018: 45-60
[c23]
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Julien Hay, Tim Van de Cruys, Philippe Muller, Bich-Liên Doan, Fabrice Popineau, Lyes Benamsili:
Complémentarités de représentations vectorielles pour la similarité sémantique. EGC 2018: 179-190
[c22]
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Fabrice Popineau, Michal Valko, Jill-Jênn Vie:
Preface. ITS Workshops 2018: 141-143
2017
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Hiba Hajri, Yolaine Bourda, Fabrice Popineau:
MORS: A System for Recommending OERs in a MOOC. ICALT 2017: 50-52
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Jill-Jênn Vie, Fabrice Popineau, Françoise Tort, Benjamin Marteau, Nathalie Denos:
A Heuristic Method for Large-Scale Cognitive-Diagnostic Computerized Adaptive Testing. L@S 2017: 323-326
2016
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Youssef Meguebli, Bich-Liên Doan, Fabrice Popineau:
Personalizing Information Retrieval Using an Extension of a Dung Argumentation. CSE/EUC/DCABES 2016: 681-686
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Jill-Jênn Vie, Fabrice Popineau, Yolaine Bourda, Eric Bruillard:
Adaptive Testing Using a General Diagnostic Model. EC-TEL 2016: 331-339
2015
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Hiba Hajri, Yolaine Bourda, Fabrice Popineau:
Querying Repositories of OER Descriptions: The Challenge of Educational Metadata Schemas Diversity. EC-TEL 2015: 582-586
[c16]
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Jill-Jênn Vie, Fabrice Popineau, Jean-Bastien Grill, Eric Bruillard, Yolaine Bourda:
Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing. EDM 2015: 618-619
2014
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Youssef Meguebli, Mouna Kacimi, Bich-Liên Doan, Fabrice Popineau:
Unsupervised Approach for Identifying Users' Political Orientations. ECIR 2014: 507-512
[c14]
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Youssef Meguebli, Mouna Kacimi, Bich-Liên Doan, Fabrice Popineau:
Exploiting Social Debates for Opinion Ranking. KDIR 2014: 250-260
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Youssef Meguebli, Mouna Kacimi, Bich-Liên Doan, Fabrice Popineau:
Stories Around You - A Two-Stage Personalized News Recommendation. KDIR 2014: 473-479
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Fabrice Popineau, Georges Dubus, Yolaine Bourda:
Personalization and Personification: A Constructive Approach Based on Parametric Agents. IVA 2014: 339-344
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Youssef Meguebli, Mouna Kacimi, Bich-Liên Doan, Fabrice Popineau:
How Hidden Aspects Can Improve Recommendation? SocInfo 2014: 269-278
[c10]
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Youssef Meguebli, Mouna Kacimi, Bich-Liên Doan, Fabrice Popineau:
Building Rich User Profiles for Personalized News Recommendation. UMAP Workshops 2014
2013
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Georges Dubus, Fabrice Popineau, Yolaine Bourda, Jean-Paul Sansonnet:
Parametric Reasoning Agents Extend the Control over Standard Behaviors. IAT 2013: 163-170
2011
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Georges Dubus, Fabrice Popineau, Yolaine Bourda:
A Formal Approach to Personalization. ICTAI 2011: 233-238
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Georges Dubus, Fabrice Popineau, Yolaine Bourda:
Situation calculus and personalized web systems. ISDA 2011: 569-574
2008
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Nadjet Zemirline, Yolaine Bourda, Chantal Reynaud, Fabrice Popineau:
Assisting in Reuse of Adaptive Hypermedia Creator's Models. AH 2008: 357-360
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Nadjet Zemirline, Chantal Reynaud, Yolaine Bourda, Fabrice Popineau:
A Pattern and Rule-Based Approach for Reusing Adaptive Hypermedia Creator's Models. EKAW 2008: 17-31
2006
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Cédric Jacquiot, Yolaine Bourda, Fabrice Popineau, Alexandre Delteil, Chantal Reynaud:
GLAM: A Generic Layered Adaptation Model for Adaptive Hypermedia Systems. AH 2006: 131-140
2004
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Cédric Jacquiot, Yolaine Bourda, Fabrice Popineau:
GEAHS: A Generic Educational Adaptive Hypermedia System Based on Situation Calculus. AH 2004: 413-416
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Cédric Jacquiot, Yolaine Bourda, Fabrice Popineau:
Reusability in GEAHS. ICWE Workshops 2004: 199-209
2003
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Fabrice Popineau, Yolaine Bourda, Bich-Liên Doan:
Generating Adaptive Hypermedia with Golog and Conceptual Graphs. ICALT 2003: 463

Informal and Other Publications

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2024
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Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan:
Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again. CoRR abs/2401.17052 (2024)
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  - journals/corr/abs-2410-05016
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Hugo Thimonier, José Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan:
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data. CoRR abs/2410.05016 (2024)
2023
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Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan:
Beyond Individual Input for Deep Anomaly Detection on Tabular Data. CoRR abs/2305.15121 (2023)
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Marc Velay, Bich-Liên Doan, Arpad Rimmel, Fabrice Popineau, Fabrice Daniel:
Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management. CoRR abs/2306.10950 (2023)
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Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel:
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments. CoRR abs/2312.13896 (2023)
2022
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Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel:
TracInAD: Measuring Influence for Anomaly Detection. CoRR abs/2205.01362 (2022)
2020
[i2]
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Benoît Choffin, Fabrice Popineau, Yolaine Bourda:
Modelling Student Learning and Forgetting for Optimally Scheduling Skill Review. ERCIM News 2020(120) (2020)
2019
[i1]
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  - journals/corr/abs-1905-06873
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Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie:
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills. CoRR abs/1905.06873 (2019)

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