Jill-Jênn Vie

46 papers A* 3A 2B 9C 1Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Quality-Diversity Trade-offs for Large-Scale Batch Recommendation. CoRR Clémence Réda, Tomas Rigaux, Hiba Bederina, Koh Takeuchi, Hisashi Kashima, Jill-Jênn Vie
2026	J	`jnl`	Investigating the Influence of Training Difficulty on the Learning Outcomes of Medical Students. J. Comput. Assist. Learn. Erva Nihan Kandemir, Jill-Jênn Vie, Adam Sanchez-Ayte, Olivier Palombi, Franck Ramus
2026	J	`jnl`	Large Language Models as Students Who Think Aloud: Overly Coherent, Verbose, and Confident. CoRR Conrad Borchers, Jill-Jênn Vie, Roger Azevedo
2026	J	`jnl`	Live Knowledge Tracing: Real-Time Adaptation using Tabular Foundation Models. CoRR Mounir Lbath, Alexandre Paresy, Abdelkayoum Kaddouri, Alan André, Alexandre Ittah, Jill-Jênn Vie
2026	A	`conf`	Robust Post-hoc Score Allocation in Exams. LAK Naoyuki Kita, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima
2025	J	`jnl`	Bayesian-Guided Diversity in Sequential Sampling for Recommender Systems. CoRR Hiba Bederina, Jill-Jênn Vie
2025	—	`conf`	Diversified Recommendations of Cultural Activities with Personalized Determinantal Point Processes. RecSoGood@RecSys Carole Ibrahim, Hiba Bederina, Daniel Cuesta, Laurent Montier, Cyrille Delabre, Jill-Jênn Vie
2025	J	`jnl`	Diversified recommendations of cultural activities with personalized determinantal point processes. CoRR Carole Ibrahim, Hiba Bederina, Daniel Cuesta, Laurent Montier, Cyrille Delabre, Jill-Jênn Vie
2025	J	`jnl`	Joint embedding-classifier learning for interpretable collaborative filtering. BMC Bioinform. Clémence Réda, Jill-Jênn Vie, Olaf Wolkenhauer
2024	J	`jnl`	A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents. CoRR Jean Vassoyan, Anan Schütt, Jill-Jênn Vie, Arun-Balajiee Lekshmi-Narayanan, Elisabeth André, Nicolas Vayatis
2024	J	`jnl`	Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students Training Data. CoRR Erva Nihan Kandemir, Jill-Jênn Vie, Adam Sanchez-Ayte, Olivier Palombi, Franck Ramus
2024	A	`conf`	Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students' Training Data. LAK Erva Nihan Kandemir, Jill-Jênn Vie, Adam Sanchez-Ayte, Olivier Palombi, Franck Ramus
2024	B	`conf`	Optimizing Human Learning using Reinforcement Learning. EDM Samuel Girard, Jill-Jênn Vie, Françoise Tort, Amel Bouzeghoub
2024	J	`jnl`	stanscofi and benchscofi: a new standard for drug repurposing by collaborative filtering. J. Open Source Softw. Clémence Réda, Jill-Jênn Vie, Olaf Wolkenhauer
2023	C	`conf`	Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model. ICCE Jill-Jênn Vie, Hisashi Kashima
2023	J	`jnl`	Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model. CoRR Jill-Jênn Vie, Hisashi Kashima
2023	J	`jnl`	Multidimensional Item Response Theory in the Style of Collaborative Filtering. CoRR Yoav Bergner, Peter F. Halpin, Jill-Jênn Vie
2023	B	`conf`	Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning. EDM Jean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger
2023	J	`jnl`	Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning. CoRR Jean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger
2022	J	`jnl`	International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine Griffin M. Weber, Chuan Hong, Zongqi Xia, Nicolas Paris, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Martin Wolkewitz, Scott Wong, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco
2022	A*	`conf`	Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. AAAI Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu
2022	B	`conf`	Privacy-Preserving Synthetic Educational Data Generation. EC-TEL Jill-Jênn Vie, Tomas Rigaux, Sein Minn
2022	J	`jnl`	Privacy-Preserving Synthetic Educational Data Generation. CoRR Jill-Jênn Vie, Tomas Rigaux, Sein Minn
2022	B	`conf`	Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems. IEEE Big Data Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima
2022	J	`jnl`	Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems. CoRR Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima
2021	J	`jnl`	Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. CoRR Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu
2021	B	`ed.`	Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021, virtual, June 29 - July 2, 2021. EDM Sharon I-Han Hsiao, Shaghayegh (Sherry) Sahebi, François Bouchet, Jill-Jênn Vie
2020	J	`jnl`	Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data Remy Kusters, Dusan Misevic, Hugues Berry, Antoine Cully, Yann Le Cunff, Loic Dandoy, Natalia Díaz Rodríguez, Marion Ficher, Jonathan Grizou, Alice Othmani, Themis Palpanas, Matthieu Komorowski, Patrick Loiseau, Clément Moulin-Frier, Santino Nanini, Daniele Quercia, Michèle Sebag, Françoise Fogelman-Soulié, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie, Fatima Wehbi
2020	J	`jnl`	International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, Luca Chiovato, James J. Cimino, Lemuel R. Waitman, Gilbert S. Omenn, Alberto Malovini, Jason H. Moore, Brett K. Beaulieu-Jones, Valentina Tibollo, Shawn N. Murphy, Sehi L'Yi, Mark S. Keller, Riccardo Bellazzi, David A. Hanauer, Arnaud Serret-Larmande, Alba Gutiérrez-Sacristán, John J. Holmes, Douglas S. Bell, Kenneth D. Mandl, Robert W. Follett, Jeffrey G. Klann, Douglas A. Murad, Luigia Scudeller, Mauro Bucalo, Katie G. Kirchoff, Jean B. Craig, Jihad S. Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Lav P. Patel, Antonio Bellasi, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz, Amelia L. M. Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle L. Mowery, Emily Schriver, Batsal Devkota, Robert L. Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot, Stéphane Bréant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loic Estève, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaitre, Silvano Bosari, Ian D. Krantz, Andrew M. South, Tianxi Cai, Isaac S. Kohane
2019	B	`conf`	DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills. EDM Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie
2019	J	`jnl`	DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills. CoRR Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie
2019	A*	`conf`	Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. AAAI Jill-Jênn Vie, Hisashi Kashima
2018	J	`jnl`	Automated Test Assembly for Handling Learner Cold-Start in Large-Scale Assessments. Int. J. Artif. Intell. Educ. Jill-Jênn Vie, Fabrice Popineau, Eric Bruillard, Yolaine Bourda
2018	—	`conf`	Deep Factorization Machines for Knowledge Tracing. BEA@NAACL-HLT Jill-Jênn Vie
2018	J	`jnl`	Deep Factorization Machines for Knowledge Tracing. CoRR Jill-Jênn Vie
2018	A*	`conf`	Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. ICDM Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie
2018	J	`jnl`	Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. CoRR Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie
2018	J	`jnl`	Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. CoRR Jill-Jênn Vie, Hisashi Kashima
2018	—	`conf`	Knowledge Tracing Machines: Towards an Unification of DKT, IRT & PFA. ITS Workshops Jill-Jênn Vie
2018	—	`conf`	Preface. ITS Workshops Fabrice Popineau, Michal Valko, Jill-Jênn Vie
2017	B	`conf`	A Heuristic Method for Large-Scale Cognitive-Diagnostic Computerized Adaptive Testing. L@S Jill-Jênn Vie, Fabrice Popineau, Françoise Tort, Benjamin Marteau, Nathalie Denos
2017	—	`conf`	Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. MANPU@ICDAR Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima
2017	J	`jnl`	Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. CoRR Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima
2016	B	`conf`	Adaptive Testing Using a General Diagnostic Model. EC-TEL Jill-Jênn Vie, Fabrice Popineau, Yolaine Bourda, Eric Bruillard
2015	B	`conf`	Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing. EDM Jill-Jênn Vie, Fabrice Popineau, Jean-Bastien Grill, Eric Bruillard, Yolaine Bourda
2012	—	`conf`	Leakage-Resilient Spatial Encryption. LATINCRYPT Michel Abdalla, Jill-Jênn Vie