Jill-Jênn Vie

According to our database, Jill-Jênn Vie authored at least 24 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

stanscofi and benchscofi: a new standard for drug repurposing by collaborative filtering.

Clémence Réda, Jill-Jênn Vie, Olaf Wolkenhauer

J. Open Source Softw., February, 2024

Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students' Training Data.

Erva Nihan Kandemir, Jill-Jênn Vie, Adam Sanchez-Ayte, Olivier Palombi, Franck Ramus

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Optimizing Human Learning using Reinforcement Learning.

Samuel Girard, Jill-Jênn Vie, Françoise Tort, Amel Bouzeghoub

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model.

Jill-Jênn Vie, Hisashi Kashima

CoRR, 2023

Multidimensional Item Response Theory in the Style of Collaborative Filtering.

Yoav Bergner, Peter F. Halpin, Jill-Jênn Vie

CoRR, 2023

Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning.

Jean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger

Proceedings of the 16th International Conference on Educational Data Mining, 2023

2022

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.

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

npj Digit. Medicine, 2022

Privacy-Preserving Synthetic Educational Data Generation.

Jill-Jênn Vie, Tomas Rigaux, Sein Minn

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems.

Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima

Proceedings of the IEEE International Conference on Big Data, 2022

Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations.

Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.

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

npj Digit. Medicine, 2020

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities.

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

Frontiers Big Data, 2020

2019

DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills.

Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing.

Jill-Jênn Vie, Hisashi Kashima

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Automated Test Assembly for Handling Learner Cold-Start in Large-Scale Assessments.

Jill-Jênn Vie, Fabrice Popineau, Eric Bruillard, Yolaine Bourda

Int. J. Artif. Intell. Educ., 2018

Knowledge Tracing Machines: Towards an Unification of DKT, IRT & PFA.

Jill-Jênn Vie

Proceedings of the 14th International Conference on Intelligent Tutoring Systems 2018 Workshops, 2018

Preface.

Fabrice Popineau, Michal Valko, Jill-Jênn Vie

Proceedings of the 14th International Conference on Intelligent Tutoring Systems 2018 Workshops, 2018

Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing.

Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie

Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Factorization Machines for Knowledge Tracing.

Jill-Jênn Vie

Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

2017

A Heuristic Method for Large-Scale Cognitive-Diagnostic Computerized Adaptive Testing.

Jill-Jênn Vie, Fabrice Popineau, Françoise Tort, Benjamin Marteau, Nathalie Denos

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario.

Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima

Proceedings of the 2nd International Workshop on coMics Analysis, 2017

2016

Adaptive Testing Using a General Diagnostic Model.

Jill-Jênn Vie, Fabrice Popineau, Yolaine Bourda, Eric Bruillard

Proceedings of the Adaptive and Adaptable Learning, 2016

2015

Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing.

Jill-Jênn Vie, Fabrice Popineau, Jean-Bastien Grill, Eric Bruillard, Yolaine Bourda

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2012

Leakage-Resilient Spatial Encryption.

Michel Abdalla, Jill-Jênn Vie

Proceedings of the Progress in Cryptology - LATINCRYPT 2012, 2012