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ORCIDJill-Jênn Vie
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2020 – today
- 2024
[j5]Clémence Réda
, Jill-Jênn Vie, Olaf Wolkenhauer:
stanscofi and benchscofi: a new standard for drug repurposing by collaborative filtering. J. Open Source Softw. 9(94): 5973 (2024)- [c17]Samuel Girard, Jill-Jênn Vie, Françoise Tort, Amel Bouzeghoub:
Optimizing Human Learning using Reinforcement Learning. EDM 2024 - [c16]Erva Nihan Kandemir, Jill-Jênn Vie, Adam Sanchez-Ayte, Olivier Palombi, Franck Ramus:
Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students' Training Data. LAK 2024: 123-133 - [i12]Erva Nihan Kandemir, Jill-Jênn Vie, Adam Sanchez-Ayte, Olivier Palombi, Franck Ramus:
Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students Training Data. CoRR abs/2403.07908 (2024) - 2023
- [c15]Jean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger:
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning. EDM 2023 - [i11]Yoav Bergner, Peter F. Halpin, Jill-Jênn Vie:
Multidimensional Item Response Theory in the Style of Collaborative Filtering. CoRR abs/2301.00909 (2023) - [i10]Jean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger:
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning. CoRR abs/2305.06398 (2023) - [i9]Jill-Jênn Vie, Hisashi Kashima:
Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model. CoRR abs/2309.12334 (2023) - 2022
- [j4]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:
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine 5 (2022) - [c14]Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. AAAI 2022: 12810-12818 - [c13]Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima:
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems. IEEE Big Data 2022: 5607-5614 - [c12]Jill-Jênn Vie, Tomas Rigaux, Sein Minn:
Privacy-Preserving Synthetic Educational Data Generation. EC-TEL 2022: 393-406 - [i8]Jill-Jênn Vie, Tomas Rigaux, Sein Minn:
Privacy-Preserving Synthetic Educational Data Generation. CoRR abs/2207.03202 (2022) - [i7]Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima:
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems. CoRR abs/2212.09920 (2022) - 2021
- [e1]Sharon I-Han Hsiao, Shaghayegh (Sherry) Sahebi, François Bouchet, Jill-Jênn Vie:
Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021, virtual, June 29 - July 2, 2021. International Educational Data Mining Society 2021 [contents] - [i6]Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. CoRR abs/2112.11209 (2021) - 2020
- [j3]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:
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data 3: 577974 (2020) - [j2]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 Esteve, 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:
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [c11]Jill-Jênn Vie, Hisashi Kashima:
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. AAAI 2019: 750-757 - [c10]Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie:
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills. EDM 2019 - [i5]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) - 2018
- [j1]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) - [c9]Jill-Jênn Vie:
Deep Factorization Machines for Knowledge Tracing. BEA@NAACL-HLT 2018: 370-373 - [c8]Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie:
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. ICDM 2018: 1182-1187 - [c7]Fabrice Popineau, Michal Valko, Jill-Jênn Vie:
Preface. ITS Workshops 2018: 141-143 - [c6]Jill-Jênn Vie:
Knowledge Tracing Machines: Towards an Unification of DKT, IRT & PFA. ITS Workshops 2018: 149 - [i4]Jill-Jênn Vie:
Deep Factorization Machines for Knowledge Tracing. CoRR abs/1805.00356 (2018) - [i3]Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie:
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. CoRR abs/1809.08713 (2018) - [i2]Jill-Jênn Vie, Hisashi Kashima:
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. CoRR abs/1811.03388 (2018) - 2017
- [c5]Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima:
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. MANPU@ICDAR 2017: 21-26 - [c4]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 - [i1]Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima:
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. CoRR abs/1709.01584 (2017) - 2016
- [c3]Jill-Jênn Vie, Fabrice Popineau, Yolaine Bourda, Eric Bruillard:
Adaptive Testing Using a General Diagnostic Model. EC-TEL 2016: 331-339 - 2015
- [c2]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 - 2012
- [c1]Michel Abdalla, Jill-Jênn Vie:
Leakage-Resilient Spatial Encryption. LATINCRYPT 2012: 78-99
Coauthor Index
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last updated on 2024-10-31 21:07 CET by the dblp team
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