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Jill-Jênn Vie
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Journal Articles
- 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 2023
- [c15]Jean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger:
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning. EDM 2023 - 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 - 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 - 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 - 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 - 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
Editorship
- 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]
Informal and Other Publications
- 2024
- [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
- [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
- [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
- [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) - 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
- [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
- [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)
Coauthor Index
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last updated on 2024-04-24 22:52 CEST by the dblp team
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