Vie, Jill-Jênn, and Hisashi Kashima. n.d.
“Encode & Decode:
Generalizing Deep Knowledge Tracing and Multidimensional Item Response
Theory.” http://jiji.cat/bigdata/edm2019_submission.pdf.
Bergner, Yoav, Peter Halpin, and Jill-Jênn Vie. 2022.
“Multidimensional Item Response Theory in the Style of
Collaborative Filtering.” Psychometrika 87 (1): 266–88.
https://doi.org/10.1007/s11336-021-09788-9.
Brat, Gabriel A, Griffin M Weber, Nils Gehlenborg, Paul Avillach, Nathan
P Palmer, Luca Chiovato, James Cimino, et al. 2020.
“International
Electronic Health Record-Derived COVID-19 Clinical Course Profiles: The
4ce Consortium.” Npj Digital Medecine 3 (1): 109.
https://doi.org/10.1038/s41746-020-00308-0.
Khonsari, Roman Hossein, Mélodie Bernaux, Jill-Jênn Vie, Abdourahmane
Diallo, Nicolas Paris, Liem Binh Luong, Jamal Assouad, et al. 2021.
“Risks of early mortality and pulmonary
complications following surgery in patients with
COVID-19.” British Journal of Surgery, February.
https://doi.org/10.1093/bjs/znab007.
Petria, Iulia, Samuel Albuquerque, Gael Varoquaux, Jill-Jênn Vie,
Gilberto Velho, Gianluca Perseghin, Ronan Roussel, and Louis Potier.
2022.
“424-P: Body-Weight Variability and
Risk of Cardiovascular Outcomes in Type 1 Diabetes: Results from the
DCCT/EDIC Studies.” Diabetes 71
(Supplement_1).
https://doi.org/10.2337/db22-424-P.
Vie, Jill-Jênn, Fabrice Popineau, Éric Bruillard, and Yolaine Bourda.
2018a.
“Automated Test Assembly for Handling Learner Cold-Start in
Large-Scale Assessments.” International Journal of Artificial
Intelligence in Education, 1–16.
https://rdcu.be/G30H.
———. 2018b.
“Utilisation de tests adaptatifs dans les MOOC dans un
cadre de crowdsourcing.” Revue STICEF, Volume 24,
numéro 2, 2017.
https://doi.org/10.23709/sticef.24.2.6.
Yordanov, Youri, Aurélien Dinh, Alexandre Bleibtreu, Arthur Mensch,
François-Xavier Lescure, Erwan Debuc, Patrick Jourdain, Luc Jaulmes,
Agnes Dechartres, and AP-HP/Universities/Inserm COVID-19 research
collaboration. 2021.
“Clinical Characteristics and Factors
Associated with Hospital Admission or Death in 43103 Adult Outpatients
with Coronavirus Disease 2019 Managed with the Covidom Telesurveillance
Solution: A Prospective Cohort Study.” Clinical Microbiology
and Infection 27 (8): 1158–66.
https://doi.org/10.1016/j.cmi.2021.04.010.
Belghiti, Ismael, Roger Mansuy, and Jill-Jênn Vie. 2016. Les clés pour
l’info : ENS et
agrégation (option D). Calvage et Mounet.
Dürr, Christoph, and Jill-Jênn Vie. 2016.
Programmation efficace:
Les 128 algorithmes qu’il faut avoir compris et codés dans
sa vie. Ellipses.
https://tryalgo.org.
———. 2018.
高效算法: 竞赛、应试与提高必修128例. 人民邮电出版社.
https://book.douban.com/subject/30210075/.
———. 2019.
培養與鍛鍊程式設計的邏輯腦:
程式設計大賽的128個進階技巧(使用Python). 博碩文化股份.
http://www.drmaster.com.tw/Bookinfo.asp?BookID=MP11906.
———. 2020. Competitive Programming in Python: 128 Algorithms to
Develop Your Coding Skills. Cambridge University Press.
Popineau, Fabrice, Michal Valko, and Jill-Jênn Vie, eds. 2018.
Proceedings of the 1st International Workshop Eliciting Adaptive
Sequences for Learning (WeASeL). CEUR Workshop Proceedings 1.
https://humanlearn.io/proceedings/vol-1/.
Vie, Jill-Jênn, Fabrice Popineau, Yolaine Bourda, and Éric Bruillard.
2017.
“A Review of Recent Advances in Adaptive Assessment.”
In
Learning Analytics: Fundaments, Applications, and Trends,
113–42. Springer.
https://hal.archives-ouvertes.fr/hal-01488284/document.
Abdalla, Michel, and Jill-Jênn Vie. 2012. “Leakage-Resilient
Spatial Encryption.” In International Conference on
Cryptology and Information Security in Latin America, 78–99.
Springer.
Choffin, Benoı̂t, Fabrice Popineau, Yolaine Bourda, and Jill-Jênn Vie.
2019.
“DAS3H: Modeling Student Learning and
Forgetting for Optimally Scheduling Distributed Practice of
Skills.” In
Proceedings of the
Twelfth International Conference on Educational Data Mining (EDM
2019), 29–38.
https://arxiv.org/abs/1905.06873.
Minn, Sein, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, and Feida Zhu.
2022.
“Interpretable Knowledge Tracing: Simple and Efficient
Student Modeling with Causal Relations.” In
Proceedings of
the AAAI Conference on Artificial Intelligence, 36:12810–18. 11.
https://doi.org/10.1609/aaai.v36i11.21560.
Minn, Sein, Yi Yu, Michel Desmarais, Feida Zhu, and Jill-Jênn Vie. 2018.
“Deep Knowledge Tracing and Dynamic Student Classification for
Knowledge Tracing.” In
Proceedings of the 18th
IEEE International Conference on Data Mining, 1182–87.
https://arxiv.org/abs/1809.08713.
Vie, Jill-Jênn, and Hisashi Kashima. 2019.
“Knowledge Tracing Machines: Factorization Machines for
Knowledge Tracing.” In
Proceedings of the 33th
AAAI Conference on Artificial Intelligence, 750–57.
https://arxiv.org/abs/1811.03388.
Vie, Jill-Jênn, Fabrice Popineau, Yolaine Bourda, and Éric Bruillard.
2016. “Adaptive Testing Using a General Diagnostic Model.”
In European Conference on Technology Enhanced Learning, 331–39.
Springer.
Vie, Jill-Jênn, Tomas Rigaux, and Hisashi Kashima. 2022.
“Variational Factorization Machines for Preference Elicitation in
Large-Scale Recommender Systems.” In
Proceedings of IEEE
BigData 2022, in press.
https://jiji.cat/bigdata/vie2022vfm.pdf.
Vie*, Jill-Jênn, Tomas Rigaux*, and Sein Minn. 2022.
“Privacy-Preserving Synthetic Educational Data Generation.”
In
Proceedings of EC-TEL 2022. Educating for a New Future: Making
Sense of Technology-Enhanced Learning Adoption, 393–406.
https://doi.org/10.1007/978-3-031-16290-9_29.
Choffin, Benoît, Fabrice Popineau, Yolaine Bourda, and Jill-Jênn Vie.
2021.
“Evaluating DAS3H on the EdNet
Dataset.” In
AAAI 2021 - The 35th
Conference on Artificial Intelligence / Imagining Post-COVID Education
with AI. Virtual, United States.
https://hal.archives-ouvertes.fr/hal-03175874.
Vie, Jill-Jênn. 2018.
“Deep Factorization
Machines for Knowledge Tracing.” In
Proceedings of the Thirteenth Workshop on Innovative Use
of NLP for Building Educational Applications, 370–73.
https://arxiv.org/abs/1805.00356.
Vie, Jill-Jênn, Fabrice Popineau, Jean-Bastien Grill, Éric Bruillard,
and Yolaine Bourda. 2015a. “Predicting Performance over
Dichotomous Questions: Comparing Models for Large-Scale Adaptive
Testing.” In 8th International Conference on Educational Data
Mining.
———. 2015b. “Prédiction de performance sur des
questions dichotomiques : comparaison de modèles pour des
tests adaptatifs à grande échelle.” In
Atelier Évaluation des Apprentissages et Environnements
Informatiques.
Vie, Jill-Jênn, Fabrice Popineau, Françoise Tort, Benjamin Marteau, and
Nathalie Denos. 2017.
“A Heuristic Method for Large-Scale
Cognitive-Diagnostic Computerized Adaptive Testing.” In
Proceedings of the Fourth (2017) ACM Conference on Learning @
Scale, 323–26. ACM.
https://github.com/jilljenn/las2017-wip/.
Vie, Jill-Jênn, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi,
Thomas Chalumeau, and Hisashi Kashima. 2017.
“Using Posters to Recommend Anime and Mangas in a
Cold-Start Scenario.” In
2017
14th IAPR International Conference on Document Analysis and Recognition
(ICDAR) – Second International Workshop on Comics Analysis, Processing
and Understanding, 03:21–26.
https://arxiv.org/abs/1709.01584.
Vie, Jill-Jênn. 2009.
“Un Algorithme de Composition
Musicale.” Quadrature, no. 72: 10–14.
https://jill-jenn.net/_static/works/un-algorithme-de-composition-musicale.pdf.
———. 2014a. “Grolopin Et Les Plans Projectifs Finis.”
Tangente Hors-Série, no. 52: 128–31.
———. 2014b. “Langages Rationnels Et Automates Finis.”
Bibliothèque Tangente, no. 52: 52–55.
———. 2018.
“Comment Coder Un Système de
Recommandation En Python : L’exemple de Mangaki.” GNU/Linux
Magazine Hors-Série, no. 94.
https://mangaki.fr/static/mangaki-linuxmag.pdf.
Vie, Jill-Jênn, Alexandre Talon, and Arthur Charguéraud. 2014.
“Les Concours Informatiques Destinés Aux
Jeunes.” Tangente Hors-Série, no. 52: 22.