Sébastien Jolivet

dblp:239/4664 · DBLP profile ↗
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6ranked-venue papers
0as first author
6since 2021 · last 2026
0000-0003-3915-8465ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 6 · 6 since 2021Human-computer interaction and ubiquitous computing · 5 · 5 since 2021
YearPublicationVenuePosition
2026 Embedding Pedagogical Principles into LLMs: A Field Study of AI-Generated Feedback in a Programming Serious Game
Matthieu Branthôme, Badmavasan Kirouchenassamy, Sébastien Lallé, Sébastien Jolivet, Mathieu Muratet, Amel Yessad
AIED4
2026 Offline Reinforcement Learning for Adaptive Feedback in Online Programming Education
Badmavasan Kirouchenassamy, Amel Yessad, Sébastien Jolivet, Vanda Luengo
AIED3
2025 Learning Feedback Policy from Historical Data: An Offline Approach Within Pyrates
Badmavasan Kirouchenassamy, Amel Yessad, Sébastien Jolivet, Matthieu Branthôme, Sébastien Lallé, Vanda Luengo
AIED (1)3
2023 Novel modelling approaches to predict the role of antivirals in reducing influenza transmission
abstract
To aid understanding of the effect of antiviral treatment on population-level influenza transmission, we used a novel pharmacokinetic-viral kinetic transmission model to test the correlation between nasal viral load and infectiousness, and to evaluate the impact that timing of treatment with the antivirals oseltamivir or baloxavir has on influenza transmission. The model was run under three candidate profiles whereby infectiousness was assumed to be proportional to viral titer on a natural-scale, log-scale, or dose-response model. Viral kinetic profiles in the presence and absence of antiviral treatment were compared for each individual (N = 1000 simulated individuals); subsequently, viral transmission mitigation was calculated. The predicted transmission mitigation was greater with earlier administration of antiviral treatment, and with baloxavir versus oseltamivir. When treatment was initiated 12-24 hours post symptom onset, the predicted transmission mitigation was 39.9-56.4% for baloxavir and 26.6-38.3% for oseltamivir depending on the infectiousness profile. When treatment was initiated 36-48 hours post symptom onset, the predicted transmission mitigation decreased to 0.8-28.3% for baloxavir and 0.8-19.9% for oseltamivir. Model estimates were compared with clinical data from the BLOCKSTONE post-exposure prophylaxis study, which indicated the log-scale model for infectiousness best fit the observed data and that baloxavir affords greater reductions in secondary case rates compared with neuraminidase inhibitors. These findings suggest a role for baloxavir and oseltamivir in reducing influenza transmission when treatment is initiated within 48 hours of symptom onset in the index patient.
Jason Asher, Annabelle Lemenuel-Diot, Matthew Clay, David P. Durham, Luis Mier-y-Teran-Romero, Carlos J. Arguello, Sébastien Jolivet, Diana Y. Wong, Klaus Kuhlbusch, Barry Clinch, Jean-Eric Charoin
PLoS Comput. Biol.7
2022 Expressing Adaptations to Take into Account in Generator-based Exercisers: An Exploratory Study about Multiplication Facts
abstract
International audience
Pierre Laforcade, Emeric Mottier, Sébastien Jolivet, Bérénice Lemoine
CSEDU (1)3
2022 Review of the Adaptability of a Set of Learning Games Meant for Teaching Computational Thinking or Programming in France
abstract
International audience
Hajar Saddoug, Aryan Rahimian, Bertrand Marne, Mathieu Muratet, Karim Sehaba, Sébastien Jolivet
CSEDU (1)6