| Designing 3D gesture guidance: visual feedback and feedforward design options W Delamare, T Janssoone, C Coutrix, L Nigay Proceedings of the International Working Conference on Advanced Visual …, 2016 | 27 | 2016 |
| Using temporal association rules for the synthesis of embodied conversational agents with a specific stance T Janssoone, C Clavel, K Bailly, G Richard International conference on intelligent virtual agents, 175-189, 2016 | 25 | 2016 |
| Biopsym: a learning environment for trans-rectal ultrasound guided prostate biopsies. T Janssoone, G Chevreau, L Vadcard, P Mozer, J Troccaz MMVR, 242-246, 2011 | 11 | 2011 |
| Machine learning on electronic health records: Models and features usages to predict medication non-adherence T Janssoone, C Bic, D Kanoun, P Hornus, P Rinder arXiv preprint arXiv:1811.12234, 2018 | 9 | 2018 |
| Temporal association rules for modelling multimodal social signals T Janssoone Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015 | 7 | 2015 |
| The POTUS Corpus, a database of weekly addresses for the study of stance in politics and virtual agents T Janssoone, K Bailly, G Richard, C Clavel Conference on Language Resources and Evaluation (LREC 2020), 11-16, 2020 | 2 | 2020 |
| Predictive Patient Care: Survival Model to Prevent Medication Non-adherence T Janssoone, P Rinder, P Hornus, D Kanoun First International Workshop, PRIME 2018, Held in Conjunction with MICCAI …, 2018 | 1 | 2018 |
| Identification des déterminants de la mauvaise observance et de son impact sur l’échec de greffe P Rinder, P Sinel-Boucher, AB Sartorius, P Hornus, C Bic, T Janssoone, ... Néphrologie & Thérapeutique 17 (5), 387, 2021 | | 2021 |
| Modèles d'apprentissage automatique de la persistance aux médicaments: application au cancer du sein T Janssoone, P Rinder, C Bic, D Kanoun, P Hornus Conférence Nationale en Intelligence Artificielle, 2019 | | 2019 |
| Modèles d'apprentissage automatique pour évaluer le risque de non-persistance aux médicaments T Janssoone, P Rinder, C Bic, D Kanoun, P Hornus Conférence Nationale en Intelligence Artificielle (CNIA), 2019 | | 2019 |
| Analyse de signaux sociaux multimodaux: application à la synthèse d’attitudes sociales chez un agent conversationnel animé T Janssoone Sorbonne Université, 2018 | | 2018 |
| Règles d’Associations Temporelles de signaux sociaux pour la synthèse d’Agents Conversationnels Animés T Janssoone, C Clavel, K Bailly, G Richard Revue d’intelligence artificielle–no 511, 537, 2017 | | 2017 |
| Règles d’associations temporelles de signaux sociaux pour la synthèse d’agents conversationnels animés. Application aux attitudes sociales T Janssoone, C Clavel, K Bailly, R Gaël Revue d'Intelligence Artificielle 31 (5), 511, 2017 | | 2017 |
| Des signaux sociaux aux attitudes : de l’utilisation des règles d’association temporelle T Janssoone, C Clavel, K Bailly, G Richard WACAI 2016, Workshop • Affect • Compagnon Artificiel • Interaction, 2016 | | 2016 |
| Biopsym: a learning environment for transrectal ultrasound guided prostate biopsies J Thomas, G Chevreau, L Vadcard, P Mozer, J Troccaz arXiv preprint arXiv:1011.2107, 2010 | | 2010 |
| Estimating Rapport in Conversations: An Interpretable and Dyadic Multi-Modal Approach G GRIMBERG, T JANSSOONE, C CLAVEL, J CASSELL | | |
| Temporal association rules of social signals for the synthesis of behaviors of embodied conversationnal agents. Application to interpersonal stance T Janssoone, C Clavel, K Bailly, G Richard, N Fourati, A Richard, ... | | |
| AI for Patient Support: Predictive Model of Medication Non-Adherence T Janssoone, C Bic, D Kanoun, P Rinder, P Hornus | | |
Chloé ClavelTelecom-ParisTechAdresse e-mail validée de telecom-paristech.fr
