| Modeling and inference with relational dynamic Bayesian networks C Manfredotti Advances in Artificial Intelligence: 22nd Canadian Conference on Artificial …, 2009 | 55 | 2009 |
| Towards interactive causal relation discovery driven by an ontology M Munch, J Dibie, PH Wuillemin, C Manfredotti The Thirty-Second International Flairs Conference, 2019 | 22 | 2019 |
| Investigating substitutability of food items in consumption data S Akkoyunlu, C Manfredotti, A Cornuéjols, N Darcel, F Delaere Second International Workshop on Health Recommender Systems co-located with …, 2017 | 19 | 2017 |
| Learning probabilistic relational models using an ontology of transformation processes M Munch, PH Wuillemin, C Manfredotti, J Dibie, S Dervaux On the Move to Meaningful Internet Systems. OTM 2017 Conferences …, 2017 | 19 | 2017 |
| A new algorithm for learning non-stationary dynamic Bayesian networks with application to event detection C Gonzales, S Dubuisson, C Manfredotti The twenty-eighth international flairs conference, 2015 | 18 | 2015 |
| Interactive causal discovery in knowledge graphs M Munch, J Dibie-Barthelemy, PH Wuillemin, C Manfredotti PROFILES/SEMEX@ ISWC 2019 2465, 78-93, 2019 | 16 | 2019 |
| Relational dynamic Bayesian networks to improve multi-target tracking C Manfredotti, E Messina International Conference on Advanced Concepts for Intelligent Vision Systems …, 2009 | 15 | 2009 |
| Foreground-to-ghost discrimination in single-difference pre-processing F Archetti, CE Manfredotti, V Messina, DG Sorrenti Advanced Concepts for Intelligent Vision Systems: 8th International …, 2006 | 12 | 2006 |
| A particle filtering approach for tracking an unknown number of objects with dynamic relations L Cattelani, C Manfredotti, E Messina Journal of Mathematical Modelling and Algorithms in Operations Research 13, 3-21, 2014 | 11 | 2014 |
| Learning RDBNs for activity recognition C Manfredotti, H Hamilton, S Zilles NIPS Workshop on Learning and Planning from Batch Time Series Data, 59, 2010 | 11 | 2010 |
| Simultaneous tracking and activity recognition C Manfredotti, DJ Fleet, HJ Hamilton, S Zilles 2011 IEEE 23rd International Conference on Tools with Artificial …, 2011 | 10 | 2011 |
| Combining ontology and probabilistic models for the design of bio-based product transformation processes M Munch, P Buche, S Dervaux, J Dibie, L Ibanescu, C Manfredotti, ... Expert Systems with Applications 203, 117406, 2022 | 9 | 2022 |
| Principles and validations of an artificial intelligence-based recommender system suggesting acceptable food changes J Vandeputte, P Herold, M Kuslii, P Viappiani, L Muller, C Martin, ... The Journal of Nutrition 153 (2), 598-604, 2023 | 7 | 2023 |
| Exploring eating behaviours modelling for user clustering S Akkoyunlu, C Manfredotti, A Cornuéjols, N Darcel, F Delaere HealthRecSys@ RecSys 2018 colocated with ACM Recsys’ 18 (ACM Conference …, 2018 | 7 | 2018 |
| A process reverse engineering approach using Process and Observation Ontology and Probabilistic Relational Models: Application to processing of bio-composites for food packaging M Münch, P Buche, C Manfredotti, PH Wuillemin, H Angellier-Coussy Research Conference on Metadata and Semantics Research, 3-15, 2021 | 6 | 2021 |
| Combining gene expression profiles and drug activity patterns analysis: A relational clustering approach E Fersini, E Messina, F Archetti, C Manfredotti Journal of Mathematical Modelling and Algorithms 9, 275-289, 2010 | 6 | 2010 |
| Parallel first-order markov chain for on-line anomaly detection in traffic video surveillance F Archetti, CE Manfredotti, M Matteucci, V Messina, DG Sorrenti 2006 IET Conference on Crime and Security, 582-587, 2006 | 6 | 2006 |
| Relations as context to improve multi-target tracking and activity recognition C Manfredotti12, E Messina, D Fleet | 5 | 2009 |
| Identifying control parameters in cheese fabrication process using precedence constraints M Munch, PH Wuillemin, J Dibie, C Manfredotti, T Allard, S Buchin, ... Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus …, 2018 | 4 | 2018 |
| Relational particle filtering CE Manfredotti, DJ Fleet, HJ Hamilton, S Zilles Monte Carlo Methods for Modern Applications, 2010 NIPS Workshop, Whistler, BC, 2010 | 4 | 2010 |
Pierre-Henri WuilleminSorbonne UniversityVerified email at lip6.fr
