Cristina Manfredotti
Cristina Manfredotti
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Modeling and inference with relational dynamic Bayesian networks
C Manfredotti
Canadian Conference on Artificial Intelligence, 287-290, 2009
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
Relational dynamic Bayesian networks to improve multi-target tracking
C Manfredotti, E Messina
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2009
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
Foreground-to-ghost discrimination in single-difference pre-processing
F Archetti, CE Manfredotti, V Messina, DG Sorrenti
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2006
Learning RDBNs for activity recognition
C Manfredotti, H Hamilton, S Zilles
NIPS Workshop on Learning and Planning from Batch Time Series Data, 59, 2010
Learning probabilistic relational models using an ontology of transformation processes
M Munch, PH Wuillemin, C Manfredotti, J Dibie, S Dervaux
OTM Confederated International Conferences" On the Move to Meaningful …, 2017
Simultaneous tracking and activity recognition
C Manfredotti, DJ Fleet, HJ Hamilton, S Zilles
2011 IEEE 23rd International Conference on Tools with Artificial …, 2011
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 …, 2014
Interactive causal discovery in knowledge graphs
M Munch, J Dibie-Barthelemy, PH Wuillemin, C Manfredotti
PROFILES/SEMEX@ ISWC 2019 2465, 78-93, 2019
Towards interactive causal relation discovery driven by an ontology
M Munch, J Dibie, PH Wuillemin, C Manfredotti
The Thirty-Second International Flairs Conference, 2019
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 (3), 275-289, 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
Relational particle filtering
CE Manfredotti, DJ Fleet, HJ Hamilton, S Zilles
NIPS Workshop on Monte Carlo methods for modern applications, 2010
Identifying control parameters in cheese fabrication process using precedence constraints
M Munch, PH Wuillemin, J Dibie, C Manfredotti, T Allard, S Buchin, ...
International Conference on Discovery Science, 421-434, 2018
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
Mapping Ontology with Probabilistic Relational Models.
CE Manfredotti, C Baudrit, J Dibie-Barthélemy, PH Wuillemin
KEOD, 171-178, 2015
Multiple Object Tracking with Relations.
L Cattelani, CE Manfredotti, E Messina
ICPRAM (1), 459-466, 2012
Relations as Context to Improve Multi-Target Tracking and Activity Recognition
C Manfredotti12, E Messina, D Fleet
Relations to improve multi-target tracking in an activity recognition system
CE Manfredotti, D Fleet, E Messina
IET Digital Library, 2009
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