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ORCIDCristina E. Manfredotti
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- affiliation: AgroParisTech
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2020 – today
- 2024
[c19]Noémie Jacquet, Vincent Guigue, Cristina E. Manfredotti, Fatiha Saïs, Stéphane Dervaux, Paolo Viappiani:
Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire. EGC 2024: 131-142- 2022
- [j4]Mélanie Münch
, Patrice Buche, Stéphane Dervaux, Juliette Dibie, Liliana Ibanescu, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy:
Combining ontology and probabilistic models for the design of bio-based product transformation processes. Expert Syst. Appl. 203: 117406 (2022) - [j3]Melanie Munch, Patrice Buche, Hélène Angellier-Coussy, Cristina E. Manfredotti, Pierre-Henri Wuillemin:
Formalising contextual expert knowledge for causal discovery in linked knowledge graphs about transformation processes: application to processing of bio-composites for food packaging. Int. J. Metadata Semant. Ontologies 16(1): 1-15 (2022) - 2021
- [c18]Cristina E. Manfredotti, Paolo Viappiani:
A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty. MDAI 2021: 93-105 - [c17]Mélanie Münch, Patrice Buche, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy:
A Process Reverse Engineering Approach Using Process and Observation Ontology and Probabilistic Relational Models: Application to Processing of Bio-composites for Food Packaging. MTSR 2021: 3-15
2010 – 2019
- 2019
- [c16]Melanie Munch, Juliette Dibie, Pierre-Henri Wuillemin, Cristina E. Manfredotti:
Towards Interactive Causal Relation Discovery Driven by an Ontology. FLAIRS 2019: 504-508 - [c15]Melanie Munch, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin, Cristina E. Manfredotti:
Interactive Causal Discovery in Knowledge Graphs. PROFILES/SEMEX@ISWC 2019: 78-93 - 2018
- [c14]Melanie Munch, Pierre-Henri Wuillemin, Juliette Dibie, Cristina E. Manfredotti, Thomas Allard, Solange Buchin, Elisabeth Guichard:
Identifying Control Parameters in Cheese Fabrication Process Using Precedence Constraints. DS 2018: 421-434 - [c13]Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere:
Exploring Eating Behaviours Modelling for User Clustering. HealthRecSys@RecSys 2018: 46-51 - 2017
- [c12]Melanie Munch, Pierre-Henri Wuillemin, Cristina E. Manfredotti, Juliette Dibie, Stéphane Dervaux:
Learning Probabilistic Relational Models Using an Ontology of Transformation Processes. OTM Conferences (2) 2017: 198-215 - [c11]Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere:
Investigating Substitutability of Food Items in Consumption Data. HealthRecSys@RecSys 2017: 27-31 - 2016
- [c10]Mathieu Bouyrie, Cristina E. Manfredotti, Nadine Peyriéras, Antoine Cornuéjols:
Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid. ICPRAM 2016: 291-298 - 2015
- [c9]Christophe Gonzales, Séverine Dubuisson, Cristina E. Manfredotti:
A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection. FLAIRS 2015: 564-569 - [c8]Cristina E. Manfredotti, Cédric Baudrit, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin:
Mapping Ontology with Probabilistic Relational Models. KEOD 2015: 171-178 - 2014
- [j2]Luca Cattelani, Cristina E. Manfredotti, Enza Messina:
A Particle Filtering Approach for Tracking an Unknown Number of Objects with Dynamic Relations. J. Math. Model. Algorithms Oper. Res. 13(1): 3-21 (2014) - 2013
- [c7]Cristina E. Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles:
Learning Models of Activities Involving Interacting Objects. IDA 2013: 285-297 - 2012
- [c6]Luca Cattelani, Cristina E. Manfredotti, Enza Messina:
Multiple Object Tracking with Relations. ICPRAM (1) 2012: 459-466 - 2011
- [c5]Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles:
Simultaneous Tracking and Activity Recognition. ICTAI 2011: 189-196 - 2010
- [j1]Elisabetta Fersini, Enza Messina, Francesco Archetti, Cristina E. Manfredotti:
Combining Gene Expression Profiles and Drug Activity Patterns Analysis: A Relational Clustering Approach. J. Math. Model. Algorithms 9(3): 275-289 (2010)
2000 – 2009
- 2009
- [c4]Cristina E. Manfredotti, Enza Messina:
Relational Dynamic Bayesian Networks to Improve Multi-target Tracking. ACIVS 2009: 528-539 - [c3]Cristina E. Manfredotti:
Modeling and Inference with Relational Dynamic Bayesian Networks. Canadian AI 2009: 287-290 - [c2]Cristina E. Manfredotti, David J. Fleet, Enza Messina:
Relations to improve multi-target tracking in an activity recognition system. ICDP 2009: 1-6 - 2006
- [c1]Francesco Archetti, Cristina E. Manfredotti, Vincenzina Messina, Domenico G. Sorrenti:
Foreground-to-Ghost Discrimination in Single-Difference Pre-processing. ACIVS 2006: 263-274
Coauthor Index
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