Cristina E. Manfredotti

According to our database, Cristina E. Manfredotti authored at least 23 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire.

Noémie Jacquet, Vincent Guigue, Cristina E. Manfredotti, Fatiha Saïs, Stéphane Dervaux, Paolo Viappiani

Proceedings of the Extraction et Gestion des Connaissances, 2024

2022

Formalising contextual expert knowledge for causal discovery in linked knowledge graphs about transformation processes: application to processing of bio-composites for food packaging.

Melanie Munch, Patrice Buche, Hélène Angellier-Coussy, Cristina E. Manfredotti, Pierre-Henri Wuillemin

Int. J. Metadata Semant. Ontologies, 2022

Combining ontology and probabilistic models for the design of bio-based product transformation processes.

Mélanie Münch, Patrice Buche, Stéphane Dervaux, Juliette Dibie, Liliana Ibanescu, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy

Expert Syst. Appl., 2022

2021

A Process Reverse Engineering Approach Using Process and Observation Ontology and Probabilistic Relational Models: Application to Processing of Bio-composites for Food Packaging.

Mélanie Münch, Patrice Buche, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy

Proceedings of the Metadata and Semantic Research - 15th International Conference, 2021

A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty.

Cristina E. Manfredotti, Paolo Viappiani

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

2019

Interactive Causal Discovery in Knowledge Graphs.

Melanie Munch, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin, Cristina E. Manfredotti

Proceedings of the Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

Towards Interactive Causal Relation Discovery Driven by an Ontology.

Melanie Munch, Juliette Dibie, Pierre-Henri Wuillemin, Cristina E. Manfredotti

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018

Exploring Eating Behaviours Modelling for User Clustering.

Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere

Proceedings of the 3rd International Workshop on Health Recommender Systems, 2018

Identifying Control Parameters in Cheese Fabrication Process Using Precedence Constraints.

Melanie Munch, Pierre-Henri Wuillemin, Juliette Dibie, Cristina E. Manfredotti, Thomas Allard, Solange Buchin, Elisabeth Guichard

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

Investigating Substitutability of Food Items in Consumption Data.

Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere

Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017), 2017

Learning Probabilistic Relational Models Using an Ontology of Transformation Processes.

Melanie Munch, Pierre-Henri Wuillemin, Cristina E. Manfredotti, Juliette Dibie, Stéphane Dervaux

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

2016

Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid.

Mathieu Bouyrie, Cristina E. Manfredotti, Nadine Peyriéras, Antoine Cornuéjols

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015

Mapping Ontology with Probabilistic Relational Models.

Cristina E. Manfredotti, Cédric Baudrit, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin

Proceedings of the KEOD 2015, 2015

A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection.

Christophe Gonzales, Séverine Dubuisson, Cristina E. Manfredotti

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014

A Particle Filtering Approach for Tracking an Unknown Number of Objects with Dynamic Relations.

Luca Cattelani, Cristina E. Manfredotti, Enza Messina

J. Math. Model. Algorithms Oper. Res., 2014

2013

Learning Models of Activities Involving Interacting Objects.

Cristina E. Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2012

Multiple Object Tracking with Relations.

Luca Cattelani, Cristina E. Manfredotti, Enza Messina

Proceedings of the ICPRAM 2012, 2012

2011

Simultaneous Tracking and Activity Recognition.

Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010

Combining Gene Expression Profiles and Drug Activity Patterns Analysis: A Relational Clustering Approach.

Elisabetta Fersini, Enza Messina, Francesco Archetti, Cristina E. Manfredotti

J. Math. Model. Algorithms, 2010

2009

Relations to improve multi-target tracking in an activity recognition system.

Cristina E. Manfredotti, David J. Fleet, Enza Messina

Proceedings of the 3rd International Conference on Imaging for Crime Detection and Prevention, 2009

Modeling and Inference with Relational Dynamic Bayesian Networks.

Cristina E. Manfredotti

Proceedings of the Advances in Artificial Intelligence, 2009

Relational Dynamic Bayesian Networks to Improve Multi-target Tracking.

Cristina E. Manfredotti, Enza Messina

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2009

2006

Foreground-to-Ghost Discrimination in Single-Difference Pre-processing.

Francesco Archetti, Cristina E. Manfredotti, Vincenzina Messina, Domenico G. Sorrenti

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006