Foreground-to-Ghost Discrimination in Single-Difference Pre-processing. - Francesco Archetti; Cristina E. Manfredotti; Vincenzina Messina; Domenico G. Sorrenti (ACIVS, 2006)

Relational Dynamic Bayesian Networks to Improve Multi-target Tracking. - Cristina E. Manfredotti; Enza Messina (ACIVS, 2009)

Modeling and Inference with Relational Dynamic Bayesian Networks. - Cristina E. Manfredotti (Canadian AI, 2009)

Relations to improve multi-target tracking in an activity recognition system. - Cristina E. Manfredotti; David J. Fleet; Enza Messina (ICDP, 2009)

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)

Simultaneous Tracking and Activity Recognition. - Cristina E. Manfredotti; David J. Fleet; Howard J. Hamilton; Sandra Zilles (ICTAI, 2011)

Multiple Object Tracking with Relations. - Luca Cattelani; Cristina E. Manfredotti; Enza Messina (ICPRAM (1), 2012)

Learning Models of Activities Involving Interacting Objects. - Cristina E. Manfredotti; Kim Steenstrup Pedersen; Howard J. Hamilton; Sandra Zilles (IDA, 2013)

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)

A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection. - Christophe Gonzales; Séverine Dubuisson; Cristina E. Manfredotti (FLAIRS, 2015)

Mapping Ontology with Probabilistic Relational Models. - Cristina E. Manfredotti; Cédric Baudrit; Juliette Dibie-Barthélemy; Pierre-Henri Wuillemin (KEOD, 2015)

Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid. - Mathieu Bouyrie; Cristina E. Manfredotti; Nadine Peyriéras; Antoine Cornuéjols (ICPRAM, 2016)

Learning Probabilistic Relational Models Using an Ontology of Transformation Processes. - Melanie Munch; Pierre-Henri Wuillemin; Cristina E. Manfredotti; Juliette Dibie; Stéphane Dervaux (OTM Conferences (2), 2017)

Investigating Substitutability of Food Items in Consumption Data. - Sema Akkoyunlu; Cristina E. Manfredotti; Antoine Cornuéjols; Nicolas Darcel; Fabien Delaere (HealthRecSys@RecSys, 2017)

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 (DS, 2018)

Exploring Eating Behaviours Modelling for User Clustering. - Sema Akkoyunlu; Cristina E. Manfredotti; Antoine Cornuéjols; Nicolas Darcel; Fabien Delaere (HealthRecSys@RecSys, 2018)

Towards Interactive Causal Relation Discovery Driven by an Ontology. - Melanie Munch; Juliette Dibie; Pierre-Henri Wuillemin; Cristina E. Manfredotti (FLAIRS, 2019)

Interactive Causal Discovery in Knowledge Graphs. - Melanie Munch; Juliette Dibie-Barthélemy; Pierre-Henri Wuillemin; Cristina E. Manfredotti (PROFILES/SEMEX@ISWC, 2019)

A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty. - Cristina E. Manfredotti; Paolo Viappiani (MDAI, 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 (MTSR, 2021)

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)

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)

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 (EGC, 2024)

NutriKG - un graphe de connaissances pour modéliser les préférences et les besoins nutritionnels. - Alexandre Combeau; Fatiha Saïs; Naggeta Kumari; Stéphane Dervaux; Cristina E. Manfredotti; Vincent Guigue; Paolo Viappiani (IC, 2025)

Drought forecasting using a hybrid neural architecture for integrating time series and static data. - Julian Agudelo; Vincent Guigue; Cristina E. Manfredotti; Hadrien Piot (CoRR, 2025)