Cristina E. Manfredotti

26 papers B 6C 2Misc 2Journal 5Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Drought forecasting using a hybrid neural architecture for integrating time series and static data. CoRR Julian Agudelo, Vincent Guigue, Cristina E. Manfredotti, Hadrien Piot
2025	—	`conf`	NutriKG - un graphe de connaissances pour modéliser les préférences et les besoins nutritionnels. IC Alexandre Combeau, Fatiha Saïs, Naggeta Kumari, Stéphane Dervaux, Cristina E. Manfredotti, Vincent Guigue, Paolo Viappiani
2024	—	`conf`	Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire. EGC Noémie Jacquet, Vincent Guigue, Cristina E. Manfredotti, Fatiha Saïs, Stéphane Dervaux, Paolo Viappiani
2022	J	`jnl`	Combining ontology and probabilistic models for the design of bio-based product transformation processes. Expert Syst. Appl. Mélanie Münch, Patrice Buche, Stéphane Dervaux, Juliette Dibie, Liliana Ibanescu, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy
2022	J	`jnl`	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 Melanie Munch, Patrice Buche, Hélène Angellier-Coussy, Cristina E. Manfredotti, Pierre-Henri Wuillemin
2022	—	`conf`	Une approche d'ingénierie inverse combinant ontologies et modèles relationnels probabilistes: application aux emballages bio-composites. IC Melanie Munch, Patrice Buche, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy
2021	B	`conf`	A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty. MDAI Cristina E. Manfredotti, Paolo Viappiani
2021	—	`conf`	A Process Reverse Engineering Approach Using Process and Observation Ontology and Probabilistic Relational Models: Application to Processing of Bio-composites for Food Packaging. MTSR Mélanie Münch, Patrice Buche, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy
2019	—	`conf`	Interactive Causal Discovery in Knowledge Graphs. PROFILES/SEMEX@ISWC Melanie Munch, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin, Cristina E. Manfredotti
2019	Misc	`conf`	Towards Interactive Causal Relation Discovery Driven by an Ontology. FLAIRS Melanie Munch, Juliette Dibie, Pierre-Henri Wuillemin, Cristina E. Manfredotti
2018	—	`conf`	Exploring Eating Behaviours Modelling for User Clustering. HealthRecSys@RecSys Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere
2018	B	`conf`	Identifying Control Parameters in Cheese Fabrication Process Using Precedence Constraints. DS Melanie Munch, Pierre-Henri Wuillemin, Juliette Dibie, Cristina E. Manfredotti, Thomas Allard, Solange Buchin, Elisabeth Guichard
2017	—	`conf`	Investigating Substitutability of Food Items in Consumption Data. HealthRecSys@RecSys Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere
2017	—	`conf`	Learning Probabilistic Relational Models Using an Ontology of Transformation Processes. OTM Conferences (2) Melanie Munch, Pierre-Henri Wuillemin, Cristina E. Manfredotti, Juliette Dibie, Stéphane Dervaux
2016	C	`conf`	Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid. ICPRAM Mathieu Bouyrie, Cristina E. Manfredotti, Nadine Peyriéras, Antoine Cornuéjols
2015	Misc	`conf`	A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection. FLAIRS Christophe Gonzales, Séverine Dubuisson, Cristina E. Manfredotti
2015	C	`conf`	Mapping Ontology with Probabilistic Relational Models. KEOD Cristina E. Manfredotti, Cédric Baudrit, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin
2014	J	`jnl`	A Particle Filtering Approach for Tracking an Unknown Number of Objects with Dynamic Relations. J. Math. Model. Algorithms Oper. Res. Luca Cattelani, Cristina E. Manfredotti, Enza Messina
2013	B	`conf`	Learning Models of Activities Involving Interacting Objects. IDA Cristina E. Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles
2012	—	`conf`	Multiple Object Tracking with Relations. ICPRAM (1) Luca Cattelani, Cristina E. Manfredotti, Enza Messina
2011	B	`conf`	Simultaneous Tracking and Activity Recognition. ICTAI Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles
2010	J	`jnl`	Combining Gene Expression Profiles and Drug Activity Patterns Analysis: A Relational Clustering Approach. J. Math. Model. Algorithms Elisabetta Fersini, Enza Messina, Francesco Archetti, Cristina E. Manfredotti
2009	—	`conf`	Modeling and Inference with Relational Dynamic Bayesian Networks. Canadian AI Cristina E. Manfredotti
2009	B	`conf`	Relational Dynamic Bayesian Networks to Improve Multi-target Tracking. ACIVS Cristina E. Manfredotti, Enza Messina
2009	—	`conf`	Relations to improve multi-target tracking in an activity recognition system. ICDP Cristina E. Manfredotti, David J. Fleet, Enza Messina
2006	B	`conf`	Foreground-to-Ghost Discrimination in Single-Difference Pre-processing. ACIVS Francesco Archetti, Cristina E. Manfredotti, Vincenzina Messina, Domenico G. Sorrenti