Rallou Thomopoulos
Rallou Thomopoulos
Dirección de correo verificada de supagro.inra.fr
Citado por
Citado por
Fuzzy querying of incomplete, imprecise, and heterogeneously structured data in the relational model using ontologies and rules
P Buche, C Dervin, O Haemmerlé, R Thomopoulos
IEEE Transactions on fuzzy systems 13 (3), 373-383, 2005
An artificial intelligence-based approach to deal with argumentation applied to food quality in a public health policy
JR Bourguet, R Thomopoulos, ML Mugnier, J Abécassis
Expert Systems with Applications 40 (11), 4539-4546, 2013
Review on environmental models in the food chain-Current status and future perspectives
I Djekic, N Sanjuán, G Clemente, AR Jambrak, A Djukić-Vuković, ...
Journal of Cleaner Production 176, 1012-1025, 2018
Representation of weakly structured imprecise data for fuzzy querying
R Thomopoulos, P Buche, O Haemmerlé
Fuzzy Sets and Systems 140 (1), 111-128, 2003
Decision support for agri-food chains: A reverse engineering argumentation-based approach
R Thomopoulos, M Croitoru, N Tamani
Ecological Informatics 26, 182-191, 2015
Griwes: Generic model and preliminary specifications for a graph-based knowledge representation toolkit
JF Baget, O Corby, R Dieng-Kuntz, C Faron-Zucker, F Gandon, A Giboin, ...
International Conference on Conceptual Structures, 297-310, 2008
Different kinds of comparisons between fuzzy conceptual graphs
R Thomopoulos, P Buche, O Haemmerlé
International Conference on Conceptual Structures, 54-68, 2003
An iterative approach to build relevant ontology-aware data-driven models
R Thomopoulos, S Destercke, B Charnomordic, I Johnson, J Abécassis
Information Sciences 221, 452-472, 2013
Towards a unified model of preference-based argumentation
JR Bourguet, L Amgoud, R Thomopoulos
International Symposium on Foundations of Information and Knowledge Systems …, 2010
The MIEL system: uniform interrogation of structured and weakly-structured imprecise data
O Haemmerlé, P Buche, R Thomopoulos
Journal of Intelligent Information Systems 29 (3), 279-304, 2007
Fuzzy sets defined on a hierarchical domain
R Thomopoulos, P Buche, O Haemmerlé
IEEE Transactions on knowledge and data engineering 18 (10), 1397-1410, 2006
Making Ontology-Based Knowledge and Decision Trees interact: an approach to enrich knowledge and increase expert confidence in data-driven models
I Johnson, J Abécassis, B Charnomordic, S Destercke, R Thomopoulos
International Conference on Knowledge Science, Engineering and Management …, 2010
Artificial intelligence‐based decision support system to manage quality of durum wheat products
R Thomopoulos, B Charnomordic, B Cuq, J Abecassis
Quality Assurance and Safety of Crops & Foods 1 (3), 179-190, 2009
A structural benchmark for logical argumentation frameworks
B Yun, S Vesic, M Croitoru, P Bisquert, R Thomopoulos
International Symposium on Intelligent Data Analysis, 334-346, 2017
Answering queries that may have results in the future: a case study in food science
R Thomopoulos, JR Bourguet, B Cuq, A Ndiaye
Knowledge-Based Systems 23 (5), 491-495, 2010
Integration of heterogeneous, imprecise and incomplete data: an application to the microbiological risk assessment
P Buche, O Haemmerlé, R Thomopoulos
International Symposium on Methodologies for Intelligent Systems, 98-107, 2003
Introducing preference-based argumentation to inconsistent ontological knowledge bases
M Croitoru, R Thomopoulos, S Vesic
International Conference on Principles and Practice of Multi-Agent Systems …, 2015
Ontology-aware prediction from rules: A reconciliation-based approach
F Saïs, R Thomopoulos
Knowledge-Based Systems 67, 117-130, 2014
Cross-European initial survey on the use of mathematical models in food industry
I Djekic, A Mujčinović, A Nikolić, AR Jambrak, P Papademas, AH Feyissa, ...
Journal of Food Engineering 261, 109-116, 2019
Choice of environment-friendly food packagings through argumentation systems and preferences
B Yun, P Bisquert, P Buche, M Croitoru, V Guillard, R Thomopoulos
Ecological Informatics 48, 24-36, 2018
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