Rallou Thomopoulos
Rallou Thomopoulos
Adresse e-mail validée de supagro.inra.fr
Citée par
Citée par
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
Representation of weakly structured imprecise data for fuzzy querying
R Thomopoulos, P Buche, O Haemmerlé
Fuzzy Sets and Systems 140 (1), 111-128, 2003
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
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
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
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
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