Publications scientifiques
- Modélisation et résolution d’un VRP-PDMTW avec dépôts stochastiques et demandes hétérogènes.
G.Ye, S.Bonnevay.
Conference : 25ème conférence de la Société Française de Recherche Opérationnelle et d'Aide à la Décision ROADEF 2024, Amiens (France), March, 2024. - Topic modeling neuronal non-paramétrique pour l'extraction d'insight client : une application à l'industrie du pneumatique.
M.Palencia-Olivar, S.Bonnevay, A.Aussem, B.Canitia.
Conference : Conférence francophone sur l'Extraction et la Gestion des Connaissances, Lyon (France), January, 2023. - Nonparametric neural topic modeling for customer insight extraction about the tire industry.
M.Palencia-Olivar, S.Bonnevay, A.Aussem, B.Canitia.
Conference : International Joint Conference on Neural Networks, pages 01-09, Padua (Italy), July, 2022.
DOI 10.1109/IJCNN55064.2022.9892577 - Processus de Dirichlet profonds pour le topic modeling.
M.Palencia-Olivar, S.Bonnevay, A.Aussem, B.Canitia.
Conference : Conférence francophone sur l'Extraction et la Gestion des Connaissances, vol. RNTI-E-38, pages 355-362, Blois (France), January, 2022. - Neural embedded Dirichlet Processes for topic modeling.
M.Palencia-Olivar, S.Bonnevay, A.Aussem, B.Canitia.
Conference : 18th International Conference on Modeling Decisions for Artificial Intelligence, LNCS vol 12898 Springer, pages 299-310, Umea (Sweden), September, 2021.
DOI 10.1007/978-3-030-85529-1_24 - Economie de la santé.
- Fractional LWE: a nonlinear variant of LWE.
G.Gavin, S.Bonnevay.
Conference : 18th International Conference on Cryptology and Network Security, Fuzhou (China), October, 2019.
DOI 10.1007/978-3-030-31578-8_20 - Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application.
S.Bonnevay, J.Cugliari, V.Granger.
Conference : 14th International Conference on Soft Computing Models in Industrial and Environmental Applications, vol 950 Springer, pages 132-141, Seville (Spain), May, 2019.
DOI 10.1007/978-3-030-20055-8_13 - Cost-effectiveness of public health interventions against human influenza pandemics in France: a methodological contribution from the FLURESP European Commission project.
A.Beresniak, C.Rizzo, J.Oxford, P.Gorynski, A.Pistol, M.Fabiani, C.Napoli, M.Barral, L.Niddam, A.Bounekkar, S.Bonnevay, C.Lionis, C.Gauci, D.Bremond.
Journal : The European Journal of Public Health, Oxford University Press, vol 30(1), pages 43-49, May, 2019.
DOI 10.1093/eurpub/ckz074 - Securely aggregating testimonies with Threshold Multi-key FHE.
G.Gavin, S.Bonnevay.
Conference : 3rd International Conference on Codes, Cryptology and Information Security, LNCS vol 11445, pages 325-348, Rabat (Morocco), April, 2019,
DOI 10.1007/978-3-030-16458-4_19 - Dynamic Bayesian Networks with Gaussian Mixture Models for Short-Term Passenger Flow Forecasting.
J.Roos, S.Bonnevay, G.Gavin.
Conference : 12th International Conference on Intelligent Systems and Knowledge Engineering, Nanjing - Jiangsu (China), November, 2017,
DOI 10.1109/ISKE.2017.8258756 - Predictive Maintenance of Smartmeter's Concentrators.
J.Cugliari, S.Bonnevay, P.Achaicha.
Workshop : European Network for Business and Industrial Statistics, Naples (Italy), september, 2017. - A dynamic bayesian network approach to forecast short-term urban rail passenger flows with incomplete data.
J.Roos, G.Gavin, S.Bonnevay.
Journal : Transportation Research Procedia, Elsevier, vol 26, pages 53-61, 2017.
DOI 10.1016/j.trpro.2017.07.008 - Evolutionary clustering for categorical data using parametric links among multinomial mixture models.
M.A.Hasnat, J.Velcin, S.Bonnevay, J.Jacques.
Journal : Journal of Econometrics and Statistics, Elsevier, vol 3, pages 141-159, 2017.
DOI 10.1016/J.ECOSTA.2017.03.004 - Combining imperfect knowledge of maybe corrupted sources.
G.Gavin, S.Bonnevay.
Conference : Asia Security & Privacy, Surat (India), January, 2017.
DOI 10.1109/ISEASP.2017.7976997 - Prévision à court terme des flux de voyageurs du réseau ferré urbain : une approche par les réseaux bayésiens dynamiques.
J.Roos, S.Bonnevay, G.Gavin.
Conference : EGC (Conference on the Extraction and Management of Knowledge), Grenoble (France), January, 2017. - Short-term urban rail passenger flow forecasting: a dynamic bayesian network approach.
J.Roos, S.Bonnevay, G.Gavin.
Conference : 15th International Conference on Machine Learning and Applications, Anaheim (California, USA), pages 1034–1039, December, 2016.
DOI 10.1109/ICMLA.2016.0187 - A dynamic bayesian network approach to forecast short-term urban rail passenger flows with incomplete data.
J.Roos, G.Gavin, S.Bonnevay.
Conference : 44th European Transport Conference, Barcelona (Spain), October, 2016. - ClusPath: A Temporal-driven Clustering to Infer Typical Evolution Paths.
M.-A. Rizoiu, J.Velcin, S.Bonnevay, S.Lallich.
Journal : Data Mining and Knowledge Discovery, ECML PKDD 2016 Journal Track Special Issue, Springer, vol 30(5), pages 1324–1349, 2016.
DOI 10.1007/s10618-015-0445-7 - Comparison of two metaheuristics to solve a 2-D cutting stock problem with setup cost in the paper industry.
S.Bonnevay, P.Aubertin, G.Gavin.
Journal : International Journal of Metaheuristics, Inderscience, vol 5(1), pages 31-50, 2016.
DOI 10.1504/IJMHEUR.2016.079107 - Artificial Evolution.
- Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study.
A.Hasnat, J.Velcin, S.Bonnevay, J.Jacques.
Conference : 14th International Symposium on Intelligent Data Analysis, Springer LNCS 9385, Saint-Etienne (France), October, pages 120-131, 2015. - A Genetic Algorithm to Solve a Real 2-D Cutting Stock Problem with Setup Cost in the Paper Industry.
S.Bonnevay, P.Aubertin, G.Gavin.
Conference : Genetic and Evolutionary Computation Conference, Madrid (Spain), pages 807-814, July, 2015. - A Simulated Annealing algorithm for real-world 2-D Cutting Stock Problem with Setup Cost.
S.Bonnevay, P.Aubertin, T.Lazert.
Conference : 11th Metaheuristics International Conference, Agadir (Morocco), June, 2015. - Classification Model for Performance Diagnosis of Dry Port by Rail.
R.Makkhongkaew, S.Bonnevay, A.Aussem, K.Benabdeslem.
Journal : Journal of Society for Transportation & Traffic Studies, vol 6, pages 31-40, 2015. - Temporal Multinomial Mixture for Instance-oriented Evolutionary Clustering.
Y.-M.Kim, J.Velcin, S.Bonnevay, M.-A. Rizoiu.
Conference : 37th European Conference on Information Retrieval, Vienna (Austria), pages 593-604, March, 2015. - Assessment of human influenza pandemic scenarios in Europe.
C.Napoli, M.Fabiani, C.Rizzo, M.Barral, J.Oxford, J.M.Cohen, L.Niddam, P.Gorynski, A.Pistol, C.Lionis, S.Briand, A.Nicoll, P.Penttinen, C.Gauci, A.Bounekkar, S.Bonnevay, A.Beresniak.
Journal : Eurosurveillance, vol 20(7), February, 2015.
DOI 10.2807/1560-7917.ES2015.20.7.21038 - Data Science and Decision Support at ERIC.
F.Bentayeb, J.Velcin, S.Bonnevay, J.Darmont.
Journal : SIGMOD Record, vol. 43(4), pages 37-42, 2014. - Investigating the Image of Entities in Social Media: Dataset Design and First Results.
J.Velcin, Y.-M.Kim, C.Brun, J.-Y.Dormagen, E.Sanjuan, L.Khouas, A.Peradotto, S.Bonnevay, C.Roux, J.Boyadjian, A.Molina, M.Neihouser.
Conference : 9th International Conference on Language Resources and Evaluation, Reykjavik (Iceland), pages 818-822, May, 2014. - Interest of multi-criteria analyses for assessing performance of public health interventions.
A.Bounekkar, S.Bonnevay.
Workshop : FLURESP European Project, Luxembourg, March, 2014. - The FLURESP online Prioritization tool.
S.Bonnevay, A.Bounekkar.
Workshop : FLURESP European Project, Luxembourg, March, 2014. - A Hybrid Evolutionary Approach with Search Strategy Adaptation for Mutiobjective Optimization.
A.Kafafy, S.Bonnevay, A.Bounekkar.
Conference : Genetic and Evolutionary Computation Conference, Amsterdam (Netherlands), pages 631-638, July, 2013. - HEMH2: An Improved Hybrid Evolutionary Metaheuristics for 0/1 Multiobjective Knapsack Problems.
A.Kafafy, A.Bounekkar, S.Bonnevay.
Conference : 9th International Conference on Simulated Evolution And Learning, Springer LNCS 7673, Hanoï (Vietnam), December, pages 104-116, 2012.
- Hybrid Metaheuristics based on MOEA/D for 0/1 Multiobjective Knapsack Problems : A comparative Study.
A.Kafafy, A.Bounekkar, S.Bonnevay.
Conference : IEEE Congress on Evolutionary Computation, Brisbane (Australia), June, pages 3616-3623, 2012. - Basics of Pretopology.
- Prediction of persistence of combined evidence-based cardiovascular medications in patients with acute coronary syndrome after hospital discharge using neural networks.
V.Bourdès, J.Ferrières, J.Amar, E.Amelineau, S.Bonnevay, M.Berlion, N.Danchin.
Journal : Medical & Biological Engineering & Computing, Springer, vol. 49, pages 947-955, 2011. - A Hybrid Evolutionary Metaheuristics (HEMH) Applied On 0/1 Multi-objective Knapsack Problems.
A.Kafafy, A.Bounekkar, S.Bonnevay.
Conference : Genetic and Evolutionary Computation Conference, Dublin (Irlande), July, pages 497-504, 2011. - Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes.
V.Bourdès, S.Bonnevay, P.Lisboa, et al.
Journal : Advances in Artificial Neural Systems, vol. 2010, Article ID 309841, 11 pages, 2010. - Extraction de frontière de Markov dans les données de grande dimension.
Workshop : G.Thibault, A.Aussem, S.Bonnevay.
5èmes Journées francophones des réseaux bayésiens, Nantes (France), Mai, 2010. - Pretopological operators for gray-level image analysis.
S.Bonnevay.
Journal : Studia Informatica Universalis, Hermann Editions, vol 7(1), pages 173-195, 2009. - Prétopologie et applications : un état de l'art.
J-P.Auray, S.Bonnevay, M.Bui, G.Duru, M.Lamure.
Journal : Studia Informatica Universalis, Hermann Editions, vol 7(1), pages 27-44, 2009. - A Stochastic and Pretopological Modeling Aerial Pollution of an Urban Area,
S.Ben-Amor, S.Bonnevay, M.Bui, M.Lamure.
Journal : Studia Informatica Universalis, Hermann Editions, vol 7(3), pages 410-426, 2009. - Incremental Bayesian Network Learning for Scalable Feature Selection.
G.Thibault, A.Aussem, S.Bonnevay.
Conference : 8th International Symposium on Intelligent Data Analysis, Lyon (France), vol 5772, September, pages 202-212, 2009. - Modélisation et simulation pour l'aide à la décision en environnement complexe.
- Evaluation médico-économique des stratégies de santé.
F.Maunoury, A.Bounekkar, S.Bonnevay, J-P.Auray.
Journal : Santé Décision Management, Editions Hermès - Lavoisier, vol.11, N.3-4, pages 169-181, 2008. - Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer.
P.J.G.Lisboa, T.A.Etchells, I.H.Jarman, M.S.H.Aung, S.Chabaud, T.Bachelot, D.Perol, T.Gargi, V.Bourdès, S.Bonnevay, S.Négrier.
Journal : Neural Networks, vol 21, pages 414-426, 2008. - Un modèle prétopologique stochastique pour la simulation de la pollution aérienne.
S.BenAmor, S.Bonnevay, M.Bui, M.Lamure.
Conference : 9th International Conference on System Science in Health Care, Lyon (France), September 2008. - Use of Neural Networks in Cancer Prediction: exploratory results from a French breast cancer cohort.
V.Bourdès, S.Bonnevay, P.J.Lisboa, M.H.Aung, S.Chabaud, T.Bachelot, D.Perol, S.Négrier.
Conference : 9th International Conference on System Science in Health Care, Lyon (France), September 2008. - Le processus de décision markovien : Adaptation des routines.
F.Maunoury, A.Bounekkar, S.Bonnevay, J-P.Auray.
Conference : 9th International Conference on System Science in Health Care, Lyon (France), September 2008. - European Pricing Pilot Model - A decision support tool for optimisation of pricing and reimbursement of medicines in Europe.
A.Kornfeld, S.Bonnevay, M.Lamure, M.Toumi.
Conference : 9th International Conference on System Science in Health Care, Lyon (France), September 2008. - A stochastic and pretopological modeling aerial pollution of an urban area.
M.Lamure, S.Bonnevay, M.Bui, S.Ben-Amor.
Conference : IEEE International Conference on Innvative Internet Community Systems, Schoelcher (Martinique), pages 116-121, June 2008. - Analyse critique des algorithmes EDA dans le cadre de l'apprentissage de structure de réseaux Bayésiens.
G.Thibault, A.Aussem, S.Bonnevay.
Workshop : 4èmes Journées francophones des réseaux bayésiens, Lyon (France), Mai, 2008. - Breast cancer predictions bu neural networks analysis: a comparison with logistic regression.
V.Bourdès, S.Bonnevay, P.Lisboa, R.Defrance, S.Chabaud, T.Bachelot, D.Perol, S.Negrier.
Workshop : 3èmes Journées scientifiques du CLARA, Lyon (France), mars, 2008. - Méthodes d'évaluation en économie de la santé.
G.Duru, S.Bonnevay, M.Lamure.
Workshop : Journées d'économie de la Santé et Psychiatrie, Tunis (Tunisie), Janvier, 2008. - Réseaux Bayésiens.
- Bayesian Network Structure Learning With Estimation of Distribution Algorithms.
G.Thibault, S.Bonnevay, A.Aussem.
Conference : IEEE International Conference on Digital Information Management, Lyon (France), pages 127-132, October, 2007. - Development of a Rule Based Prognostic Tool for HER 2 Positive Breast Cancer Patients.
M.H.Aung, P.J.Lisboa, T.A.Etchells, I.H.Jarman, V.Bourdès, S.Bonnevay, S.Chabaud, T.Bachelot, D.Perol, S.Négrier.
Conference : IEEE Engineering in Medicine and Biology Society, Lyon (France), pages 5416-5419, August, 2007. - Breast Cancer Predictions by Neural Networks Analysis: a Comparison with Logistic Regression
V.Bourdès, S.Bonnevay, P.J.Lisboa, M.H.Aung, S.Chabaud, T.Bachelot, D.Perol, S.Négrier.
Conference : IEEE Engineering in Medicine and Biology Society, Lyon (France), pages 5424-5427, August, 2007. - Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer.
P.J.Lisboa, T.A.Etchells, I.H.Jarman, M.H.Aung, S.Chabaud, T.Bachelot, D.Perol, V.Bourdès, S.Bonnevay, S.Négrier.
Conference : International Joint Conference on Neural Networks, Orlando (USA), pages 2533-2538, August, 2007. - Eléments de Prétopologies floues.
M.Egea, S.Bonnevay.
Workshop : Journées d'études Prétopologie et Modélisation, Dinard (France), Mai, 2007. - Negotiation platform based on game theory.
S.Bonnevay, J.Champavere, M.Lamure.
Conference : IEEE International Conference on Research, Innovation and Vision for the future, Hanoi (Vietnam), pages 228-233, ISBN 1-4244-0694-3, March, 2007. - Recherche de structure d'un réseau Bayésien par métaheuristiques.
G.Thibault, S.Bonnevay.
Conference : META, Hammamet (Tunisie), November, 2006. - Agents-Based Simulation of Coalition Formation in Cooperative Games.
S.Bonnevay, N.Kabachi, M.Lamure.
Conference : IEEE/WIC/ACM Joint International Conference on Intelligent Agent Technology, Compiegne (France), September, 2005. - Agents in Cooperative Games.
N.Kabachi, S.Bonnevay, M.Lamure.
Conference : International Conference on Information Technologies and Management, Riga (Latvia), April, 2005. - Modélisation d'un débat à l'aide de l'intégrale de Sipos.
A.Rico, S.Bonnevay, M.Lamure, D.Tounissoux.
Conference : Logique Floue et ses Applications, Paris (France), pages 331-338, November, 2004. - Développement d'outils de simulation pour la négociation.
S.Bonnevay.
Workshop : Journées du GDR MACS, Aix-en-Provence (France), Octobre, 2004. - Outil de simulation pour l'évaluation de la disposition à s'assurer en santé.
S.Bonnevay, G.Duru, J-P.Auray, M.Nebbache.
Conference : 8th International Conference on System Science in Health Care, Geneva (Suisse), September, 2004. - Un réseau de soins pour la prise en charge de personnes alcoolo dépendantes.
M.Perceval, S.Bonnevay, A.Bounekkar, N.Kabachi, M.Lamure.
Conference : 8th International Conference on System Science in Health Care, Geneva (Suisse), September, 2004. - Simulation d'un processus délibératif d'agrégation des préférences.
S.Bonnevay, N.Kabachi, M.Lamure, A.Rico, D.Tounissoux.
Workshop : Journée Bernard Roy, Lyon (France), avril, 2004. - Simulation d'un processus délibératif d'agrégation des préférences.
S.Bonnevay, N.Kabachi, M.Lamure, A.Rico, D.Tounissoux.
Workshop : Journées du GDR MACS, Nantes (France), Mars, 2004. - Création d'une base de connaissances anatomo-fonctionnelles : application au cerveau et au coeur.
- Modélisation et outils logiciels pour une connaissance anatomo-fonctionnelle du cerveau.
B.Batrancourt, R.Beato, V.Hahn-Barma, R.Levy, B.Dubois, S.Bonnevay, M.Lamure.
Journal : Santé et systémique, vol.7, N.3-4, Hermès, 2003. - A Simulation Model to Examine the Sustainability of Health Insurance.
J.P.Auray, S.Bonnevay, G.Duru, M.Lamure, D.Dror.
Conference : International Microsimulation Conference on Population Ageing and Health, Camberra (Australia), December, 2003. - Un modèle de micro assurance et de réassurance.
- A MultiAgent System to Aggregate Preferences.
S.Bonnevay, N.Kabachi, M.Lamure, D.Tounissoux.
Conference : IEEE International Conference on Systems, Man and Cybernetics, Washington (USA), pages 545-550, October, 2003. - Solvency as a limiting factor on the outreach and efficiency of community health schemes.
D.Dror, S.Bonnevay, G.Duru, M.Lamure.
Conference : 4th International Health Economics Association Congress, San Francisco (USA), June, 2003. - Policy Insights from Math: Modelling Reinsurance of Community Health Schemes.
M.Lamure, J-P.Auray, S.Bonnevay, D.Dror, G.Duru.
Conference : 4th International Health Economics Association Congress, San Francisco (USA), June, 2003. - Modélisation multi-agents pour les jeux coopératifs.
S.Bonnevay, N.Kabachi, M.Lamure.
Conference : ROADEF, Avignon (France), pages 421-422, February, 2003. - Décision distribuée.
S.Bonnevay, N.Kabachi, M.Lamure.
Workshop : Journées de Projectique, Bayonne (France), 53-57, Janvier, 2003. - De la production de l'information aux études d'évaluation.
- A pretopological approach for structural analysis.
C.Largeron, S.Bonnevay.
Journal : Information Sciences, vol.144, Issues 1-4, pages 169-185, July, 2002.
DOI 10.1016/S0020-0255(02)00189-5 - Using PCA paradigm to mine functional data.
D.Clot, S.Bonnevay, L.Lamure.
Conference : Information Processing and Management of Uncertainty, Annecy (France), Vol.1, pages 139-146, July, 2002. - An Anatomofunctional Brain Knowledge.
B.Batrancourt, S.Bonnevay, M.Lamure, B.Dubois, R.Lévy.
Conference : Fusion, Washington (USA), pages 1269-1276, July, 2002. - A Model of Microinsurance and Reinsurance.
- Méthodes informatiques et biotechnologie.
S.Bonnevay, A.Bounekkar, D.Clot, M.Egea, F.Feschet, M.Lamure.
Journal : Santé et systémique, vol.5, N.1, Hermès, pages 180-231, 2001. - Architecture pour un cours à distance. Application à la simulation discrète.
S.Bonnevay, M.Lamure.
Workshop : Calass, Lyon (France), Septembre, 2001. - Iterative process to aggregate preferences.
S.Bonnevay, M.Lamure, D.Tounissoux,
Conference : Computational Intelligence for Modelling Control and Automation, Las Vegas (USA), pages 567-574, July, 2001. - Des enjeux de la bio-informatique: de l'interprétation des données à la représentation des connaissances.
S.Bonnevay, F.Feschet, M.Lamure.
Conference : AEA, Louxor (Egypte), Avril, 2001. - Construction d'un outil d'évaluation économique d'activité hospitalière.
S.Bonnevay, D.Clot, M.Lamure.
Conference : AEA, Louxor (Egypte), Avril, 2001. - Fusion anatomo-fonctionnelle et neuropsychologique pour l'étude des fonctions cognitives de patients cérébro-lésés.
B.Batrancourt, S.Bonnevay, F.Feschet, M.Lamure, C.Marsault, B.Dubois.
Conference : Model Driven Acquisition, Novembre, 2000. - Data analysis based on minimal closed subsets.
- Data analysis based on minimal closed subsets.
S.Bonnevay, C.Largeron,
Conference : International Federation of Classification Societies, Namur (Belgium), july, 2000. - Proposal for a modelling of brain activation in cognitive functions.
B.Batrancourt, S.Bonnevay, A.Bounekkar, M.Lamure.
Conference : Information Processing and Management of Uncertainty, Madrid (Spain), Vol.2, pages 1016-1020, July, 2000. - Experimental analysis of color representation spaces. An attempt of synthetization.
S.Bonnevay, A.Bounekkar, M.Lamure, N.Nicoloyannis.
Conference : Neural Computation, Berlin (Germany), May, 2000. - Approche des corrélations anatomo-cliniques, par la modélisation mathématique et la constitution d'une banque de connaissances.
B.Batrancourt, B.Dubois, S.Bonnevay, F.Feschet, M.Lamure, M.Jeannerod, M.Thevenet, I.Lavallée, M.Bui.
Conference : Société d'Anatomie Fonctionnelle Cérébrale, May, 2000. - Extraction de caractéristiques de textures par codages d'extrémalités.
S.Bonnevay, N.Nicoloyannis.
Journal : Technique et Science Informatiques, vol.19, N.4, pages 577-598, Avril, 2000. - Aide à la prise de décision et systèmes multi-agents.
S.Bonnevay, A.Bounekkar, M.Lamure, N.Nicoloyannis.
Workshop : Journée GDR-PRC I3, Mai, 1999. - A pretopological approach for structuring data in non-metric spaces.
S.Bonnevay, M.Lamure, C.Largeron, N.Nicoloyannis.
Journal : Electronic Notes in Discrete Mathematics, Melvin F. Janowitz, Vol.2, Elsevier Science Publishers, April, 1999. - Aide à la prise de décision et systèmes multi-agents.
S.Bonnevay, M.Lamure, I.Lavallée, N.Nicoloyannis.
Conference : Intelligence Artificielle et Complexité, Paris (France), Septembre, 1998. - Texture Features Extraction with the help of the Regional Extremality Coding.
S.Bonnevay.
Conference : Recpad, Lisbon (Portugal), March, 1998. - Extraction de caractéristiques de texture par codages des extrema de gris et traitement prétopologique des images.
- Classification de textures pour l'évaluation des performances des attributs radiaux sur le codage d'extrémalité locale.
S.Bonnevay.
Conference : Société Francophone de Classification, Lyon (France), pages 61-66, Septembre, 1997. - Une méthode de structuration par recherche de fermés minimaux - Application à la modélisation de flux de migrations inter-villes.
C.Largeron, S.Bonnevay.
Conference : Société Francophone de Classification, Lyon (France), pages 111-118, Septembre, 1997. - The local extremality coding devoted to texture classification.
S.Bonnevay, M.Lamure, N.Nicoloyannis.
Conference : International Conference on Quality Control by Artificial Vision, LeCreusot (France), Cépaduès Editions, pages 185-189, May, 1997. - Directionnal Measure of Extrema on a grey level image.
S.Bonnevay, M.Lamure, N.Nicoloyannis.
Conference : Information Processing and Management of Uncertainty, Granada (Spain), pages 1507-1511, July, 1996. - Statistical analysis of textures from compressed images.
S.Bonnevay, M.Lamure, N.Nicoloyannis.
Conference : Medical Imaging, Vol.2710, Newport Beach (USA), pages 950-959, February, 1996. - Texture analysis: pretopological approach versus morphology approach.
S.Bonnevay, M.Lamure, N.Nicoloyannis.
Conference : Visual Communications and Image Processing, Taipei (Taiwan), Vol.3, pages 1762-1772, May, 1995.
