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    38

    Publications by Ms Anne Johannet


    Journal articles20 documents

    • Bruno Bonté, Stefano Farolfi, Nils Ferrand, Géraldine Abrami, Mamadou Ciss Diallo, et al.. Building new kinds of meta-models to analyse experimentally (companion) modelling processes in the field of natural resource management. Environmental Modelling and Software, Elsevier, 2019, 120, pp.104486. ⟨10.1016/j.envsoft.2019.07.011⟩. ⟨hal-02277141⟩
    • Pierre Marmonier, Marie-José Dole-Olivier, Michel Creuzé Des Châtelliers, Herve Chapuis, Jordan Ré-Bahuaud, et al.. Contribution of the surface water - groundwater interfaces to river biodiversity: example of a Mediterranean river, the Cèze River. Physio-Géo - Géographie Physique et Environnement, AERES, 2019, 13, pp.75-90. ⟨10.4000/physio-geo.7718⟩. ⟨hal-02329304⟩
    • H. Jourde, N. Massei, Naomi Mazzilli, Stéphane Binet, C. Batiot-Guilhe, et al.. SNO KARST: A French Network of Observatories for the Multidisciplinary Study of Critical Zone Processes in Karst Watersheds and Aquifers. Vadose Zone Journal, Soil science society of America - Geological society of America., 2018, 17 (1), ⟨10.2136/vzj2018.04.0094⟩. ⟨hal-01966716⟩
    • T. Darras, A. Johannet, B. Vayssade, L. Kong-A-Siou, S. Pistre. Ensemble model to enhance robustness of flash flood forecasting using an Artificial Neural Network: case-study on the Gardon Basin (south-eastern France). Boletin Geologico y Minero, 2018, 129 (3), pp.565-578. ⟨10.21701/bolgeomin.129.3.007⟩. ⟨hal-02087043⟩
    • Anne Johannet, Line Kong-A-Siou, Virgile Taver, Thomas Darras, Valérie Borrell, et al.. La modélisation par réseaux de neurones : une nouvelle vision de la recharge de l'aquifère du Lez (Hérault, France). Géologues : revue de l'Union française des géologues, Société géologique de France, 2017, La cartographie et la modélisation, pp.59-67. ⟨hal-02093596⟩
    • Pierre Lauret, Frederic Heymes, Laurent Aprin, Anne Johannet. Atmospheric dispersion modeling using Artificial Neural Network based cellular automata. Environmental Modelling and Software, Elsevier, 2016, 85, pp.56-69. ⟨hal-01962455⟩
    • Line Kong-A-Siou, Anne Johannet, Valérie Borrell Estupina, Séverin Pistre. Neural networks for karst groundwater management: case of the Lez spring (Southern France). Environmental Earth Sciences, Springer, 2015, 74 (12), pp.7617--7632. ⟨10.1007/s12665-015-4708-9⟩. ⟨hal-02053378⟩
    • V. Taver, A. Johannet, V. Borrell-Estupina, S. Pistre. Feed-forward vs recurrent neural network models for non-stationarity modelling using data assimilation and adaptivity. Hydrological Sciences Journal, Taylor & Francis, 2015, 60 (7-8), pp.1242--1265. ⟨10.1080/02626667.2014.967696⟩. ⟨hal-02051939⟩
    • Pierre Lauret, Frederic Heymes, Laurent Aprin, Anne Johannet, Pierre Slangen. 2D Modeling of Turbulent Flow around a Cylindrical Storage Tank by Artificial Neural Networks. Chemical Engineering Transactions, AIDIC, 2015. ⟨hal-01962628⟩
    • T. Darras, V. Borrell Estupina, L. Kong-A-Siou, B. Vayssade, A. Johannet, et al.. Identification of spatial and temporal contributions of rainfalls to flash floods using neural network modelling: case study on the Lez basin (southern France). Hydrology and Earth System Sciences, European Geosciences Union, 2015, 19 (10), pp.4397--4410. ⟨10.5194/hess-19-4397-2015, 2015.⟩. ⟨hal-02052174⟩
    • T. Darras, F. Raynaud, V. Borrell Estupina, L. Kong-A-Siou, S. Van-Exter, et al.. Neural network modeling and geochemical wateranalyses to understand and forecast karst and non-karstpart of flash floods (case study on theLezriver,Southern France). Proceedings of the International Association of Hydrological Sciences, Copernicus Publications, 2015, 369, pp.43-48. ⟨10.5194/piahs-369-43-2015⟩. ⟨hal-02140378⟩
    • Pierre Lauret, Frederic Heymes, Laurent Aprin, Anne Johannet, Gilles Dusserre, et al.. Atmospheric Turbulent Dispersion Modeling Methods using Machine learning Tools. Chemical Engineering Transactions, AIDIC, 2014. ⟨hal-01962597⟩
    • Line Kong-A-Siou, Perrine Fleury, Anne Johannet, Valérie Borrell Estupina, Séverin Pistre, et al.. Performance and complementarity of two systemic models (reservoir and neural networks) used to simulate spring discharge and piezometry for a karst aquifer. Journal of Environmental Hydrology, International Association for Environmental Hydrology, 2014, 519, pp.3178-3192. ⟨10.1016/j.jhydrol.2014.10.041⟩. ⟨hal-01176401⟩
    • A. Johannet, Virgile Taver, Line Kong a Siou, Valérie Borrell Estupina, S. Pistre, et al.. Les réseaux de neurones artificiels pour la modélisation des aquifères karstiques.. KARSTOLOGIA, Fédération Française de Spéléologie et Association Française de Karstologie, 2014, 60, pp.45--59. ⟨hal-02047988⟩
    • Line Kong a Siou, Perrine Fleury, A. Johannet, Valérie Borrell, S. Pistre, et al.. Performance and complementarity of two systemic models to simulate karst spring discharge and piezometry (Reservoir and Neural Network) for karst aquifer.. Journal of Hydrology, Elsevier, 2014, pp.3178--3192. ⟨10.1016/j.jhydrol.2014.10.041⟩. ⟨hal-02047991⟩
    • Line Kong-A-Siou, Kévin Cros, Anne Johannet, Valérie Borrell-Estupina, Séverin Pistre. KnoX method, or Knowledge eXtraction from neural network model. Case study on the Lez karst aquifer (southern France). Journal of Hydrology, Elsevier, 2013, 507, pp.19-32. ⟨10.1016/j.jhydrol.2013.10.011⟩. ⟨hal-02410268⟩
    • Line Kong a Siou, Anne Johannet, Borrell Estupina Valérie, Séverin Pistre. Optimization of the generalization capability for rainfall–runoff modeling by neural networks: the case of the Lez aquifer (southern France). Environmental Earth Sciences, Springer, 2012, 65 (8), pp.2365-2375. ⟨10.1007/s12665-011-1450-9⟩. ⟨hal-02410326⟩
    • G Artigue, A. Johannet, V Borrell, S. Pistre. Flash flood forecasting in poorly gauged basins using neural networks: case study of the Gardon de Mialet basin (southern France). Natural Hazards and Earth System Sciences, European Geosciences Union, 2012, 12, pp.3307 - 3324. ⟨10.5194/nhess-12-3307-2012⟩. ⟨hal-02365588⟩
    • Line Kong a Siou, Anne Johannet, Valérie Borrell, Séverin Pistre. Complexity selection of a neural network model for karst flood forecasting: The case of the Lez Basin (southern France). Journal of Hydrology, Elsevier, 2011, 403 (3-4), pp.367-380. ⟨10.1016/j.jhydrol.2011.04.015⟩. ⟨hal-00656598⟩
    • Anne Johannet, L. Personnaz, G. Dreyfus, Jean-Dominique Gascuel, M. Weinfeld. Specification and Implementation of Digital Hopfield-Type Associative Memory with On-Chip Training. IEEE Transactions on Neural Networks, Institute of Electrical and Electronics Engineers, 1992, 3 (4), pp.529-539. ⟨10.1109/72.143369⟩. ⟨hal-00700043⟩

    Conference papers14 documents

    • Nicolas Akil, Guillaume Artigue, Michael Savary, Anne Johannet, Marc Vinches. Quantification of Neural Network Uncertainties on the Hydrogeological Predictions by Probability Density Functions. WMESS 2019 - 5th World Multidisciplinary Earth Sciences Symposium, Sep 2019, Prague, Czech Republic. ⟨10.1088/1755-1315/362/1/012112⟩. ⟨hal-02366200⟩
    • Valérie Borrell Estupina, Marc Bouvy, Patrice Garin, Thierry Derieux, Gilles Belaud, et al.. The Graduate School WATERS - WATer, Ecosystems, Resources in Societies – in Montpellier. IAHS Scientific Assembly 2017, Jul 2017, Port Elizabeth, South Africa. ⟨hal-02107186⟩
    • Adrien Coutouis, Anne Johannet, Séverin Pistre, Pierre-Alain Ayral, Laurent Cadilhac. Design of a recurrent rainfall-water level model for water management. Application to the karst Plateau of Méjannes-le-Clap (South-eastern France).. 43rd IAH International Congress “Groundwater and society : 60 years of IAH”, Sep 2016, Montpellier, France. ⟨hal-02125669⟩
    • Thomas Darras, Line Kong a Siou, Bernard Vayssade, Anne Johannet, Séverin Pistre. Karst flash flood forecasting using recurrent and non-recurrent artificial neural network models: the case of the Lez Basin (southern France). EuroKarst 2016, Sep 2016, Neuchatel, Switzerland. ⟨hal-02127746⟩
    • Adrien Coutouis, A. Johannet, Séverin Pistre, P.A. Ayral, Laurent Cadilhac. Towards a neural networks-based prediction tool devoted to low water-levels forecasting. Case study on the Méjannes-le-Clap karst aquifer (France). 8th International Congress on Environmental Modelling and Software (iEMSs), Jul 2016, Toulouse, France. ⟨hal-02127821⟩
    • T. Darras, A. Johannet, B. Vayssade, L. Kong-A-Siou, S. Pistre. Ensemble model to enhance robustness of flash flood forecasting using an Artificial Neural Network: case-study on the Gardon Basin (south-eastern France). ITISE 2016 (International work-conference on Time Series), Jun 2016, Grenade, Spain. ⟨hal-02128571⟩
    • Olivier Payrastre, Laurent Lebouc, Pierre Alain Ayral, Pascal Brunet, Guy Delrieu, et al.. The October 2015 flash floods in south-eastern France: discharge estimations and comparison with other flash-floods documented in the Hymex project. EGU2016, European Geosciences Union, Apr 2016, VIENNE, Austria. 1p. ⟨hal-01768365⟩
    • Anne Johannet, Virgile Taver, Marc Vinches, Valérie Borrell Estupina, Séverin Pistre, et al.. Comparison between inverse modelling and data assimilation to estimate rainfall from runoff using the multilayer perceptron. 2015 International Joint Conference on Neural Networks (IJCNN), Jul 2015, Killarney, France. pp.1-8, ⟨10.1109/IJCNN.2015.7280427⟩. ⟨hal-02140338⟩
    • Thomas Darras, Anne Johannet, Bernard Vayssade, Line Kong a Siou, Séverin Pistre. Influence of the Initialization ofMultilayer Perceptron for Flash FloodForecasting: Design of a Robust Model. International Work-Conference on Time Series Analysis, Jun 2014, Grenade, Spain. ⟨hal-02088935⟩
    • Didier Graillot, N. Flipo, A. Johannet. Ressources en eau à l’échelle des bassins versants. NULL, 2014, Paris, France. ⟨hal-01787396⟩
    • V. Taver, Anne Johannet, Séverin Pistre, Valérie Borrell Estupina, Marc Vinches. Modélisation hydrodynamique d’un hydrosystème karstique par réseaux de neurones : contraindre le modèle pour améliorer ses performances.. Colloque E3D 2014, Jun 2014, Alès, France. ⟨hal-02094380⟩
    • Line Kong a Siou, Valérie Borrell, Anne Johannet, Séverin Pistre. Neural networks for karst spring management. Case of the Lez spring (Southern France). 5ème International Symposium on Karst, Oct 2014, Malaga, Spain. ⟨hal-02091048⟩
    • T. Darras, Anne Johannet, B. Vayssade, Line Kong a Siou, Séverin Pistre. Intégration de l’estimation de l’humidité du bassin dans la prévision des crues éclair par apprentissage statistique. Colloque E3D, Jun 2014, Alès, France. ⟨hal-02089960⟩
    • Jean-Paul Veuillez, Claude Ghilardi, Anne Johannet, Max Nemoz-Gaillard, Gérard Saussac. CYBema / retour sur la mise en place d'un extranet pédagogique. Technologies de l'Information et de la Connaissance dans l'Enseignement Supérieur et l'Industrie, Oct 2004, Compiègne, France. pp.476-481. ⟨edutice-00000742⟩

    Book sections3 documents

    • L. Kong-A-Siou, V. Borrell-Estupina, A. Johannet, Séverin Pistre. Neural Networks for Karst Spring Management. Case of the Lez Spring (Southern France). Hydrogeological and Environmental Investigations in Karst Systems, Springer Berlin Heidelberg, pp.361-369, 2015, ⟨10.1007/978-3-642-17435-3_41⟩. ⟨hal-02410300⟩
    • Hervé Jourde, Christelle Batiot-Guilhe, Vincent Bailly-Comte, Cristina Bicalho, Mathieu Blanc, et al.. The MEDYCYSS observatory, a Multi scalE observatory of flooD dYnamiCs and hYdrodynamicS in karSt (Mediterranean border Southern France). Nicolaos Lambrakis, George Stournaras, Konstantina Katsanou. Advances in the Research of Aquatic Environment, 1, Springer, pp.551-560, 2011, Environmental Earth Sciences, 978-3-642-19902-8. ⟨10.1007/978-3-642-19902-8_65⟩. ⟨hal-01844069⟩
    • L. Kong a Siou, A. Johannet, Séverin Pistre, V. Borrell. Flash Floods Forecasting in a Karstic Basin Using Neural Networks: the Case of the Lez Basin (South of France). Advances in research in karst media, pp.215-221, 2010, ⟨10.1007/978-3-642-12486-0_33⟩. ⟨hal-02410504⟩

    Habilitation à diriger des recherches1 document

    • Anne Johannet, Anne Johannet. Modélisation par apprentissage statistique des systèmes naturels, ou en interaction avec un environnement naturel. Applications aux karsts, crues éclair et en robotique. Réseau de neurones [cs.NE]. Université Pierre et Marie Curie - Paris VI, 2011. ⟨tel-00745131⟩