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    63

    Publications by Ms Anne Johannet


    Journal articles30 documents

    • Guillaume Bertrand, Alex Ponçot, Benjamin Pohl, Alexandre Lhosmot, Marc Steinmann, et al.. Statistical hydrology for evaluating peatland water table sensitivity to simple environmental variables and climate changes application to the mid-latitude/altitude Frasne peatland (Jura Mountains, France). Science of the Total Environment, Elsevier, 2021, 754, 141931 (55 p.). ⟨10.1016/j.scitotenv.2020.141931⟩. ⟨insu-02921354⟩
    • Pierre-Yves Jeannin, Guillaume Artigue, Christoph Butscher, Yong Chang, Jean-Baptiste Charlier, et al.. Karst modelling challenge 1: Results of hydrological modelling. Journal of Hydrology, Elsevier, 2021, 600, pp.126508. ⟨10.1016/j.jhydrol.2021.126508⟩. ⟨hal-03265800⟩
    • Nicolas Akil, Guillaume Artigue, Michaël Savary, Anne Johannet, Marc Vinches. Uncertainty Estimation in Hydrogeological Forecasting with Neural Networks: Impact of Spatial Distribution of Rainfalls and Random Initialization of the Model. Water, MDPI, 2021, 13 (12), pp.1690. ⟨10.3390/w13121690⟩. ⟨hal-03264934⟩
    • Michaël Savary, Anne Johannet, Nicolas Massei, Jean-Paul Dupont, Emmanuel Hauchard. Karst-aquifer operational turbidity forecasting by neural networks and the role of complexity in designing the model: a case study of the Yport basin in Normandy (France). Hydrogeology Journal, Springer Verlag, 2021, Special Issue "Five decades of advances in karst hydrogeology", ⟨10.1007/s10040-020-02277-w⟩. ⟨hal-03105289⟩
    • Pierre Marmonier, Michel Creuzé Des Châtelliers, Marie-José Dole-Olivier, Anne Johannet, Jordan Ré-Bahuaud, et al.. Les invertébrés aquatiques indicateurs des relations entre le karst et la rivière Exemple de la Cèze. KARSTOLOGIA, Fédération Française de Spéléologie et Association Française de Karstologie, 2020, pp.51 à 58. ⟨emse-03033529⟩
    • Pierre Marmonier, Michel Creuzé Des Châtelliers, Olivier Radakovitch, Marie-José Dole-Olivier, A. Mayer, et al.. Are surface water characteristics efficient to locate hyporheic biodiversity hotspots ?. Science of the Total Environment, Elsevier, 2020, 738, pp.40-52. ⟨10.1016/j.scitotenv.2020.139930⟩. ⟨hal-02867837⟩
    • 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⟩
    • 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⟩
    • 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⟩
    • Hervé 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⟩
    • 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, 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⟩
    • 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⟩. ⟨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⟩
    • 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, 43, pp.1621-1626. ⟨10.3303/CET1543271⟩. ⟨hal-01962628⟩
    • A. Johannet, Virgile Taver, Line Kong a Siou, Valérie Borrell Estupina, S. Pistre, et al.. Les réseaux de neurones artificiels pour la modélisation hydrodynamique des aquifères karstiques.. KARSTOLOGIA, Fédération Française de Spéléologie et Association Française de Karstologie, 2014, 60, pp.45-59. ⟨10.3406/karst.2012.2728⟩. ⟨hal-02047988⟩
    • Line Kong a Siou, Perrine Fleury, A. Johannet, Valérie Borrell, S. 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 Hydrology, Elsevier, 2014, pp.3178--3192. ⟨10.1016/j.jhydrol.2014.10.041⟩. ⟨hal-02047991⟩
    • 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⟩
    • Remy Vie, Anne Johannet, Nathalie Azema. Settling of mineral aqueous suspensions. Classification and stability prediction by neural networks. Colloids and Surfaces a-Physicochemical and Engineering Aspects, 2014, 459, pp.202-210. ⟨10.1016/j.colsurfa.2014.07.005⟩. ⟨hal-02914345⟩
    • Perrine Fleury, Valérie Borrell Estupina, Line Kong-A-Siou, Anne Johannet, Thomas Darras, et al.. Crues, partie I : Rôle du karst dans les crues du fleuve Lez. KARSTOLOGIA, Fédération Française de Spéléologie et Association Française de Karstologie, 2013, pp.41-48. ⟨hal-03284835⟩
    • 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⟩
    • Perrine Fleury, Valérie Borrell Estupina, Line Kong a Siou, Anne Johannet, Thomas Darras, et al.. Flood part I : Karst contribution to Lez floods. KARSTOLOGIA, Fédération Française de Spéléologie et Association Française de Karstologie, 2013, pp.41-48. ⟨hal-02914567⟩
    • 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⟩
    • Guillaume 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, Copernicus Publ. / 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⟩
    • J. Bongono, N. Azema, A. Johannet, P. Gaudon. Determination of the characteristics of agglomerates in aqueous suspensions using nonlinear optimization. Powder Technology, Elsevier, 2011, 208 (2), pp.271-278. ⟨10.1016/j.powtec.2010.08.016⟩. ⟨hal-02949486⟩
    • Mohamed Toukourou, Anne Johannet, Gérard Dreyfus, Pierre-Alain Ayral. Rainfall-runoff modeling of flash floods in the absence of rainfall forecasts: the case of “Cévenol flash floods”. Applied Intelligence, Springer Verlag (Germany), 2011, 35 (2), pp.178-189. ⟨10.1007/s10489-010-0210-y⟩. ⟨hal-02915460⟩
    • 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 papers24 documents

    • Philippe Audra, Anne Johannet. Monitoring of Mescla karst spring in the French Southern Alps. A rare case of stratified waters out of coastal areas. 28th International Karstological School "Classical karst", Jun 2021, Postojna, Slovenia. ⟨hal-03272374⟩
    • Philippe Audra, Anne Johannet. Monitoring of Mescla karst spring French Southern Alps : a rare case of stratified waters out of coastal areas. 28th International Karstological School "Classical karst", Jun 2021, Postojna, Slovenia. ⟨hal-03285017⟩
    • Anne Johannet, Brice Boudevillain, Philippe Martin, Guy Delrieu, Frédéric Paran. OHM-CV et SA RIVCEV. Convergence dans un espace commun : les trois rivières cévenoles.. Regards croisés sur les rivières cévenoles - Journée d'échanges autour du site atelier des rivières cévenoles, Oct 2020, En ligne, France. ⟨hal-03127164⟩
    • Bob Saint Fleur, Guillaume Artigue, Anne Johannet, Séverin Pistre. Knowledge Extraction (KnoX) in Deep Learning: Application to the Gardon de Mialet Flash Floods Modelling. ITISE 2019 - International Conference on Time Series and Forecasting, Sep 2019, Granada, Spain. ⟨hal-02462501⟩
    • Michele Pio Papasidero, Leonardo Disperati, Marc Vinches, Pierre-Alain Ayral, Anne Johannet. Spatial analysis of hydraulic conductivity for slope deposits at catchment scale in Northern Tuscany, Italy. GIT 2019 - XIV Convegno Nazionale della Sezione ''GIT-Geosciences and Information Technologies'', Jun 2019, Melfi, Italy. ⟨hal-02510944⟩
    • Michele Pio Papasidero, Leonardo Disperati, Marc Vinches, Pierre-Alain Ayral, Anne Johannet. Spatial analysis of hydraulic conductivity for slope deposits at catchment scale in Northern Tuscany, Italy. EGU General Assembly 2019, Apr 2019, Vienne, Austria. ⟨hal-02510937⟩
    • 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⟩
    • Thomas Darras, Anne Johannet, Séverin Pistre. Taking profit of statistical modelling by neural networks: how to deal with vigilance levels prediction for flash flooding. Case study on Lez Basin (South eastern France).. EGU 16th Plinius conference on Mediterranean risks, Oct 2018, Montpellier, France. ⟨hal-03311582⟩
    • Anne Johannet, Thomas Darras, Dominique Bertin Geonosis. Influence of the Complexity Selection Method on Multilayer Perceptron Properties Case Study on Environmental Data. 2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENTAL ENGINEERING (EE), Mar 2018, Milan, Italy. ⟨hal-02914623⟩
    • 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⟩
    • 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⟩
    • 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⟩
    • 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⟩
    • 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⟩
    • Michael Savary, Anne Johannet, Nicolas Massei, Jean-Paul Dupont, Emmanuel Hauchard. Operational Turbidity Forecast Using Both Recurrent and Feed-Forward Based Multilayer Perceptrons. ADVANCES IN TIME SERIES ANALYSIS AND FORECASTING, Jun 2016, Grenade, Spain. pp.243-256, ⟨10.1007/978-3-319-55789-2_17⟩. ⟨hal-02914632⟩
    • Dominique Bertin, Anne Johannet, Nathalie Gaffet, Frédéric Lenne. Neural networks-based operational prototype for flash flood forecasting: application to Liane flash floods (France). FLOODrisk 2016 - 3rd European Conference on Flood Risk Management, Oct 2016, Lyon, France. ⟨10.1051/e3sconf/20160718025⟩. ⟨hal-02930659⟩
    • 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, Ireland. 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⟩
    • 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⟩
    • Didier Graillot, Nicolas Flipo, A. Johannet. Ressources en eau à l’échelle des bassins versants. NULL, 2014, Paris, France. ⟨hal-01787396⟩
    • 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⟩

    Poster communications1 document

    • Guillaume Artigue, Anne Johannet, Valérie Borell-Estupina, Séverin Pistre. Neural network flash flood forecasting : generalizing to ungauged basins. EGU General Assembly 2019, Apr 2019, Vienne, Austria. EGU General Assembly 2019, 2019. ⟨hal-02510794⟩

    Book sections7 documents

    • Shishir Gaur, Anne Johannet, Didier Graillot, Padam Jee Omar. Modeling of Groundwater Level Using Artificial Neural Network Algorithm and WA-SVR Model. Groundwater Resources Development and Planning in the Semi-Arid Region, Springer, pp.129-150, 2021, 978-3-030-68123-4. ⟨10.1007/978-3-030-68124-1_7⟩. ⟨emse-03244604⟩
    • Bob Saint Fleur, Guillaume Artigue, Anne Johannet, Séverin Pistre. Deep Multilayer Perceptron for Knowledge Extraction: Understanding the Gardon de Mialet Flash Floods Modeling. Theory and Applications of Time Series Analysis - Selected Contributions from ITISE 2019, pp.333-348, 2020, 978-3-030-56219-9. ⟨10.1007/978-3-030-56219-9_22⟩. ⟨hal-03080357⟩
    • Michaël Savary, Anne Johannet, Nicolas Massei, Jean Paul Dupont, Emmanuel Hauchard. Limits in Using Multiresolution Analysis to Forecast Turbidity by Neural Networks. Case Study on the Yport Basin, Normandie-France. Eurokarst 2018, Besançon, pp.129-135, 2020, 978-3-030-14015-1. ⟨10.1007/978-3-030-14015-1_15⟩. ⟨hal-03137673⟩
    • 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). Bartolomé Andreo; Francisco Carrasco; Juan José Durán; James W. LaMoreaux. Advances in research in karst media, Springer, pp.215-221, 2010, Environmental Earth Sciences, 978-3-642-12485-3. ⟨10.1007/978-3-642-12486-0_33⟩. ⟨hal-02410504⟩
    • A. Johannet, P.A. Ayral, B. Vayssade. Modelling non Measurable Processes by Neural Networks: Forecasting Underground Flow Case Study of the Céze Basin (Gard - France). Advances and Innovations in Systems, Computing Sciences and Software Engineering, Springer Netherlands, pp.53-58, 2007, 978-1-4020-6264-3. ⟨10.1007/978-1-4020-6264-3_10⟩. ⟨hal-02927928⟩

    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⟩