A probabilistic approach to estimating residential losses from different flood types von Paprotny, Dominik, Kreibich, Heidi, Morales-Nápoles, Oswaldo, Wagenaar, Dennis, Castellarin, Attilio, Carisi, Francesca, Bertin, Xavier, Merz, Bruno, Schröter, Kai

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Structured expert judgement to understand the intrinsic vulnerability of traffic networks von Nogal, Maria, Morales Nápoles, Oswaldo, O’Connor, Alan

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Monitoring Cliff Erosion with LiDAR Surveys and Bayesian Network-based Data Analysis von Terefenko, Paweł, Paprotny, Dominik, Giza, Andrzej, Morales-Nápoles, Oswaldo, Kubicki, Adam, Walczakiewicz, Szymon

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A Two‐Dimension Dynamic Bayesian Network for Large‐Scale Degradation Modeling with an Application to a Bridges Network von Kosgodagan‐Dalla Torre, Alex, Yeung, Thomas G., Morales‐Nápoles, Oswaldo, Castanier, Bruno, Maljaars, Johan, Courage, Wim

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Trends in flood losses in Europe over the past 150 years von Paprotny, Dominik, Sebastian, Antonia, Morales-Nápoles, Oswaldo, Jonkman, Sebastiaan N.

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PyBanshee version (1.0): A Python implementation of the MATLAB toolbox BANSHEE for Non-Parametric Bayesian Networks with updated features von Koot, Paul, Mendoza-Lugo, Miguel Angel, Paprotny, Dominik, Morales-Nápoles, Oswaldo, Ragno, Elisa, Worm, Daniël T.H.

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Decision Making Model for Municipal Wastewater Conventional Secondary Treatment with Bayesian Networks von Medina, Edgardo, Fonseca, Carlos Roberto, Gallego-Alarcón, Iván, Morales-Nápoles, Oswaldo, Gómez-Albores, Miguel Ángel, Esparza-Soto, Mario, Mastachi-Loza, Carlos Alberto, García-Pulido, Daury

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A Copula-Based Bayesian Network for Modeling Compound Flood Hazard from Riverine and Coastal Interactions at the Catchment Scale: An Application to the Houston Ship Channel, Texas von Couasnon, Anaïs, Sebastian, Antonia, Morales-Nápoles, Oswaldo

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The probabilistic dependence of ship-induced waves is preserved spatially and temporally in the Savannah River (USA) von Mares-Nasarre, Patricia, Muscalus, Alexandra, Haas, Kevin, Morales-Nápoles, Oswaldo

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Pan-European hydrodynamic models and their ability to identify compound floods von Paprotny, Dominik, Vousdoukas, Michalis I., Morales-Nápoles, Oswaldo, Jonkman, Sebastiaan N., Feyen, Luc

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Estimating exposure of residential assets to natural hazards in Europe using open data von Paprotny, Dominik, Kreibich, Heidi, Morales-Nápoles, Oswaldo, Terefenko, Pawel, Schröter, Kai

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Matlatzinca: A PyBANSHEE-based graphical user interface for elicitation of non-parametric Bayesian networks from experts von Rongen, Guus, Morales-Nápoles, Oswaldo

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Elicitation of Rank Correlations with Probabilities of Concordance: Method and Application to Building Management von Ramousse, Benjamin, Mendoza-Lugo, Miguel Angel, Rongen, Guus, Morales-Nápoles, Oswaldo

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Investigating meteorological wet and dry transitions in the Dutch Meuse River basin von Hariharan Sudha, Srividya, Ragno, Elisa, Morales-Nápoles, Oswaldo, Kok, Matthijs

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Chimera: An atlas of regular vines on up to 8 nodes von Morales-Nápoles, Oswaldo, Rajabi-Bahaabadi, Mojtaba, Torres-Alves, Gina Alexandra, ’t Hart, Cornelis Marcel Pieter

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Version 1.3-BANSHEE—A MATLAB toolbox for Non-Parametric Bayesian Networks von Mendoza-Lugo, Miguel Angel, Morales-Nápoles, Oswaldo

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Probabilistic Characterization of the Vegetated Hydrodynamic System Using Non-Parametric Bayesian Networks von Niazi, Muhammad Hassan Khan, Morales Nápoles, Oswaldo, van Wesenbeeck, Bregje K.

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ANDURIL — A MATLAB toolbox for ANalysis and Decisions with UnceRtaInty: Learning from expert judgments von Leontaris, Georgios, Morales-Nápoles, Oswaldo

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BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks von Paprotny, Dominik, Morales-Nápoles, Oswaldo, Worm, Daniël T.H., Ragno, Elisa

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Mapping hazardous locations on a road network due to extreme gross vehicle weights von Mendoza-Lugo, Miguel Angel, Morales-Nápoles, Oswaldo

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