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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Non-parametric Bayesian networks: Improving theory and reviewing applications von Hanea, Anca, Morales Napoles, Oswaldo, Ababei, Dan

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A Comprehensive Review on Smart Grids: Challenges and Opportunities von Moreno Escobar, Jesús Jaime, Morales Matamoros, Oswaldo, Tejeida Padilla, Ricardo, Lina Reyes, Ixchel, Quintana Espinosa, Hugo

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

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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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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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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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A Reconsideration of Hofstede’s Fifth Dimension: New Flexibility Versus Monumentalism Data From 54 Countries von Minkov, Michael, Bond, Michael H., Dutt, Pinaki, Schachner, Michael, Morales, Oswaldo, Sanchez, Carlos, Jandosova, Janar, Khassenbekov, Yerlan, Mudd, Ben

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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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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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Biomedical Signal Acquisition Using Sensors under the Paradigm of Parallel Computing von Moreno Escobar, Jesús Jaime, Morales Matamoros, Oswaldo, Tejeida Padilla, Ricardo, Chanona Hernández, Liliana, Posadas Durán, Juan Pablo Francisco, Pérez Martínez, Ana Karen, Lina Reyes, Ixchel, Quintana Espinosa, Hugo

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Energy-Efficient Industrial Internet of Things Software-Defined Network by Means of the Peano Fractal von Moreno Escobar, Jesus Jaime, Morales Matamoros, Oswaldo, Lina Reyes, Ixchel, Tejeida-Padilla, Ricardo, Chanona Hernández, Liliana, Posadas Durán, Juan Pablo Francisco

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