Bayesian networks in environmental modeling

Bayesian networks in environmental modeling

Bayesian networks (BNs), also known as Bayesian belief networks or Bayes nets, are a kind of probabilistic graphical model that has become very popular to practitioners mainly due to the powerful probability theory involved, which makes them able to deal with a wide range of problems.The goal of thi...

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Manylion Llyfryddiaeth
Prif Awduron:	Fernández Ropero, Rosa María, Aguilera Aguilera, Pedro, Fernández Álvarez, Antonio, Rumí Rodríguez, Rafael, Salmerón Cerdán, Antonio
Fformat:	info:eu-repo/semantics/article
Iaith:	English
Cyhoeddwyd:	Elsevier 2024
Mynediad Ar-lein:	http://hdl.handle.net/10835/14946

Eitemau Tebyg

Regression using hybrid Bayesian networks: modelling landscape - socioeconomy relationships
gan: Fernández Ropero, Rosa María, et al.
Cyhoeddwyd: (2024)

Bayesian networks for evaluating Climate Change influence in olive crops in Andalusia, Spain.
gan: Fernández Ropero, Rosa María, et al.
Cyhoeddwyd: (2024)

Modelling relationships between socioeconomy, landscape and water flows in Mediterranean agroecosystems: a case study in Adra catchment (Spain) using Bayesian networks
gan: Fernández Ropero, Rosa María, et al.
Cyhoeddwyd: (2024)

Answering queries in hybrid Bayesian networks using importance sampling
gan: Fernández, Antonio, et al.
Cyhoeddwyd: (2017)

Analysis of the socioecological structure and dynamics of the territory using a hybrid Bayesian network classifier
gan: Fernández Ropero, Rosa María, et al.
Cyhoeddwyd: (2024)

Applications of hybrid dynamic Bayesian networks to water reservoir management
gan: Fernández Ropero, Rosa María, et al.
Cyhoeddwyd: (2024)

Comments on: Hybrid semiparametric Bayesian networks
gan: Salmerón Cerdán, Antonio
Cyhoeddwyd: (2023)

Structural Learning of Bayesian Networks with Mixtures of Truncated Exponentials
gan: Romero, Vanessa, et al.
Cyhoeddwyd: (2012)

Bayesian Networks for Preprocessing Water Management Data
gan: Fernández Ropero, Rosa María, et al.
Cyhoeddwyd: (2022)

Learning hybrid Bayesian networks using mixtures of truncated exponentials
gan: Romero, Vanessa, et al.
Cyhoeddwyd: (2017)

Groundwater quality assessment using data clustering based on hybrid Bayesian networks
gan: Aguilera Aguilera, Pedro, et al.
Cyhoeddwyd: (2024)

Modeling Semi-Arid River-Aquifer Systems With Bayesian Networks and Artificial Neural Networks
gan: Maldonado González, Ana Devaki, et al.
Cyhoeddwyd: (2022)

BayesChess: A computer chess program based on Bayesian networks
gan: Fernández, Antonio, et al.
Cyhoeddwyd: (2017)

LEARNING BAYESIAN NETWORKS FOR REGRESSION FROM INCOMPLETE DATABASES*
gan: Fernández, Antonio, et al.
Cyhoeddwyd: (2017)

A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks
gan: Ropero, Rosa F., et al.
Cyhoeddwyd: (2021)

Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks
gan: Flores Gallego, María Julia, et al.
Cyhoeddwyd: (2024)

Learning and Inference methodologies for Hybrid Dynamic Bayesian networks. A case study for a water reservoir system in Andalusia, Spain.
gan: Fernández Ropero, Rosa María, et al.
Cyhoeddwyd: (2024)

Discretizing environmental data for learning Bayesian-networkclassifiers
gan: Fernández Ropero, Rosa María, et al.
Cyhoeddwyd: (2024)

Dynamic Importance Sampling in Bayesian Networks Based on Probability Trees
gan: Moral, Serafín, et al.
Cyhoeddwyd: (2017)

Bayesian Network analysis of software logs for data‐driven software maintenance
gan: del Rey, Santiago, et al.
Cyhoeddwyd: (2023)

Reduction of Irrelevant Features in Oceanic Satellite Images by means of Bayesian Networks
gan: Piedra Fernández, José Antonio, et al.
Cyhoeddwyd: (2012)

MAP inference in dynamic hybrid Bayesian networks
gan: Ramos López, Darío, et al.
Cyhoeddwyd: (2017)

Modelling uncertainty in social-natural interactions
gan: Fernández Ropero, Rosa María, et al.
Cyhoeddwyd: (2024)

Detecting social‑ecological resilience thresholds of cultural landscapes along an urban–rural gradient: a methodological approach based on Bayesian Networks
gan: Arnaiz-Schmitz, Cecilia, et al.
Cyhoeddwyd: (2024)

Fast factorisation of probabilistic potentials and its application to approximate inference in Bayesian networks
gan: Cano, Andrés, et al.
Cyhoeddwyd: (2017)

Probabilistic Models with Deep Neural Networks
gan: Masegosa Arredondo, Andrés Ramón, et al.
Cyhoeddwyd: (2021)

Prospective Environmental and Economic Assessment of a Sensor Network
gan: Portillo Rodríguez, Francisco, et al.
Cyhoeddwyd: (2021)

Metamodeling of Bayesian networks for decision-support systems development
gan: Del Águila Cano, Isabel María, et al.
Cyhoeddwyd: (2017)

MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions
gan: Maldonado González, Ana Devaki, et al.
Cyhoeddwyd: (2023)

Requirement Risk Level Forecast Using Bayesian Networks Classifiers
gan: Del Águila Cano, Isabel María, et al.
Cyhoeddwyd: (2016)

Analyzing Uncertainty in Complex Socio-Ecological Networks
gan: Maldonado González, Ana Devaki, et al.
Cyhoeddwyd: (2020)

EMM Model. Environmental Management Maturity Model for Industrial Companies
gan: Ormazabal-Goenaga, M. (Marta), et al.
Cyhoeddwyd: (2013)

Structural-EM for Learning PDG Models from Incomplete Data
gan: Nielsen, Jens D., et al.
Cyhoeddwyd: (2012)

MPE inference in Conditional Linear Gaussian Networks
gan: Salmerón Cerdán, Antonio, et al.
Cyhoeddwyd: (2017)

Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks
gan: Ramos-López, Darío, et al.
Cyhoeddwyd: (2021)

Redes bayesianas: una herramienta probabilística en los modelos de distribución de especies
gan: Fernández Ropero, Rosa María, et al.
Cyhoeddwyd: (2024)

Parameter learning in MTE networks using incomplete data
gan: Fernández, Antonio, et al.
Cyhoeddwyd: (2012)

Environmental modeling: fate and transport of pollutants in water, air, and soil
gan: Schnoor, Jerald L.

Learning naive Bayes regression models with missing data using mixtures of truncated exponentials
gan: Fernández, Antonio, et al.
Cyhoeddwyd: (2012)

Predicting severe haematological toxicity in gastrointestinal cancer patients undergoing 5-FU-based chemotherapy: A bayesian network approach
gan: Ruiz-Sarrias, O. (Oskitz), et al.
Cyhoeddwyd: (2024)