Oswaldo Morales-Nápoles

Orcid: 0000-0002-6764-4674

According to our database1, Oswaldo Morales-Nápoles authored at least 15 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Mapping hazardous locations on a road network due to extreme gross vehicle weights.
Reliab. Eng. Syst. Saf., February, 2024

2023
Version 1.3-BANSHEE - A MATLAB toolbox for Non-Parametric Bayesian Networks.
SoftwareX, July, 2023

PyBanshee version (1.0): A Python implementation of the MATLAB toolbox BANSHEE for Non-Parametric Bayesian Networks with updated features.
SoftwareX, February, 2023

2022
Expert judgment-based reliability analysis of the Dutch flood defense system.
Reliab. Eng. Syst. Saf., 2022

2020
Update (1.2) to ANDURIL and ANDURYL: Performance improvements and a graphical user interface.
SoftwareX, 2020

BANSHEE-A MATLAB toolbox for Non-Parametric Bayesian Networks.
SoftwareX, 2020

Reliability analysis of flood defenses: The case of the Nezahualcoyotl dike in the aztec city of Tenochtitlan.
Reliab. Eng. Syst. Saf., 2020

2019
Update (1.1) to ANDURIL - A MATLAB toolbox for ANalysis and Decisions with UnceRtaInty: Learning from expert judgments.
SoftwareX, 2019

Monitoring Cliff Erosion with LiDAR Surveys and Bayesian Network-based Data Analysis.
Remote. Sens., 2019

2018
ANDURIL - A MATLAB toolbox for ANalysis and Decisions with UnceRtaInty: Learning from expert judgments.
SoftwareX, 2018

2017
Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions.
Eur. J. Oper. Res., 2017

A Two-Dimension Dynamic Bayesian Network for Large-Scale Degradation Modeling with an Application to a Bridges Network.
Comput. Aided Civ. Infrastructure Eng., 2017

2015
Non-parametric Bayesian networks: Improving theory and reviewing applications.
Reliab. Eng. Syst. Saf., 2015

2014
Analysis of axle and vehicle load properties through Bayesian Networks based on Weigh-in-Motion data.
Reliab. Eng. Syst. Saf., 2014

2008
Response to Prof. O'Hagan.
Reliab. Eng. Syst. Saf., 2008


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