Aaron Velasco

Orcid: 0000-0003-0695-6153

Affiliations:
  • University of Texas at El Paso, USA


According to our database1, Aaron Velasco authored at least 12 papers between 2010 and 2024.

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Bibliography

2024
Why 6-Labels Uncertainty Scale in Geosciences: Probability-Based Explanation.
Proceedings of the New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024

2023
High-Impact Low-Probability Events are Even More Important Than it is Usually Assumed.
Proceedings of the Fuzzy Information Processing 2023, 2023

Everything is a Matter of Degree: The Main Idea Behind Fuzzy Logic is Useful in Geosciences and in Authorship.
Proceedings of the Fuzzy Information Processing 2023, 2023

Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? a General Explanation.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

2022
Why Daubechies wavelets are so successful.
J. Intell. Fuzzy Syst., 2022

2020
Scale-Invariance and Fuzzy Techniques Explain the Empirical Success of Inverse Distance Weighting and of Dual Inverse Distance Weighting in Geosciences.
Proceedings of the Fuzzy Information Processing 2020, 2020

2017
Soft computing approach to detecting discontinuities: Seismic analysis and beyond.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2014
How to estimate relative spatial resolution of different maps or images of the same area?
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013
How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions.
Proceedings of the Advance Trends in Soft Computing, 2013

2012
A Hybrid Algorithm for Crustal Velocity Modeling.
Proceedings of the Advances in Computational Intelligence, 2012

2010
How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study.
J. Adv. Comput. Intell. Intell. Informatics, 2010

Spatial Resolution for Processing Seismic Data: Type-2 Methods for Finding the Relevant Granular Structure.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010


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