Julio C. Urenda

19 papers B 3Unranked 9
YearRankTypeTitle / Venue / Authors
2025 B conf
Memories of the Future: Systems, Human, and Cybernetic Aspects of the Emerging Post-AI World.
SMC
Vladik Kreinovich, Miroslav Svitek, Julio C. Urenda, Olga Kosheleva
2024 — ch.
Fuzzy Techniques Explain the Effectiveness of ReLU Activation Function in Deep Learning.
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2024 — ch.
Why 6-Labels Uncertainty Scale in Geosciences: Probability-Based Explanation.
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
Aaron Velasco, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Dimension Compactification Naturally Follows from First Principles.
Decision Making Under Uncertainty and Constraints
Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Fuzzy Techniques, Laplace Indeterminacy Principle, and Maximum Entropy Approach Explain Lindy Effect and Help Avoid Meaningless Infinities in Physics.
Decision Making Under Uncertainty and Constraints
Julio C. Urenda, Sean R. Aguilar, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation.
Decision Making Under Uncertainty and Constraints
Julio C. Urenda, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Menzerath's Law?
Uncertainty, Constraints, and Decision Making
Julio C. Urenda, Vladik Kreinovich
2022 — book
Algebraic Approach to Data Processing - Techniques and Applications
Julio C. Urenda, Vladik Kreinovich
2022 — conf
Why 1/(1+d) Is an Effective Distance-Based Similarity Measure: Two Explanations.
IS
Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2021 — conf
Mexican Folk Arithmetic Algorithm Makes Perfect Sense.
NAFIPS
Julio C. Urenda, Christian Servin, Olga Kosheleva, Vladik Kreinovich
2021 — conf
Why Kappa Regression?
IFSA/EUSFLAT/AGOP
Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, György Eigner, Olga Kosheleva, Vladik Kreinovich
2020 — conf
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples.
NAFIPS
Julio C. Urenda, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2020 — conf
How User Ratings Change with Time: Theoretical Explanation of an Empirical Formula.
NAFIPS
Julio C. Urenda, Manuel Hernandez, Natalia Villanueva-Rosales, Vladik Kreinovich
2020 — conf
Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations.
NAFIPS
Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, György Eigner, Vladik Kreinovich
2020 — conf
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria.
IPMU (1)
Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2020 — conf
Why Spiking Neural Networks Are Efficient: A Theorem.
IPMU (1)
Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2020 B conf
Why Squashing Functions in Multi-Layer Neural Networks.
SMC
Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, Olga Kosheleva, Vladik Kreinovich, György Eigner
2020 — conf
Why a Classification Based on Linear Approximation to Dynamical Systems Often Works Well in Nonlinear Cases.
NAFIPS
Julio C. Urenda, Vladik Kreinovich
2008 B conf
How to reconcile physical theories with the idea of free will: From analysis of a simple model to interval and fuzzy approaches.
FUZZ-IEEE
Julio C. Urenda, Olga Kosheleva