CS Technical Reports
The file that you are reading contains the list of our 2024 reports. Links from this list lead to pdf files. Lists of reports from the previous years can be found by clicking on:
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What Is Optimal Granularity When Estimating Reliability of a Complex Engineering Systems
Niklas Winnewisser, Michael Beer, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-58 in pdf -
How Shapley Value and Its Generalizations Can Help in the Analysis of Complex Engineering Systems and What Next
Niklas Winnewisser, Michael Beer, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-57 in pdf -
Fair Economic Division: How to Modify Shapley Value to Take Into Account that Different People Have Different Productivity
Christian Servin and Vladik Kreinovich
link to abstract | UTEP-CS-24-56 in pdf | UTEP-CS-24-56b in pdf -
Logarithmic Number System Is Optimal for AI Computations: Theoretical Explanation of an Empirical Success
Olga Kosheleva, Vladik Kreinovich, Christoph Lauter, and Kristalys Ruiz-Rohena
link to abstract | UTEP-CS-24-55 in pdf | UTEP-CS-24-55a in pdf -
Why Linear Faults Have Fewer Earthquakes: A Geometric Explanation
Julio C. Urenda, Aaron Velasco, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-54 in pdf -
Why Geological Angular Unconformity Is Usually Horizontal: A Geometric Explanation
Julio C. Urenda, Aaron Velasco, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-53 in pdf -
Is Energy Local? Counterintuitive Non-Locality of Energy in General Relativity Can Be Naturally Explained on the Newtonian Level
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-52 in pdf | UTEP-CS-24-52a in pdf -
Two Is Enough, but Three (or More) Is Better: in AI and Beyond
Olga Kosheleva, Vladik Kreinovich, Victor Timchenko, and Yuriy Kondratenko
link to abstract | UTEP-CS-24-51 in pdf | UTEP-CS-24-51a in pdf -
Training Neural Networks on Interval Data: Unexpected Results and Their Explanation
Edwin Tomy George, Luc Jaulin, Vladik Kreinovich, Christoph Lauter, and Martine Ceberio
link to abstract | UTEP-CS-24-50 in pdf -
Three Applications of Geometric Reasoning: Why Metastasis Is Mostly Caused by Elongated Cancer Cells? How Body Shape Affects Curiosity? Why Ring Fractures in Ice?
Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-49 in pdf -
How to Check Continuity Based on Approximate Measurement Results
Inese Bula and Vladik Kreinovich
link to abstract | UTEP-CS-24-48 in pdf -
Why Kolmolgorov-Arnold Networks (KAN) Work So Well: A Qualitative Explanation
Hung T. Nguyen, Vladik Kreinovich, and Olga Kosheleva
link to abstract | UTEP-CS-24-47 in pdf -
A Full Description of All Commutative Associative Polynomial Operations on Probabilities
Miroslav Svitek, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
link to abstract | UTEP-CS-24-46 in pdf -
To Which Interdisciplinary Research Collaborations Should We Pay More Attention?
Miroslav Svitek, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
link to abstract | UTEP-CS-24-45 in pdf -
Why Decisions Based on the Results of Worst-Case, Most Realistic, and Best-Case Scenarios Work Well?
Miroslav Svitek, Olga Kosheleva, Vladik Kreinovich, and Chon Van Le
link to abstract | UTEP-CS-24-44 in pdf -
Why Green Wavelength Is Closer to Blue Than to Red and How It Is Related to Computations: Information-Based Explanation
Victor L. Timchenko, Yuriy P. Kondratenko, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
link to abstract | UTEP-CS-24-43 in pdf -
What If the Resulting Interval Is Too Wide: From a Heuristic Fuzzy-Technique Idea to a Mathematically Justified Approach
Marc Fina and Vladik Kreinovich
link to abstract | UTEP-CS-24-42 in pdf -
Shapley Value under Interval Uncertainty and Partial Information
Kittawit Autchariyapanikul, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-41 in pdf -
Why Seismicity in Ireland Is Low: A Possible Geometric Explanation
Julio C. Urenda, Aaron Velasco, and Vladik Kreinovich
link to abstract | UTEP-CS-24-40 in pdf -
Why Angles Between Galactic Center Filaments and Galactic Plane Follow a Bimodal Distribution: A Symmetry-Based Explanation
Julio C. Urenda and Vladik Kreinovich
link to abstract | UTEP-CS-24-39 in pdf -
Stochastic Dominance: Cases of Interval and P-Box Uncertainty
Kittawit Autchariyapanikul, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-38 in pdf -
Is Alaska Negative-Tax Arrangement Fair? Almost: Mathematical Analysis
Chon Van Le and Vladik Kreinovich
link to abstract | UTEP-CS-24-37 in pdf -
For 2 x n Cases, Proportional Fitting Problem Reduces to a Single Equation
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-36 in pdf -
If Subsequent Results Are Too Easy to Obtain, the Proof Most Probably Has Errors: Explanation of the Empirical Observation
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-35 in pdf -
Towards a More Subtle (and Hopefully More Adequate) Fuzzy "And"-Operation: Normalization-Invariant Multi-Input Aggregation Operators
Yusuf Guven and Vladik Kreinovich
link to abstract | UTEP-CS-24-34 in pdf -
Why Fully Consistent Quantum Field Theories Require that the Space-Time Be at Least 10-Dimensional: A Commonsense Field-Based Explanation
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-33 in pdf -
Why Empirical Membership Functions Are Well-Approximated by Piecewise Quadratic Functions: Theoretical Explanation for Empirical Formulas of Novak's Fuzzy Natural Logic
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-32 in pdf -
How to Propagate Uncertainty via AI Algorithms
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-31 in pdf -
Why Magenta Is Not a Real Color, and How It Is Related to Fuzzy Control and Quantum Computing
Victor L. Timchenko, Yuriy P. Kondratenko, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-30 in pdf | UTEP-CS-24-30a in pdf -
What to Do If an Inflexible Tolerance Problem Has No Solutions: Probabilistic Justification of Piegat's Semi-Heuristic Idea
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-29 in pdf -
How to Make AI More Reliable
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-28 in pdf -
For Discrete-Time Linear Dynamical Systems under Interval Uncertainty, Predicting Two Moments Ahead Is NP-Hard
Luc Jaulin, Olga Kosheleva, Vladik Kreinovich
link to abstract | UTEP-CS-24-27 in pdf -
Why Is Grade Distribution Often Bimodal? Why Individualized Teaching Adds Two Sigmas to the Average Grade? And How Are These Facts Related?
Christian Servin, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-26 in pdf | UTEP-CS-24-26a in pdf -
How to Make a Neural Network Learn from a Small Number of Examples -- and Learn Fast: An Idea
Chitta Baral and Vladik Kreinovich
link to abstract | UTEP-CS-24-25 in pdf -
How Can We Explain Empirical Formulas for Shrinkage Cracking of Cement-Stabilized Pavement Layers
Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich
link to abstract | UTEP-CS-24-24 in pdf -
Topics in the Study of the Pragmatic Functions of Phonetic Reduction in Dialog
Nigel G. Ward and Carlos A. Ortega
link to abstract | UTEP-CS-24-23 in pdf -
Towards an Optimal Design: What Can We Recommend to Elon Musk?
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, and Hung T. Nguyen
link to abstract | UTEP-CS-24-22 in pdf -
Shall We Place More Advanced Students in a Separate Class?
Shahnaz Shahbazova, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-21 in pdf -
Using Known Relation Between Quantities to Make Measurements More Accurate and More Reliable
Niklas R. Winnewisser, Felix Mett, Michael Beer, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-20 in pdf | UTEP-CS-24-20a in pdf -
How to Fairly Allocate Safety Benefits of Self-Driving Cars
Fernando Munoz, Christian Servin, and Vladik Kreinovich
link to abstract | UTEP-CS-24-19 in pdf -
Data Fusion Is More Complex Than Data Processing: A Proof
Robert Alvarez, Salvador Ruiz, Martine Ceberio, and Vladik Kreinovich
link to abstract | UTEP-CS-24-18 in pdf -
Number Representation With Varying Number of Bits
Anuradha Choudhury, Md Ahsanul Haque, Saeefa Rubaiyet Nowmi, Ahmed Ann Noor Ryen, Sabrina Saika, and Vladik Kreinovich
link to abstract | UTEP-CS-24-17 in pdf -
Paradox of Causality and Paradoxes of Set Theory
Alondra Baquier, Bradley Beltran, Gabriel Miki-Silva, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-16 in pdf -
How to Make a Decision under Interval Uncertainty If We Do Not Know the Utility Function
Jeffrey Escamilla and Vladik Kreinovich
link to abstract | UTEP-CS-24-15 in pdf -
Why Two Fish Follow Each Other but Three Fish Form a School: A Symmetry-Based Explanation
Shahnaz Shahbazova, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-14 in pdf -
From Aristotle to Newton, from Sets to Fuzzy Sets, and from Sigmoid to ReLU: What Do All These Transitions Have in Common?
Christian Servin, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-13 in pdf | UTEP-CS-24-13a in pdf -
How to Gauge Inequality and Fairness: A Complete Description of All Decomposable Versions of Theil Index
Saeid Tizpaz-Niari, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-12 in pdf | UTEP-CS-24-12a in pdf -
Somewhat Surprisingly, (Subjective) Fuzzy Technique Can Help to Better Combine Measurement Results and Expert Estimates into a Model with Guaranteed Accuracy: Digital Twins and Beyond
Niklas Winnewisser, Michael Beer, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-11 in pdf | UTEP-CS-24-11a in pdf -
Why Bernstein Polynomials: Yet Another Explanation
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-10 in pdf | UTEP-CS-24-10a in pdf -
McFadden's Discrete Choice and Softmax under Interval (and Other) Uncertainty: Revisited
Bartlomiej Jacek Kubica, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-09 in pdf | UTEP-CS-24-09a in pdf -
Why Linear and Sigmoid Last Layers Work Better in Classification
Lehel Denes-Fazakas, Laszlo Szilagyi, and Vladik Kreinovich
link to abstract | UTEP-CS-24-08 in pdf -
How Difficult Is It to Comprehend a Program That Has Significant Repetitions: Fuzzy-Related Explanations of Empirical Results
Christian Servin, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-07 in pdf | UTEP-CS-24-07a in pdf -
Why Pavement Cracks Are Mostly Longitudinal, Sometimes Transversal, and Rarely of Other Directions: A Geometric Explanation
Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-24-06 in pdf -
From Quantifying and Propagating Uncertainty to Quantifying and Propagating Both Uncertainty and Reliability: Practice-Motivated Approach to Measurement Planning and Data Processing
Niklas R. Winnewisser, Michael Beer, Vladik Kreinovich, and Olga Kosheleva
link to abstract | UTEP-CS-24-05 in pdf | UTEP-CS-24-05a in pdf -
There Is Still Plenty of Room at the Bottom: Feynman's Vision of Quantum Computing 65 Years Later
Alexis Lupo, Olga Kosheleva, Vladik Kreinovich, Victor Timchenko, and Yuriy Kondratenko
link to abstract | UTEP-CS-24-04 in pdf -
Fuzzy Ideas Explain Fechner Law and Help Detect Relation Between Objects in Video
Olga Kosheleva, Vladik Kreinovich, and Ahnaf Farhan
link to abstract | UTEP-CS-24-03 in pdf | UTEP-CS-24-03a in pdf -
From Normal Distribution to What? How to Best Describe Distributions with Known Skewness
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-02 in pdf -
Every Feasibly Computable Reals-to-Reals Function Is Feasibly Uniformly Continuous
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-24-01 in pdf