CS Technical Reports

The file that you are reading contains the list of our 2023 reports. Links from this list lead to pdf files. Lists of reports from the previous years can be found by clicking on:

  • 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
  • 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