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CS Technical Reports

The file that you are reading contains the list of our 2021 reports. Links from this list lead to pdf files. Lists of reports from the previous years can be found by clicking on:

  • What If There Are Too Many Outliers?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-110 in pdf
  • On Consistency of Multi-Intervals: A Comment

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-109 in pdf
  • Toward More Effective Use of Assertions for Mobile App Development

    Yoonsik Cheon

    link to abstract | UTEP-CS-21-108 in PDF
  • What Is the Most Robust Certainty Measure for Interval-Valued Degrees

    Vladik Kreinovich, Chenyi Hu, Makenzie Spurling, Huixin Zhan, and Victor S. Sheng

    link to abstract | UTEP-CS-21-107 in pdf
  • Negations of Probability Distributions: A Survey

    Ildar Z. Batyrshin, Nailya I. Kubysheva, Venera R. Bayrasheva, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-106 in pdf
  • How to Simulate If We Only Have Partial Information But We Want Reliable Results

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-21-105 in pdf
  • How to Select Typical Objects

    Mariana Benitez, Jeffrey Weidner, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-104 in pdf
  • Fuzzy Logic Beyond Traditional "And"- and "Or"-Operations

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-21-103 in pdf | UTEP-CS-21-103a in pdf
  • How Probabilistic Methods for Data Fitting Deal with Interval Uncertainty: A More Realistic Analysis

    Vladik Kreinovich and Sergey P. Shary

    link to abstract | UTEP-CS-21-102 in pdf
  • Why rectified linear neurons: a possible interval-based explanation

    Jonathan Contreras, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-101 in pdf
  • Kinematic Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition

    Vladik Kreinovich, Olga Kosheleva, and Victor Selivanov

    link to abstract | UTEP-CS-21-100 in pdf
  • How to Gauge the Quality of a Multi-Class Classification When Ground Truth Is Known with Uncertainty

    Ricardo Mendez, Osagumwenro Osaretin, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-99 in pdf
  • Why Residual Neural Networks

    Sofia Holguin and Vladik Kreinovich

    link to abstract | UTEP-CS-21-98 in pdf
  • Why Model Order Reduction

    Salvador Robles, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-97 in pdf
  • Fourier Transform and Other Quadratic Problems under Interval Uncertainty

    Oscar Galindo, Christopher Ibarra, Vladik Kreinovich, and Michael Beer

    link to abstract | UTEP-CS-21-96 in pdf
  • Commonsense "And"-Operations

    Javier Tellez, Wenbo Xie, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-95 in pdf
  • Decision Making Under Uncertainty: Cases When We Only Know an Upper Bound or a Lower Bound

    Toshiki Kamio, Gavin Baechle, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-94 in pdf
  • Why Geological Regions?

    Daniela Flores, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-93 in pdf
  • Why People Overestimate Small Probabilities?

    David Amparan and Vladik Kreinovich

    link to abstract | UTEP-CS-21-92 in pdf
  • Fault Detection in a Smart Electric Grid: Geometric Analysis

    Hector Reyes, Dillon Trinh, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-91 in pdf
  • Why Ovals in Eliciting Intervals?

    Joshua Zamora and Vladik Kreinovich

    link to abstract | UTEP-CS-21-90 in pdf
  • Different Concepts, Similar Computational Complexity: Nguyen's Results about Fuzzy and Interval Computations 35 Years Later

    Hung T. Nguyen and Vladik Kreinovich

    link to abstract | UTEP-CS-21-89 in pdf
  • Why Do People Become Addicted: Towards a Theoretical Explanation for Eyal's Experiment-Based Hook Model

    Christopher Reyes and Vladik Kreinovich

    link to abstract | UTEP-CS-21-88 in pdf
  • Why Moments (and Generalized Moments) Are Used in Statistics and Why Expected Utility Is Used in Decision Making: A Possible Explanation

    R. Noah Padilla and Vladik Kreinovich

    link to abstract | UTEP-CS-21-87 in pdf
  • Ethical Dilemma of Self-Driving Cars: Conservative Solution

    Christian Servin, Vladik Kreinovich, and Shahnaz Shahbazova

    link to abstract | UTEP-CS-21-86 in pdf
  • Localized Learning: A Possible Alternative to Current Deep Learning Techniques

    Javier Viana, Kelly Cohen, Anca Ralescu, Stephan Ralescu, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-85 in pdf
  • What Is a Reasonable Way to Make Predictions?

    Leonardo Orea Amador and Vladik Kreinovich

    link to abstract | UTEP-CS-21-84 in pdf
  • Why Rectified Linear Activation Functions? Why Max-Pooling? A Possible Explanation

    Julio C. Urenda and Vladik Kreinovich

    link to abstract | UTEP-CS-21-83 in pdf
  • How the Pavement's Lifetime Depends on the Stress Level: An Explanation of the Empirical Formula

    Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva, and Hoang Phuong Nguyen

    link to abstract | UTEP-CS-21-82 in pdf
  • As Complexity Rises, Meaningful Statements Lose Precision -- but Why?

    Miroslav Svitek, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-81 in pdf
  • Shall We Be Foxes or Hedgehogs: What Is the Best Balance for Research?

    Miroslav Svitek, Olga Kosheleva, Shahnaz Shahbazova, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-80 in pdf
  • Freedom of Will, Physics, and Human Intelligence: An Idea

    Miroslav Svitek, Vladik Kreinovich, and Nguyen Hoang Phuong

    link to abstract | UTEP-CS-21-79 in pdf
  • Why Normalized Difference Vegetation Index (NDVI)?

    Francisco Zapata, Eric Smith, Vladik Kreinovich, and Nguyen Hoang Phuong

    link to abstract | UTEP-CS-21-78 in pdf
  • Blessings, God, Sacrifices: Possible Rational Explanations of Biblical Ideas

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-77 in pdf
  • Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions?

    Christian Servin, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-76 in pdf
  • Why Moving Fast and Breaking Things Makes Sense?

    Francisco Zapata, Eric Smith, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-75 in pdf
  • While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible

    Ander Gray, Scott Ferson, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-74 in pdf | UTEP-CS-21-74a in pdf
  • Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL-Decomposition and Interval Fields

    Michael Beer, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-73 in pdf | UTEP-CS-21-73a in pdf
  • Correcting Interval-Valued Expert Estimates: Empirical Formulas Explained

    Laura A. Berrout Ramos, Vladik Kreinovich, and Kittawit Autchariyapanitkul

    link to abstract | UTEP-CS-21-72 in pdf
  • How to Gauge Students' Ability to Collaborate?

    Christian Servin, Olga Kosheleva, Shahnaz Shahbazova, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-71 in pdf
  • How to Work? How to Study? Shall We Cram for the Exams? And How Is This Related to Life on Earth?

    Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong

    link to abstract | UTEP-CS-21-70 in pdf
  • Predicting (Economic) Trends: Why Signature Method in Machine Learning

    Vladik Kreinovich and Chon Van Le

    link to abstract | UTEP-CS-21-69 in pdf
  • Why Quantum Techniques Are a Good First Approximation to Economic Phenomena, and What Next

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-21-68 in pdf
  • What Is the Uncertainty of the Result of Data Processing: Fuzzy Analogue of the Central Limit Theorem

    Julio C. Urenda, Olga Kosheleva, Shahnaz Shahbazova, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-67 in pdf
  • What Fuzzy and Quantum Computing Can Learn from the Success of Deep Learning

    Shahnaz Shahbazova and Vladik Kreinovich

    link to abstract | UTEP-CS-21-66 in pdf
  • So how to make group decisions? Arrow's Impossibility Theorem 70 years after

    Hung T. Nguyen, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-65 in pdf
  • Is It Fair That Advanced Workers Get Paid Disproportionally More: Economic Analysis

    Olga Kosheleva and Sean R. Aguilar

    link to abstract | UTEP-CS-21-64 in pdf
  • How Multi-View Techniques Can Help In Processing Uncertainty

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-63 in pdf | UTEP-CS-21-63a in pdf | UTEP-CS-21-63b in pdf
  • Why Daubechies wavelets are so successful

    Solymar Ayala Cortez, Laxman Bokati, Aaron Velasco, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-62 in pdf | UTEP-CS-21-62a in pdf
  • Why neural networks in the first place: a theoretical explanation

    Jonatan Contreras, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-61 in pdf | UTEP-CS-21-61a in pdf
  • Why Rectified Linear Neurons: Two Convexity-Related Explanations

    Jonatan Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong

    link to abstract | UTEP-CS-21-60 in pdf
  • Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs

    Vladik Kreinovich, Oscar Galindo, and Olga Kosheleva

    link to abstract | UTEP-CS-21-59 in pdf | UTEP-CS-21-59a in pdf | UTEP-CS-21-59c in pdf
  • Why Cauchy Membership Functions: Efficiency

    Javier Viana, Stephan Ralescu, Kelly Cohen, Anca Ralescu, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-58 in pdf | UTEP-CS-21-58b in pdf
  • Why Cauchy Membership Functions: Reliability

    Javier Viana, Stephan Ralescu, Kelly Cohen, Anca Ralescu, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-58c in pdf
  • Green Computing: Three Examples of How Non-Trivial Mathematical Analysis Can Help

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-57 in pdf
  • Extension to Multidimensional Problems of a Fuzzy-based Explainable & Noise-Resilient Algorithm

    Javier Viana, Stephan Ralescu, Kelly Cohen, Anca Ralescu, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-56 in pdf
  • How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-55 in pdf
  • Shall We Ignore All Intermediate Grades?

    Christian Servin, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-54 in pdf
  • Revolt Pimenov Taught Us How to Be Scientists

    Vladik Kreinovich

    link to abstract | UTEP-CS-21-53 in pdf
  • Order Relations Are Ubiquitously Fundamental: Alexandrov(-Zeeman) Theorem Extended from Space-Time Physics to Logical Reasoning and Decision Making

    Vladik Kreinovich, Olga Kosheleva, Laxman Bokati, and Laura Berrout

    link to abstract | UTEP-CS-21-52 in pdf
  • Five Revolutionary Ideas in the 1950s-70s Science: 90th Birthday of Revolt Pimenov

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-51 in pdf
  • Why Too Much Interaction Between Different Parts of the Brain Leads To Unhappiness

    Ricardo Alvarez, Yamel Hernandez, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-50 in pdf
  • Godel's Proof of Existence of God Revisited

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-49 in pdf
  • How Accurate Are Fuzzy Control Recommendations: Interval-Valued Case

    Juan Carlos Figueroa Garcia and Vladik Kreinovich

    link to abstract | UTEP-CS-21-48 in pdf | UTEP-CS-21-48a in pdf
  • Why Chomsky Normal Form: A Pedagogical Note

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-47 in pdf
  • Is Our World Becoming Less Quantum?

    Lidice Castro and Vladik Kreinovich

    link to abstract | UTEP-CS-21-46 in pdf
  • What Is Wrong with Micromanagement: Economic View

    Sean R. Aguilar and Olga Kosheleva

    link to abstract | UTEP-CS-21-45 in pdf
  • Randomized Tax Deadlines Can Help Economy

    Julio C. Urenda and Olga Kosheleva

    link to abstract | UTEP-CS-21-44 in pdf | UTEP-CS-21-44b in pdf | UTEP-CS-21-44dV2 in pdf
  • Why Semi-Supervised Learning Makes Sense: A Pedagogical Note

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-43 in pdf
  • What Is 1/0 from the Practical Viewpoint: A Pedagogical Note

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-42 in pdf
  • Why, in Deep Learning, Non-Smooth Activation Function Works Better Than Smooth Ones

    Daniel Cruz, Ricardo Godoy, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-41 in pdf
  • Why Decimal System? Why Communities With More Than 150 Folks Tend to Split? New Consequences of the Seven Plus Minus Two Law

    Leonardo Orea Amador and Vladik Kreinovich

    link to abstract | UTEP-CS-21-40 in pdf
  • Why oo Is a Reasonable Symbol for Infinity

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-39 in pdf
  • Why Dilated Convolutional Neural Networks: A Proof of Their Optimality

    Jonatan Contreras, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-38 in pdf | UTEP-CS-21-38a in pdf | UTEP-CS-21-38b in pdf | UTEP-CS-21-38c in pdf
  • Lev Landau's Marital Advice Explained

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-37 in pdf
  • Selfish Gene Theory Explains Oedipus Complex

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-36 in pdf
  • Low-Complexity Zonotopes Can Enhance Uncertainty Quantification (UQ)

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-35 in pdf
  • Fuzzy Techniques, Laplace Indeterminacy Principle, and Maximum Entropy Approach Explain Lindy Effect and Help Avoid Meaningless Infinities in Physics

    Julio Urenda, Sean Aguilar, Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-34 in pdf | UTEP-CS-21-34a in pdf
  • Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-33 in pdf | UTEP-CS-21-33a in pdf
  • Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations

    Luc Longpre, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-32 in pdf
  • How to Best Write Research Papers: Basic English? Sophisticated English?

    Martine Ceberio, Christian Servin, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-31 in pdf
  • Additional Spatial Dimensions Can Help Speed Up Computations

    Luc Longpre, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-30 in pdf
  • Dimension Compactification Naturally Follows from First Principles

    Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-29 in pdf
  • Why Base-20, Base-40, and Base-60 Number Systems?

    Sean R. Aguilar, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-28 in pdf
  • How General Is Fuzzy Decision Making?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-27 in pdf | UTEP-CS-21-27a in pdf
  • Why Kappa Regression?

    Julio C. Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Gyorgy Eigner, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-26 in pdf | UTEP-CS-21-26a in pdf
  • What Is the True Formula for Soil Permeability? Not Clear

    Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich

    link to abstract | UTEP-CS-21-25 in pdf
  • How Void Ratio Depends on Grain Size In Soil Mechanics: Theoretical Explanation

    Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich

    link to abstract | UTEP-CS-21-24 in pdf
  • The UTEP Corpus of Dissatisfaction in Spoken Dialog

    Jonathan E. Avila, Nigel G. Ward, and Aaron Alarcon

    link to abstract | UTEP-CS-21-23 in pdf
  • Why Romans Sometimes Wrote 8 as VIII, And Sometimes as IIX: A Possible Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-22 in pdf
  • Mexican Folk Arithmetic Algorithm Makes Perfect Sense

    Julio C. Urenda, Christian Servin, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-21 in pdf | UTEP-CS-21-21a in pdf
  • Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI?

    Kelly Cohen, Laxman Bokati, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-20 in pdf | UTEP-CS-21-20a in pdf
  • What Teachers Can Learn from Machine Learning

    Christian Servin, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-19 in pdf | UTEP-CS-21-19a in pdf
  • Fuzzy Logic Beyond Traditional "And"-Operations

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-21-18 in pdf | UTEP-CS-21-18a in pdf
  • Zadeh's Vision, Modern Physics, and the Future of Computing

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-21-17 in pdf | UTEP-CS-21-17a in pdf
  • Why T-Duality: A Simple Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-16 in pdf
  • Why Do We Need Two Doses of Covid-19 Vaccine: A Qualitative Explanation

    Laxman Bokati, Julio Urenda, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-15 in pdf
  • Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout

    Francisco Zapata, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-14 in pdf | UTEP-CS-21-14a in pdf
  • What Is the Logic Behind Cistercian Numbers?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-13 in pdf
  • Can Ideas Behind Ancient Egyptian Fractions Speed up Modern Computers?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-12 in pdf
  • How to Gauge Reliability of a Binary Classification Result: A Simple Case

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-11 in pdf
  • Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-10 in pdf | UTEP-CS-21-10b in pdf
  • Tents of Israel Revisited: Audio Privacy

    Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-09 in pdf
  • How To Guarantee Fairness Of Grading Without Sacrificing Privacy?

    Vladik Kreinovich, Olga Kosheleva, and Christian Servin

    link to abstract | UTEP-CS-21-08 in pdf
  • When to Stop Computing and Start Investing

    Sean R. Aguilar and Olga Kosheleva

    link to abstract | UTEP-CS-21-07 in pdf
  • Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation

    Julio Urenda, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-06 in pdf
  • How Much For a Set: General Case of Decision Making Under Set-Valued Uncertainty

    Laxman Bokati, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-05 in pdf | UTEP-CS-21-05b in pdf
  • Scale-Invariant Functions: Theoretical Explanation of Empirical Marchenko-Pastur-Type Distributions

    Vladik Kreinovich, Kevin Alvarez, and Chon Van Le

    link to abstract | UTEP-CS-21-04 in pdf
  • Why Question-Based Reasoning Leads to Constructive Approach to Knowledge

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-21-03 in pdf
  • Why Gradient Descent -- Not the Best Optimization Technique -- Works Best in Neural Networks: Qualitative Explanation

    Jonatan Contreras, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-02 in pdf
  • How to Estimate Time Needed for Software Migration

    Francisco Zapata, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-21-01 in pdf