!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> Technical Reports | Computer Science | UTEP

CS Technical Reports

The file that you are reading contains the list of our 2020 reports. Links from this list lead to pdf files. Lists of reports from the previous years can be found by clicking on:

  • Let Us Use Negative Examples in Regression-Type Problems Too

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

    link to abstract | UTEP-CS-20-76 in pdf
  • Why Quadratic Log-Log Dependence Is Ubiquitous And What Next

    Sean R. Aguilar, Vladik Kreinovich, and Uyen Pham

    link to abstract | UTEP-CS-20-75 in pdf
  • How Can Econometrics Help Fight the COVID'19 Pandemic?

    Kevin Alvarez and Vladik Kreinovich

    link to abstract | UTEP-CS-20-74 in pdf
  • Gifted and Talented: With Others? Separately? Mathematical Analysis of the Problem

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-73 in pdf
  • A Fully Lexicographic Extension of Min or Max Operation Cannot Be Associative

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-72 in pdf
  • What Is the Optimal Annealing Schedule in Quantum Annealing

    Oscar Galindo and Vladik Kreinovich

    link to abstract | UTEP-CS-20-71 in pdf
  • Lexicographic-Type Extension of Min-Max Logic Is Not Uniquely Determined

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-70 in pdf
  • How to Train A-to-B and B-to-A Neural Networks So That the Resulting Transformations Are (Almost) Exact Inverses

    Paravee Maneejuk, Torben Peters, Claus Brenner, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-69 in pdf
  • Why LASSO, Ridge Regression, and EN: Explanation Based on Soft Computing

    Woraphon Yamaka, Hamza Alkhatib, Ingo Neumann, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-68 in pdf
  • When Can We Be Sure that Measurement Results Are Consistent: 1-D Interval Case and Beyond

    Hani Dbouk, Steffen Schoen, Ingo Neumann, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-67 in pdf
  • Which Classes of Bi-Intervals Are Closed Under Addition?

    Olga Kosheleva, Vladik Kreinovich, and Jonatan Contreras

    link to abstract | UTEP-CS-20-66 in pdf
  • Preference for Boys Does Not Necessarily Lead to a Gender Disbalance: A Realistic Example

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-65 in pdf
  • Common-Sense-Based Theoretical Explanation for an Empirical Formula Estimating Road Quality

    Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich

    link to abstract | UTEP-CS-20-64 in pdf
  • Healthy Lifestyle Decreases the Risk of Alzheimer Disease: A Possible Partial Explanation of an Empirical Dependence

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-63 in pdf
  • What If Not All Interval-Valued Fuzzy Degrees Are Possible?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-62 in pdf
  • Decision Making Under Interval Uncertainty Revisited

    Olga Kosheleva, Vladik Kreinovich, and Uyen Pham

    link to abstract | UTEP-CS-20-61 in pdf
  • Are There Traces of Megacomputing in Our Universe

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-60 in pdf
  • How to Detect Future Einsteins: Towards Systems Approach

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-59 in pdf
  • Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations

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

    link to abstract | UTEP-CS-20-58 in pdf
  • How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples

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

    link to abstract | UTEP-CS-20-57 in pdf
  • Approximate Version of Interval Computation Is Still NP-Hard

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-20-56 in pdf
  • Online Teaching -- Systems Approach: Questions and Answers

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-55 in pdf
  • Advice to New Instructors: Systems Approach

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-54 in pdf
  • Neural Networks

    Vladik Kreinovich

    link to abstract | UTEP-CS-20-53 in pdf
  • How Expert Knowledge Can Help Measurements: Three Case Studies

    Vladik Kreinovich

    link to abstract | UTEP-CS-20-52 in pdf
  • Formal Concept Analysis Techniques Can Help in Intelligent Control, Deep Learning, etc.

    Vladik Kreinovich

    link to abstract | UTEP-CS-20-51 in pdf
  • Why Most Empirical Distributions Are Few-Modal

    Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-50 in pdf
  • How to Estimate the Stiffness of the Multi-Layer Road Based on Properties of Layers: Symmetry-Based Explanation for Odemark's Equation

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

    link to abstract | UTEP-CS-20-49 in pdf
  • Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing

    Isaac Bautista, Vladik Kreinovich, Olga Kosheleva, and Hoang Phuong Nguyen

    link to abstract | UTEP-CS-20-48 in pdf
  • Why Some Powers Laws Are Possible And Some Are Not

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

    link to abstract | UTEP-CS-20-47 in pdf
  • Optimization under Fuzzy Constraints: Need to Go Beyond Bellman-Zadeh Approach and How It Is Related to Skewed Distributions

    Olga Kosheleva, Vladik Kreinovich, and Hoang Phuong Nguyen

    link to abstract | UTEP-CS-20-46 in pdf
  • Absence of Remotely Triggered Large Earthquakes: A Geometric Explanation

    Laxman Bokati, Aaron Velasco, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-45 in pdf
  • How to Efficiently Store Intermediate Results in Quantum Computing: Theoretical Explanation of the Current Algorithm

    Oscar Galindo, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-44 in pdf
  • Economics of Reciprocity and Temptation

    Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, and Nguyen Ngoc Thach

    link to abstract | UTEP-CS-20-43 in pdf
  • Towards Fast and Understandable Computations: Which "And"- and "Or"-Operations Can Be Represented by the Fastest (i.e., 1-Layer) Neural Networks? Which Activations Functions Allow Such Representations?

    Kevin Alvarez, Julio C. Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Gyorgy Eigner, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-42 in pdf
  • How the Proportion of People Who Agree to Perform a Task Depends on the Stimulus: A Theoretical Explanation of the Empirical Formula

    Laxman Bokati, Vladik Kreinovich, and Doan Thanh Ha

    link to abstract | UTEP-CS-20-41 in pdf
  • Reward for Good Performance Works Better Than Punishment for Mistakes: Economic Explanation

    Olga Kosheleva, Julio Urenda, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-40 in pdf
  • Commonsense Explanations of Sparsity, Zipf Law, and Nash's Bargaining Solution

    Olga Kosheleva, Vladik Kreinovich, and Kittawit Autchariyapanikul

    link to abstract | UTEP-CS-20-39 in pdf
  • A Recent Result about Random Metrics Explains Why All of Us Have Similar Learning Potential

    Christian Servin, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-38 in pdf
  • How to Explain the Anchoring Formula in Behavioral Economics

    Laxman Bokati, Vladik Krenovich, and Chon Van Le

    link to abstract | UTEP-CS-20-37 in pdf
  • A "Fuzzy" Like Button Can Decrease Echo Chamber Effect

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-36 in pdf
  • Why Geometric Progression in Selecting the LASSO Parameter: A Theoretical Explanation

    William Kubin, Yi Xie, Laxman Bokati, Vladik Kreinovich, and Kittawit Autchariyapanitkul

    link to abstract | UTEP-CS-20-35 in pdf
  • Why There Are Only Four Fundamental Forces: A Possible Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-34 in pdf
  • Scale-Invariance Ideas Explain the Empirical Soil-Water Characteristic Curve

    Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich

    link to abstract | UTEP-CS-20-33 in pdf
  • Optimal Search under Constraints

    Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-32 in pdf
  • Equations for Which Newton's Method Never Works: Pedagogical Examples

    Leobardo Valera, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-31 in pdf
  • Centroids Beyond Defuzzification

    Juan Carlos Figueroa–Garcia, Christian Servin, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-30 in pdf
  • Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-29 in pdf
  • Is There a Contradiction Between Statistics and Fairness: From Intelligent Control to Explainable AI

    Christian Servin and Vladik Kreinovich

    link to abstract | UTEP-CS-20-28 in pdf
  • Why Linear Expressions in Discounting and in Empathy: A Symmetry-Based Explanation

    Supanika Leurcharusmee, Laxman Bokati, and Olga Kosheleva

    link to abstract | UTEP-CS-20-27 in pdf
  • Why Class-D Audio Amplifiers Work Well: A Theoretical Explanation

    Kevin Alvarez, Julio C. Urenda, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-26 in pdf
  • Why Black-Scholes Equations Are Effective Beyond Their Usual Assumptions: Symmetry-Based Explanation

    Warattaya Chinnakum and Sean R. Aguilar

    link to abstract | UTEP-CS-20-25 in pdf
  • Scale-Invariance and Fuzzy Techniques Explain the Empirical Success of Inverse Distance Weighting and of Dual Inverse Distance Weighting in Geosciences

    Laxman Bokati, Aaron Velasco, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-24 in pdf
  • Decision Making Under Interval Uncertainty: Towards (Somewhat) More Convincing Justifications for Hurwicz Optimism-Pessimism Approach

    Warattaya Chinnakum, Laura Berrout Ramos, Olugbenga Iyiola, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-23 in pdf
  • Which Are the Correct Membership Functions? Correct "And"- and "Or"- Operations? Correct Defuzzification Procedure?

    Olga Kosheleva, Vladik Kreinovich, and Shahnaz Shahbazova

    link to abstract | UTEP-CS-20-22 in pdf
  • Theoretical Explanation of Recent Empirically Successful Code Quality Metrics

    Vladik Kreinovich, Omar A.~Masmali, Hoang Phuong Nguyen, and Omar Badreddin

    link to abstract | UTEP-CS-20-21 in pdf
  • How to Combine (Dis)Utilities of Different Aspects into a Single (Dis)Utility Value, and How This Is Related to Geometric Images of Happiness

    Laxman Bokati, Hoang Phuong Nguyen, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-20 in pdf
  • How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: a Neural Approach

    Olga Kosheleva, Vladik Kreinovich, and Hoang Phuong Nguyen

    link to abstract | UTEP-CS-20-19 in pdf
  • Quantum (and More General) Models of Research Collaboration

    Oscar Galindo, Miroslav Svitek, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-18 in pdf
  • Towards a Theoretical Explanation of How Pavement Condition Index Deteriorates over Time

    Edgar Daniel Rodriguez Velasquez and and Vladik Kreinovich

    link to abstract | UTEP-CS-20-17 in pdf
  • New (Simplified) Derivation of Nash's Bargaining Solution

    Hoang Phuong Nguyen, Laxman Bokati, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-16 in pdf
  • Towards Making Fuzzy Techniques More Adequate for Combining Knowledge of Several Experts

    Hoang Phuong Nguyen and Vladik Kreinovich

    link to abstract | UTEP-CS-20-15 in pdf
  • Why Mean, Variance, Moments, Correlation, Skewness etc. – Invariance-Based Explanations

    Olga Kosheleva, Laxman Bokati, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-14 in pdf
  • How Quantum Cryptography and Quantum Computing Can Make Cyber-Physical Systems More Secure

    Deepak Tosh, Oscar Galindo, Vladik Kreinovich, and Olga Kosheleva

    link to abstract | UTEP-CS-20-13 in pdf | UTEP-CS-20-13d in pdf
  • Why Squashing Functions in Multi-Layer Neural Networks

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

    link to abstract | UTEP-CS-20-12 in pdf
  • Predictably (Boundedly) Rational: Examples of Seemingly Irrational Behavior Can Be Quantitatively Explained by Bounded Rationality

    Laxman Bokati, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-11 in pdf
  • How to Gauge the Quality of a Testing Method When Ground Truth Is Known with Uncertainty

    Nicolas Gray, Scott Ferson, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-10 in pdf
  • Fusion of Probabilistic Knowledge as Foundation for Sliced-Normal Approach

    Michael Beer, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-09 in pdf
  • Strength of Lime Stabilized Pavement Materials: Possible Theoretical Explanation of Empirical Dependencies

    Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich

    link to abstract | UTEP-CS-20-08 in pdf
  • Why Ellipsoids in Mechanical Analysis of Wood Structures

    F. Niklas Schietzold, Julio Urenda, Vladik Kreinovich, Wolfgang Graf, and Michael Kaliske

    link to abstract | UTEP-CS-20-07 in pdf
  • Can We Preserve Physically Meaningful "Macro" Analyticity without Requiring Physically Meaningless "Micro" Analyticity?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-06 in pdf
  • Several Years of Practice May Not Be As Good as Comprehensive Training: Zipf's Law Explains Why

    Francisco Zapata, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-05 in pdf
  • A Mystery of Human Biological Development -- Can It Be Used to Speed up Computations?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-04 in pdf
  • Need for Simplicity and Everything Is a Matter of Degree: How Zadeh's Philosophy is Related to Kolmogorov Complexity, Quantum Physics, and Deep Learning

    Vladik Kreinovich, Olga Kosheleva, and Andres Ortiz-Munoz

    link to abstract | UTEP-CS-20-03a in pdf
  • Physical Randomness Can Help in Computations

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-02 in pdf
  • Why Immediate Repetition Is Good for Short-Term Learning Results but Bad For Long-Term Learning: Explanation Based on Decision Theory

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

    link to abstract | UTEP-CS-20-01 in pdf