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CS Technical Reports

The file that you are reading contains the list of our 2022 reports. Links from this list lead to pdf files. Lists of reports from the previous years can be found by clicking on:

  • Why Sigmoid Transformation Helps Incorporate Logic Into Deep Learning: A Theoretical Explanation

    Chitta Baral and Vladik Kreinovich

    link to abstract | UTEP-CS-23-71 in pdf
  • If We Add Axiom of Choice to Constructive Analysis, We Get Classical Arithmetic: An Exercise in Reverse Constructive Mathematics

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-23-70 in pdf
  • When Is a Single "And"-Condition Enough?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-23-69 in pdf
  • Smooth Non-Additive Integrals and Measures and Their Potential Applications

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-23-68 in pdf
  • Every ReLU-Based Neural Network Can Be Described by a System of Takagi-Sugeno Fuzzy Rules: A Theorem

    Barnabas Bede, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-67 in pdf
  • Uncertainty Quantification for Results of AI-Based Data Processing: Towards More Feasible Algorithms

    Christoph Q. Lauter, Martine Ceberio, Vladik Kreinovich, and Olga M. Kosheleva

    link to abstract | UTEP-CS-23-66 in pdf | UTEP-CS-23-66a in pdf
  • How to Efficiently Propagate P-Box Uncertainty

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-23-65 in pdf
  • Which Random-Set Representation of a Fuzzy Set Is the Simplest?

    Vladik Kreinovich, Olga Kosheleva, and Hung T. Nguyen

    link to abstract | UTEP-CS-23-64 in pdf
  • Giant Footprints of Buddha and Generalized Limits

    Julio C. Urenda and Vladik Kreinovich

    link to abstract | UTEP-CS-23-63 in pdf
  • From Type-2 Fuzzy to Type-2 Intervals and Type-2 Probabilities

    Vladik Kreinovich, Olga Kosheleva, and Luc Longpre

    link to abstract | UTEP-CS-23-62 in pdf
  • Usually, Either Left and Right Brains Are Equally Active or Only One of Them Is Active: First-Principles Explanation

    Julio C. Urenda and Vladik Kreinovich

    link to abstract | UTEP-CS-23-61 in pdf
  • From Fuzzy to Mobile Fuzzy

    Victor L. Timchenko, Yuriy P. Kondratenko, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-60 in pdf | UTEP-CS-23-60b in pdf
  • Just-in-Accuracy: Mobile Approach to Uncertainty

    Martine Ceberio, Christoph Lauter, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-59 in pdf | UTEP-CS-23-59a in pdf
  • Approximate Stochastic Dominance Revisited

    Chon Van Le, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-58 in pdf
  • How to Make Machine Learning Financial Recommendations More Fair: Theoretical Explanation

    Tho M. Nguyen, Saeid Tizpaz-Niari, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-57 in pdf
  • Local-Global Support for Earth Sciences: Economic Analysis

    Uyen Hoang Pham, Aaron Velasco, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-56 in pdf
  • Why Micro-Funding? Why Small Businesses Are Important? Analysis Based on First Principles

    Hien D. Tran, Edwin Tomy George, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-55 in pdf
  • How to Deal with Inconsistent Intervals: Utility-Based Approach Can Overcome the Limitations of the Purely Probability-Based Approach

    Kittawit Autchariyapanitkul, Tomoe Entani, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-54 in pdf
  • Linear Regression under Partial Information

    Tho M. Nguyen, Saeid Tizpaz-Niari, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-53 in pdf
  • When Is It Beneficial to Merge Two Companies? When Is it Beneficial to Start a Research Collaboration?

    Miroslav Svitek, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-52 in pdf
  • If Everything is a Matter of Degree, Why Do Crisp Techniques Often Work Better?

    Miroslav Svitek, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-51 in pdf
  • How to Select A Model If We Know Probabilities with Interval Uncertainty

    Vladik Kreinovich

    link to abstract | UTEP-CS-23-50 in pdf
  • Algebraic Product Is the Only "And-Like"-Operation for Which Normalized Intersection Is Associative: A Proof

    Thierry Denoeux and Vladik Kreinovich

    link to abstract | UTEP-CS-23-49a in pdf
  • Why Attitudes Are Usually Mutual: A Possible Mathematical Explanation

    Julio C. Urenda and Vladik Kreinovich

    link to abstract | UTEP-CS-23-48 in pdf
  • Towards a Psychologically Natural Relation Between Colors and Fuzzy Degrees

    Victor L. Timchenko, Yuriy P. Kondratenko, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong

    link to abstract | UTEP-CS-23-47 in pdf
  • Industry-Academia Collaboration: Main Challenges and What Can We Do

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-23-46 in pdf
  • Why Unit Two-Variable-Per-Inequality (UTVPI) Constraints Are So Efficient to Handle: Intuitive Explanation

    Saeid Tizpaz-Niari, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-45 in pdf
  • Topological Explanation of Why Complex Numbers Are Needed in Quantum Physics

    Julio C. Urenda and Vladik Kreinovich

    link to abstract | UTEP-CS-23-44 in pdf
  • What Was More Frequently Used -- "And" or "Or": Based on Analysis of European Languages

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-23-43 in pdf
  • How to Best Retrain a Neural Network If We Added One More Input Variable

    Saeid Tizpaz-Niari and Vladik Kreinovich

    link to abstract | UTEP-CS-23-42 in pdf
  • We Can Always Reduce a Non-Linear Dynamical System to Linear -- at Least Locally -- But Does It Help?

    Orsolya Csiszar, Gabor Csiszar, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong

    link to abstract | UTEP-CS-23-41 in pdf
  • Why Bump Reward Function Works Well In Training Insulin Delivery Systems

    Lehel Denes-Fazakas, Laszlo Szilagyi, Gyorgy Eigner, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong

    link to abstract | UTEP-CS-23-40 in pdf
  • How to Estimate Unknown Unknowns: From Cosmic Light to Election Polls

    Talha Azfar, Vignesh Ponraj, Vladik Kreinovich, and Nguyen Hoang Phuong

    link to abstract | UTEP-CS-23-39 in pdf
  • Why Resilient Modulus Is Proportional to the Square Root of Unconfined Compressive Strength (UCS): A Qualitative Explanation

    Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich

    link to abstract | UTEP-CS-23-38 in pdf
  • Complex Numbers Explain Why in Chinese Tradition, 4 Is Bad But 8 Is Good

    Luc Longpre, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-37 in pdf
  • Methodological Lesson of Pythagorean Triples

    Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-36 in pdf
  • Why Deep Learning Is Under-Determined? Why Usual Numerical Methods for Solving Partial Differential Equations Do Not Preserve Energy? The Answers May Be Related to Chevalley-Warning Theorem (and Thus to Fermat Last Theorem)

    Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-35 in pdf
  • Why 6-Labels Uncertainty Scale in Geosciences: Probability-Based Explanation

    Aaron Velasco, Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-34 in pdf
  • Fuzzy Mathematics under Non-Minimal "And"-Operations (t-Norms): Equivalence leads to Metric, Order Leads to Kinematic Metric, Topology Leads to Area or Volume

    Purbita Jana, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-33 in pdf
  • Fuzzy Techniques Explain the Effectiveness of ReLU Activation Function in Deep Learning

    Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-32 in pdf
  • How to Combine Probabilistic and Fuzzy Uncertainty: Theoretical Explanation of Clustering-Related Empirical Result

    Laszlo Szilagyi, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-31 in pdf
  • Which Fuzzy Implications Operations Are Polynomial? A Theorem Proves That This Can Be Determined by a Finite Set of Inequalities

    Sebastia Massanet, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-30 in pdf
  • How to Make Decision Under Interval Uncertainty: Description of All Reasonable Partial Orders on the Set of All Intervals

    Tiago M. Costa, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-29 in pdf | UTEP-CS-23-29a in pdf
  • How to Propagate Interval (and Fuzzy) Uncertainty: Optimism-Pessimism Approach

    Vinicius F. Wasques, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-28 in pdf
  • Dialogs Re-enacted Across Languages, Version 2

    Nigel G. Ward, Jonathan E. Avila, Emilia Rivas, and Divette Marco

    link to abstract | UTEP-CS-23-27 in pdf
  • Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation

    Orsolya Csiszar, Gabor Csiszar, Olga Kosheleva, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-26 in pdf | UTEP-CS-23-26a in pdf
  • Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation

    Lehel Denes-Fazakas, Laszlo Szilagyi, Gyorgy Eigner, Olga Kosheleva, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-25 in pdf | UTEP-CS-23-25a in pdf
  • Selecting the Most Adequate Fuzzy Operation for Explainable AI: Empirical Fact and Its Possible Theoretical Explanation

    Orsolya Csiszar, Gabor Csiszar, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-24 in pdf
  • Why Softmax? Because It Is the Only Consistent Approach to Probability-Based Classification

    Anatole Lokshin, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-23 in pdf
  • Is Fully Explainable AI Even Possible: Fuzzy-Based Analysis

    Miroslav Svitek, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-22 in pdf | UTEP-CS-23-22a in pdf
  • Fast -- Asymptotically Optimal -- Methods for Determining the Optimal Number of Features

    Saeid Tizpaz-Niari, Luc Longpre, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-21 in pdf | UTEP-CS-23-21a in pdf
  • Logical Inference Inevitably Appears: Fuzzy-Based Explanation

    Julio Urenda, Olga Kosheleva, Vladik Kreinovich, and Orsolya Csiszar

    link to abstract | UTEP-CS-23-20 in pdf | UTEP-CS-23-20a in pdf
  • Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? A General Explanation

    Edgar Daniel Rodriguez Velasquez, Aaron Velasco, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-19 in pdf | UTEP-CS-23-19a in pdf
  • Natural Color Interpretation of Interval-Valued Fuzzy Degrees

    Victor L. Timchenko, Yury P. Kondratenko, Vladik Kreinovich, and Olga Kosheleva

    link to abstract | UTEP-CS-23-18 in pdf | UTEP-CS-23-18a in pdf
  • How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance

    Palvi Aggarwal, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-17 in pdf
  • What Do Goedel's Theorem and Arrow's Theorem Have in Common: A Possible Answer to Arrow's Question

    Miroslav Svitek, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-16 in pdf
  • High-Impact Low-Probability Events Are Even More Important Than It Is Usually Assumed

    Aaron Velasco, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-15 in pdf
  • Wormholes, Superfast Computations, and Selivanov's Theorem

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-23-14 in pdf
  • People Prefer More Information About Uncertainty, But Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon

    Jieqiong Zhao, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-13 in pdf
  • Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory

    Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-12 in pdf
  • Conflict Situations Are Inevitable When There Are Many Participants: A Proof Based on the Analysis of Aumann-Shapley Value

    Sofia Holguin and Vladik Kreinovich

    link to abstract | UTEP-CS-23-11 in pdf
  • Towards Decision Making Under Interval Uncertainty

    Juan A. Lopez and Vladik Kreinovich

    link to abstract | UTEP-CS-23-10 in pdf
  • Foundations of Neural Networks Explain the Empirical Success of the "Surrogate" Approach to Ordinal Regression -- and Recommend What Next

    Salvador Robles Herrera, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-09 in pdf
  • Why Gliding Symmetry Used to Be Prevalent in Biology But Practically Disappeared

    Julio C. Urenda and Vladik Kreinovich

    link to abstract | UTEP-CS-23-08 in pdf
  • The World Is Cognizable: An Argument Based on Hoermander's Theorem

    Miroslav Svitek, Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-23-07 in pdf
  • Everything Is a Matter of Degree: The Main Idea Behind Fuzzy Logic Is Useful in Geosciences and in Authorship

    Christian Servin, Aaron Velasco, Edgar Daniel Rodriguez Velasquez, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-06 in pdf | UTEP-CS-23-06a in pdf
  • Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology

    Cliff Joslyn, Andres Ortiz-Munoz, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-05 in pdf | UTEP-CS-23-05a in pdf
  • SUCCESS (Studying Underlying Characteristics of Computing and Engineering Student Success) Survey: Non-Cognitive and Affective Profiles in Engineering and Computing Students at UTEP (2018-2022)

    Sanga Kim, Christian Teran Lopez, Andres Segura, and Gabriel Miki

    link to abstract | UTEP-CS-23-04 in pdf
  • Interval-Valued and Set-Valued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing

    Victor L. Timchenko, Yury P. Kondratenko, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-03 in pdf | UTEP-CS-23-03a in pdf
  • Why Fractional Fuzzy

    Mehran Mazandarani, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-23-02 in pdf | UTEP-CS-23-02a in pdf
  • Designing an Optimal Medicine Cocktail Is NP-Hard

    Luc Longpre and Vladik Kreinovich

    link to abstract | UTEP-CS-23-01 in pdf