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:
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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 -
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
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Just-in-Accuracy: Mobile Approach to Uncertainty
Martine Ceberio, Christoph Lauter, and Vladik Kreinovich
link to abstract | UTEP-CS-23-59 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, Laslo 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