CS Technical Reports
The file that you are reading contains the list of our 2018 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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Symmetries Are Important
Vladik Kreinovich
link to abstract | UTEP-CS-18-78 in pdf -
Should School Feel Like a Family: Lessons from Business Controversy as Interpreted by Decision Making Theory
Olga Kosheleva, Julian Viera, and Vladik Kreinovich
link to abstract | UTEP-CS-18-77 in pdf -
From Gig Economy to Gig Education
Olga Kosheleva, Julian Viera, and Vladik Kreinovich
link to abstract | UTEP-CS-18-76 in pdf -
Psychological Behavior of English Learners Utilizing a Cognitive Tutor in an Online Pre-Calculus
Julian Viera Jr., Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-75 in pdf -
Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification
Christian Servin, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-74 in pdf -
How to Describe Correlation in the Interval Case?
Carlos Jimenez, Francisco Zapata, and Vladik Kreinovich
link to abstract | UTEP-CS-18-73 in pdf -
Experimental Determination of Mechanical Properties Is, In General, NP-Hard -- Unless We Measure Everything
Yan Wang, Oscar Galindo, Michael Baca, Jake Lasley, and Vladik Kreinovich
link to abstract | UTEP-CS-18-72 in pdf -
All Maximally Complex Problems Allow Simplifying Divide-and-Conquer Approach: Intuitive Explanation of a Somewhat Counterintuitive Ladner's Result
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-18-71 in pdf -
In the Discrete Case, Averaging Cannot Be Consistent
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-18-70 in pdf -
Preferences (Partial Pre-Orders) on Complex Numbers -- in View of Possible Use in Quantum Econometrics
Songsak Sriboonchitta, Vladik Kreinovich, and Olga Kosheleva
link to abstract | UTEP-CS-18-69 in pdf -
Comparing US and Russian Grading Scales
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-18-68 in pdf -
Need to Combine Interval and Probabilistic Uncertainty: What Needs to Be Computed, What Can Be Computed, What Can Be Feasibly Computed, and How Physics Can Help
Songsak Sriboonchitta, Thach Ngoc Nguyen, Vladik Kreinovich, and Hung T. Nguyen
link to abstract | UTEP-CS-18-67 in pdf -
Towards Parallel Quantum Computing: Standard Quantum Teleportation Algorithm Is, in Some Reasonable Sense, Unique
Oscar Galindo, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-66 in pdf -
Why Max and Average Poolings are Optimal in Convolutional Neural Networks
Ahnaf Farhan, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-65 in pdf -
A Symmetry-Based Explanation of the Main Idea Behind Chubanov's Linear Programming Algorithm
Olga Kosheleva, Vladik Kreinovich, and Thongchai Dumrongpokaphan
link to abstract | UTEP-CS-18-64 in pdf -
Why Bohmian Approach to Quantum Econometrics: An Algebraic Explanation
Vladik Kreinovich, Olga Kosheleva, and Songsak Sriboonchitta
link to abstract | UTEP-CS-18-63 in pdf -
Decision Making Under Interval Uncertainty: Beyond Hurwicz Pessimism-Optimism Criterion
Tran Anh Tuan, Vladik Kreinovich, and Thach Ngoc Nguyen
link to abstract | UTEP-CS-18-62 in pdf -
How to Select the Best Paper: Towards Justification (and Possible Enhancement) of Current Semi-Heuristic Procedures
Francisco Zapata, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-61 in pdf -
Which Fuzzy Logic Operations Are Most Appropriate for Ontological Semantics: Theoretical Explanation of Empirical Observations
Vladik Kreinovich and Olga Kosheleva
link to abstract | UTEP-CS-18-60 in pdf -
Why Triangular and Trapezoid Membership Functions: A Simple Explanation
Vladik Kreinovich, Olga Kosheleva, and Shahnaz Shabazova
link to abstract | UTEP-CS-18-59 in pdf -
Asset-Based Teaching and Learning with Diverse Learners in Postsecondary Settings
Erika Mein
link to abstract | UTEP-CS-18-58 in pdf -
Why Triangular and Trapezoid Membership Functions Are Efficient in Design Applications
Afshin Gholamy, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-57 in pdf -
Summation of Divergent Infinite Series: How Natural Are the Current Tricks
Mourat Tchoshanov, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-56 in pdf -
Why STEM?
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-18-55 in pdf -
A Turing Machine Is Just a Finite Automaton with Two Stacks: A Comment on Teaching Theory of Computation
Vladik Kreinovich and Olga Kosheleva
link to abstract | UTEP-CS-18-54 in pdf -
Composing a Cross-platform Development Environment Using Maven
Terry J. Speicher and Yoonsik Cheon
link to abstract | UTEP-CS-18-53 in PDF -
Optimization under Fuzzy Constraints: From a Heuristic Algorithm to an Algorithm That Always Converges
Vladik Kreinovich and Juan Carlos Figueroa-Garcia
link to abstract | UTEP-CS-18-52 in pdf -
Measurement-Type "Calibration" of Expert Estimates Improves Their Accuracy and Their Usability: Pavement Engineering Case Study
Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, and Vladik Kreinovich
link to abstract | UTEP-CS-18-51 in pdf | UTEP-CS-18-51a in pdf -
Current Quantum Cryptography Algorithm Is Optimal: A Proof
Oscar Galindo, Vladik Kreinovich, and Olga Kosheleva
link to abstract | UTEP-CS-18-50 in pdf | UTEP-CS-18-50a in pdf -
Algorithmic Need for Subcopulas
Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich, and Hoang Phuong Nguyen
link to abstract | UTEP-CS-18-49 in pdf -
Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data
Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich, and Hoang Phuong Nguyen
link to abstract | UTEP-CS-18-48 in pdf -
Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics
Songsak Sriboonchitta, Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, and Thach Ngoc Nguyen
link to abstract | UTEP-CS-18-47 in pdf -
Why Quantum (Wave Probability) Models Are a Good Description of Many Non-Quantum Complex Systems, and How to Go Beyond Quantum Models
Miroslav Svitek, Olga Kosheleva, Vladik Kreinovich, and Thach Ngoc Nguyen
link to abstract | UTEP-CS-18-46 in pdf -
Why Hammerstein-Type Block Models Are So Efficient: Case Study of Financial Econometrics
Thongchai Dumrongpokaphan, Afshin Gholamy, Vladik Kreinovich, and Hoang Phuong Nguyen
link to abstract | UTEP-CS-18-45 in pdf -
Why the Best Predictive Models Are Often Different from the Best Explanatory Models: A Theoretical Explanation
Songsak Sriboonchitta, Luc Longpre, Vladik Kreinovich, and Thongchai Dumrongpokaphan
link to abstract | UTEP-CS-18-44 in pdf -
How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications
Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Thach Ngoc Nguyen, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-43 in pdf -
Why Threshold Models: A Theoretical Explanation
Thongchai Dumrongpokaphan, Vladik Kreinovich, and Songsak Sriboonchitta
link to abstract | UTEP-CS-18-42 in pdf -
Qualitative conditioning in an interval-based possibilistic setting
Salem Benferhat, Vladik Kreinovich, Amelie Levray, and Karim Tabia
link to abstract -
Why Bellman-Zadeh Approach to Fuzzy Optimization
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-18-40 in pdf -
How Interval Measurement Uncertainty Affects the Results of Data Processing: A Calculus-Based Approach to Computing the Range of a Box
Andrew Pownuk and Vladik Kreinovich
link to abstract | UTEP-CS-18-39 in pdf -
Soft Computing Ideas Can Help Earthquake Geophysics
Solymar Ayala, Aaron Velasco, and Vladik Kreinovich
link to abstract | UTEP-CS-18-38 in pdf | UTEP-CS-18-38a in pdf -
Fuzzy Ideas Explain a Complex Heuristic Algorithm for Gauging Pavement Conditions
Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, and Vladik Kreinovch
link to abstract | UTEP-CS-18-37 in pdf | UTEP-CS-18-37a in pdf -
Analysis of Prosody Around Turn Starts
Gerardo Cervantes and Nigel G. Ward
link to abstract | UTEP-CS-18-36 in pdf -
When Is Propagation of Interval and Fuzzy Uncertainty Feasible?
Vladik Kreinovich, Andrew M. Pownuk, Olga Kosheleva, and Aleksandra Belina
link to abstract | UTEP-CS-18-35 in pdf | UTEP-CS-18-35a in pdf -
What Is the Economically Optimal Way to Guarantee Interval Bounds on Control?
Alfredo Vaccaro, Martine Ceberio, and Vladik Kreinovich
link to abstract | UTEP-CS-18-34 in pdf | UTEP-CS-18-34a in pdf -
Economics of Commitment: Why Giving Away Some Freedom Makes Sense
Vladik Kreinovich, Olga Kosheleva, Mahdokht Afravi, Genesis Bejarano, and Marisol Chacon
link to abstract | UTEP-CS-18-33 in pdf -
Why Under Stress Positive Reinforcement Is More Effective? Why Optimists Study Better? Why People Become Restless? Simple Utility-Based Explanations
Francisco Zapata, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-32 in pdf -
Towards Foundations of Interval and Fuzzy Uncertainty
Mahdokht Afravi, Kehinde Akinola, Fredrick Ayivor, Ramon Bustamante, Erick Duarte, Ahnaf Farhan, Martha Garcia, Govinda K.C., Jeffrey Hope, Olga Kosheleva, Vladik Kreinovich, Jose Perez, Francisco Rodriguez, Christian Servin, Eric Torres, and Jesus Tovar
link to abstract | UTEP-CS-18-31 in pdf -
Why Asset-Based Approach to Teaching Is More Effective than the Usual Deficit-Based Approach, and Why The New Approach Is Not Easy to Implement: A Simple Geometric Explanation
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-18-30 in pdf -
Why Encubation?
Vladik Kreinovich, Rohan Baingolkar, Swapnil S. Chauhan, and Ishtjot S. Kamboj
link to abstract | UTEP-CS-18-29 in pdf -
Gartner's Hype Cycle: A Simple Explanation
Jose Perez and Vladik Kreinovich
link to abstract | UTEP-CS-18-28 in pdf -
Why Zipf's Law: A Symmetry-Based Explanation
Daniel Cervantes, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-27 in pdf -
Working on One Part at a Time is the Best Strategy for Software Production: A Proof
Francisco Zapata, Malileh Zargaran, and Vladik Kreinovich
link to abstract | UTEP-CS-18-26 in pdf -
Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees
Christian Servin and Vladik Kreinovich
link to abstract | UTEP-CS-18-25 in pdf -
How to Gauge Repair Risk?
Francisco Zapata and Vladik Kreinovich
link to abstract | UTEP-CS-18-24 in pdf -
How Intelligence Community Interprets Imprecise Evaluative Linguistic Expressions, and How to Justify This Empirical-Based Interpretation
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-18-23 in pdf | UTEP-CS-18-23a in pdf -
How to Explain Empirical Distribution of Software Defects by Severity
Francisco Zapata, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-22 in pdf | UTEP-CS-18-22a in pdf -
How to Explain the Results of the Richard Thaler's 1997 Financial Times Contest
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-18-21 in pdf -
Why Superforecasters Change Their Estimates on Average by 3.5%: A Possible Theoretical Explanation
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-18-20 in pdf -
Virtual Agent Interaction Framework (VAIF): A Tool for Rapid Development of Social Agents
Ivan Gris and David Novick
link to abstract | UTEP-CS-18-19 in pdf -
Reverse Mathematics Is Computable for Interval Computations
Martine Ceberio, Olga Kosheleva, and Vladik Vladik Kreinovich
link to abstract | UTEP-CS-18-18 in pdf -
Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable
Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-17 in pdf -
From Traditional Neural Networks to Deep Learning: Towards Mathematical Foundations of Empirical Successes
Vladik Kreinovich
link to abstract | UTEP-CS-18-16 in pdf -
How to Monitor Possible Side Effects of Enhanced Oil Recovery Process
Jose Manuel Dominguez Esquivel, Solymar Ayala Cortez, Aaron Velasco, and Vladik Kreinovich
link to abstract | UTEP-CS-18-15 in pdf -
Optimization of Quadratic Forms and t-norm Forms on Interval Domain and Computational Complexity
Milan Hladik, Michal Cerny, and Vladik Kreinovich
link to abstract | UTEP-CS-18-14 in pdf -
Which t-Norm Is Most Appropriate for Bellman-Zadeh Optimization
Vladik Kreinovich, Olga Kosheleva, and Shahnaz Shahbazova
link to abstract | UTEP-CS-18-13 in pdf -
When Is Data Processing Under Interval and Fuzzy Uncertainty Feasible: What If Few Inputs Interact? Does Feasibility Depend on How We Describe Interaction
Milan Hladik, Michal Cerny, and Vladik Kreinovich
link to abstract | UTEP-CS-18-12 in pdf -
Why Skew Normal: A Simple Pedagogical Explanation
Jose Guadalupe Flores Muniz, Vyacheslav V. Kalashnikov, Nataliya Kalashnykova, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-11 in pdf -
A New Kalman Filter Model for Nonlinear Systems Based on Ellipsoidal Bounding
Ligang Sun, Hamza Alkhatib, Boris Kargoll, Vladik Kreinovich, and Ingo Neumann
link to abstract | UTEP-CS-18-10 in pdf -
Why 70/30 or 80/20 Relation Between Training and Testing Sets: A Pedagogical Explanation
Afshin Gholamy, Vladik Kreinovich, and Olga Kosheleva
link to abstract | UTEP-CS-18-09 in pdf -
Why Learning Has Aha-Moments and Why We Should Also Reward Effort, Not Just Results
Gerardo Uranga, Vladik Kreinovich, and Olga Kosheleva
link to abstract | UTEP-CS-18-08 in pdf -
Why Burgers Equation: Symmetry-Based Approach
Leobardo Valera, Martine Ceberio, and Vladik Kreinovich
link to abstract | UTEP-CS-18-07 in pdf -
Lotfi Zadeh: a Pioneer in AI, a Pioneer in Statistical Analysis, a Pioneer in Foundations of Mathematics, and a True Citizen of the World
Vladik Kreinovich
link to abstract | UTEP-CS-18-06 in pdf -
Type-2 Fuzzy Analysis Explains Ubiquity of Triangular and Trapezoid Membership Functions
Olga Kosheleva, Vladik Kreinovich, and Shahnaz Shahbazova
link to abstract | UTEP-CS-18-05 in pdf -
How Many Monte-Carlo Simulations Are Needed to Adequately Process Interval Uncertainty: An Explanation of the Smart Electric Grid-Related Simulation Results
Afshin Gholamy and Vladik Kreinovich
link to abstract | UTEP-CS-18-04 in pdf -
Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-18-03 in pdf | UTEP-CS-18-03a in pdf -
How to Efficiently Compute Ranges Over a Difference Between Boxes, With Applications to Underwater Localization
Luc Jaulin, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-02 in pdf | UTEP-CS-18-02a in pdf -
How to Detect Crisp Sets Based on Subsethood Ordering of Normalized Fuzzy Sets? How to Detect Type-1 Sets Based on Subsethood Ordering of Normalized Interval-Valued Fuzzy Sets?
Christian Servin, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-18-01 in pdf | UTEP-CS-18-01a in pdf