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CS Technical Reports

The file that you are reading contains the list of our 2016 reports. Links from this list lead to pdf files. Lists of reports from the previous years can be found by clicking on:

  • Why Growth of Cancerous Tumors Is Gompertzian: A Symmetry-Based Explanation

    Pedro Barragan Olague and Vladik Kreinovich

    link to abstract | UTEP-CS-16-106 in pdf | UTEP-CS-16-106c in pdf
  • Grading that Takes into Account the Need to Learn from Mistakes

    Francisco Zapata, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-105 in pdf
  • Optimal Group Decision Making Criterion and How It Can Help to Decrease Poverty, Inequality, and Discrimination

    Vladik Kreinovich and Thongchai Dumrongpokaphoan

    link to abstract | UTEP-CS-16-104 in pdf
  • Fuzzy Techniques Explain Empirical Power Law Governing Wars and Terrorist Attacks

    Hung T. Nguyen, Kittawit Autchariyapanitkul, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-103 in pdf | UTEP-CS-16-103a in pdf
  • A Modification of Backpropagation Enables Neural Networks to Learn Preferences

    Martine Ceberio and Vladik Kreinovich

    link to abstract | UTEP-CS-16-102 in pdf
  • Fuzzy Data Processing Beyond Min t-Norm

    Andrzej Pownuk, Vladik Kreinovich, and Sonsgak Sriboonchitta

    link to abstract | UTEP-CS-16-101 in pdf
  • Specifying a Global Optimization Solver in Z

    Angel F. Garcia Contreras and Yoonsik Cheon

    link to abstract | UTEP-CS-16-100 in pdf
  • A Simple Geometric Explanation of Occam's Razor

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-99 in pdf
  • For Fuzzy Logic, Occam's Principle Explains the Ubiquity of the Golden Ratio and of the 80-20 Rule

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-98 in pdf
  • Why RSA? A Pedagogical Comment

    Pedro Barragan Olague, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-97 in pdf
  • What Is the Best Way to Add Large Number of Integers: Number-by-Number As Computers Do Or Lowest-Digits-Than-Next-Digits-Etc As We Humans Do?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-96 in pdf
  • How to Make Machine Learning Robust Against Adversarial Inputs

    Gerardo Muela, Christian Servin, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-95 in pdf
  • Yes- and No-Gestures Explained by Symmetry

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-94 in pdf
  • Towards Decision Making under Interval Uncertainty

    Andrzej Pownuk and Vladik Kreinovich

    link to abstract | UTEP-CS-16-93 in pdf
  • Why Product "And"-Operation Is Often Efficient: One More Argument

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-92 in pdf
  • A Heuristic Solution of the Toll Optimal Problem With Congestion Affected Costs

    Vyacheslav Kalashnikov, Jose G. Florez-Muniz, Nataliya Kalashnykova, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-91 in pdf
  • Towards an Algebraic Description of Set Arithmetic

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-90 in pdf
  • Structure of Filled Functions: Why Gaussian and Cauchy Templates Are Most Efficient

    Vyacheslav Kalashnikov, Vladik Kreinovich, Jose Guadalupe Flores-Muniz, and Nataliya Kalashnykova

    link to abstract | UTEP-CS-16-89 in pdf
  • Fuzzy Pareto Solution in multi-criteria group decision making with intuitionistic linguistic preference relation

    Bui Cong Cuong, Vladik Kreinovich, Le Hoang Son, and Nilanjan Dey

    link to abstract | UTEP-CS-16-88 in pdf
  • When Invading, Cancer Cell Do Not Divide: A Geometric (Symmetry-Based) Explanation of an Empirical Observation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-87 in pdf
  • Why the Presence of Point-Wise ("Punctate") Calcifications or Linear Configurations of Calcifications Makes Breast Cancer More Probable: A Geometric Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-86 in pdf
  • Why Most Bright Stars Are Binary But Most Dim Stars Are Single: A Simple Qualitative Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-85 in pdf
  • Recent Changes in Enrollment in CAHSI Departments

    Heather Thiry and Sarah Hug

    link to abstract | UTEP-CS-16-84 in pdf
  • Writing JML Specifications Using Java 8 Streams

    Yoonsik Cheon, Zejing Cao and Khandoker Rahad

    link to abstract | UTEP-CS-16-83 in pdf
  • It Is Advantageous to Make a Syllabus As Precise As Possible: Decision-Theoretic Analysis

    Francisco Zapata, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-82 in pdf
  • Why Multiplication Has Higher Priority than Addition: A Pedagogical Remark

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-81 in pdf
  • Use of Machine Learning to Analyze and -- Hopefully -- Predict Volcano Activity

    Justin Parra, Olac Fuentes, Elizabeth Anthony, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-80 in pdf | UTEP-CS-16-80a in pdf | UTEP-CS-16-80b in pdf
  • Gaussian and Cauchy Functions in the Filled Function Method -- Why and What Next: On the Example of Optimizing Road Tolls

    Jose Guadalupe Flores Muniz, Vyacheslav V. Kalashnikov, Vladik Kreinovich, and Nataliya Kalashnykova

    link to abstract | UTEP-CS-16-79 in pdf | UTEP-CS-16-79a in pdf | UTEP-CS-16-79b in pdf
  • Scaling-Invariant Description of Dependence Between Fuzzy Variables: Towards a Fuzzy Version of Copulas

    Gerardo Muela, Vladik Kreinovich, and Christian Servin

    link to abstract | UTEP-CS-16-78 in pdf | UTEP-CS-16-78a in pdf
  • A Simplified Derivation of Confidence Regions Based on Inferential Models

    Vladik Kreinovich

    link to abstract | UTEP-CS-16-77 in pdf
  • Are Java Programming Best Practices Also Best Practices for Android?

    Yoonsik Cheon

    link to abstract | UTEP-CS-16-76 in pdf
  • Von Neumann-Morgenstern Solutions, Quantum Physics, and Stored Programs vs. Data: Unity of Von Neumann's Legacy

    Olga Kosheleva, Martha Osegueda Escobar, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-75 in pdf
  • Cosmological Inflation: A Simple Qualitative Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-74 in pdf
  • Why Utility Non-Linearly Depends on Money: A Commonsense Explanation

    Olga Kosheleva, Mahdokht Afravi, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-73 in pdf
  • How to Assign Numerical Values to Partially Ordered Levels of Confidence: Robustness Approach

    Kimberly Kato

    link to abstract | UTEP-CS-16-72 in pdf
  • Why Half-Frequency in Intelligent Compaction

    Pedro Barragan Olague and Vladik Kreinovich

    link to abstract | UTEP-CS-16-71 in pdf
  • Intuitionistic Fuzzy Logic Is Not Always Equivalent to Interval-Valued One

    Christian Servin and Vladik Kreinovich

    link to abstract | UTEP-CS-16-70 in pdf
  • Preliminary Investigation of Mobile System Features Potentially Relevant to HPC

    David Pruitt and Eric Freudenthal

    link to abstract | UTEP-CS-16-69 in pdf
  • Why Pairwise Testing Works So Well: A Possible Theoretical Explanation of an Empirical Phenomenon

    Francisco Zapata and Vladik Kreinovich

    link to abstract | UTEP-CS-16-68 in pdf
  • Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition

    Mahdokht Afravi, Vladik Kreinovich, and Thongchai Dumrongpokaphoan

    link to abstract | UTEP-CS-16-67 in pdf | UTEP-CS-16-67a in pdf
  • Preliminaries to a Study of Stance in News Broadcasts

    Nigel G. Ward

    link to abstract | UTEP-CS-16-66 in pdf
  • For Multi-Interval-Valued Fuzzy Sets, Centroid Defuzzification Is Equivalent to Defuzzifying Its Interval Hull: A Theorem

    Vladik Kreinovich and Songsak Sriboonchitta

    link to abstract | UTEP-CS-16-65 in pdf
  • Computability of the Avoidance Set and of the Set-Valued Identification Problem

    Anthony Welte, Luc Jaulin, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-64 in pdf
  • HifoCap: An Android App for Wearable Health Devices Programming

    Yoonsik Cheon and Rodrigo Romero

    link to abstract | UTEP-CS-16-63 in pdf
  • Decision Making Under Interval Uncertainty as a Natural Example of a Quandle

    Mahdokht Afravi and Vladik Kreinovich

    link to abstract | UTEP-CS-16-62 in pdf | UTEP-CS-16-62a in pdf
  • Z-Numbers and Type-2 Fuzzy Sets: A Representation Result

    Vladik Kreinovich and Rafik Aliev

    link to abstract | UTEP-CS-16-61 in pdf
  • A classification of representable t-norm operators for picture fuzzy sets

    Bui Cong Cuong, Vladik Kreinovich, and Roan Thi Ngan

    link to abstract | UTEP-CS-16-60 in pdf
  • Concepts of solutions of uncertain equations with intervals, probabilities and fuzzy sets for applied tasks

    Boris Kovalerchuk and Vladik Kreinovich

    link to abstract | UTEP-CS-16-59 in pdf | UTEP-CS-16-59a in pdf
  • Why Hausdorff Distance Is Natural in Interval Computations

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-58 in pdf
  • The Range of a Continuous Functional Under Set-Valued Uncertainty Is Always an Interval

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-16-57 in pdf | UTEP-CS-16-57a in pdf
  • Avoiding Fake Boundaries in Set Interval Computing

    Anthony Welte, Luc Jaulin, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-56 in pdf | UTEP-CS-16-56a in pdf
  • Robust Data Processing in the Presence of Uncertainty and Outliers: Case of Localization Problems

    Anthony Welte, Luc Jaulin, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-55 in pdf | UTEP-CS-16-55a in pdf
  • One Needs to Be Careful When Dismissing Outliers: A Realistic Example

    Carlos Fajardo, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-54 in pdf
  • How to Determine the Stiffness of the Pavement's Upper Layer (Base) Based on the Overall Stiffness and the Stiffness of the Lower Layer (Subgrade)

    Christian Servin and Vladik Kreinovich

    link to abstract | UTEP-CS-16-53 in pdf
  • Why Ragin's Fuzzy Techniques Lead to Successful Social Science Applications: An Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-52 in pdf
  • Which Interval Is the Closest to a Given Set?

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-16-51 in pdf
  • How to Make Plausibility-Based Forecasting More Accurate

    Kongliang Zhu, Nantiworn Thianpaen, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-50 in pdf
  • When We Know the Number of Local Maxima, Then We Can Compute All of Them

    Olga Kosheleva, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-49 in pdf
  • Interpolation Sometimes Enhances and Sometimes Impedes Spatial Correlation: Simple Pedagogical Examples

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-48 in pdf
  • Geometric Symmetries Partially Explain Why Some Paleolithic Signs Are More Frequent

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-47 in pdf
  • How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking Into Account Known Constraints

    Chitta Baral, Martine Ceberio, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-46 in pdf
  • How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES

    Olga Kosheleva, Vladik Kreinovich, and Thongchai Dumrongpokaphan

    link to abstract | UTEP-CS-16-45 in pdf
  • Why 3-D Space? Why 10-D Space? A Possible Simple Geometric Explanation

    Vladik Kreinovich

    link to abstract | UTEP-CS-16-44 in pdf
  • Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas

    Olga Kosheleva, Vladik Kreinovich, and Songsak Sriboonchitta

    link to abstract | UTEP-CS-16-43 in pdf
  • Why Cannot We Have a Strongly Consistent Family of Skew Normal (and Higher Order) Distributions

    Thongchai Dumrongpokaphan and Vladik Kreinovich

    link to abstract | UTEP-CS-16-42 in pdf
  • Diversity & Computing Workforce Success: Changing Business as Usual
    Report on the Roundtable at the Computing Alliance for Hispanic-Serving Institutions (CAHSI) Summit, San Juan, Puerto Rico, September 12, 2015

    Ann Q. Gates, Claudia Casas, and Andrea Tirres

    link to abstract | UTEP-CS-16-41 in pdf
  • Why Compaction Meter Value (CMV) Is a Good Measure of Pavement Stiffness: Towards a Possible Theoretical Explanation

    Andrzej M. Pownuk, Pedro Barragan Olague, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-40 in pdf
  • What Will Make Computers Faster: An Approach Based on Computational Complexity

    Vladik Kreinovich

    link to abstract | UTEP-CS-16-39 in pdf
  • Computers of Generation Omega and the Future of Computing

    Vladik Kreinovich

    link to abstract | UTEP-CS-16-38 in pdf
  • George Klir and the Great Chain of Ideas

    Vladik Kreinovich

    link to abstract | UTEP-CS-16-37 in pdf
  • How Resilient Modulus of a Pavement Depends on Moisture Level: Towards a Theoretical Justification of a Practically Important Empirical Formula

    Pedro Barragan Olague, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-36 in pdf
  • Which Point From an Interval Should We Choose?

    Andrzej Pownuk and Vladik Kreinovich

    link to abstract | UTEP-CS-16-35 in pdf
  • What If We Use Different "And"-Operations in the Same Expert System

    Mahdokht Afravi and Vladik Kreinovich

    link to abstract | UTEP-CS-16-34 in pdf
  • Towards the Most Robust Way of Assigning Numerical Degrees to Ordered Labels, With Possible Applications to Dark Matter and Dark Energy

    Olga Kosheleva, Vladik Kreinovich, Martha Osegueda Escobar, and Kimberly Kato

    link to abstract | UTEP-CS-16-33 in pdf
  • How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach

    Ildar Batyrshin, Thongchai Dumrongpokaphan, Vladik Kreinovich, and Olga Kosheleva

    link to abstract | UTEP-CS-16-32 in pdf | UTEP-CS-16-32b in pdf | UTEP-CS-16-32c in pdf
  • Analysis of the Execution Time Variation of OpenMP-based Applications on the Intel Xeon Phi

    Roberto Camacho Barranco and Patricia J. Teller

    link to abstract | UTEP-CS-16-31 in pdf
  • Empirically Successful Transformations from Non-Gaussian to Close-to-Gaussian Distributions: Theoretical Justification

    Thongchai Dumrongpokaphan, Pedro Barragan, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-30 in pdf
  • Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions

    Songsak Sriboonchitta, Vladik Kreinovich, Olga Kosheleva, and Hung T. Nguyen

    link to abstract | UTEP-CS-16-29 in pdf | UTEP-CS-16-29b in pdf
  • Bayesian Approach to Intelligent Control and Its Relation to Fuzzy Control

    Kongliang Zhu, Vladik Kreinovich, and Olga Kosheleva

    link to abstract | UTEP-CS-16-28 in pdf
  • Big Data: A Geometric Explanation of a Seemingly Counterintuitive Strategy

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-27 in pdf
  • How to Make Testing and Grading Non-Confrontational: Towards Applying Loving Kindness to Testing and Grading

    Francisco Zapata and Olga Kosheleva

    link to abstract | UTEP-CS-16-26 in pdf
  • Which Robust Versions of Sample Variance and Sample Covariance Are Most Appropriate for Econometrics: Symmetry-Based Analysis

    Songsak Sriboonchitta, Ildar Batyrshin, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-25 in pdf | UTEP-CS-16-25a in pdf
  • Fuzzy-Inspired Hierarchical Version of the von~Neumann-Morgenstern Solutions as a Natural Way to Resolve Collaboration-Related Conflicts

    Olga Kosheleva, Vladik Kreinovich, and Martha Osegueda Escobar

    link to abstract | UTEP-CS-16-24 in pdf | UTEP-CS-16-24a in pdf
  • Rotation-Invariance Can Further Improve State-of-the-Art Blind Deconvolution Techniques

    Fernando Cervantes, Bryan Usevitch, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-23 in pdf | UTEP-CS-16-23a in pdf
  • How to Transform Partial Order Between Degrees into Numerical Values

    Olga Kosheleva, Vladik Kreinovich, Joe Lorkowski, and Martha Osegueda

    link to abstract | UTEP-CS-16-22 in pdf | UTEP-CS-16-22a in pdf
  • How to Introduce Technical Details of Quantum Computing in a Theory of Computation Class: Using the Basic Case of the Deutsch-Jozsa Algorithm

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-21 in pdf
  • How to Estimate Amount of Useful Information, in Particular Under Imprecise Probability

    Luc Longpre, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-20 in pdf | UTEP-CS-16-20a in pdf
  • Model-Order Reduction Using Interval Constraint Solving Techniques

    Leobardo Valera and Martine Ceberio

    link to abstract | UTEP-CS-16-19 in pdf
  • Why Lp-methods in Signal and Image Processing: A Fuzzy-Based Explanation

    Fernando Cervantes, Bryan Usevitch, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-18 in pdf
  • Limitations of Realistic Monte-Carlo Techniques in Estimating Interval Uncertainty

    Andrzej Pownuk, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-17 in pdf | UTEP-CS-16-17a in pdf
  • How to Estimate Resilient Modulus for Unbound Aggregate Materials: A Theoretical Explanation of an Empirical Formula

    Pedro Barragan Olague, Soheil Nazarian, Vladik Kreinovich, and Afshin Gholamy

    link to abstract | UTEP-CS-16-16 in pdf | UTEP-CS-16-16a in pdf
  • How to Make a Solution to a Territorial Dispute More Realistic: Taking into Account Uncertainty, Emotions, and Step-by-Step Approach

    Mahdokht Afravi and Vladik Kreinovich

    link to abstract | UTEP-CS-16-15 in pdf | UTEP-CS-16-15a in pdf
  • How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing

    Stephen M. Escarzaga, Craig Tweedie, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-14 in pdf | UTEP-CS-16-14a in pdf
  • Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas

    Olga Kosheleva, and Vladik Kreinovich, and Laecio Carvalho Barros

    link to abstract | UTEP-CS-16-13 in pdf | UTEP-CS-16-13a in pdf
  • How to Describe Measurement Uncertainty and Uncertainty of Expert Estimates?

    Nicolas Madrid, Irina Perfilieva, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-12 in pdf | UTEP-CS-16-12a in pdf
  • Why Sparse? Fuzzy Techniques Explain Empirical Efficiency of Sparsity-Based Data- and Image-Processing Algorithms

    Fernando Cervantes, Brian Usevitch, Leobardo Valera, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-11 in pdf | UTEP-CS-16-11a in pdf
  • Voting Aggregation Leads to (Interval) Median

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-10 in pdf | UTEP-CS-16-10a in pdf
  • Comparison of formulations of applied tasks with interval, fuzzy set and probability approaches

    Boris Kovalerchuk and Vladik Kreinovich

    link to abstract | UTEP-CS-16-09 in pdf | UTEP-CS-16-09a in pdf
  • Why Superellipsoids: A Probability-Based Explanation

    Pedro Barragan and Vladik Kreinovich

    link to abstract | UTEP-CS-16-08 in pdf | UTEP-CS-16-08a in pdf
  • Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty

    Songsak Sriboonchitta, Hung T. Nguyen, Vladik Kreinovich, and Olga Kosheleva

    link to abstract | UTEP-CS-16-07 in pdf | UTEP-CS-16-07a in pdf
  • Why Dependence of Productivity on Group Size Is Log-Normal

    Francisco Zapata, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-06 in pdf
  • Adjoint Fuzzy Partition and Generalized Sampling Theorem

    Irina Perflieva, Michal Holcapek, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-05 in pdf | UTEP-CS-16-05a in pdf
  • Bell-Shaped Curve for Productivity Growth: An Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-04 in pdf
  • Do we have compatible concepts of epistemic uncertainty?

    Michael Beer, Scott Ferson, and Vladik Kreinovich

    link to abstract | UTEP-CS-16-03 in pdf
  • Why Locating Local Optima Is Sometimes More Complicated Than Locating Global Ones

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-02 in pdf
  • On Geometry of Finsler Causality: For Convex Cones, There Is No Affine-Invariant Linear Order (Similar to Comparing Volumes)

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-16-01 in pdf