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 | UTEP-CS-16-58a 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 | UTEP-CS-16-51a 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, 2015Ann 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 | UTEP-CS-16-37a 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