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2020 – today
- 2024
[j56]Olga Kosheleva, Vladik Kreinovich, Victor L. Timchenko, Yuriy P. Kondratenko:
From Fuzzy to Mobile Fuzzy. J. Mobile Multimedia 20(3): 651-664 (2024)- [c132]Olga Kosheleva, Vladik Kreinovich, Ahnaf Farhan:
Fuzzy Ideas Explain Fechner Law and Help Detect Relation Between Objects in Video. SACI 2024: 127-132 - [p79]Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Fuzzy Techniques Explain the Effectiveness of ReLU Activation Function in Deep Learning. New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics 2024: 425-430 - [p78]Aaron Velasco, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Why 6-Labels Uncertainty Scale in Geosciences: Probability-Based Explanation. New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics 2024: 431-434 - 2023
- [c131]Mehran Mazandarani
, Olga Kosheleva, Vladik Kreinovich:
Why Fractional Fuzzy. EUSFLAT/AGOP 2023: 285-296 - [c130]Saeid Tizpaz-Niari, Luc Longpré, Olga Kosheleva, Vladik Kreinovich:
Fast - Asymptotically Optimal - Methods for Determining the Optimal Number of Features. IUKM (1) 2023: 123-128 - [c129]Edgar Daniel Rodriguez Velasquez, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich:
Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? a General Explanation. IUKM (1) 2023: 129-138 - [c128]Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Günter Mayer:
Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions. NAFIPS 2023: 246-257 - [c127]Cliff A. Joslyn, Andrés Ortiz-Muñoz, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich:
Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology. NAFIPS 2023: 279-289 - [c126]Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Lev Ginzburg:
Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty. NAFIPS 2023: 290-300 - [c125]Palvi Aggarwal, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance. NAFIPS 2023: 312-319 - [c124]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory. NAFIPS 2023: 320-324 - [c123]Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich:
What Do Goedel's Theorem and Arrow's Theorem have in Common: A Possible Answer to Arrow's Question. NAFIPS 2023: 338-343 - [c122]Aaron Velasco, Olga Kosheleva, Vladik Kreinovich:
High-Impact Low-Probability Events are Even More Important Than it is Usually Assumed. NAFIPS 2023: 344-349 - [c121]Jieqiong Zhao, Olga Kosheleva, Vladik Kreinovich:
People Prefer More Information About Uncertainty, but Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon. NAFIPS 2023: 350-356 - [c120]Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. SSCI 2023: 496-500 - [c119]Orsolya Csiszár, Gábor Csiszár, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation. SSCI 2023: 501-505 - [p77]Luc Longpré, Olga Kosheleva, Vladik Kreinovich:
Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations. Decision Making Under Uncertainty and Constraints 2023: 3-9 - [p76]Olga Kosheleva, Vladik Kreinovich:
Selfish Gene Theory Explains Oedipus Complex. Decision Making Under Uncertainty and Constraints 2023: 13-16 - [p75]Olga Kosheleva, Vladik Kreinovich:
How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik. Decision Making Under Uncertainty and Constraints 2023: 19-24 - [p74]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? Decision Making Under Uncertainty and Constraints 2023: 25-32 - [p73]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Shall We Ignore All Intermediate Grades? Decision Making Under Uncertainty and Constraints 2023: 33-38 - [p72]Olga Kosheleva, Vladik Kreinovich:
Why ∞ is a Reasonable Symbol for Infinity. Decision Making Under Uncertainty and Constraints 2023: 39-41 - [p71]Olga Kosheleva, Vladik Kreinovich:
A General Commonsense Explanation of Several Medical Results. Uncertainty, Constraints, and Decision Making 2023: 39-43 - [p70]Olga Kosheleva, Vladik Kreinovich:
What Is 1/0 from the Practical Viewpoint: A Pedagogical Note. Decision Making Under Uncertainty and Constraints 2023: 43-47 - [p69]Julian Viera, Olga Kosheleva:
Historical Diversity Through Base-10 Representation of Mayan Math. Decision Making Under Uncertainty and Constraints 2023: 49-62 - [p68]Sean R. Aguilar, Olga Kosheleva, Vladik Kreinovich:
Why Base-20, Base-40, and Base-60 Number Systems? Decision Making Under Uncertainty and Constraints 2023: 63-67 - [p67]Laxman Bokati, Olga Kosheleva, Vladik Kreinovich:
Why Rarity Score Is a Good Evaluation of a Non-Fungible Token. Uncertainty, Constraints, and Decision Making 2023: 69-74 - [p66]Olga Kosheleva, Vladik Kreinovich:
Why Chomsky Normal Form: A Pedagogical Note. Decision Making Under Uncertainty and Constraints 2023: 69-73 - [p65]Martine Ceberio, Christian Servin, Olga Kosheleva, Vladik Kreinovich:
How to Best Write Research Papers: Basic English? Sophisticated English? Decision Making Under Uncertainty and Constraints 2023: 75-80 - [p64]Olga Kosheleva, Vladik Kreinovich:
Everyone is Above Average: Is It Possible? Is It Good? Uncertainty, Constraints, and Decision Making 2023: 79-83 - [p63]Olga Kosheleva, Vladik Kreinovich:
How Probable is a Revolution? A Natural ReLU-Like Formula That Fits the Historical Data. Uncertainty, Constraints, and Decision Making 2023: 85-90 - [p62]Julio C. Urenda, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation. Decision Making Under Uncertainty and Constraints 2023: 89-92 - [p61]Olga Kosheleva, Vladik Kreinovich:
Why Should Exactly 1/4 Be Returned to the Original Owner: An Economic Explanation of an Ancient Recommendation. Uncertainty, Constraints, and Decision Making 2023: 91-94 - [p60]Olga Kosheleva, Vladik Kreinovich:
Why Would Anyone Invest in a High-Risk Low-Profit Enterprise? Uncertainty, Constraints, and Decision Making 2023: 95-98 - [p59]Daniela Flores, Olga Kosheleva, Vladik Kreinovich:
Why Geological Regions? Decision Making Under Uncertainty and Constraints 2023: 103-108 - [p58]Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich:
In the Absence of Information, the only Reasonable Negotiation Scheme Is Offering a Certain Percentage of the Original Request: A Proof. Uncertainty, Constraints, and Decision Making 2023: 109-113 - [p57]Olga Kosheleva, Vladik Kreinovich:
How to Make Quantum Ideas Less Counter-Intuitive: A Simple Analysis of Measurement Uncertainty Can Help. Uncertainty, Constraints, and Decision Making 2023: 117-122 - [p56]Olga Kosheleva, Vladik Kreinovich:
Why Semi-supervised Learning Makes Sense: A Pedagogical Note. Decision Making Under Uncertainty and Constraints 2023: 121-124 - [p55]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Physical Meaning Often Leads to Natural Derivations in Elementary Mathematics: On the Examples of Solving Quadratic and Cubic Equations. Uncertainty, Constraints, and Decision Making 2023: 123-126 - [p54]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Towards Better Ways to Compute the Overall Grade for a Class. Uncertainty, Constraints, and Decision Making 2023: 127-133 - [p53]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Why Some Theoretically Possible Representations of Natural Numbers Were Historically Used and Some Were Not: An Algorithm-Based Explanation. Uncertainty, Constraints, and Decision Making 2023: 135-139 - [p52]Julio C. Urenda, Sean R. Aguilar, Olga Kosheleva, Vladik Kreinovich:
Fuzzy Techniques, Laplace Indeterminacy Principle, and Maximum Entropy Approach Explain Lindy Effect and Help Avoid Meaningless Infinities in Physics. Decision Making Under Uncertainty and Constraints 2023: 141-152 - [p51]Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Dimension Compactification Naturally Follows from First Principles. Decision Making Under Uncertainty and Constraints 2023: 153-157 - [p50]Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich:
As Complexity Rises, Meaningful Statements Lose Precision - But Why? Decision Making Under Uncertainty and Constraints 2023: 167-171 - [p49]Olga Kosheleva, Vladik Kreinovich:
Really Good Theorems Are Those That End Their Life as Definitions: Why. Uncertainty, Constraints, and Decision Making 2023: 205-208 - [p48]Olga Kosheleva, Vladik Kreinovich:
Lev Landau's Marital Advice Explained. Decision Making Under Uncertainty and Constraints 2023: 207-210 - [p47]Olga Kosheleva, Vladik Kreinovich:
Gödel's Proof of Existence of God Revisited. Decision Making Under Uncertainty and Constraints 2023: 217-221 - [p46]Olga Kosheleva, Vladik Kreinovich:
Blessings, God, Sacrifices: Possible Rational Explanations of Biblical Ideas. Decision Making Under Uncertainty and Constraints 2023: 223-229 - [p45]Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich:
Why Physical Power Laws Usually Have Rational Exponents. Uncertainty, Constraints, and Decision Making 2023: 223-226 - [p44]Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich:
Freedom of Will, Non-uniqueness of Cauchy Problem, Fractal Processes, Renormalization, Phase Transitions, and Stealth Aircraft. Uncertainty, Constraints, and Decision Making 2023: 227-231 - [p43]Saeid Tizpaz-Niari, Olga Kosheleva, Vladik Kreinovich:
How to Detect (and Analyze) Independent Subsystems of a Black-Box (or Grey-Box) System. Uncertainty, Constraints, and Decision Making 2023: 237-249 - [p42]Olga Kosheleva, Vladik Kreinovich:
How to Deal with Conflict of Interest Situations When Selecting the Best Submission. Uncertainty, Constraints, and Decision Making 2023: 263-267 - [p41]Olga Kosheleva, Vladik Kreinovich:
Why Aspirational Goals: Geometric Explanation. Uncertainty, Constraints, and Decision Making 2023: 269-273 - [p40]Olga Kosheleva, Vladik Kreinovich:
Why Hate: Analysis Based on Decision Theory. Uncertainty, Constraints, and Decision Making 2023: 275-279 - [p39]Oscar Ortiz, Henry Salgado, Olga Kosheleva, Vladik Kreinovich:
Why Self-Esteem Helps to Solve Problems: An Algorithmic Explanation. Uncertainty, Constraints, and Decision Making 2023: 281-286 - [p38]Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich:
Why Five Stages of Solar Activity, Why Five Stages of Grief, Why Seven Plus Minus Two: A General Geometric Explanation. Uncertainty, Constraints, and Decision Making 2023: 287-292 - [p37]Luc Longpré, Olga Kosheleva, Vladik Kreinovich:
Additional Spatial Dimensions Can Help Speed Up Computations. Decision Making Under Uncertainty and Constraints 2023: 297-304 - [p36]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression. Uncertainty, Constraints, and Decision Making 2023: 323-327 - [p35]Kelly Cohen, Olga Kosheleva, Vladik Kreinovich:
Why Convex Combination is an Effective Crossover Operation in Continuous Optimization: A Theoretical Explanation. Uncertainty, Constraints, and Decision Making 2023: 335-340 - [p34]Juan Carlos Figueroa García, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set. Uncertainty, Constraints, and Decision Making 2023: 345-352 - [p33]Eric Freudenthal, Olga Kosheleva, Vladik Kreinovich:
How to Detect the Fundamental Frequency: Approach Motivated by Soft Computing and Computational Complexity. Uncertainty, Constraints, and Decision Making 2023: 353-361 - [p32]Olga Kosheleva, Vladik Kreinovich:
What if There Are Too Many Outliers? Uncertainty, Constraints, and Decision Making 2023: 363-370 - [p31]Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
An Argument in Favor of Piecewise-Constant Membership Functions. Uncertainty, Constraints, and Decision Making 2023: 377-386 - [p30]Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Data Processing Under Fuzzy Uncertainty: Towards More Accurate Algorithms. Uncertainty, Constraints, and Decision Making 2023: 387-399 - [p29]Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Epistemic Versus Aleatory: Case of Interval Uncertainty. Uncertainty, Constraints, and Decision Making 2023: 401-421 - 2022
- [j55]Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich:
Invariance-Based Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning. Adv. Artif. Intell. Mach. Learn. 2(3): 456-468 (2022) - [j54]Vladik Kreinovich, Oscar Galindo, Olga Kosheleva:
Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs. Int. J. Comput. 21(4): 411-423 (2022) - [j53]Jonatan M. Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Why neural networks in the first place: a theoretical explanation. J. Intell. Fuzzy Syst. 43(6): 6947-6951 (2022) - [j52]Vladik Kreinovich, Olga Kosheleva:
How to Take All Available Information into Account in Fuzzy Decision Making: Beyond Traditional "And" - and "Or" - Operations. J. Multiple Valued Log. Soft Comput. 39(5-6): 445-462 (2022) - [c118]Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich:
Data Processing under Fuzzy Uncertainty: Towards More Efficient Algorithms. FUZZ-IEEE 2022: 1-7 - [c117]Olga Kosheleva, Vladik Kreinovich:
Why People Tend to Overestimate Joint Probabilities. IPMU (1) 2022: 485-493 - [c116]Olga Kosheleva, Vladik Kreinovich:
Invariance Explains Empirical Success of Many Intelligent Techniques. IS 2022: 1-8 - [c115]Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Why 1/(1+d) Is an Effective Distance-Based Similarity Measure: Two Explanations. IS 2022: 1-6 - [c114]Francisco Zapata, Eric Smith, Olga Kosheleva, Vladik Kreinovich:
Seemingly Counter-Intuitive Features of Good-to-Great Companies Actually Make Perfect Sense: Possible Algorithmics-Based Explanations. IS 2022: 1-4 - [c113]Laxman Bokati, Olga Kosheleva, Vladik Kreinovich:
How to Elicit Complex-Valued Fuzzy Degrees. NAFIPS 2022: 1-11 - [c112]Olga Kosheleva, Vladik Kreinovich:
Commonsense-Continuous Dynamical Systems - Stationary States, Prediction, and Reconstruction of the Past: Fuzzy-Based Analysis. NAFIPS 2022: 101-107 - [c111]Chon Van Le, Olga Kosheleva, Vladik Kreinovich:
Why Gaussian Copulas Are Ubiquitous in Economics: Fuzzy-Related Explanation. NAFIPS 2022: 108-112 - [c110]Olga Kosheleva, Vladik Kreinovich:
Need for Techniques Intermediate Between Interval and Probabilistic Ones. PPAM (2) 2022: 405-414 - 2021
- [j51]Ildar Z. Batyrshin, Nailya I. Kubysheva, Venera Bayrasheva, Olga Kosheleva, Vladik Kreinovich:
Negations of Probability Distributions: A Survey. Computación y Sistemas 25(4) (2021) - [j50]Vladik Kreinovich, Olga Kosheleva:
Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview. Entropy 23(5): 501 (2021) - [j49]Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva:
Invariance-based approach: general methods and pavement engineering case study. Int. J. Gen. Syst. 50(6): 672-702 (2021) - [j48]Olga Kosheleva, Vladik Kreinovich:
Joseph Henrich, The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous, Farrar, Straus, and Giroux, New York, 2020. J. Intell. Fuzzy Syst. 40(1): 1713-1714 (2021) - [j47]Olga Kosheleva, Vladik Kreinovich:
Hung T. Nguyen, Carol L. Walker, and Elbert A. Walker A First Course in Fuzzy Logic (4th edition) CRC Press, Taylor & Francis Book, Boca Raton, Florida, 2019. J. Intell. Fuzzy Syst. 40(1): 1715-1716 (2021) - [j46]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Amanda Jansen, Rough Draft Math: Revising to Learn, Stenhouse Publishers, Portsmouth, New Hampshire, 2020. J. Intell. Fuzzy Syst. 40(2): 3813-3814 (2021) - [j45]Olga Kosheleva, Vladik Kreinovich:
Wolfram Eilenberger Time of the Magicians: Wittgenstein, Benjamin, Cassirer, Heidegger, and The Decade that Reinvented Philosophy Penguin Press, New York, 2020. J. Intell. Fuzzy Syst. 40(5): 10325-10327 (2021) - [j44]Olga Kosheleva, Vladik Kreinovich:
Djuro G. Zrilic Functional Processing of Delta-Sigma Bit-Stream, Springer, Cham, Switzerland, 2020. J. Intell. Fuzzy Syst. 40(5): 10329-10330 (2021) - [j43]Supanika Leurcharusmee, Laxman Bokati, Olga Kosheleva:
Why linear expressions in discounting and in empathy: a symmetry-based explanation. Soft Comput. 25(12): 7753-7759 (2021) - [j42]Uyen Pham, Ildar Z. Batyrshin, Nailya I. Kubysheva, Olga Kosheleva:
Estimating a probability distribution corresponding to the negation of a property. Soft Comput. 25(12): 7975-7983 (2021) - [j41]Nguyen Ngoc Thach, Francisco Zapata, Olga Kosheleva:
When to stop testing software: economic approach. Soft Comput. 25(12): 7985-7989 (2021) - [j40]Nguyen Ngoc Thach, Laura Berrout, Olga Kosheleva:
How effective are we: towards a more convincing Stochastic Frontier analysis. Soft Comput. 25(12): 7991-7996 (2021) - [j39]Nancy Solis García, José Guadalupe Flores Muñiz, Viacheslav Kalashnikov, Nataliya I. Kalashnykova, Olga Kosheleva:
Even in simple economic systems, equilibrium can be non-unique: an example. Soft Comput. 25(12): 7997-8001 (2021) - [j38]Nguyen Ngoc Thach, Ali Morovatdar, Reza S. Ashtiani, Olga Kosheleva:
Impact of super heavy load vehicles on transportation infrastructure: economic aspects. Soft Comput. 25(12): 8003-8006 (2021) - [c109]Laxman Bokati, Olga Kosheleva, Vladik Kreinovich:
How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty. NAFIPS 2021: 52-61 - [c108]Kelly Cohen, Laxman Bokati, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? NAFIPS 2021: 74-78 - [c107]Olga Kosheleva, Vladik Kreinovich:
A Natural Formalization of Changing-One's-Mind Leads to Square Root of "Not" and to Complex-Valued Fuzzy Logic. NAFIPS 2021: 190-195 - [c106]Olga Kosheleva, Vladik Kreinovich:
Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon. NAFIPS 2021: 196-202 - [c105]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
What Teachers Can Learn from Machine Learning. NAFIPS 2021: 400-405 - [c104]Julio C. Urenda, Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Mexican Folk Arithmetic Algorithm Makes Perfect Sense. NAFIPS 2021: 453-460 - [c103]Francisco Zapata, Olga Kosheleva, Vladik Kreinovich:
Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout. NAFIPS 2021: 499-504 - [c102]Michael Beer, Olga Kosheleva, Vladik Kreinovich:
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields. SSCI 2021: 1-7 - [c101]Ander Gray, Scott Ferson, Olga Kosheleva, Vladik Kreinovich:
While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible. SSCI 2021: 1-6 - [p28]Vladik Kreinovich, Olga Kosheleva, Michael Zakharevich:
Z-Numbers: How They Describe Student Confidence and How They Can Explain (and Improve) Laplacian and Schroedinger Eigenmap Dimension Reduction in Data Analysis. Fuzzy Approaches for Soft Computing and Approximate Reasoning 2021: 285-297 - 2020
- [j37]Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen:
How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: A Neural Approach. J. Adv. Comput. Intell. Intell. Informatics 24(5): 593-598 (2020) - [j36]Laxman Bokati, Hoang Phuong Nguyen, Olga Kosheleva, Vladik Kreinovich:
How to Combine (Dis)Utilities of Different Aspects into a Single (Dis)Utility Value, and How This Is Related to Geometric Images of Happiness. J. Adv. Comput. Intell. Intell. Informatics 24(5): 599-603 (2020) - [c100]Olga Kosheleva, Vladik Kreinovich:
Relativistic Effects Can Be Used to Achieve a Universal Square-Root (Or Even Faster) Computation Speedup. Fields of Logic and Computation III 2020: 179-189 - [c99]Vladik Kreinovich, Martine Ceberio, Olga Kosheleva:
White- and Black-Box Computing and Measurements Under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies - Robotic Boat and Hierarchical Covid Testing. ICTES 2020: 1-18 - [c98]Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Why Spiking Neural Networks Are Efficient: A Theorem. IPMU (1) 2020: 59-69 - [c97]Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria. IPMU (1) 2020: 70-79 - [c96]Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, Uram Anibal Sosa Aguirre:
Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing. ISMSI 2020: 8-12 - [c95]Vladik Kreinovich, Olga Kosheleva:
Deep Learning (Partly) Demystified. ISMSI 2020: 30-35 - [c94]Jonatan M. Contreras, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Martine Ceberio:
Let Us Use Negative Examples in Regression-Type Problems Too. IV 2020: 296-300 - [c93]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well. IV 2020: 313-316 - [c92]Oscar Galindo, Olga Kosheleva, Vladik Kreinovich:
Why Majority Rule Does Not Work in Quantum Computing: A Pedagogical Explanation. MICAI (1) 2020: 396-401 - [c91]Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich:
How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas. MICAI (1) 2020: 402-410 - [c90]Olga Kosheleva, Vladik Kreinovich:
Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility. NAFIPS 2020: 401-406 - [c89]Leobardo Valera, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Equations for Which Newton's Method Never Works: Pedagogical Examples. NAFIPS 2020: 413-419 - [c88]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Optimal Search Under Constraints. NAFIPS 2020: 421-426 - [c87]Julio C. Urenda, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples. NAFIPS 2020: 439-442 - [c86]Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, Olga Kosheleva, Vladik Kreinovich, György Eigner:
Why Squashing Functions in Multi-Layer Neural Networks. SMC 2020: 1705-1711 - [c85]Deepak K. Tosh, Oscar Galindo, Vladik Kreinovich, Olga Kosheleva:
Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms. SoSE 2020: 313-320 - [p27]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable. Decision Making under Constraints 2020: 59-64 - [p26]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Reverse Mathematics Is Computable for Interval Computations. Decision Making under Constraints 2020: 65-70 - [p25]Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas. Decision Making under Constraints 2020: 139-144 - [p24]Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
When We Know the Number of Local Maxima, Then We Can Compute All of Them. Decision Making under Constraints 2020: 145-151 - [p23]Gerardo Muela, Olga Kosheleva:
Why Decimal System and Binary System Are the Most Widely Used: A Possible Explanation. Decision Making under Constraints 2020: 153-156
2010 – 2019
- 2019
- [j35]Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta:
Why Use a Fuzzy Partition in F-Transform? Axioms 8(3): 94 (2019) - [j34]Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen:
Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local Ones. Axioms 8(3): 95 (2019) - [j33]Ildar Z. Batyrshin, Olga Kosheleva, Vladik Kreinovich, Nailya I. Kubysheva, Raouf Akhtiamov:
Contrast Similarity Measures of Fuzzy Sets. Computación y Sistemas 23(4) (2019) - [j32]Olga Kosheleva, Vladik Kreinovich:
How to Assign Points for Chores. Russ. Digit. Libr. J. 22(6): 759-762 (2019) - [j31]Olga Kosheleva, Vladik Kreinovich, Francisco Zapata:
Egyptian Fractions Re-Revisited. Russ. Digit. Libr. J. 22(6): 763-768 (2019) - [j30]Mourat Tchoshanov, Olga Kosheleva, Vladik Kreinovich:
Anatole France's Statement on Education Transformed into a Theorem. Russ. Digit. Libr. J. 22(6): 769-772 (2019) - [j29]Laxman Bokati, Vyacheslav Kalashnikov, Nataliya I. Kalashnykova, Olga Kosheleva, Vladik Kreinovich:
How to Assign Grades to Tasks so as to Maximize Student Efforts. Russ. Digit. Libr. J. 22(6): 773-779 (2019) - [c84]Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen:
Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data. ECONVN 2019: 163-167 - [c83]Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen:
Why Quantum (Wave Probability) Models Are a Good Description of Many Non-quantum Complex Systems, and How to Go Beyond Quantum Models. ECONVN 2019: 168-175 - [c82]Olga Kosheleva, Vladik Kreinovich:
Physics's Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional. EUSFLAT Conf. 2019 - [c81]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré:
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates. FUZZ-IEEE 2019: 1-5 - [c80]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré:
In Its Usual Formulation, Fuzzy Computation Is, In General, NP-Hard, But a More Realistic Formulation Can Make It Feasible. FUZZ-IEEE 2019: 1-6 - [c79]Oscar Galindo, Olga Kosheleva, Vladik Kreinovich:
High Concentrations Naturally Lead to Fuzzy-Type Interactions and to Gravitational Wave Bursts. FUZZ-IEEE 2019: 1-5 - [c78]Olga Kosheleva, Christian Servin, Vladik Kreinovich:
Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation. IFSA/NAFIPS 2019: 106-112 - [c77]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
How to Fuse Expert Knowledge: Not Always "And" but a Fuzzy Combination of "And" and "Or". IFSA/NAFIPS 2019: 113-120 - [c76]Francisco Zapata, Olga Kosheleva, Vladik Kreinovich:
Logarithms Are Not Infinity: A Rational Physics-Related Explanation of the Mysterious Statement by Lev Landau. IFSA/NAFIPS 2019: 746-751 - [c75]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account? IFSA/NAFIPS 2019: 767-778 - [c74]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification. IUKM 2019: 98-108 - [c73]Bartlomiej Jacek Kubica, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich:
Softmax and McFadden's Discrete Choice Under Interval (and Other) Uncertainty. PPAM (2) 2019: 364-373 - [p22]Nguyen Ngoc Thach, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen:
Algorithmic Need for Subcopulas. Structural Changes and their Econometric Modeling 2019: 172-181 - [p21]Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich:
How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications. Structural Changes and their Econometric Modeling 2019: 182-190 - [p20]Songsak Sriboonchitta, Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen:
Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics. Structural Changes and their Econometric Modeling 2019: 191-199 - 2018
- [b1]Olga Kosheleva, Karen Villaverde:
How Interval and Fuzzy Techniques Can Improve Teaching - Processing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches. Studies in Computational Intelligence 750, Springer 2018, ISBN 978-3-662-55991-8 - [c72]Vladik Kreinovich, Anh Hoang Ly, Olga Kosheleva, Songsak Sriboonchitta:
Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond. ECONVN 2018: 134-145 - [c71]Anh Hoang Ly, Michael Zakharevich, Olga Kosheleva, Vladik Kreinovich:
An Ancient Bankruptcy Solution Makes Economic Sense. ECONVN 2018: 152-160 - [c70]Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich:
Maximum Entropy Beyond Selecting Probability Distributions. ECONVN 2018: 186-195 - [c69]Stephen Schön, Gaël Kermarrec, Boris Kargoll, Ingo Neumann, Olga Kosheleva, Vladik Kreinovich:
Why Student Distributions? Why Matern's Covariance Model? A Symmetry-Based Explanation. ECONVN 2018: 266-275 - [c68]Olga Kosheleva, Vladik Kreinovich:
Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections. FUZZ-IEEE 2018: 1-7 - [c67]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
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? FUZZ-IEEE 2018: 1-10 - [c66]Olga Kosheleva, Vladik Kreinovich:
Why Triangular Membership Functions are Often Efficient in F-transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets. IPMU (2) 2018: 127-138 - [c65]Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Thongchai Dumrongpokaphan:
Do It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideas. IUKM 2018: 27-38 - [c64]Kittawit Autchariyapanitkul, Olga Kosheleva, Vladik Kreinovich, Songsak Sriboonchitta:
Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness. IUKM 2018: 264-275 - [c63]Oscar Galindo, Vladik Kreinovich, Olga Kosheleva:
Current Quantum Cryptography Algorithm Is Optimal: A Proof. SSCI 2018: 295-300 - [p19]Vladik Kreinovich, Thongchai Dumrongpokaphan, Hung T. Nguyen, Olga Kosheleva:
How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy. Predictive Econometrics and Big Data 2018: 198-204 - [p18]Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga Kosheleva:
How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty. Predictive Econometrics and Big Data 2018: 205-213 - 2017
- [c62]Gerardo Muela, Olga Kosheleva, Vladik Kreinovich, Christian Servin:
It is possible to determine exact fuzzy values based on an ordering of interval-valued or set-valued fuzzy degrees. FUZZ-IEEE 2017: 1-6 - [c61]Hung T. Nguyen, Kittawit Autchariyapanitkul, Olga Kosheleva, Vladik Kreinovich:
Uncertain information fusion and knowledge integration: How to take reliability into account. IFSA-SCIS 2017: 1-8 - [c60]Francisco Zapata, Olga Kosheleva, Vladik Kreinovich:
Which material design is possible under additive manufacturing: A fuzzy approach. IFSA-SCIS 2017: 1-5 - [c59]Patricia Melin, Oscar Castillo, Andrzej Pownuk, Olga Kosheleva, Vladik Kreinovich:
How to Gauge the Accuracy of Fuzzy Control Recommendations: A Simple Idea. NAFIPS 2017: 287-292 - [p17]Songsak Sriboonchitta, Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva:
Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty. Robustness in Econometrics 2017: 51-68 - [p16]Olga Kosheleva, Vladik Kreinovich, Songsak Sriboonchitta:
Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas. Robustness in Econometrics 2017: 79-87 - [p15]Olga Kosheleva, Vladik Kreinovich, Thongchai Dumrongpokaphan:
How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES. Robustness in Econometrics 2017: 89-98 - 2016
- [c58]Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva:
Membership functions representing a number vs. representing a set: Proof of unique reconstruction. FUZZ-IEEE 2016: 657-662 - [c57]Fernando Cervantes, Bryan Usevitch, Leobardo Valera, Vladik Kreinovich, Olga Kosheleva:
Fuzzy techniques provide a theoretical explanation for the heuristic ℓp-regularization of signals and images. FUZZ-IEEE 2016: 1323-1327 - [c56]Ildar Z. Batyrshin, Thongchai Dumrongpokaphan, Vladik Kreinovich, Olga Kosheleva:
How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach. IUKM 2016: 457-468 - [c55]Songsak Sriboonchitta, Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen:
Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions. IUKM 2016: 523-531 - [c54]Olga Kosheleva, Vladik Kreinovich, Martha Osegueda Escobar, Kimberly Kato:
Towards the most robust way of assigning numerical degrees to ordered labels, with possible applications to dark matter and dark energy. NAFIPS 2016: 1-4 - [c53]Pedro Barragan Olague, Olga Kosheleva, Vladik Kreinovich:
How resilient modulus of a pavement depends on moisture level: Towards a theoretical justification of a practically important empirical formula. NAFIPS 2016: 1-4 - [c52]Olga Kosheleva, Vladik Kreinovich, Joe Lorkowski, Martha Osegueda Escobar:
How to transform partial order between degrees into numerical values. SMC 2016: 2489-2494 - [c51]Olga Kosheleva, Vladik Kreinovich, Martha Osegueda Escobar:
Fuzzy-inspired hierarchical version of the von Neumann-Morgenstern solutions as a natural way to resolve collaboration-related conflicts. SMC 2016: 2511-2515 - [c50]Julian Viera, Olga Kosheleva, Shahnaz N. Shahbazova:
Bilingual Students Benefit from Using Both Languages. WCSC 2016: 431-437 - [c49]Vladik Kreinovich, Olga Kosheleva, Thongchai Dumrongpokaphan:
Beyond Traditional Applications of Fuzzy Techniques: Main Idea and Case Studies. WCSC 2016: 465-481 - [c48]Olga Kosheleva, Vladik Kreinovich, Laécio Carvalho de Barros:
Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas. WCSC 2016: 525-533 - [c47]Stephen M. Escarzaga, Craig E. Tweedie, Olga Kosheleva, Vladik Kreinovich:
How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing. WCSC 2016: 595-604 - [p14]Vladik Kreinovich, Andrzej Pownuk, Olga Kosheleva:
Combining Interval and Probabilistic Uncertainty: What Is Computable? Advances in Stochastic and Deterministic Global Optimization 2016: 13-32 - [p13]Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta:
Across-the-Board Spending Cuts Are Very Inefficient: A Proof. Causal Inference in Econometrics 2016: 109-118 - [p12]Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta:
Invariance Explains Multiplicative and Exponential Skedactic Functions. Causal Inference in Econometrics 2016: 119-131 - [p11]Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta:
Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation. Causal Inference in Econometrics 2016: 133-152 - 2015
- [j28]Songsak Sriboonchitta, Olga Kosheleva, Hung T. Nguyen:
Why are Vine Copulas so Successful in Econometrics? Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(Supplement-1): 133-142 (2015) - [j27]Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich, Sergei Soloviev:
How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency. J. Adv. Comput. Intell. Intell. Informatics 19(5): 581-584 (2015) - [j26]Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, Rujira Ouncharoen:
50 Years of fuzzy: from discrete to continuous to - Where? J. Intell. Fuzzy Syst. 29(3): 989-1009 (2015) - [c46]Olga Kosheleva, Vladik Kreinovich:
Adding possibilistic knowledge to probabilities makes many problems algorithmically decidable. IFSA-EUSFLAT 2015 - [c45]Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich:
How success in a task depends on the skills level: two uncertainty-based justifications of a semi-heuristic Rasch model. IFSA-EUSFLAT 2015 - [c44]Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich:
How to take into account a student's degree of certainty when evaluating the test results. FIE 2015: 1-5 - [c43]Olga Kosheleva, Craig E. Tweedie, Vladik Kreinovich:
Which bio-diversity indices are most adequate. FUZZ-IEEE 2015: 1-7 - [c42]Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga Kosheleva:
Why Copulas Have Been Successful in Many Practical Applications: A Theoretical Explanation Based on Computational Efficiency. IUKM 2015: 112-125 - [c41]Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta:
Why ARMAX-GARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation. IUKM 2015: 138-150 - [c40]Ildar Z. Batyrshin, Olga Kosheleva:
Every interval-valued metric can be naturally interpreted in fuzzy terms. NAFIPS/WConSC 2015: 1-4 - [c39]Martine Ceberio, Leobardo Valera, Olga Kosheleva, Rodrigo Romero:
Model reduction: Why it is possible and how it can potentially help to control swarms of Unmanned Arial Vehicles (UAVs). NAFIPS/WConSC 2015: 1-6 - [c38]Vladik Kreinovich, Jonathan Quijas, Esthela Gallardo, Caio De Sa Lopes, Olga Kosheleva, Shahnaz N. Shahbazova:
Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, t-norms, t-conorms, and defuzzification. NAFIPS/WConSC 2015: 1-5 - [c37]Joe Lorkowski, Luc Longpré, Olga Kosheleva, Salem Benferhat:
Coming up with a good question is not easy: A proof. NAFIPS/WConSC 2015: 1-6 - [c36]Christian Servin, Vladik Kreinovich, Olga Kosheleva:
From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued are the only distributive options. NAFIPS/WConSC 2015: 1-6 - [c35]Joe Lorkowski, Vladik Kreinovich, Olga Kosheleva:
In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas). SSCI 2015: 1621-1626 - [p10]Vladik Kreinovich, Olga Kosheleva:
Is the World Itself Fuzzy? Physical Arguments and Unexpected Computational Consequences of Zadeh's Vision. Fifty Years of Fuzzy Logic and its Applications 2015: 297-313 - [p9]Olga Kosheleva, Renata Reiser, Vladik Kreinovich:
Formalizing the Informal, Precisiating the Imprecise: How Fuzzy Logic Can Help Mathematicians and Physicists by Formalizing Their Intuitive Ideas. Towards the Future of Fuzzy Logic 2015: 301-321 - 2014
- [j25]Olga Kosheleva:
Standardised tests: uncertainty analysis clarifies the controversy. Int. J. Knowl. Eng. Soft Data Paradigms 4(4): 318-326 (2014) - [c34]Olga Kosheleva, Vladik Kreinovich:
Approximate nature of traditional fuzzy methodology naturally leads to complex-valued fuzzy degrees. FUZZ-IEEE 2014: 1475-1479 - [c33]Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva:
"And"- and "Or"-operations for "double", "triple", etc. fuzzy sets. FUZZ-IEEE 2014: 1765-1771 - [c32]Luc Longpré, Olga Kosheleva, Vladik Kreinovich:
Towards the Possibility of Objective Interval Uncertainty. SCAN 2014: 54-65 - [c31]Karen Richart, Olga Kosheleva, Vladik Kreinovich:
r-bounded fuzzy measures are equivalent to ε-possibility measures. SMC 2014: 1210-1215 - [p8]Eduardo Cabral Balreira, Olga Kosheleva, Vladik Kreinovich:
Algorithmics of Checking whether a Mapping Is Injective, Surjective, and/or Bijective. Constraint Programming and Decision Making 2014: 1-7 - [p7]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Simplicity Is Worse Than Theft: A Constraint-Based Explanation of a Seemingly Counter-Intuitive Russian Saying. Constraint Programming and Decision Making 2014: 9-13 - [p6]Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
Why Tensors? Constraint Programming and Decision Making 2014: 75-78 - [p5]Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
Adding Constraints - A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems. Constraint Programming and Decision Making 2014: 79-83 - [p4]Karen Villaverde, Olga Kosheleva, Martine Ceberio:
Why Ellipsoid Constraints, Ellipsoid Clusters, and Riemannian Space-Time: Dvoretzky's Theorem Revisited. Constraint Programming and Decision Making 2014: 203-207 - 2013
- [c30]Olga Kosheleva, Karen Villaverde, Sergio D. Cabrera:
Back to the future: Advanced control techniques justify-on a new level-traditional education practices. IFSA/NAFIPS 2013: 466-470 - [c29]G. Xiang, Scott Ferson, Lev Ginzburg, Luc Longpré, E. Mayorga, Olga Kosheleva:
Data anonymization that leads to the most accurate estimates of statistical characteristics: Fuzzy-motivated approach. IFSA/NAFIPS 2013: 611-616 - [c28]Olga Kosheleva, Vladik Kreinovich, Thavatchai Ngamsantivong:
Why complex-valued fuzzy? Why complex values in general? A computational explanation. IFSA/NAFIPS 2013: 1233-1236 - [c27]Enrique Portillo, Olga Kosheleva, Vladik Kreinovich:
Towards Discrete Interval, Set, and Fuzzy Computations. SMC 2013: 322-327 - [c26]Vladik Kreinovich, Olga Kosheleva, Jorge Y. Cabrera, Mario Gutiérrez, Thavatchai Ngamsantivong:
A Symmetry-Based Approach to Selecting Membership Functions and Its Relation to Chemical Kinetics. SMC 2013: 339-343 - [c25]Olga Kosheleva, Vladik Kreinovich, Ariel García, Felipe Jovel, Luis A. T. Escobedo, Thavatchai Ngamsantivong:
Computing with Words: Towards a New Tuple-Based Formalization. SMC 2013: 344-349 - [c24]Olga Kosheleva, Vladik Kreinovich, Thavatchai Ngamsantivong:
Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets, and This Can Help to Fuzzify Crisp Notions. WCSC 2013: 327-337 - 2012
- [c23]Olga Kosheleva, Karen Villaverde:
How to make sure that students spend enough time studying: Fuzzy-motivated optimization approach to selecting a grading policy. FUZZ-IEEE 2012: 1-7 - [c22]Jaime Nava, Olga Kosheleva, Vladik Kreinovich:
Why bernstein polynomials are better: Fuzzy-inspired justification. FUZZ-IEEE 2012: 1-6 - [c21]Olga Kosheleva, Vladik Kreinovich:
How to divide students into groups so as to optimize learning: Towards a solution to a pedagogy-related optimization problem. SMC 2012: 1948-1953 - [p3]Olga Kosheleva, Vladik Kreinovich:
Can We Learn Algorithms from People Who Compute Fast: An Indirect Analysis in the Presence of Fuzzy Descriptions. Soft Computing in Humanities and Social Sciences 2012: 267-275 - 2011
- [c20]Karen Villaverde, Olga Kosheleva:
How to Reconstruct the System's Dynamics by Differentiating Interval-Valued and Set-Valued Functions. RSFDGrC 2011: 183-190 - 2010
- [j24]Paulo Pinheiro da Silva, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich:
How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study. J. Adv. Comput. Intell. Intell. Informatics 14(6): 700-707 (2010) - [c19]Olga Kosheleva, Martine Ceberio:
Why polynomial formulas in soft computing, decision making, etc.? FUZZ-IEEE 2010: 1-5 - [c18]Vladik Kreinovich, Olga Kosheleva:
Towards a more natural proof of metrization theorem for space-times. FUZZ-IEEE 2010: 1-8 - [c17]Karen Villaverde, Olga Kosheleva:
Towards more detailed value-added teacher assessments. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2009
- [j23]Olga Kosheleva, Vladik Kreinovich:
Egyptian Fractions Revisited. Informatics Educ. 8(1): 35-48 (2009) - [j22]Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, Scott Ferson:
Trade-off between sample size and accuracy: Case of measurements under interval uncertainty. Int. J. Approx. Reason. 50(8): 1164-1176 (2009) - [j21]Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich:
Decision making beyond arrow's "impossibility theorem, " with the analysis of effects of collusion and mutual attraction. Int. J. Intell. Syst. 24(1): 27-47 (2009) - [c16]Olga Kosheleva:
Early Start Can Inhibit Learning: Towards A New Explanation. IFSA/EUSFLAT Conf. 2009: 438-442 - [c15]Karen Villaverde, Olga Kosheleva:
Uncertainty Can Decrease Privacy: an observation. IFSA/EUSFLAT Conf. 2009: 455-459 - [c14]Olga Kosheleva:
Can We Learn Algorithms from People Who Compute Fast: an indirect analysis in the presence of fuzzy descriptions. IFSA/EUSFLAT Conf. 2009: 1394-1397 - [c13]Oscar Castillo, Patricia Melin, J. Esteban Gamez, Vladik Kreinovich, Olga Kosheleva:
Intelligence techniques are needed to further enhance the advantage of groups with diversity in problem solving. HIMA 2009: 48-55 - [p2]Hung T. Nguyen, Vladik Kreinovich, J. Esteban Gamez, François Modave, Olga Kosheleva:
Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas. Foundations of Computational Intelligence (2) 2009: 53-74 - 2008
- [j20]Vladik Kreinovich, Olga Kosheleva:
Computational complexity of determining which statements about causality hold in different space-time models. Theor. Comput. Sci. 405(1-2): 50-63 (2008) - [c12]Julio C. Urenda, Olga Kosheleva:
How to reconcile physical theories with the idea of free will: From analysis of a simple model to interval and fuzzy approaches. FUZZ-IEEE 2008: 1024-1029 - [c11]J. Esteban Gamez, François Modave, Olga Kosheleva:
Selecting the most representative sample is NP-hard: Need for expert (fuzzy) knowledge. FUZZ-IEEE 2008: 1069-1074 - [p1]Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, Scott Ferson:
Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 45-56 - 2007
- [j19]Olga Kosheleva, Ana Medina-Rusch, Vera Ioudina:
Pre-Service Teacher Training in Mathematics Using Tablet PC Technology. Informatics Educ. 6(2): 321-334 (2007) - [j18]Daniel Berleant, Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen:
Unimodality, Independence Lead to NP-Hardness of Interval Probability Problems. Reliab. Comput. 13(3): 261-282 (2007) - 2006
- [j17]Daniel Berleant, Fábio Gagliardi Cozman, Olga Kosheleva, Vladik Kreinovich:
Dealing with Imprecise Probabilities: Interval-Related Talks at ISIPTA'05. Reliab. Comput. 12(2): 153-165 (2006) - [j16]Olga Kosheleva, Bryan Usevitch, Sergio D. Cabrera, Edward Vidal Jr.:
Rate distortion optimal bit allocation methods for volumetric data using JPEG 2000. IEEE Trans. Image Process. 15(8): 2106-2112 (2006) - 2005
- [c10]Andrei M. Finkelstein, Olga Kosheleva, Vladik Kreinovich, Scott A. Starks, Hung T. Nguyen:
To properly reflect physicists' reasoning about randomness, we also need a maxitive (possibility) measure. FUZZ-IEEE 2005: 1044-1049 - [c9]Olga Kosheleva, Vladik Kreinovich, Günter Mayer, Hung T. Nguyen:
Computing the cube of an interval matrix is NP-Hard. SAC 2005: 1449-1453 - 2004
- [j15]Olga Kosheleva:
On the optimal choice of quality metric in image compression: a soft computing approach. Soft Comput. 8(4): 268-273 (2004) - [c8]Olga Kosheleva, Bryan Usevitch, Sergio D. Cabrera, Edward Vidal Jr.:
MSE Optimal Bit Rate Allocation in the Application of JPEG2000 Part 2 to Meteorological Data. Data Compression Conference 2004: 546 - [c7]Olga Kosheleva, Sergio D. Cabrera, Bryan Usevitch, Edward Vidal Jr.:
Compressing 3D Measurement Data Under Interval Uncertainty. PARA 2004: 142-150 - 2003
- [j14]Rami Al-Jamal, Samir Manoli, Alejandro E. Brito, Olga Kosheleva:
Interval + Communications = Walsh: For signal multiplexing under interval uncertainty, Walsh functions are optimal. J. Intell. Fuzzy Syst. 14(1): 1-6 (2003) - [c6]Olga Kosheleva, Alberto Aguirre, Sergio D. Cabrera, Edward Vidal Jr.:
Assessment of KLT and bit-allocation strategies in the application of JPEG 2000 to the battlescale forecast meteorological data. IGARSS 2003: 3589-3591 - [c5]Paul J. Tanenbaum, Carlos de la Mora, Piotr Wojciechowski, Olga Kosheleva, Vladik Kreinovich, Scott A. Starks, Alexandr V. Kuzminykh:
Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order. LSSC 2003: 276-283 - 2002
- [c4]Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen:
On the Optimal Choice of Quality Metric in Image Compression. SSIAI 2002: 116-120 - [c3]Olga Kosheleva, Sergio D. Cabrera:
Application of Task-Specific Metrics in JPEG2000 ROI Compression. SSIAI 2002: 163-167 - 2001
- [j13]Keith Worden, Roberto A. Osegueda, Carlos Ferregut, Soheil Nazarian, Debra L. George, Mary J. George, Vladik Kreinovich, Olga Kosheleva, Sergio D. Cabrera:
Interval Methods in Non-Destructive Testing of Material Structures. Reliab. Comput. 7(4): 341-352 (2001)
1990 – 1999
- 1999
- [j12]Olga Kosheleva, Vladik Kreinovich:
Error Estimation for Indirect Measurements: Interval Computation Problem Is (Slightly) Harder Than a Similar Probabilistic Computational Problem. Reliab. Comput. 5(1): 81-95 (1999) - [j11]Olga Kosheleva, Sergio D. Cabrera, Glenn A. Gibson, Sreedhar Cherukuri:
Interval Estimates for Signal Processing: Special Purpose Hardware. Reliab. Comput. 5(2): 175-196 (1999) - [j10]Olga Kosheleva, Vladik Kreinovich:
Only Intervals Preserve the Invertibility of Arithmetic Operations. Reliab. Comput. 5(4): 385-394 (1999) - 1998
- [j9]Chitta Baral, Michael Gelfond, Olga Kosheleva:
Expanding Queries to Incomplete Databases by Interpolating General Logic Programs. J. Log. Program. 35(3): 195-230 (1998) - [j8]Alexander Levichev, Olga Kosheleva:
Intervals in Space-Time: A. D. Alexandrov is 85. Reliab. Comput. 4(1): 109-112 (1998) - [j7]Olga Kosheleva, Piet G. Vroegindeweij:
When Is the Product of Intervals Also an Interval? Reliab. Comput. 4(2): 179-190 (1998) - [j6]Alejandro E. Brito, Olga Kosheleva:
Interval + Image = Wavelet: For Image Processing under Interval Uncertainty, Wavelets Are Optimal. Reliab. Comput. 4(3): 291-301 (1998) - [j5]Olga Kosheleva:
Hilbert Problems (Almost) 100 Years Later (From the Viewpoint of Interval Computations). Reliab. Comput. 4(4): 399-403 (1998) - 1997
- [j4]Bernadette Bouchon-Meunier, Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen:
Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible. Fuzzy Sets Syst. 91(2): 155-163 (1997) - [j3]Olga Kosheleva, Sergio D. Cabrera, Glenn A. Gibson, Misha Koshelev:
Fast implementations of fuzzy arithmetic operations using fast Fourier transform (FFT). Fuzzy Sets Syst. 91(2): 269-277 (1997) - 1996
- [j2]Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich:
Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems. Int. J. Intell. Syst. 11(5): 295-326 (1996) - [c2]Chitlur Nagabhushan, Olga Kosheleva, Sergio D. Cabrera, Glenn A. Gibson:
Design of Radix-2 and Radix-4 FFT Processors Using a Modular Architecture Family. PDPTA 1996: 589-599 - 1994
- [j1]Olga Kosheleva, Vladik Kreinovich:
An Application of Logic to Combinatorial Geometry: How Many Tetrahedra are Equidecomposable with a Cube? Math. Log. Q. 40: 31-34 (1994) - 1993
- [c1]Chitta Baral, Michael Gelfond, Olga Kosheleva:
Approximating General Logic Programs. ILPS 1993: 181-198
Coauthor Index
[j56] [c132] [p79] [p78] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [p77] [p76] [p75] [p74] [p73] [p72] [p71] [p70] [p68] [p67] [p66] [p65] [p64] [p63] [p62] [p61] [p60] [p59] [p58] [p57] [p56] [p55] [p54] [p53] [p52] [p51] [p50] [p49] [p48] [p47] [p46] [p45] [p44] [p43] [p42] [p41] [p40] [p39] [p38] [p37] [p36] [p35] [p34] [p33] [p32] [p31] [p30] [p29] [j55] [j54] [j53] [j52] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [p28] [j37] [j36] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [p27] [p26] [p25] [p24] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [p22] [p21] [p20] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [p19] [p18] [c62] [c61] [c60] [c59] [p17] [p16] [p15] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c49] [c48] [c47] [p14] [p13] [p12] [p11] [j27] [j26] [c46] [c45] [c44] [c43] [c42] [c41] [c38] [c36] [c35] [p10] [p9] [c34] [c33] [c32] [c31] [p8] [p7] [p6] [p5] [c28] [c27] [c26] [c25] [c24] [c22] [c21] [p3] [j24] [c18] [j23] [j22] [j21] [c13] [p2] [j20] [p1] [j18] [j17] [c10] [c9] [c5] [c4] [j13] [j12] [j10] [j4] [j2] [j1]
Nguyen Ngoc Thach
aka: Thach Ngoc Nguyen
aka: Thach Ngoc Nguyen
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