Olga Kosheleva

281 papers B 31C 4Misc 5Journal 56Unranked 105
YearRankTypeTitle / Venue / Authors
2025 — conf
A Natural Extension of F-Transform to Triangular and Triangulated Domains Necessitates the Use of Triangular Membership Functions.
EUSFLAT (1)
Hana Zámecníková, Irina Perfilieva, Olga Kosheleva, Vladik Kreinovich
2025 — conf
All We (and LLMs) Need Is Fuzzy: An Argument.
FUZZ
Olga Kosheleva, Vladik Kreinovich
2025 — conf
How Shapley Value and Its Generalizations Can Help in the Analysis of Complex Engineering Systems and What Next.
IUKM (2)
Niklas R. Winnewisser, Michael Beer, Olga Kosheleva, Vladik Kreinovich
2025 — conf
How to Deal with High-Impact Low-Probability Events: Theoretical Explanation of the Empirically Successful Fuzzy-Like Technique.
EUSFLAT (2)
Juan Ulloa, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
2025 — conf
How to Share a Success, How to Share a Crisis, and How All This is Related to Fuzzy.
EUSFLAT (2)
Olga Kosheleva, Vladik Kreinovich
2025 B conf
Memories of the Future: Systems, Human, and Cybernetic Aspects of the Emerging Post-AI World.
SMC
Vladik Kreinovich, Miroslav Svitek, Julio C. Urenda, Olga Kosheleva
2025 — conf
What Is Optimal Granularity When Estimating Reliability of a Complex Engineering Systems.
IUKM (2)
Niklas R. Winnewisser, Michael Beer, Olga Kosheleva, Vladik Kreinovich
2024 J jnl
From Fuzzy to Mobile Fuzzy.
J. Mobile Multimedia
Olga Kosheleva, Vladik Kreinovich, Victor L. Timchenko, Yuriy P. Kondratenko
2024 — conf
From Quantifying and Propagating Uncertainty to Quantifying and Propagating Both Uncertainty and Reliability: Practice-Motivated Approach to Measurement Planning and Data Processing.
IPMU (1)
Niklas R. Winnewisser, Michael Beer, Vladik Kreinovich, Olga Kosheleva
2024 Misc conf
Fuzzy Ideas Explain Fechner Law and Help Detect Relation Between Objects in Video.
SACI
Olga Kosheleva, Vladik Kreinovich, Ahnaf Farhan
2024 — ch.
Fuzzy Techniques Explain the Effectiveness of ReLU Activation Function in Deep Learning.
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2024 Misc conf
Gifted and Talented: With Others? Separately? Mathematical Analysis of the Problem.
SIGITE
Olga Kosheleva, Vladik Kreinovich
2024 Misc ed.
The 25th Annual Conference on Information Technology Education, SIGITE 2024, El Paso, TX, USA, October 10-12, 2024
SIGITE
Christian Servin, Olga Kosheleva
2024 B conf
Towards an Optimal Design: What Can We Recommend to Elon Musk?
SMC
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen
2024 — ch.
Why 6-Labels Uncertainty Scale in Geosciences: Probability-Based Explanation.
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
Aaron Velasco, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
A General Commonsense Explanation of Several Medical Results.
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Additional Spatial Dimensions Can Help Speed Up Computations.
Decision Making Under Uncertainty and Constraints
Luc Longpré, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
An Argument in Favor of Piecewise-Constant Membership Functions.
Uncertainty, Constraints, and Decision Making
Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
As Complexity Rises, Meaningful Statements Lose Precision - But Why?
Decision Making Under Uncertainty and Constraints
Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations.
Decision Making Under Uncertainty and Constraints
Luc Longpré, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Blessings, God, Sacrifices: Possible Rational Explanations of Biblical Ideas.
Decision Making Under Uncertainty and Constraints
Olga Kosheleva, Vladik Kreinovich
2023 — conf
Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology.
NAFIPS
Cliff A. Joslyn, Andrés Ortiz-Muñoz, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
2023 — conf
Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions.
NAFIPS
Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Günter Mayer
2023 — ch.
Data Processing Under Fuzzy Uncertainty: Towards More Accurate Algorithms.
Uncertainty, Constraints, and Decision Making
Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Dimension Compactification Naturally Follows from First Principles.
Decision Making Under Uncertainty and Constraints
Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Epistemic Versus Aleatory: Case of Interval Uncertainty.
Uncertainty, Constraints, and Decision Making
Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set.
Uncertainty, Constraints, and Decision Making
Juan Carlos Figueroa García, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Everyone is Above Average: Is It Possible? Is It Good?
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — conf
Fast - Asymptotically Optimal - Methods for Determining the Optimal Number of Features.
IUKM (1)
Saeid Tizpaz-Niari, Luc Longpré, Olga Kosheleva, Vladik Kreinovich
2023 — conf
Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty.
NAFIPS
Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Lev Ginzburg
2023 — ch.
Freedom of Will, Non-uniqueness of Cauchy Problem, Fractal Processes, Renormalization, Phase Transitions, and Stealth Aircraft.
Uncertainty, Constraints, and Decision Making
Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
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
Julio C. Urenda, Sean R. Aguilar, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Gödel's Proof of Existence of God Revisited.
Decision Making Under Uncertainty and Constraints
Olga Kosheleva, Vladik Kreinovich
2023 — conf
High-Impact Low-Probability Events are Even More Important Than it is Usually Assumed.
NAFIPS
Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Historical Diversity Through Base-10 Representation of Mayan Math.
Decision Making Under Uncertainty and Constraints
Julian Viera, Olga Kosheleva
2023 — conf
How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance.
NAFIPS
Palvi Aggarwal, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How Probable is a Revolution? A Natural ReLU-Like Formula That Fits the Historical Data.
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How to Best Write Research Papers: Basic English? Sophisticated English?
Decision Making Under Uncertainty and Constraints
Martine Ceberio, Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How to Deal with Conflict of Interest Situations When Selecting the Best Submission.
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression.
Uncertainty, Constraints, and Decision Making
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How to Detect (and Analyze) Independent Subsystems of a Black-Box (or Grey-Box) System.
Uncertainty, Constraints, and Decision Making
Saeid Tizpaz-Niari, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How to Detect the Fundamental Frequency: Approach Motivated by Soft Computing and Computational Complexity.
Uncertainty, Constraints, and Decision Making
Eric Freudenthal, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How to Make Quantum Ideas Less Counter-Intuitive: A Simple Analysis of Measurement Uncertainty Can Help.
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik.
Decision Making Under Uncertainty and Constraints
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
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
Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
2023 — conf
Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory.
NAFIPS
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Lev Landau's Marital Advice Explained.
Decision Making Under Uncertainty and Constraints
Olga Kosheleva, Vladik Kreinovich
2023 — conf
People Prefer More Information About Uncertainty, but Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon.
NAFIPS
Jieqiong Zhao, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Physical Meaning Often Leads to Natural Derivations in Elementary Mathematics: On the Examples of Solving Quadratic and Cubic Equations.
Uncertainty, Constraints, and Decision Making
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Really Good Theorems Are Those That End Their Life as Definitions: Why.
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Selfish Gene Theory Explains Oedipus Complex.
Decision Making Under Uncertainty and Constraints
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Shall We Ignore All Intermediate Grades?
Decision Making Under Uncertainty and Constraints
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Towards Better Ways to Compute the Overall Grade for a Class.
Uncertainty, Constraints, and Decision Making
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023 — conf
What Do Goedel's Theorem and Arrow's Theorem have in Common: A Possible Answer to Arrow's Question.
NAFIPS
Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
What Is 1/0 from the Practical Viewpoint: A Pedagogical Note.
Decision Making Under Uncertainty and Constraints
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
What if There Are Too Many Outliers?
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — conf
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation.
SSCI
Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2023 — ch.
Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions?
Decision Making Under Uncertainty and Constraints
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Aspirational Goals: Geometric Explanation.
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Base-20, Base-40, and Base-60 Number Systems?
Decision Making Under Uncertainty and Constraints
Sean R. Aguilar, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Chomsky Normal Form: A Pedagogical Note.
Decision Making Under Uncertainty and Constraints
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Convex Combination is an Effective Crossover Operation in Continuous Optimization: A Theoretical Explanation.
Uncertainty, Constraints, and Decision Making
Kelly Cohen, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
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
Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
2023 — conf
Why Fractional Fuzzy.
EUSFLAT/AGOP
Mehran Mazandarani, Olga Kosheleva, Vladik Kreinovich
2023 — conf
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation.
SSCI
Orsolya Csiszár, Gábor Csiszár, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2023 — ch.
Why Geological Regions?
Decision Making Under Uncertainty and Constraints
Daniela Flores, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Hate: Analysis Based on Decision Theory.
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation.
Decision Making Under Uncertainty and Constraints
Julio C. Urenda, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — conf
Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? a General Explanation.
IUKM (1)
Edgar Daniel Rodriguez Velasquez, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Physical Power Laws Usually Have Rational Exponents.
Uncertainty, Constraints, and Decision Making
Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Rarity Score Is a Good Evaluation of a Non-Fungible Token.
Uncertainty, Constraints, and Decision Making
Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Self-Esteem Helps to Solve Problems: An Algorithmic Explanation.
Uncertainty, Constraints, and Decision Making
Oscar Ortiz, Henry Salgado, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Semi-supervised Learning Makes Sense: A Pedagogical Note.
Decision Making Under Uncertainty and Constraints
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Should Exactly 1/4 Be Returned to the Original Owner: An Economic Explanation of an Ancient Recommendation.
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Some Theoretically Possible Representations of Natural Numbers Were Historically Used and Some Were Not: An Algorithm-Based Explanation.
Uncertainty, Constraints, and Decision Making
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Would Anyone Invest in a High-Risk Low-Profit Enterprise?
Uncertainty, Constraints, and Decision Making
Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why ∞ is a Reasonable Symbol for Infinity.
Decision Making Under Uncertainty and Constraints
Olga Kosheleva, Vladik Kreinovich
2022 — conf
Commonsense-Continuous Dynamical Systems - Stationary States, Prediction, and Reconstruction of the Past: Fuzzy-Based Analysis.
NAFIPS
Olga Kosheleva, Vladik Kreinovich
2022 B conf
Data Processing under Fuzzy Uncertainty: Towards More Efficient Algorithms.
FUZZ-IEEE
Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich
2022 — conf
How to Elicit Complex-Valued Fuzzy Degrees.
NAFIPS
Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
2022 J jnl
How to Take All Available Information into Account in Fuzzy Decision Making: Beyond Traditional "And" - and "Or" - Operations.
J. Multiple Valued Log. Soft Comput.
Vladik Kreinovich, Olga Kosheleva
2022 — conf
Invariance Explains Empirical Success of Many Intelligent Techniques.
IS
Olga Kosheleva, Vladik Kreinovich
2022 J jnl
Invariance-Based Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning.
Adv. Artif. Intell. Mach. Learn.
Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
2022 J jnl
Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs.
Int. J. Comput.
Vladik Kreinovich, Oscar Galindo, Olga Kosheleva
2022 — conf
Need for Techniques Intermediate Between Interval and Probabilistic Ones.
PPAM (2)
Olga Kosheleva, Vladik Kreinovich
2022 — conf
Seemingly Counter-Intuitive Features of Good-to-Great Companies Actually Make Perfect Sense: Possible Algorithmics-Based Explanations.
IS
Francisco Zapata, Eric Smith, Olga Kosheleva, Vladik Kreinovich
2022 — conf
Why 1/(1+d) Is an Effective Distance-Based Similarity Measure: Two Explanations.
IS
Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2022 — conf
Why Gaussian Copulas Are Ubiquitous in Economics: Fuzzy-Related Explanation.
NAFIPS
Chon Van Le, Olga Kosheleva, Vladik Kreinovich
2022 — conf
Why People Tend to Overestimate Joint Probabilities.
IPMU (1)
Olga Kosheleva, Vladik Kreinovich
2022 J jnl
Why neural networks in the first place: a theoretical explanation.
J. Intell. Fuzzy Syst.
Jonatan M. Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2021 — conf
A Natural Formalization of Changing-One's-Mind Leads to Square Root of "Not" and to Complex-Valued Fuzzy Logic.
NAFIPS
Olga Kosheleva, Vladik Kreinovich
2021 J jnl
Amanda Jansen,
J. Intell. Fuzzy Syst.
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2021 J jnl
Djuro G. Zrilic
J. Intell. Fuzzy Syst.
Olga Kosheleva, Vladik Kreinovich
2021 — conf
Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon.
NAFIPS
Olga Kosheleva, Vladik Kreinovich
2021 J jnl
Estimating a probability distribution corresponding to the negation of a property.
Soft Comput.
Uyen Pham, Ildar Z. Batyrshin, Nailya I. Kubysheva, Olga Kosheleva
2021 J jnl
Even in simple economic systems, equilibrium can be non-unique: an example.
Soft Comput.
Nancy Solis García, José Guadalupe Flores Muñiz, Viacheslav Kalashnikov, Nataliya I. Kalashnykova, Olga Kosheleva
2021 — conf
Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout.
NAFIPS
Francisco Zapata, Olga Kosheleva, Vladik Kreinovich
2021 — conf
How General Is Fuzzy Decision Making?
IFSA/EUSFLAT/AGOP
Olga Kosheleva, Vladik Kreinovich
2021 — conf
How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty.
NAFIPS
Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
2021 J jnl
How effective are we: towards a more convincing Stochastic Frontier analysis.
Soft Comput.
Nguyen Ngoc Thach, Laura Berrout, Olga Kosheleva
2021 J jnl
Hung T. Nguyen, Carol L. Walker, and Elbert A. Walker
J. Intell. Fuzzy Syst.
Olga Kosheleva, Vladik Kreinovich
2021 J jnl
Impact of super heavy load vehicles on transportation infrastructure: economic aspects.
Soft Comput.
Nguyen Ngoc Thach, Ali Morovatdar, Reza S. Ashtiani, Olga Kosheleva
2021 J jnl
Invariance-based approach: general methods and pavement engineering case study.
Int. J. Gen. Syst.
Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva
2021 J jnl
Joseph Henrich,
J. Intell. Fuzzy Syst.
Olga Kosheleva, Vladik Kreinovich
2021 J jnl
Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview.
Entropy
Vladik Kreinovich, Olga Kosheleva
2021 — conf
Mexican Folk Arithmetic Algorithm Makes Perfect Sense.
NAFIPS
Julio C. Urenda, Christian Servin, Olga Kosheleva, Vladik Kreinovich
2021 J jnl
Negations of Probability Distributions: A Survey.
Computación y Sistemas
Ildar Z. Batyrshin, Nailya I. Kubysheva, Venera Bayrasheva, Olga Kosheleva, Vladik Kreinovich
2021 — conf
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields.
SSCI
Michael Beer, Olga Kosheleva, Vladik Kreinovich
2021 — conf
What Teachers Can Learn from Machine Learning.
NAFIPS
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2021 J jnl
When to stop testing software: economic approach.
Soft Comput.
Nguyen Ngoc Thach, Francisco Zapata, Olga Kosheleva
2021 — conf
While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible.
SSCI
Ander Gray, Scott Ferson, Olga Kosheleva, Vladik Kreinovich
2021 — conf
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI?
NAFIPS
Kelly Cohen, Laxman Bokati, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2021 — conf
Why Kappa Regression?
IFSA/EUSFLAT/AGOP
Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, György Eigner, Olga Kosheleva, Vladik Kreinovich
2021 J jnl
Why linear expressions in discounting and in empathy: a symmetry-based explanation.
Soft Comput.
Supanika Leurcharusmee, Laxman Bokati, Olga Kosheleva
2021 J jnl
Wolfram Eilenberger
J. Intell. Fuzzy Syst.
Olga Kosheleva, Vladik Kreinovich
2021 — ch.
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
Vladik Kreinovich, Olga Kosheleva, Michael Zakharevich
2020 C conf
Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well.
IV
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2020 — ch.
Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas.
Decision Making under Constraints
Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2020 — conf
Deep Learning (Partly) Demystified.
ISMSI
Vladik Kreinovich, Olga Kosheleva
2020 — conf
Equations for Which Newton's Method Never Works: Pedagogical Examples.
NAFIPS
Leobardo Valera, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020 — conf
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples.
NAFIPS
Julio C. Urenda, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2020 J jnl
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
Laxman Bokati, Hoang Phuong Nguyen, Olga Kosheleva, Vladik Kreinovich
2020 — conf
How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas.
MICAI (1)
Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
2020 J jnl
How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: A Neural Approach.
J. Adv. Comput. Intell. Intell. Informatics
Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
2020 — ch.
Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable.
Decision Making under Constraints
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020 C conf
Let Us Use Negative Examples in Regression-Type Problems Too.
IV
Jonatan M. Contreras, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Martine Ceberio
2020 — conf
Optimal Search Under Constraints.
NAFIPS
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020 — conf
Relativistic Effects Can Be Used to Achieve a Universal Square-Root (Or Even Faster) Computation Speedup.
Fields of Logic and Computation III
Olga Kosheleva, Vladik Kreinovich
2020 — ch.
Reverse Mathematics Is Computable for Interval Computations.
Decision Making under Constraints
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020 — conf
Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms.
SoSE
Deepak K. Tosh, Oscar Galindo, Vladik Kreinovich, Olga Kosheleva
2020 — ch.
When We Know the Number of Local Maxima, Then We Can Compute All of Them.
Decision Making under Constraints
Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2020 — conf
Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility.
NAFIPS
Olga Kosheleva, Vladik Kreinovich
2020 — conf
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria.
IPMU (1)
Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2020 — conf
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
Vladik Kreinovich, Martine Ceberio, Olga Kosheleva
2020 — ch.
Why Decimal System and Binary System Are the Most Widely Used: A Possible Explanation.
Decision Making under Constraints
Gerardo Muela, Olga Kosheleva
2020 — conf
Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing.
ISMSI
Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, Uram Anibal Sosa Aguirre
2020 — conf
Why Majority Rule Does Not Work in Quantum Computing: A Pedagogical Explanation.
MICAI (1)
Oscar Galindo, Olga Kosheleva, Vladik Kreinovich
2020 — conf
Why Spiking Neural Networks Are Efficient: A Theorem.
IPMU (1)
Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2020 B conf
Why Squashing Functions in Multi-Layer Neural Networks.
SMC
Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, Olga Kosheleva, Vladik Kreinovich, György Eigner
2019 — ch.
Algorithmic Need for Subcopulas.
Structural Changes and their Econometric Modeling
Nguyen Ngoc Thach, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
2019 J jnl
Anatole France's Statement on Education Transformed into a Theorem.
Russ. Digit. Libr. J.
Mourat Tchoshanov, Olga Kosheleva, Vladik Kreinovich
2019 B conf
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates.
FUZZ-IEEE
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré
2019 — conf
Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data.
ECONVN
Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
2019 — conf
Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?
IFSA/NAFIPS
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2019 J jnl
Contrast Similarity Measures of Fuzzy Sets.
Computación y Sistemas
Ildar Z. Batyrshin, Olga Kosheleva, Vladik Kreinovich, Nailya I. Kubysheva, Raouf Akhtiamov
2019 J jnl
Egyptian Fractions Re-Revisited.
Russ. Digit. Libr. J.
Olga Kosheleva, Vladik Kreinovich, Francisco Zapata
2019 B conf
High Concentrations Naturally Lead to Fuzzy-Type Interactions and to Gravitational Wave Bursts.
FUZZ-IEEE
Oscar Galindo, Olga Kosheleva, Vladik Kreinovich
2019 J jnl
How to Assign Grades to Tasks so as to Maximize Student Efforts.
Russ. Digit. Libr. J.
Laxman Bokati, Vyacheslav Kalashnikov, Nataliya I. Kalashnykova, Olga Kosheleva, Vladik Kreinovich
2019 J jnl
How to Assign Points for Chores.
Russ. Digit. Libr. J.
Olga Kosheleva, Vladik Kreinovich
2019 — conf
How to Fuse Expert Knowledge: Not Always "And" but a Fuzzy Combination of "And" and "Or".
IFSA/NAFIPS
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2019 — ch.
How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications.
Structural Changes and their Econometric Modeling
Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich
2019 B conf
In Its Usual Formulation, Fuzzy Computation Is, In General, NP-Hard, But a More Realistic Formulation Can Make It Feasible.
FUZZ-IEEE
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré
2019 — conf
Logarithms Are Not Infinity: A Rational Physics-Related Explanation of the Mysterious Statement by Lev Landau.
IFSA/NAFIPS
Francisco Zapata, Olga Kosheleva, Vladik Kreinovich
2019 — conf
Physics's Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional.
EUSFLAT Conf.
Olga Kosheleva, Vladik Kreinovich
2019 — conf
Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification.
IUKM
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2019 — ch.
Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics.
Structural Changes and their Econometric Modeling
Songsak Sriboonchitta, Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen
2019 — conf
Softmax and McFadden's Discrete Choice Under Interval (and Other) Uncertainty.
PPAM (2)
Bartlomiej Jacek Kubica, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
2019 — conf
Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation.
IFSA/NAFIPS
Olga Kosheleva, Christian Servin, Vladik Kreinovich
2019 — conf
Why Quantum (Wave Probability) Models Are a Good Description of Many Non-quantum Complex Systems, and How to Go Beyond Quantum Models.
ECONVN
Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen
2019 J jnl
Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local Ones.
Axioms
Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen
2019 J jnl
Why Use a Fuzzy Partition in F-Transform?
Axioms
Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta
2018 — conf
An Ancient Bankruptcy Solution Makes Economic Sense.
ECONVN
Anh Hoang Ly, Michael Zakharevich, Olga Kosheleva, Vladik Kreinovich
2018 — conf
Current Quantum Cryptography Algorithm Is Optimal: A Proof.
SSCI
Oscar Galindo, Vladik Kreinovich, Olga Kosheleva
2018 — conf
Do It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideas.
IUKM
Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Thongchai Dumrongpokaphan
2018 — conf
Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond.
ECONVN
Vladik Kreinovich, Anh Hoang Ly, Olga Kosheleva, Songsak Sriboonchitta
2018 — ch.
How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty.
Predictive Econometrics and Big Data
Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga Kosheleva
2018 — book
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
Olga Kosheleva, Karen Villaverde
2018 B conf
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
Christian Servin, Olga Kosheleva, Vladik Kreinovich
2018 — ch.
How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy.
Predictive Econometrics and Big Data
Vladik Kreinovich, Thongchai Dumrongpokaphan, Hung T. Nguyen, Olga Kosheleva
2018 — conf
Maximum Entropy Beyond Selecting Probability Distributions.
ECONVN
Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich
2018 B conf
Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections.
FUZZ-IEEE
Olga Kosheleva, Vladik Kreinovich
2018 — conf
Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness.
IUKM
Kittawit Autchariyapanitkul, Olga Kosheleva, Vladik Kreinovich, Songsak Sriboonchitta
2018 — conf
Why Student Distributions? Why Matern's Covariance Model? A Symmetry-Based Explanation.
ECONVN
Stephen Schön, Gaël Kermarrec, Boris Kargoll, Ingo Neumann, Olga Kosheleva, Vladik Kreinovich
2018 — conf
Why Triangular Membership Functions are Often Efficient in F-transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets.
IPMU (2)
Olga Kosheleva, Vladik Kreinovich
2017 — ch.
Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas.
Robustness in Econometrics
Olga Kosheleva, Vladik Kreinovich, Songsak Sriboonchitta
2017 — ch.
How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES.
Robustness in Econometrics
Olga Kosheleva, Vladik Kreinovich, Thongchai Dumrongpokaphan
2017 — conf
How to Gauge the Accuracy of Fuzzy Control Recommendations: A Simple Idea.
NAFIPS
Patricia Melin, Oscar Castillo, Andrzej Pownuk, Olga Kosheleva, Vladik Kreinovich
2017 B conf
It is possible to determine exact fuzzy values based on an ordering of interval-valued or set-valued fuzzy degrees.
FUZZ-IEEE
Gerardo Muela, Olga Kosheleva, Vladik Kreinovich, Christian Servin
2017 — ch.
Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty.
Robustness in Econometrics
Songsak Sriboonchitta, Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva
2017 — conf
Uncertain information fusion and knowledge integration: How to take reliability into account.
IFSA-SCIS
Hung T. Nguyen, Kittawit Autchariyapanitkul, Olga Kosheleva, Vladik Kreinovich
2017 — conf
Which material design is possible under additive manufacturing: A fuzzy approach.
IFSA-SCIS
Francisco Zapata, Olga Kosheleva, Vladik Kreinovich
2016 — ch.
Across-the-Board Spending Cuts Are Very Inefficient: A Proof.
Causal Inference in Econometrics
Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta
2016 — conf
Beyond Traditional Applications of Fuzzy Techniques: Main Idea and Case Studies.
WCSC
Vladik Kreinovich, Olga Kosheleva, Thongchai Dumrongpokaphan
2016 — conf
Bilingual Students Benefit from Using Both Languages.
WCSC
Julian Viera, Olga Kosheleva, Shahnaz N. Shahbazova
2016 — conf
Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas.
WCSC
Olga Kosheleva, Vladik Kreinovich, Laécio Carvalho de Barros
2016 — ch.
Combining Interval and Probabilistic Uncertainty: What Is Computable?
Advances in Stochastic and Deterministic Global Optimization
Vladik Kreinovich, Andrzej Pownuk, Olga Kosheleva
2016 B conf
Fuzzy techniques provide a theoretical explanation for the heuristic ℓp-regularization of signals and images.
FUZZ-IEEE
Fernando Cervantes, Bryan Usevitch, Leobardo Valera, Vladik Kreinovich, Olga Kosheleva
2016 B conf
Fuzzy-inspired hierarchical version of the von Neumann-Morgenstern solutions as a natural way to resolve collaboration-related conflicts.
SMC
Olga Kosheleva, Vladik Kreinovich, Martha Osegueda Escobar
2016 — conf
How resilient modulus of a pavement depends on moisture level: Towards a theoretical justification of a practically important empirical formula.
NAFIPS
Pedro Barragan Olague, Olga Kosheleva, Vladik Kreinovich
2016 — conf
How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing.
WCSC
Stephen M. Escarzaga, Craig E. Tweedie, Olga Kosheleva, Vladik Kreinovich
2016 — conf
How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach.
IUKM
Ildar Z. Batyrshin, Thongchai Dumrongpokaphan, Vladik Kreinovich, Olga Kosheleva
2016 B conf
How to transform partial order between degrees into numerical values.
SMC
Olga Kosheleva, Vladik Kreinovich, Joe Lorkowski, Martha Osegueda Escobar
2016 — ch.
Invariance Explains Multiplicative and Exponential Skedactic Functions.
Causal Inference in Econometrics
Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta
2016 B conf
Membership functions representing a number vs. representing a set: Proof of unique reconstruction.
FUZZ-IEEE
Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva
2016 — conf
Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions.
IUKM
Songsak Sriboonchitta, Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen
2016 — conf
Towards the most robust way of assigning numerical degrees to ordered labels, with possible applications to dark matter and dark energy.
NAFIPS
Olga Kosheleva, Vladik Kreinovich, Martha Osegueda Escobar, Kimberly Kato
2016 — ch.
Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation.
Causal Inference in Econometrics
Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta
2015 J jnl
50 Years of fuzzy: from discrete to continuous to - Where?
J. Intell. Fuzzy Syst.
Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, Rujira Ouncharoen
2015 — conf
Adding possibilistic knowledge to probabilities makes many problems algorithmically decidable.
IFSA-EUSFLAT
Olga Kosheleva, Vladik Kreinovich
2015 — conf
Coming up with a good question is not easy: A proof.
NAFIPS/WConSC
Joe Lorkowski, Luc Longpré, Olga Kosheleva, Salem Benferhat
2015 — conf
Every interval-valued metric can be naturally interpreted in fuzzy terms.
NAFIPS/WConSC
Ildar Z. Batyrshin, Olga Kosheleva
2015 — ch.
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
Olga Kosheleva, Renata Reiser, Vladik Kreinovich
2015 — conf
From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued are the only distributive options.
NAFIPS/WConSC
Christian Servin, Vladik Kreinovich, Olga Kosheleva
2015 J jnl
How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency.
J. Adv. Comput. Intell. Intell. Informatics
Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich, Sergei Soloviev
2015 — conf
How success in a task depends on the skills level: two uncertainty-based justifications of a semi-heuristic Rasch model.
IFSA-EUSFLAT
Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
2015 C conf
How to take into account a student's degree of certainty when evaluating the test results.
FIE
Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
2015 — conf
In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas).
SSCI
Joe Lorkowski, Vladik Kreinovich, Olga Kosheleva
2015 — ch.
Is the World Itself Fuzzy? Physical Arguments and Unexpected Computational Consequences of Zadeh's Vision.
Fifty Years of Fuzzy Logic and its Applications
Vladik Kreinovich, Olga Kosheleva
2015 — conf
Model reduction: Why it is possible and how it can potentially help to control swarms of Unmanned Arial Vehicles (UAVs).
NAFIPS/WConSC
Martine Ceberio, Leobardo Valera, Olga Kosheleva, Rodrigo Romero
2015 — conf
Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, t-norms, t-conorms, and defuzzification.
NAFIPS/WConSC
Vladik Kreinovich, Jonathan Quijas, Esthela Gallardo, Caio De Sa Lopes, Olga Kosheleva, Shahnaz N. Shahbazova
2015 B conf
Which bio-diversity indices are most adequate.
FUZZ-IEEE
Olga Kosheleva, Craig E. Tweedie, Vladik Kreinovich
2015 — conf
Why ARMAX-GARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation.
IUKM
Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta
2015 — conf
Why Copulas Have Been Successful in Many Practical Applications: A Theoretical Explanation Based on Computational Efficiency.
IUKM
Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga Kosheleva
2015 J jnl
Why are Vine Copulas so Successful in Econometrics?
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Songsak Sriboonchitta, Olga Kosheleva, Hung T. Nguyen
2014 B conf
"And"- and "Or"-operations for "double", "triple", etc. fuzzy sets.
FUZZ-IEEE
Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva
2014 — ch.
Adding Constraints - A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems.
Constraint Programming and Decision Making
Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2014 — ch.
Algorithmics of Checking whether a Mapping Is Injective, Surjective, and/or Bijective.
Constraint Programming and Decision Making
Eduardo Cabral Balreira, Olga Kosheleva, Vladik Kreinovich
2014 B conf
Approximate nature of traditional fuzzy methodology naturally leads to complex-valued fuzzy degrees.
FUZZ-IEEE
Olga Kosheleva, Vladik Kreinovich
2014 — ch.
Simplicity Is Worse Than Theft: A Constraint-Based Explanation of a Seemingly Counter-Intuitive Russian Saying.
Constraint Programming and Decision Making
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2014 J jnl
Standardised tests: uncertainty analysis clarifies the controversy.
Int. J. Knowl. Eng. Soft Data Paradigms
Olga Kosheleva
2014 — conf
Towards the Possibility of Objective Interval Uncertainty.
SCAN
Luc Longpré, Olga Kosheleva, Vladik Kreinovich
2014 — ch.
Why Ellipsoid Constraints, Ellipsoid Clusters, and Riemannian Space-Time: Dvoretzky's Theorem Revisited.
Constraint Programming and Decision Making
Karen Villaverde, Olga Kosheleva, Martine Ceberio
2014 — ch.
Why Tensors?
Constraint Programming and Decision Making
Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2014 B conf
r-bounded fuzzy measures are equivalent to ε-possibility measures.
SMC
Karen Richart, Olga Kosheleva, Vladik Kreinovich
2013 B conf
A Symmetry-Based Approach to Selecting Membership Functions and Its Relation to Chemical Kinetics.
SMC
Vladik Kreinovich, Olga Kosheleva, Jorge Y. Cabrera, Mario Gutiérrez, Thavatchai Ngamsantivong
2013 — conf
Back to the future: Advanced control techniques justify-on a new level-traditional education practices.
IFSA/NAFIPS
Olga Kosheleva, Karen Villaverde, Sergio D. Cabrera
2013 B conf
Computing with Words: Towards a New Tuple-Based Formalization.
SMC
Olga Kosheleva, Vladik Kreinovich, Ariel García, Felipe Jovel, Luis A. T. Escobedo, Thavatchai Ngamsantivong
2013 — conf
Data anonymization that leads to the most accurate estimates of statistical characteristics: Fuzzy-motivated approach.
IFSA/NAFIPS
G. Xiang, Scott Ferson, Lev Ginzburg, Luc Longpré, E. Mayorga, Olga Kosheleva
2013 — conf
Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets, and This Can Help to Fuzzify Crisp Notions.
WCSC
Olga Kosheleva, Vladik Kreinovich, Thavatchai Ngamsantivong
2013 B conf
Towards Discrete Interval, Set, and Fuzzy Computations.
SMC
Enrique Portillo, Olga Kosheleva, Vladik Kreinovich
2013 — conf
Why complex-valued fuzzy? Why complex values in general? A computational explanation.
IFSA/NAFIPS
Olga Kosheleva, Vladik Kreinovich, Thavatchai Ngamsantivong
2012 — ch.
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
Olga Kosheleva, Vladik Kreinovich
2012 B conf
How to divide students into groups so as to optimize learning: Towards a solution to a pedagogy-related optimization problem.
SMC
Olga Kosheleva, Vladik Kreinovich
2012 B conf
How to make sure that students spend enough time studying: Fuzzy-motivated optimization approach to selecting a grading policy.
FUZZ-IEEE
Olga Kosheleva, Karen Villaverde
2012 B conf
Why bernstein polynomials are better: Fuzzy-inspired justification.
FUZZ-IEEE
Jaime Nava, Olga Kosheleva, Vladik Kreinovich
2011 — conf
How to Reconstruct the System's Dynamics by Differentiating Interval-Valued and Set-Valued Functions.
RSFDGrC
Karen Villaverde, Olga Kosheleva
2010 J jnl
How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study.
J. Adv. Comput. Intell. Intell. Informatics
Paulo Pinheiro da Silva, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
2010 B conf
Towards a more natural proof of metrization theorem for space-times.
FUZZ-IEEE
Vladik Kreinovich, Olga Kosheleva
2010 B conf
Towards more detailed value-added teacher assessments.
FUZZ-IEEE
Karen Villaverde, Olga Kosheleva
2010 B conf
Why polynomial formulas in soft computing, decision making, etc.?
FUZZ-IEEE
Olga Kosheleva, Martine Ceberio
2009 — conf
Can We Learn Algorithms from People Who Compute Fast: an indirect analysis in the presence of fuzzy descriptions.
IFSA/EUSFLAT Conf.
Olga Kosheleva
2009 J jnl
Decision making beyond arrow's "impossibility theorem, " with the analysis of effects of collusion and mutual attraction.
Int. J. Intell. Syst.
Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich
2009 — conf
Early Start Can Inhibit Learning: Towards A New Explanation.
IFSA/EUSFLAT Conf.
Olga Kosheleva
2009 J jnl
Egyptian Fractions Revisited.
Informatics Educ.
Olga Kosheleva, Vladik Kreinovich
2009 — conf
Intelligence techniques are needed to further enhance the advantage of groups with diversity in problem solving.
HIMA
Oscar Castillo, Patricia Melin, J. Esteban Gamez, Vladik Kreinovich, Olga Kosheleva
2009 — ch.
Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas.
Foundations of Computational Intelligence (2)
Hung T. Nguyen, Vladik Kreinovich, J. Esteban Gamez, François Modave, Olga Kosheleva
2009 J jnl
Trade-off between sample size and accuracy: Case of measurements under interval uncertainty.
Int. J. Approx. Reason.
Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, Scott Ferson
2009 — conf
Uncertainty Can Decrease Privacy: an observation.
IFSA/EUSFLAT Conf.
Karen Villaverde, Olga Kosheleva
2008 J jnl
Computational complexity of determining which statements about causality hold in different space-time models.
Theor. Comput. Sci.
Vladik Kreinovich, Olga Kosheleva
2008 B conf
How to reconcile physical theories with the idea of free will: From analysis of a simple model to interval and fuzzy approaches.
FUZZ-IEEE
Julio C. Urenda, Olga Kosheleva
2008 B conf
Selecting the most representative sample is NP-hard: Need for expert (fuzzy) knowledge.
FUZZ-IEEE
J. Esteban Gamez, François Modave, Olga Kosheleva
2008 — ch.
Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty.
Interval / Probabilistic Uncertainty and Non-Classical Logics
Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, Scott Ferson
2007 J jnl
Pre-Service Teacher Training in Mathematics Using Tablet PC Technology.
Informatics Educ.
Olga Kosheleva, Ana Medina-Rusch, Vera Ioudina
2007 J jnl
Unimodality, Independence Lead to NP-Hardness of Interval Probability Problems.
Reliab. Comput.
Daniel Berleant, Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen
2006 J jnl
Dealing with Imprecise Probabilities: Interval-Related Talks at ISIPTA'05.
Reliab. Comput.
Daniel Berleant, Fábio Gagliardi Cozman, Olga Kosheleva, Vladik Kreinovich
2006 J jnl
Rate distortion optimal bit allocation methods for volumetric data using JPEG 2000.
IEEE Trans. Image Process.
Olga Kosheleva, Bryan Usevitch, Sergio D. Cabrera, Edward Vidal Jr.
2005 Misc conf
Computing the cube of an interval matrix is NP-Hard.
SAC
Olga Kosheleva, Vladik Kreinovich, Günter Mayer, Hung T. Nguyen
2005 B conf
To properly reflect physicists' reasoning about randomness, we also need a maxitive (possibility) measure.
FUZZ-IEEE
Andrei M. Finkelstein, Olga Kosheleva, Vladik Kreinovich, Scott A. Starks, Hung T. Nguyen
2004 — conf
Compressing 3D Measurement Data Under Interval Uncertainty.
PARA
Olga Kosheleva, Sergio D. Cabrera, Bryan Usevitch, Edward Vidal Jr.
2004 B conf
MSE Optimal Bit Rate Allocation in the Application of JPEG2000 Part 2 to Meteorological Data.
Data Compression Conference
Olga Kosheleva, Bryan Usevitch, Sergio D. Cabrera, Edward Vidal Jr.
2004 J jnl
On the optimal choice of quality metric in image compression: a soft computing approach.
Soft Comput.
Olga Kosheleva
2003 C conf
Assessment of KLT and bit-allocation strategies in the application of JPEG 2000 to the battlescale forecast meteorological data.
IGARSS
Olga Kosheleva, Alberto Aguirre, Sergio D. Cabrera, Edward Vidal Jr.
2003 J jnl
Interval + Communications = Walsh: For signal multiplexing under interval uncertainty, Walsh functions are optimal.
J. Intell. Fuzzy Syst.
Rami Al-Jamal, Samir Manoli, Alejandro E. Brito, Olga Kosheleva
2003 — conf
Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order.
LSSC
Paul J. Tanenbaum, Carlos de la Mora, Piotr Wojciechowski, Olga Kosheleva, Vladik Kreinovich, Scott A. Starks, Alexandr V. Kuzminykh
2002 — conf
Application of Task-Specific Metrics in JPEG2000 ROI Compression.
SSIAI
Olga Kosheleva, Sergio D. Cabrera
2002 — conf
On the Optimal Choice of Quality Metric in Image Compression.
SSIAI
Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen
2001 J jnl
Interval Methods in Non-Destructive Testing of Material Structures.
Reliab. Comput.
Keith Worden, Roberto A. Osegueda, Carlos Ferregut, Soheil Nazarian, Debra L. George, Mary J. George, Vladik Kreinovich, Olga Kosheleva, Sergio D. Cabrera
1999 J jnl
Error Estimation for Indirect Measurements: Interval Computation Problem Is (Slightly) Harder Than a Similar Probabilistic Computational Problem.
Reliab. Comput.
Olga Kosheleva, Vladik Kreinovich
1999 J jnl
Interval Estimates for Signal Processing: Special Purpose Hardware.
Reliab. Comput.
Olga Kosheleva, Sergio D. Cabrera, Glenn A. Gibson, Sreedhar Cherukuri
1999 J jnl
Only Intervals Preserve the Invertibility of Arithmetic Operations.
Reliab. Comput.
Olga Kosheleva, Vladik Kreinovich
1998 J jnl
Expanding Queries to Incomplete Databases by Interpolating General Logic Programs.
J. Log. Program.
Chitta Baral, Michael Gelfond, Olga Kosheleva
1998 J jnl
Hilbert Problems (Almost) 100 Years Later (From the Viewpoint of Interval Computations).
Reliab. Comput.
Olga Kosheleva
1998 J jnl
Interval + Image = Wavelet: For Image Processing under Interval Uncertainty, Wavelets Are Optimal.
Reliab. Comput.
Alejandro E. Brito, Olga Kosheleva
1998 J jnl
Intervals in Space-Time: A. D. Alexandrov is 85.
Reliab. Comput.
Alexander Levichev, Olga Kosheleva
1998 J jnl
When Is the Product of Intervals Also an Interval?
Reliab. Comput.
Olga Kosheleva, Piet G. Vroegindeweij
1997 J jnl
Fast implementations of fuzzy arithmetic operations using fast Fourier transform (FFT).
Fuzzy Sets Syst.
Olga Kosheleva, Sergio D. Cabrera, Glenn A. Gibson, Misha Koshelev
1997 J jnl
Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible.
Fuzzy Sets Syst.
Bernadette Bouchon-Meunier, Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen
1996 Misc conf
Design of Radix-2 and Radix-4 FFT Processors Using a Modular Architecture Family.
PDPTA
Chitlur Nagabhushan, Olga Kosheleva, Sergio D. Cabrera, Glenn A. Gibson
1996 J jnl
Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems.
Int. J. Intell. Syst.
Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich
1994 J jnl
An Application of Logic to Combinatorial Geometry: How Many Tetrahedra are Equidecomposable with a Cube?
Math. Log. Q.
Olga Kosheleva, Vladik Kreinovich
1993 — conf
Approximating General Logic Programs.
ILPS
Chitta Baral, Michael Gelfond, Olga Kosheleva