Olga Kosheleva

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 114

Top Venues

NAFIPS

FUZZ-IEEE

J. Intell. Fuzzy Syst.

IUKM

Publications

Olga Kosheleva, Vladik Kreinovich, Victor L. Timchenko, Yuriy P. Kondratenko
From Fuzzy to Mobile Fuzzy. J. Mobile Multimedia 20 (3) (2024)
Olga Kosheleva, Vladik Kreinovich, Ahnaf Farhan
Fuzzy Ideas Explain Fechner Law and Help Detect Relation Between Objects in Video. SACI (2024)
Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Günter Mayer
Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions. NAFIPS (2023)
Saeid Tizpaz-Niari, Luc Longpré, Olga Kosheleva, Vladik Kreinovich
Fast - Asymptotically Optimal - Methods for Determining the Optimal Number of Features. IUKM (1) (2023)
Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
High-Impact Low-Probability Events are Even More Important Than it is Usually Assumed. NAFIPS (2023)
Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Lev Ginzburg
Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty. NAFIPS (2023)
Mehran Mazandarani, Olga Kosheleva, Vladik Kreinovich
Why Fractional Fuzzy. EUSFLAT/AGOP (2023)
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)
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)
Orsolya Csiszár, Gábor Csiszár, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation. SSCI (2023)
Cliff A. Joslyn, Andrés Ortiz-Muñoz, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology. NAFIPS (2023)
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)
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)
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)
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)
Olga Kosheleva, Vladik Kreinovich
Commonsense-Continuous Dynamical Systems - Stationary States, Prediction, and Reconstruction of the Past: Fuzzy-Based Analysis. NAFIPS (2022)
Olga Kosheleva, Vladik Kreinovich
Invariance Explains Empirical Success of Many Intelligent Techniques. IS (2022)
Olga Kosheleva, Vladik Kreinovich
Need for Techniques Intermediate Between Interval and Probabilistic Ones. PPAM (2) (2022)
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)
Vladik Kreinovich, Oscar Galindo, Olga Kosheleva
Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs. Int. J. Comput. 21 (4) (2022)
Olga Kosheleva, Vladik Kreinovich
Why People Tend to Overestimate Joint Probabilities. IPMU (1) (2022)
Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
How to Elicit Complex-Valued Fuzzy Degrees. NAFIPS (2022)
Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
Why 1/(1+d) Is an Effective Distance-Based Similarity Measure: Two Explanations. IS (2022)
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) (2022)
Chon Van Le, Olga Kosheleva, Vladik Kreinovich
Why Gaussian Copulas Are Ubiquitous in Economics: Fuzzy-Related Explanation. NAFIPS (2022)
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) (2022)
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) (2022)
Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich
Data Processing under Fuzzy Uncertainty: Towards More Efficient Algorithms. FUZZ-IEEE (2022)
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)
Christian Servin, Olga Kosheleva, Vladik Kreinovich
What Teachers Can Learn from Machine Learning. NAFIPS (2021)
Kelly Cohen, Laxman Bokati, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? NAFIPS (2021)
Christian Servin, Olga Kosheleva, Vladik Kreinovich
, Stenhouse Publishers, Portsmouth, New Hampshire, 2020. J. Intell. Fuzzy Syst. 40 (2) (2021)
Supanika Leurcharusmee, Laxman Bokati, Olga Kosheleva
Why linear expressions in discounting and in empathy: a symmetry-based explanation. Soft Comput. 25 (12) (2021)
Olga Kosheleva, Vladik Kreinovich
Penguin Press, New York, 2020. J. Intell. Fuzzy Syst. 40 (5) (2021)
Olga Kosheleva, Vladik Kreinovich
, Springer, Cham, Switzerland, 2020. J. Intell. Fuzzy Syst. 40 (5) (2021)
Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva
Invariance-based approach: general methods and pavement engineering case study. Int. J. Gen. Syst. 50 (6) (2021)
Nguyen Ngoc Thach, Francisco Zapata, Olga Kosheleva
When to stop testing software: economic approach. Soft Comput. 25 (12) (2021)
Nguyen Ngoc Thach, Laura Berrout, Olga Kosheleva
How effective are we: towards a more convincing Stochastic Frontier analysis. Soft Comput. 25 (12) (2021)
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) (2021)
Olga Kosheleva, Vladik Kreinovich
(4th edition) CRC Press, Taylor & Francis Book, Boca Raton, Florida, 2019. J. Intell. Fuzzy Syst. 40 (1) (2021)
Uyen Pham, Ildar Z. Batyrshin, Nailya Kubysheva, Olga Kosheleva
Estimating a probability distribution corresponding to the negation of a property. Soft Comput. 25 (12) (2021)
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)
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)
Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty. NAFIPS (2021)
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) (2021)
Michael Beer, Olga Kosheleva, Vladik Kreinovich
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields. SSCI (2021)
Julio C. Urenda, Christian Servin, Olga Kosheleva, Vladik Kreinovich
Mexican Folk Arithmetic Algorithm Makes Perfect Sense. NAFIPS (2021)
Olga Kosheleva, Vladik Kreinovich
, Farrar, Straus, and Giroux, New York, 2020. J. Intell. Fuzzy Syst. 40 (1) (2021)
Vladik Kreinovich, Olga Kosheleva
Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview. Entropy 23 (5) (2021)
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)
Ildar Z. Batyrshin, Nailya I. Kubysheva, Venera Bayrasheva, Olga Kosheleva, Vladik Kreinovich
Negations of Probability Distributions: A Survey. Computación y Sistemas 25 (4) (2021)
Oscar Galindo, Olga Kosheleva, Vladik Kreinovich
Why Majority Rule Does Not Work in Quantum Computing: A Pedagogical Explanation. MICAI (1) (2020)
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)
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) (2020)
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)
Jonatan Contretas, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Martine Ceberio
Let Us Use Negative Examples in Regression-Type Problems Too. IV (2020)
Leobardo Valera, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Equations for Which Newton's Method Never Works: Pedagogical Examples. NAFIPS (2020)
Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
Why Spiking Neural Networks Are Efficient: A Theorem. IPMU (1) (2020)
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)
Julio C. Urenda, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples. NAFIPS (2020)
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) (2020)
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)
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Optimal Search Under Constraints. NAFIPS (2020)
Vladik Kreinovich, Olga Kosheleva
Deep Learning (Partly) Demystified. ISMSI (2020)
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)
Christian Servin, Olga Kosheleva, Vladik Kreinovich
Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well. IV (2020)
Deepak K. Tosh, Oscar Galindo, Vladik Kreinovich, Olga Kosheleva
Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms. SoSE (2020)
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)
Olga Kosheleva, Vladik Kreinovich
Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility. NAFIPS (2020)
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)
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates. FUZZ-IEEE (2019)
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)
Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta
Why Use a Fuzzy Partition in F-Transform? Axioms 8 (3) (2019)
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) (2019)
Bartlomiej Jacek Kubica, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
Softmax and McFadden's Discrete Choice Under Interval (and Other) Uncertainty. PPAM (2) (2019)
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account? IFSA/NAFIPS (2019)
Oscar Galindo, Olga Kosheleva, Vladik Kreinovich
High Concentrations Naturally Lead to Fuzzy-Type Interactions and to Gravitational Wave Bursts. FUZZ-IEEE (2019)
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)
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) (2019)
Olga Kosheleva, Vladik Kreinovich
How to Assign Points for Chores. Russ. Digit. Libr. J. 22 (6) (2019)
Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data. ECONVN (2019)
Mourat Tchoshanov, Olga Kosheleva, Vladik Kreinovich
Anatole France's Statement on Education Transformed into a Theorem. Russ. Digit. Libr. J. 22 (6) (2019)
Olga Kosheleva, Christian Servin, Vladik Kreinovich
Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation. IFSA/NAFIPS (2019)
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)
Olga Kosheleva, Vladik Kreinovich, Francisco Zapata
Egyptian Fractions Re-Revisited. Russ. Digit. Libr. J. 22 (6) (2019)
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)
Ildar Z. Batyrshin, Olga Kosheleva, Vladik Kreinovich, Nailya Kubysheva, Raouf Akhtiamov
Contrast Similarity Measures of Fuzzy Sets. Computación y Sistemas 23 (4) (2019)
Christian Servin, Olga Kosheleva, Vladik Kreinovich
Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification. IUKM (2019)
Anh Hoang Ly, Michael Zakharevich, Olga Kosheleva, Vladik Kreinovich
An Ancient Bankruptcy Solution Makes Economic Sense. ECONVN (2018)
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)
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)
Olga Kosheleva, Vladik Kreinovich
Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections. FUZZ-IEEE (2018)
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)
Oscar Galindo, Vladik Kreinovich, Olga Kosheleva
Current Quantum Cryptography Algorithm Is Optimal: A Proof. SSCI (2018)
Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich
Maximum Entropy Beyond Selecting Probability Distributions. ECONVN (2018)
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)
Vladik Kreinovich, Anh Hoang Ly, Olga Kosheleva, Songsak Sriboonchitta
Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond. ECONVN (2018)
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)
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)
Hung T. Nguyen, Kittawit Autchariyapanitkul, Olga Kosheleva, Vladik Kreinovich
Uncertain information fusion and knowledge integration: How to take reliability into account. IFSA-SCIS (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Olga Kosheleva