Dr. Kosheleva's areas of expertise are in mathematics education in teacher preparation, curriculum development with focus on Science, Technology, Engineering and Mathematics (STEM) integration and applied mathematics. Her primary education goal is to motivate student teachers to teach mathematics and science effectively so that they will create the same love for those topics that she herself developed as a young child. Dr. Kosheleva completed her Ph.D. in Computer Engineering at The University of Texas at El Paso in 2003. More information can be found at: https://www.cs.utep.edu/vladik/olgavita.html

• Dr. Olga Kosheleva - 2010 International Conference of the North American Fuzzy Information Processing Society NAFIPS'2010, Toronto, Canada, July 12-15, 2010 (07/15/2010)
• Dr. Olga Kosheleva - College of Education, University of Texas at El Paso (05/15/2010)
• Dr. Olga Kosheleva - College of Education, University of Texas at El Paso (05/14/2010)

• Ph D in Computer Engineering, University of Texas at El Paso (2003)
• MS in Computer Science, University of Texas at El Paso (1994)
• Radioastronomy, Special Astrophysical Observatory of the Russian Academy of Science (1982)
• MS in Mathematics and Applied Mathematics, Novosibirsk State University (1978)

• An Arbitrary Preference Relation Can Be Represented in Qualitative Choice Logic: A Remark Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 1, 2023. (2023), Olga M. Kosheleva, Vladik Y. Kreinovich, Aldo Venzor Nava.
• Need for topological quantum computing Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Need for topological quantum computing Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Relation between the number of nucleons in the universe and the largest number of nucleons in an atom: graph-theoretic explanation Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Relation between the number of nucleons in the universe and the largest number of nucleons in an atom: graph-theoretic explanation Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards green machine learning Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards green machine learning Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Can Physics Attain Its Goals: Extending D'Agostino's Analysis to 21st Century and Beyond Springer (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Computational Paradox of Deep Learning: A Qualitative Explanation Springer (in press), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Explaining an Empirical Formula for Bioreaction to Similar Stimuli (Covid-19 and Beyond) Springer (in press), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Game-Theoretic Approach Explains -- on the Qualitative Level -- the Antigenic Map of Covid-19 Variants Springer (in press), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• How to Combine Expert Estimates? How to Estimate Probability in the Intersection of Two Populations? Springer (in press), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Non-Localized Physical Processes Can Help Speed up Computations, Be It Hidden Variables in Quantum Physics or Non-Localized Energy in General Relativity Springer (in press), Michael Zakharevich, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Decreased Gaps Between Brain Cells Cause Severe Headaches: A Symmetry-Based Geometric Explanation Springer (in press), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Why FLASH Radiotherapy Is Efficient: A Possible Explanation Springer (in press), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Why in MOND -- Alternative Gravitation Theory -- a Specific Formula Works the Best: Complexity-Based Explanation Springer (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Additional Spatial Dimensions Can Help Speed Up Computations Springer (2023), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
• As Complexity Rises, Meaningful Statements Lose Precision -- but Why? Springer (2023), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations Springer (2023), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Blessings, God, Sacrifices: Possible Rational Explanation of Biblical Ideas Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Dimension Compactification Naturally Follows from First Principles Springer (2023), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Fuzzy Techniques, Laplace Indeterminacy Principle, and Maximum Entropy Approach Explain Lindy Effect and Help Avoid Meaningless Infinities in Physics Springer (2023), Julio Urenda, Sean Aguilar, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Godel's Proof of Existence of God Revisited Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How the Pavement's Lifetime Depends on the Stress Level: An Explanation of the Empirical Formula Springer (2023), Edgar Daniel Rodriguez Velazquez, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
• How to Best Write Research Papers: Basic English? Sophisticated English? Springer (2023), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Work? How to Study? Shall We Cram for the Exams? And How Is This Related to Life on Earth? Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Lev Landau's Marital Advice Explained Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Selfish Gene Theory Explains Oedipus Complex Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Shall We Ignore All Intermediate Grades? Springer (2023), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• What Is 1/0 from the Practical Viewpoint: A Pedagogical Note Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? Springer (2023), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Base-20, Base-40, and Base-60 Number Systems? Springer (2023), Sean Aguilar, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Chomsky Normal Form: A Pedagogical Note Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Geological Regions? Springer (2023), Daniela Flores, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation Springer (2023), Julio Urenda, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why oo Is a Reasonable Symbol for Infinity Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Quantum Techniques Are a Good First Approximation to Economic Phenomena, and What Next Springer (2023), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Quantum Techniques Are a Good First Approximation to Economic Phenomena, and What Next Springer (2023), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Rectified Linear Neurons: Two Convexity-Related Explanations Springer (2023), Jonathan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Why Semi-Supervised Learning Makes Sense: A Pedagogical Note Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Need for Techniques Intermediate Between Interval and Probabilistic Ones Abstracts of the International Conference on Parallel Processing and Applied Mathematics PPAM'2022, Gdansk, Poland, September 11-14, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• A Natural Causality-Motivated Description of Learning Mathematical Structures and Modeling 61 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Commonsense-Continuous Dynamical Systems -- Stationary States, Prediction, and Reconstruction of the Past: Fuzzy-Based Analysis Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Discrete Causality Implies Lorenz Group: Case of 2-D Space-Times Mathematical Structures and Modeling 62 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Efficient Algorithms for Data Processing under Type-3 (and Higher) Fuzzy Uncertainty Mathematics 10 (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Patricia Melin, Oscar Castillo.
• Efficient Algorithms for Data Processing under Type-3 (and Higher) Fuzzy Uncertainty Mathematics 10 (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Patricia Melin, Oscar Castillo.
• From Russia with Love The Texas Jewish Historical Society Magazine February (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Deal with Conflict of Interest Situations When Selecting the Best Submission Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to elicit complex-valued fuzzy degrees Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Represent Uncertainty via Qudits: Probability Distributions, Regular, Intuitionistic, Pythagorean, and Picture Fuzzy Sets, F-Transforms, etc. Notes on Intuitionistic Fuzzy Sets 28 3 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Invariance Explains Empirical Success of Many Intelligent Techniques Proceedings of the 11th IEEE International Conference on Intelligent Systems IS'22, Warsaw, Poland, October 12-14, 2022 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Invariance-Based Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning Advances in AI and Machine Learning 2 3 (2022), Edgar D. Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Let Us Start Research Experience at Freshman Level Abstracts of the Conference "Enacting Including Excellence Through Leadership, Teaching, and Learning", El Paso, Texas, August 10-12, 2022 (2022), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Macrocausality Implies Lorenz Group: A Physics-Related Comment on Guts's Results Mathematical Structures and Modeling 61 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs International Journal of Computing 21 4 (2022), Olga M. Kosheleva, Oscar Galindo, Vladik Y. Kreinovich.
• Need for Techniques Intermediate Between Interval and Probabilistic Ones Proceedings of the International Conference on Parallel Processing and Applied Mathematics PPAM'2022, Gdansk, Poland, September 11-14, 2022 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Physical Meaning Often Leads to Natural Derivations in Elementary Mathematics: On the Examples of Solving Quadratic and Cubic Equations Abstracts of the 27th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 2, 2022 (2022), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Physical Trajectories Are Smooth, with Velocities at Least As Continuous As Brownian Motion Mathematical Structures and Modeling 63 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Seemingly Counter-Intuitive Features of Good-to-Great Companies Actually Make Perfect Sense: Possible Algorithmics-Based Explanations Proceedings of the 11th IEEE International Conference on Intelligent Systems IS'22, Warsaw, Poland, October 12-14, 2022 (in press), Francisco Zapata, Eric D. Smith, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards a More Accurate Description of Human Decision Making: Satisficing Instead of Optimization Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 5, 2022 (2022), Janusz Kacprzyk, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards Optimal Techniques Intermediate Between Interval and Affine, Affine and Taylor Mathematical Structures and Modeling 61 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• What If There Are Too Many Outliers Abstracts of the of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2022, Milan, Italy, July 11-15, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• What Is the Most Adequate Fuzzy Methodology? Springer (in press), Noah Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why 1/(1+d) Is an Effective Distance-Based Similarity Measure: Two Explanations Proceedings of the 11th IEEE International Conference on Intelligent Systems IS'22, Warsaw, Poland, October 12-14, 2022 (in press), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Gaussian Copulas Are Ubiquitous in Economics: Fuzzy-Related Explanation Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Le V. Chon, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why People Tend to Overestimate Joint Probabilities Proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2022, Milan, Italy, July 11-15, 2022 1 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Physical Power Laws Usually Have Rational Exponents Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Edgar Daniel Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Rejuvenation Attempts Often Lead to Cancer and Why Cyclic Rejuvenation Is Better: A Simple Qualitative Explanation Mathematical Structures and Modeling 63 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Self-Esteem Helps to Solve Problems: An Algorithmic Explanation Abstracts of the 27th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 2, 2022. (2022), Oscar Ortiz, Henry Salgado, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Fuzzy Logic Beyond Traditional "And"- and "Or"-Operations Journal of Multiple Valued Logic and Soft Computing 38 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Much For a Set: General Case of Decision Making Under Set-Valued Uncertainty Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Multi-View Techniques Can Help In Processing Uncertainty Springer (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How the Pavement's Lifetime Depends on the Stress Level: An Explanation of the Empirical Formula Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Edgar Daniel Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• How to Simulate If We Only Have Partial Information But We Want Reliable Results Springer (2022), Vladik Y. Kreinovich, Olga M. Kosheleva.
• How to Work? How to Study? Shall We Cram for the Exams? And How Is This Related to Life on Earth? Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Mexican Folk Arithmetic Algorithm Makes Perfect Sense Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Julio Urenda, Chistian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Order Relations Are Ubiquitously Fundamental: Alexandrov(-Zeeman) Theorem Extended from Space-Time Physics to Logical Reasoning and Decision Making Mathematical Structures and Modeling 62 (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati, Laura Berrout Ramos.
• Order Relations Are Ubiquitously Fundamental: Alexandrov(-Zeeman) Theorem Extended from Space-Time Physics to Logical Reasoning and Decision Making Mathematical Structures and Modeling 62 (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati, Laura Berrout Ramos.
• What Is the Uncertainty of the Result of Data Processing: Fuzzy Analogue of the Central Limit Theorem Acta Polytechnica Hungarica 19 10 (2022), Julio Urenda, Olga M. Kosheleva, Shahnaz Shahbazova, Vladik Y. Kreinovich.
• What Teachers Can Learn from Machine Learning Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Kelly Cohen, Laxman Bokati, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Quantum Techniques Are a Good First Approximation to Economic Phenomena, and What Next Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Rectified Linear Neurons: Two Convexity-Related Explanations Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• "Negative" Results -- When the Measured Quantity Is Outside the Sensor's Range -- Can Help Data Processing Springer (2022), Jonatan Contreras, Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich, Martine C. Ceberio.
• A Natural Formalization of Changing-One's-Mind Leads to Square Root of 'Not' and to Complex-Valued Fuzzy Logic Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Commonsense Explanations of Sparsity, Zipf Law, and Nash's Bargaining Solution Springer (2022), Olga M. Kosheleva, Vladik Y. Kreinovich, Kittawit Autchariyapanikul.
• Economics of Reciprocity and Temptation Springer (2022), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
• Equations for Which Newton's Method Never Works: Pedagogical Example Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Leobardo Valera, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Geometric Analysis Leads to Adversarial Teaching of Cybersecurity Springer (2022), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Julio C. Urenda, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• How to Efficiently Store Intermediate Results in Quantum Computing: Theoretical Explanation of the Current Algorithm Springer (2022), Oscar Galindo, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Make Sure That Robot's Behavior Is Human-Like CRC Press (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati.
• How to Make Sure That Robot's Behavior Is Human-Like CRC Press (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati.
• Optimal search under constraints Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Reward for Good Performance Works Better Than Punishment for Mistakes: Economic Explanation Springer (2022), Olga M. Kosheleva, Julio Urenda, Vladik Y. Kreinovich.
• Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Most Empirical Distributions Are Few-Modal Springer (2022), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A Natural Formalization of Changing-One's-Mind Leads to Square Root of `Not' and to Complex-Valued Fuzzy Logic Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Functional Processing of Delta-Sigma Bit-Stream" by Djuro G. Zrilic Journal of Intelligent and Fuzzy Systems 40 5 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Time of the Magicians: Wittgenstein, Benjamin, Cassirer, Heidegger, and The Decade that Reinvented Philosophy" by Wolfram Eilenberger Journal of Intelligent and Fuzzy Systems 40 5 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Additional Spatial Dimensions Can Help Speed Up Computations Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Can Ideas Behind Ancient Egyptian Fractions Speed up Modern Computers? Applied Mathematical Sciences 15 3 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Dimension Compactification Naturally Follows from First Principles Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Five Revolutionary Ideas in the 1950s-70s Science: 90th Birthday of Revolt Pimenov Mathematical Structures and Modeling 58 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Fuzzy Logic Beyond Traditional 'And'-Operations Proceedings of the 3rd International Conference on Intelligent and Fuzzy Systems INFUS'2021, Izmir, Turkey, August 24-26, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Fuzzy Logic Beyond Traditional 'And'-Operations Proceedings of the 3rd International Conference on Intelligent and Fuzzy Systems INFUS'2021, Izmir, Turkey, August 24-26, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Green Computing: Three Examples of How Non-Trivial Mathematical Analysis Can Help Journal of Smart Environments and Green Computing 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How General Is Fuzzy Decision Making? Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP), Bratislava, Slovakia, September 19-24, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Much For a Set: General Case of Decision Making Under Set-Valued Uncertainty Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Best Write Research Papers: Basic English? Sophisticated English? Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Martine C. Ceberio, Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Estimate Time Needed for Software Migration Applied Mathematical Sciences 15 1 (2021), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Gauge Reliability of a Binary Classification Result: A Simple Case Applied Mathematical Sciences 15 2 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How To Guarantee Fairness of Grading Without Sacrificing Privacy? Proceedings of the 10th International Scientific-Practical Conference "Mathematical Education in Schools and Universities" MATHEDU'2021, Kazan, Russia, March 22-28, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Christian Servin.
• How To Guarantee Fairness of Grading Without Sacrificing Privacy? Proceedings of the 10th International Scientific-Practical Conference "Mathematical Education in Schools and Universities" MATHEDU'2021, Kazan, Russia, March 22-28, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Christian Servin.
• Impact of super heavy load vehicles on transportation infrastructure: economic aspects SOFT COMPUTING 25 12 (2021), Ngoc Thach, Nguyen, Ali Morovatdar, Reza Salehi-Ashtiani, Olga M. Kosheleva.
• Impact of super heavy load vehicles on transportation infrastructure: economic aspects Soft Computing 25 (2021), Nguyen Ngoc Thach, Ali Morovatdar, Reza S. Ashtiani, Olga M. Kosheleva.
• Impact of super heavy load vehicles on transportation infrastructure: economic aspects SOFT COMPUTING 25 12 (2021), Ngoc Thach, Nguyen, Ali Morovatdar, Reza Salehi-Ashtiani, Olga M. Kosheleva.
• Just-In-Time Teaching Adds Motivation but Is Less Efficient Proceedings of the 10th International Scientific-Practical Conference "Mathematical Education in Schools and Universities" MATHEDU'2021, Kazan, Russia, March 22-28, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Christian Servin.
• Just-In-Time Teaching Adds Motivation but Is Less Efficient Proceedings of the 10th International Scientific-Practical Conference "Mathematical Education in Schools and Universities" MATHEDU'2021, Kazan, Russia, March 22-28, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Christian Servin.
• Kinematic Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition Abstracts of the 19th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2021, Szeged, Hungary, September 13-15, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Victor Selivanov.
• Kinematic Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition Abstracts of the 19th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2021, Szeged, Hungary, September 13-15, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Victor Selivanov.
• Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview Entropy 23 5 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Low-Complexity Zonotopes Can Enhance Uncertainty Quantification (UQ) Proceedings of the 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering UNCECOMP'2021, Athens, Greece, June 28-30, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Mexican Folk Arithmetic Algorithm Makes Perfect Sense Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Julio Urenda, Cristian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Negations of Probability Distributions: A Survey Computacion y Sistems 25 4 (2021), Ildar Z. Batyrshin, Nailya Kubysheva, Venera R. Baurasheva, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Same arguments that prove existence of singularity prove existence of acausality Proceedings of the International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 19, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Tents of Israel Revisited: Audio Privacy International Mathematical Forum 16 1 (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards adopting best practices from face-to-face to virtual classrooms Abstracts of the Support for Online Learning Conference SOL'2021, El Paso, Texas, April 21-23, 2021 (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Uncertainty: ideas behind neural networks lead us beyond KL-decomposition and interval fields Proceedings of the IEEE Series of Symposia on Computational Intelligence SSCI'2021, Orlando, Florida, December 4-7, 2021. (2021), Michael Beer, Olga M. Kosheleva, Vladik Y. Kreinovich.
• What Is the Logic Behind Cistercian Numbers? International Mathematical Forum 16 2 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• What Teachers Can Learn from Machine Learning Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• While, in general, uncertainty quantification (UQ) is NP-hard, many practical UQ problems can be made feasible Proceedings of the IEEE Series of Symposia on Computational Intelligence SSCI'2021, Orlando, Florida, December 4-7, 2021 (2021), Ander Gray, Scott Ferson, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Base-20, Base-40, and Base-60 Number Systems? Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Sean Aguilar, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Do We Need Two Doses of Covid-19 Vaccine: A Qualitative Explanation Applied Mathematical Sciences 15 3 (2021), Laxman Bokati, Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Kelly Cohen, Laxman Bokati, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Geological Regions? Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021 (2021), Daniela Flores, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Gradient Descent -- Not the Best Optimization Technique -- Works Best in Neural Networks: Qualitative Explanation Journal of Combinatorics, Information, and System Sciences JCISS 45 1-4 (2021), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why historically, many oppressive regimes survived for a long time: a simple mathematics-based explanation Proceedings of the International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 19, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Julio Urenda, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why kappa regression? Proceedings of the Joint World Congress of International Fuzzy Systems Association and Biennial Conference of the European Society for Fuzzy Logic and Technology IFSA/EUSFLAT'2021, Bratislava, Slovakia, September 19-24, 2021 (2021), Julio Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Gyorgy Eigner, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Question-Based Reasoning Leads to Constructive Approach to Knowledge International Mathematical Forum 16 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Romans Sometimes Wrote 8 as VIII, And Sometimes as IIX: A Possible Explanation International Mathematical Forum 16 2 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why T-Duality: A Simple Explanation Mathematical Structures and Modeling 60 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Zadeh's Vision, Modern Physics, and the Future of Computing Journal of Pure and Applied Mathematics 12 1 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Zadeh's Vision, Modern Physics, and the Future of Computing Journal of Pure and Applied Mathematics 12 1 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• A "Fuzzy" Like Button Can Decrease Echo Chamber Effect Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• A Mystery of Human Biological Development -- Can It Be Used to Speed up Computations? World Scientific (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• A Possible (Qualitative) Explanation of the Hierarchy Problem in Theoretical Physics Mathematical Structures and Modeling 58 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• A Recent Result about Random Metrics Explains Why All of Us Have Similar Learning Potential Springer (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Rough Draft Math: Revising to Learn'' by Amanda Jansen Journal of Intelligent and Fuzzy Systems 40 (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous" by Joseph Henrich Journal of Intelligent and Fuzzy Systems 40 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Approximate Version of Interval Computation Is Still NP-Hard Reliable Computing 28 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Approximate Version of Interval Computation Is Still NP-Hard Reliable Computing 28 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Are There Traces of Megacomputing in Our Universe Luniver Press (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Are There Traces of Megacomputing in Our Universe LINKs Special Issue 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Decision Making Under Interval Uncertainty Revisited Asian Journal of Economics and Banking 5 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Uyen Pham.
• Egyptian Fractions as Approximators Mathematical Structures and Modeling 57 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Euclidean Distance Between Intervals Is the Only Representation-Invariant One Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Fusion of Probabilistic Knowledge as Foundation for Sliced-Normal Approach Proceedings of the 9th International Workshop on Reliable Engineering Computing REC'2021, Taormina, Italy, May 16-20, 2021 (2021), Michael Beer, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Describe Measurement Errors: A Natural Generalization of the Central Limit Theorem Beyond Normal (and Other Infinitely Divisible) Distributions World Scientific (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Estimate the Stiffness of the Multi-Layer Road Based on Properties of Layers: Symmetry-Based Explanation for Odemark's Equation Springer (2021), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong Nguyen.
• How to Separate Absolute and Relative Error Components: Interval Case World Scientific (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Invariance-Based Approach: General Methods and Pavement Engineering Case Study International Journal of General Systems 50 6 (2021), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Need for Diversity in Elected Decision-Making Bodies: Economics-Related Analysis Springer (2021), Thach Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Need for Shift-Invariant Fractional Differentiation Explains the Appearance of Complex Numbers in Physics Mathematical Structures and Modeling 59 53-57 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Optimization under Fuzzy Constraints: Need to Go Beyond Bellman-Zadeh Approach and How It Is Related to Skewed Distributions Springer (2021), Phuong Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Physical Randomness Can Help in Computations World Scientific (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Realistic Intervals of Degrees of Confidence Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• So How Were the Tents of Israel Placed? A Bible-Inspired Geometric Problem International Mathematical Forum 16 1 (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Students Who Took the Class Help Students Who Are Taking It: What Is the Best Arrangement? Proceedings of the 10th International Scientific-Practical Conference "Mathematical Education in Schools and Universities" MATHEDU'2021, Kazan, Russia, March 22-28, 202 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• We Need Fuzzy Techniques to Design Successful Human-Like Robots Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati.
• We Need Fuzzy Techniques to Design Successful Human-Like Robots Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati.
• What If We Use Almost-Linear Functions Instead of Linear Ones as a First Approximation in Interval Computations World Scientific (2021), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Which Classes of Bi-Intervals Are Closed Under Addition? Under Linear Combination? Under Other Operations? Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Jonatan Contreras.
• Why Immediate Repetition Is Good for Short-Term Learning Results but Bad For Long-Term Learning: Explanation Based on Decision Theory Springer (2021), Laxman Bokati, Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing Springer (2021), Isaac Bautista, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong Nguyen.
• Why Physical Processes Are Smooth Or Almost Smooth: A Possible Physical Explanation Based on Intuitive Ideas Behind Energy Conservation Mathematical Structures and Modeling 59 58-63 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Significant Wave Height And Rogue Waves Are So Defined: A Possible Explanation Mathematical Structures and Modeling 57 (2021), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Strings, Why Quark Confinement: A Simple Qualitative Explanation Mathematical Structures and Modeling 57 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Strings, Why Quark Confinement: A Simple Qualitative Explanation Mathematical Structures and Modeling 57 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Was Nicholson's Theory So Successful: An Explanation of a Mysterious Episode in 20 Century Atomic Physics Mathematical Structures and Modeling 60 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Accuracy of Data Fusion: Interval (and Fuzzy) Cases Springer (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Beyond p-boxes and interval-valued moments: natural next approximations to general imprecise probabilities Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Finitely Generated Sets of Fuzzy Values: If "And" Is Exact, Then "Or" Is Almost Always Approximate And Vice Versa Springer (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Fuzzy Logic Explains the Usual Choice of Logical Operations in 2-Valued Logic Springer (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Geometric Explanation for an Empirical Formula Describing Our Galaxy's Warping Geombinatorics 30 4 (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Can We Explain Different Number Systems? Springer (2021), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Make a Decision Based on the Minimum Bayes Factor (MBF): Explanation of the Jeffreys Scale Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Nguyen D. Trung, Kittawit Autchariyapanitkul.
• How to Make a Decision Based on the Minimum Bayes Factor (MBF): Explanation of the Jeffreys Scale Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Nguyen D. Trung, Kittawit Autchariyapanitkul.
• How to reconcile maximum entropy approach with intuition: e.g., should interval uncertainty be represented by a uniform distribution Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
• How to reconcile maximum entropy approach with intuition: e.g., should interval uncertainty be represented by a uniform distribution Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
• Intuitive Idea of Implication vs. Formal Definition: How to Define the Corresponding Degree Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Joule's 19th Century Energy Conservation Meta-Law and the 20th Century Physics (Quantum Mechanics and Relativity): 21st Century Analysis Foundations of Science 26 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Joule's 19th Century Energy Conservation Meta-Law and the 20th Century Physics (Quantum Mechanics and Relativity): 21st Century Analysis Foundations of Science 26 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Optimization under uncertainty explains empirical success of deep learning heuristics Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Optimization under uncertainty explains empirical success of deep learning heuristics Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Ranking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Version) Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Guo Wei.
• Why Beta Priors: Invariance-Based Explanation Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Kittawit Autchariyapanitkul.
• Why h-index Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
• Why h-index Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
• Why Some Non-Classical Logics Are More Studied? Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Simplest Polynomial for Which Naive (Straightforward) Interval Computations Cannot Be Exact Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Songsak Sriboonchitta.
• Z-Numbers: How They Describe Student Confidence and How They Can Explain (and Improve) Laplacian and Schroedinger Eigenmap Dimension Reduction in Data Analysis Springer (2021), Vladik Y. Kreinovich, Olga M. 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 Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Michael Zakharevich.
• Which Interval Is the Closest to a Given Set? Reliable Computing 28 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Which Interval Is the Closest to a Given Set? Reliable Computing 28 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Hausdorff Distance Is Natural in Interval Computations Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Use of Grothendieck Inequality in Interval Computations: Quadratic Terms are Estimated Accurately Modulo a Constant Factor Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Squashing Functions in Multi-Layer Neural Networks Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics SMC’2020 (2020), Julio C. Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2020 (2020), Julio C. Urenda, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• A Fully Lexicographic Extension of Min or Max Operation Cannot Be Associative Applied Mathematical Sciences 14 11 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well Proceedings of the 24th International Conference on Information Visualisation IV'2020, Vienna and Melbourne, September 7-11, 2020 (2020), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Advice to New Instructors: Systems Approach Mathematical Structures and Modeling 55 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Being active in research makes a person a better teacher and even helps when working for a company International Mathematical Forum 15 8 (2020), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Can We Preserve Physically Meaningful `Macro' Analyticity without Requiring Physically Meaningless `Micro' Analyticity? Mathematical Structures and Modeling 54 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• COVID-19 Peak Immunity Values Seem to Follow Lognormal Distribution Applied Mathematical Sciences 14 12 (2020), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich, Tonghui Wang.
• COVID-19 Peak Immunity Values Seem to Follow Lognormal Distribution Applied Mathematical Sciences 14 12 (2020), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich, Tongui Wang.
• Does Transition to Democracy Lead to Chaos: A Theorem Applied Mathematical Sciences 14 16 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Grading Homeworks, Verifying Code: How Thorough Should the Feedback Be? Proceedings of the 4th International Conference on Intelligent Decision Science IDS'2020, Istanbul, Turkey, August 7-8, 2020 (2020), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Healthy Lifestyle Decreases the Risk of Alzheimer Disease: A Possible Partial Explanation of an Empirical Dependence International Mathematical Forum 15 5 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Quantum Cryptography and Quantum Computing Can Make Cyber-Physical Systems More Secure Proceedings of the System of Systems Engineering Conference SoSE'2020, Budapest, Hungary, June 2-4, 2020 (2020), Deepak K. Tosh, Oscar Galindo, Vladik Y. Kreinovich, Olga M. Kosheleva.
• How the Amount of Cracks and Potholes Grows with Time: Symmetry-Based Explanation of Empirical Dependencies Proceedings of the International Conference on Smart Sustainable Materials and Technologies ICSSMT'2020, Madurai, India, August 12-13, 2020 2297 (2020), Edgar Daniel Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. 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 Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 24 5 (2020), Laxman Bokati, Hoang P. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Decide Which Cracks Should be Repaired First: Theoretical Explanation of Empirical Formulas Proceedings of the 19th Mexican International Conference on Artificial Intelligence MICAI'2020, Mexico City, Mexico, October 12-17, 2020 (2020), Edgar Daniel Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: a Neural Approach Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 24 5 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Hoang P. Nguyen.
• How to Detect Future Einsteins: Towards Systems Approach Exceptional Children: Education and Treatment 2 3 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Estimate the Stiffness of the Multi-Layer Road Based on Properties of Layers: Symmetry-Based Explanation for Odemark's Equation Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
• How to explain money allocation in Dictator Game Abstracts of the 8th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 20, 2020 (2020), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Explain the Relation Between Different Empirical Covid-19 Self-Isolation Periods Applied Mathematical Sciences 14 17 (2020), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• It Is Important to Take All Available Information into Account When Making a Decision: Case of the Two Envelopes Problem Proceedings of the 4th International Conference on Intelligent Decision Science IDS'2020, Istanbul, Turkey, August 7-8, 2020 (2020), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Let Us Use Negative Examples in Regression-Type Problems Too Proceedings of the 24th International Conference on Information Visualisation IV'2020, Vienna and Melbourne, September 7-11, 2020 (2020), Jonathan Contreras, Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich, Martine C. Ceberio.
• Lexicographic-Type Extension of Min-Max Logic Is Not Uniquely Determined Mathematical Structures and Modeling 55 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Need for Diversity in Elected Decision-Making Bodies: Economics-Related Analysis" Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Online Teaching -- Systems Approach: Questions and Answers Mathematical Structures and Modeling 55 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Optimization under Fuzzy Constraints: Need to Go Beyond Bellman-Zadeh Approach and How It Is Related to Skewed Distributions Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Possibility to Algorithmically Check: Yet Another Reason Why Current Definitions Have Been Selected in Elementary Mathematics Applied Mathematical Sciences 14 18 (2020), Christian S. , Olga M. Kosheleva, Vladik Y. Kreinovich.
• Preference for Boys Does Not Necessarily Lead to a Gender Disbalance: A Realistic Example International Mathematical Forum 15 5 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Rosenzweig, Equality, and Assignment International Mathematical Forum 15 7 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Several Years of Practice May Not Be As Good as Comprehensive Training: Zipf's Law Explains Why Mathematical Structures and Modeling 54 (2020), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• The Less We Love a Woman, the More She Likes Us: Pushkin's Observation Explained International Mathematical Forum 15 5 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• The Similarity Between Earth's and Mars's Core-Mantle Boundary Seems to Be Statistically Significant Applied Mathematical Sciences 14 15 (2020), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms (2020), Deepak K. Tosh, Oscar Galindo, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Two Pens In a Pocket Must Be Different: A Nerd-Oriented Lesson From Statistics International Mathematical Forum 15 6 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Two Runners in the Time of Social Distancing, Speedboats in the Gulf of Finland: How to Best Pass? International Mathematical Forum 15 7 (2020), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Two Runners in the Time of Social Distancing, Speedboats in the Gulf of Finland: How to Best Pass? International Mathematical Forum 15 7 (2020), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Under Limited Resources, Lottery-Based Tutoring Is the Most Efficient Applied Mathematical Sciences 14 15 (2020), Olga M. Kosheleva, Christian Servin, Vladik Y. Kreinovich.
• What If You Are Late on Several (Relatively Small) Tasks? International Mathematical Forum 15 8 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• What is practically feasible: a fuzzy approach Abstracts of the 8th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 20, 2020 (2020), Jonatan Contreras, Nathan Aun, Sebastian Ayala, Isaiah Hernandez, Matthew Iglesias, Daniel Obrien, Jose Perez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• 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 Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021, (2020), Vladik Y. Kreinovich, Martine C. Ceberio, Olga M. 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 Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021, (2020), Vladik Y. Kreinovich, Martine C. Ceberio, Olga M. 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 Proceedings of the 2nd Information-Communication Technologies & Embedded Systems Workshop ICT&ES'2020, Mykolaiv, Ukraine, November 12, 2020 (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why 3D Fragmentation Usually Leads to Cuboids: A Simple Geometric Explanation International Mathematical Forum 15 6 (2020), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Ancient Egyptians Preferred Some Sum-of-Inverses Representations of Fractions? Applied Mathematical Sciences 15 18 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Cutting Trajectories Into Small Pieces Helps to Learn Dynamical Systems Better: A Seemingly Counterintuitive Empirical Result Explained Applied Mathematical Sciences 14 13 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Isaac Bautista, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
• Why Majority Rule Does Not Work in Quantum Computing: A Pedagogical Explanation Proceedings of the 19th Mexican International Conference on Artificial Intelligence MICAI'2020, Mexico City, Mexico, October 12-17, 2020 (2020), Oscar Galindo, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Mean, Variance, Moments, Correlation, Skewness etc. -- Invariance-Based Explanations Asian Journal of Economics and Banking 4 2 (2020), Olga M. Kosheleva, Laxman Bokati, Vladik Y. Kreinovich.
• Why Number of Color Difference Works Better In Detecting Melanoma Than Number of Colors: A Possible Fractal-Based Explanation Applied Mathematical Sciences 14 17 (2020), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Some Power Laws Are Possible And Some Are Not Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
• Why Squashing Functions in Multi-Layer Neural Networks Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics SMC'2020, Toronto, Canada, October 11-14, 2020 (2020), Julio Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Olga M. Kosheleva, Vladik Y. Kreinovich, Gyorgy Eigner.
• Why There Are Only Four Fundamental Forces: A Possible Explanation International Mathematical Forum 5 4 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Yet Another Possible Explanation of Egyptian Fractions: Motivated by Fairness Applied Mathematical Sciences 14 18 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Deep Learning (Partly) Demystified Proceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (in press), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Deep Learning (Partly) Demystified Abstracts of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Deep Learning (Partly) Demystified Proceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (in press), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Deep Learning (Partly) Demystified Abstracts of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
• On Geometry of Finsler Causality: For Convex Cones, There Is No Affine-Invariant Linear Order (Similar to Comparing Volumes) Mathematical Structures and Modeling 53 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Rnking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Versions) Abstracts of the 13th International Conference of Thailand Econometic Society, Chiang Mai, Thailand. January 8-10, 2020 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Guo Wei.
• Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria Proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2020, Lisbon, Portugal, June 15-19, 2020 (2020), Michael Beer, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria Abstracts of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2020, Lisbon, Portugal, June 15-19, 2020 (2020), Michael Beer, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Beta Priors: Invariance-Based Explanation Abstracts of the 13th International Conference of Thailand Econometric Society, Chiang Mai, Thailand, January 8-10, 2020 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Kittawit Autchariyapanitkul.
• Why Deep Learning Is More Efficient than Support Vector Machines, and How It Is Related to Sparsity Techniques in Signal Processing Abstracts of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (2020), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich, Anibal Sosa.
• Why Deep Learning Is More Efficient than Support Vector Machines, and How It Is Related to Sparsity Techniques in Signal Processing Proceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (in press), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich, Anibal Sosa.
• Why Spiking Neural Networks Are Efficient: A Theorem Proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2020, Lisbon, Portugal, June 15-19, 2020 (2020), Michael Beer, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Spiking Neural Networks Are Efficient: A Theorem Abstracts of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2020, Lisbon, Portugal, June 15-19, 2020 (2020), Michael Beer, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A Symmetry-Based Explanation of the Main Idea Behind Chubanov's Linear Programming Algorithm Springer (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Thongchai Dumrongpokaphan.
• Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable Springer (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Relativistic Effects Can Be Used to Achieve a Universal Square-Root (Or Even Faster) Computation Speedup Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Relativistic Effects Can Be Used to Achieve a Universal Square-Root (Or Even Faster) Computation Speedup Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Reverse Mathematics Is Computable for Interval Computations Springer (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Which fuzzy logic operations are most appropriate for ontological semantics: theoretical explanation of empirical observations De Gruyter Mouton (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Which fuzzy logic operations are most appropriate for ontological semantics: theoretical explanation of empirical observations De Gruyter Mouton (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Bohmian Approach to Quantum Econometrics: An Algebraic Explanation Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
• Why Bohmian Approach to Quantum Econometrics: An Algebraic Explanation Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
• Why Triangular and Trapezoid Membership Functions: A Simple Explanation Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Shahnaz Shahbazova.
• Why Triangular and Trapezoid Membership Functions: A Simple Explanation Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Shahnaz Shahbazova.
• Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas Springer (2020), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Beyond Integration: A Symmetry-Based Approach to Reaching Stationarity in Economic Time Series Springer Verlag (2020), Olga M. Kosheleva, Songsak Sriboonchitta, Vladik Y. Kreinovich.
• Probabilistic and more general uncertainty-based (e.g., fuzzy) approaches to crisp clustering explain the empirical success of the K-sets algorithm Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Shahnaz Shahbazova, Songsak Sriboonchitta.
• Probabilistic and more general uncertainty-based (e.g., fuzzy) approaches to crisp clustering explain the empirical success of the K-sets algorithm Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Shahnaz Shahbazova, Songsak Sriboonchitta.
• Why Sparse? Springer Verlag (2020), Thongchai Dumrongpokaphan, Olga M. Kosheleva, Vladik Y. Kreinovich, Aleksandra Belina.
• When We Know the Number of Local Maxima, Then We Can Compute All of Them Springer (in press), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Anatole France's Statement on Education Transformed into a Theorem Russian Digital Libraries Journal 22 6 (2019), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Anatole France's Statement on Education Transformed into a Theorem Abstracts of the IX International Conference on Mathematics Education MATHEDU'2019, Kazan, Russia, October 23-27, 2019 (2019), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Avoiding Einstein-Podolsky-Rosen (EPR) Paradox: Towards a More Physically Adequate Description of a Quantum State Journal of Uncertain Systems 13 3 (2019), Joseph Bernal, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Computational Complexity of Experiment Design in Civil Engineering Proceedings of the 29th European Safety and Reliability Conference ESREL'2019, Hannover, Germany, September 22-26, 2019 (2019), Olga M. Kosheleva, Yan Wang, Vladik Y. Kreinovich.
• Contrast Similarity Measures of Fuzzy Sets Computacion y Sistemas 23 4 (2019), Ildar Batyrshin, Vladik Y. Kreinovich, Olga M. Kosheleva, Nailya Kubysheva, Raouf Akhtiamov.
• Egyptian Fractions Re-Revisited Russian Digital Libraries Journal 22 6 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich, Francisco Zapata.
• Epicycles Are Almost as Good as Trigonometric Series: General System-Based Analysis Applied Mathematical Sciences 13 16 (2019), Griselda Acosta, Eric D. Smith, Olga M. Kosheleva, Vladik Y. Kreinovich.
• High concentrations naturally lead to fuzzy-type interactions and to gravitational wave bursts Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Oscar Galindo, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Earthquake Risk Depends on the Closeness to a Fault: Symmetry-Based Geometric Analysis Proceedings of the 29th European Safety and Reliability Conference ESREL'2019, Hannover, Germany, September 22-26, 2019 (2019), Aaron A. Velasco, Solymar Ayala, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Earthquake Risk Depends on the Closeness to a Fault: Symmetry-Based Geometric Analysis (2019), Aaron A. Velasco, Solymar A. Cortez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Apply Software Engineering Testing Methodologies to Education Journal of Uncertain Systems 13 3 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Assign Grades to Tasks so as to Maximize Student Efforts Russian Digital Libraries Journal 22 6 (2019), Laxman Bokati, Vyacheslav Kalashnikov, Nataliya Kalashnykova, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Assign Points for Chores Russian Digital Libraries Journal 22 6 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Fuse Expert Knowledge: Not Always 'And' but a Fuzzy Combination of 'And' and 'Or" Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Generate "Nice" Cubic Polynomials -- with Rational Coefficients, Rational Zeros and Rational Extrema: A Fast Algorithm Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2019 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to generate 'nice' cubic polynomials -- with rational coefficients, rational zeros and rational extrema: a fast algorithm Journal of Uncertain Systems 13 2 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Generate 'Nice' Cubic Polynomials -- with Rational Coefficients, Rational Zeros and Rational Extrema: A Fast Algorithm Abstracts of the 11th International Conference of Nepalese Student Association NeSA'11, Las Cruces, New Mexico, March 23, 2019 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Organize Conferences: Systems Approach Journal of Uncertain Systems 13 3 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How We Can Explain Simple Empirical Memory Rules Mathematical Structures and Modeling 51 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How We Can Explain Simple Empirical Memory Rules Abstracts of the IX International Conference on Mathematics Education MATHEDU'2019, Kazan, Russia, October 23-27, 2019 (2019), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Logarithms Are Not Infinity: A Rational Physics-Related Explanation of the Mysterious Statement by Lev Landau Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Multi-Lingual Education Helps to Study Mathematics Abstracts of the IX International Conference on Mathematics Education MATHEDU'2019, Kazan, Russia, October 23-27, 2019 (2019), Valery Phedotov, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Neutron Lifetime Puzzle and Nuclear Stability: A Possible Relation Journal of Uncertain Systems 13 3 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Physics' Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional Abstracts of the Joint 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2019 and International Quantum Systems Association (IQSA) Workshop on Quantum Structures, Prague, Czech Republic, September 9-13, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Physics' Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional Proceedings of the Joint 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2019 and International Quantum Systems Association (IQSA) Workshop on Quantum Structures, Prague, Czech Republic, September 9-13, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Quantum physics explains the existence of matter Abstracts of the 7th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 22, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Softmax and McFadden's Discrete Choice under Interval (and Other) Uncertainty Proceedings of the International Conference on Parallel Processing and Applied Mathematics PPAM'2019, Bialystok, Poland, September 8-11, 2019 2 (2019), Batlomiej Kubica, Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Softmax and McFadden's Discrete Choice under Interval (and Other) Uncertainty Abstracts of the International Conference on Parallel Processing and Applied Mathematics PPAM'2019, Bialystok, Poland, September 8-11, 2019 (2019), Bartlomijei Kubica, Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Systems Approach to Education: General Ideas Journal of Uncertain Systems 13 3 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Use of symmetries in economics: an overview Asian Journal of Economics and Banking 3 1 (2019), Vladik Y. Kreinovich, Olga M. Kosheleva, Thach N. Nguyen, Trung D. Nguyen.
• Was There a Pre-Biblical 9-Ary Number System? Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• When Revolutions Succeed? 80/20 Rule and 7 Plus Minus 2 Law Explain the 3.5% Rule Journal of Uncertain Systems 13 3 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Use a Fuzzy Partition in F-Transform? Axioms 2019 8 (2019), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
• Why A is usually 90, B is 80, etc.: a possible explanation Journal of Uncertain Systems 13 3 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Bilingualism Helps Autistic Children Function: A Symmetry-Based Explanation International Mathematical Forum 14 1 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Derivative: Invariance-Based Explanation Mathematical Structures and Modeling 52 (2019), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Grade Distribution Is Often Multi-Modal: an Uncertainty-Based Explanation Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Olga M. Kosheleva, Christian Servin, Vladik Y. Kreinovich.
• Why semantic space is 300-dimensional: a possible explanation Abstracts of the 7th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 22, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Such a Nonlinear Process as Protein Synthesis Is Well Approximated by Linear Formulas Abstracts of the 2019 Southwest and Rocky Mountain Regional Meeting of the American Chemical Society SWRMRM'2019, El Paso, Texas, November 13-16, 2019 (in press), Vladik Y. Kreinovich, Olga M. Kosheleva, Julio Urenda.
• Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local One Axioms 2019 8 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
• Why We Mostly Use 2-, 3- And 5-Based Number Systems? Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 2, 2019 (2019), Erick Nevarez, Jordan Caylor, Jenna Faith, Irma Martinez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Algorithmic Need for Subcopulas Springer (2019), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Luc Longpré.
• Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data Springer (2019), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?2 Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Detecting At-Risk Students: Empirical Results and Their Theoretical Explanation Mathematical Structures and Modeling 49 (2019), Edgar Rodriguez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• From Gig Economy to Gig Education Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Julian Viera, Vladik Y. Kreinovich.
• How to explain the efficiency of triangular and trapezoid membership functions in applications to design Ontology of Designing 9 2 (2019), Afshin Gholamy, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications Springer (2019), Edgar Rodriguez Velazquez, Carlos M. Chang Albitres, Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• In its usual formulation, fuzzy computation is, in general, NP-hard, but a more realistic formulation can make it feasible Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Luc Longpré, Vladik Y. Kreinovich.
• Preferences (Partial Pre-Orders) on Complex Numbers -- in View of Possible Use in Quantum Econometrics Thai Journal of Mathematics Special issue Structural Change Modeling and Optimization 2018 (2019), Songsak Sriboonchitta, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification Proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2019, Nara, Japan, March 26-29, 2019 (2019), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics Springer (2019), Songsak Sriboonchitta, Hung T. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
• Secure Multi-Agent Quantum Communication: Towards the Most Efficient Scheme (A Pedagogical Remark) Mathematical Structures and Modeling 49 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Should School Feel Like a Family: Lessons from Business Controversy as Interpreted by Decision Making Theory Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Julian Viera, Vladik Y. Kreinovich.
• Summation of Divergent Infinite Series: How Natural are the Current Tricks Mathematical Structures and Modeling 50 (2019), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards Parallel Quantum Computing: Standard Quantum Teleportation Algorithm Is, in Some Reasonable Sense, Unique Proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2019, Nara, Japan, March 26-29, 2019 (2019), Oscar Galindo, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Translating Discrete Estimates into a Less Detailed Scale: An Optimal Approach Thai Journal of Mathematics Special issue Structural Change Modeling and Optimization in Econometrics 2018 (2019), Thongchai Dumrongpokaphan, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Use of parentheses to indicate multiplication can be confusing Mathematics Teacher 112 4 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Max Average Poolings are Optimal in Convolutional Neural Networks Proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2019, Nara, Japan, March 26-29, 2019 (2019), Ahnaf Farhan, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Quantum (Wave Probability) Models Are a Good Description of Many Non-Quantum Complex Systems, and How to Go Beyond Quantum Models Springer (2019), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
• Why STEM? Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Math, Music and Arts, a community-based approach: Improving outcomes for at-risk Hispanic students Peter Lang Publishers (2018), Beverley Argus-Calvo, Claudia Saldana Corral, Olga M. Kosheleva.
• A review of "A Tale of Seven Scientists and a New Philosophy of Science" by E. Scerri Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Constructivism: Theory, Perspectives And Practice" by C. T. Fosnot (ed.) Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Drive: The Surprising Truth about What Motivates Us" by D. H. Pink Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Factorizations of algebraic integers, block monoids, and additive number theory" by P. Baginski and S. T. Chapman, "Irreducible factorization lengths and the elasticity problem within N", by M. O. Jenssen, D. Montealegre, and V. Ponomarenko, and "Non-unique factorization in a class of non-commutative monoids" by E. D. Schwab and G. Schwab Journal of Uncertain Systems 12(3) (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Life's Greatest Lessons: 20 Things That Matter" by H. Urban Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Snowball in a Blizzard: A Physician's Notes on Uncertainty in Medicine" by S. Hatch Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "The Melanoma Handbook" by S. P. Ariyan and H. Kluger (eds.) and "Melanoma" by J. S. Zager, V. K. Sondak, and R. Kudchadkar (eds.) Journal of Uncertain Systems 12(3) (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "The Strategy Paradox: Why Committing to Success Leads to Failure (and What to Do about It)" by M. E. Raynor Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A Turing Machine Is Just a Finite Automaton with Two Stacks: A Comment on Teaching Theory of Computation Proceedings of the 8th International Scientific-Practical Conference "Mathematical Education in Schools and Universities: Innovations in the Information Space" MATHEDU'2018, Kazan, Russia, October 17-21, 2018 (2018), Vladik Y. Kreinovich, Olga M. Kosheleva.
• All Maximally Complex Problems Allow Simplifying Divide-and-Conquer Approach: Intuitive Explanation of a Somewhat Counterintuitive Ladner's Result Mathematical Structures and Modeling 48 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Avoiding Einstein-Podolsky-Rosen (EPR) Paradox: Towards a More Physically Adequate Description of a Quantum State Abstracts of the 23rd Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, El Paso, Texas, November 3, 2018 (in press), Joseph Bernal, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Bellman-Zadeh Fuzzy Optimization Under Interval Uncertainty Abstracts of the 18th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2018, Tokyo, Japan, September 10-15, 2018 (in press), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Comparing US and Russian Grading Scales Journal of Innovative Technology and Education 5 1 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Current Quantum Cryptography Algorithm Is Optimal: A Proof Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions CIES'2018, Bengaluru, India, November 18-21, 2018 (in press), Oscar Galindo, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Economics of Commitment: Why Giving Away Some Freedom Makes Sense Mathematical Structures and Modeling 46 (2018), Vladik Y. Kreinovich, Olga M. Kosheleva, Mahdokht Afravi, Genesis Bejarano, Marisol Chacon.
• How Intelligence Community Interprets Imprecise Evaluative Linguistic Expressions, and How to Justify This Empirical-Based Interpretation Proceedings of the International Conference on Data Science and Intelligent Analysis of Information ICDSIAI'2018, Kiev, Ukraine, June 4-7, 2018 (in press), Olga M. Kosheleva, Vladik Y. 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? Proceedings of the 2018 IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2018, Rio de Janeiro, July 8-13, 2018 (2018), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Efficiently Compute Ranges Over a Difference Between Boxes, With Applications to Underwater Localization Journal of Uncertain Systems 12 3 (2018), Luc Jaulin, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Explain Empirical Distribution of Software Defects by Severity Proceedings of the International Conference on Data Science and Intelligent Analysis of Information ICDSIAI'2018, Kiev, Ukraine, June 4-7, 2018 (in press), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Explain the Results of the Richard Thaler's 1997 Financial Times Contest International Mathematical Forum 13 4 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Select the Best Paper: Towards Justification (and Possible Enhancement) of Current Semi-Heuristic Procedures Mathematical Structures and Modeling 47 (2018), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• In the Discrete Case, Averaging Cannot Be Consistent Mathematical Structures and Modeling 48 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Interval (Set) Uncertainty as a Possible Way to Avoid Infinities in Physical Theories Abstracts of the 18th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2018, Tokyo, Japan, September 10-15, 2018 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable Proceedings of the 11th International Workshop on Constraint Programming and Decision Making CoProd'2018, Tokyo, Japan, September 10, 2018 (in press), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections Proceedings of the 2018 IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2018, Rio de Janeiro, July 8-13, 2018 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Reverse Mathematics Is Computable for Interval Computations Proceedings of the 11th International Workshop on Constraint Programming and Decision Making CoProd'2018, Tokyo, Japan, Sepetmber 10, 2018 (in press), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Teaching to study vs. just teaching the material Proceedings of the 8th International Scientific-Practical Conference "Mathematical Education in Schools and Universities: Innovations in the Information Space" MATHEDU'2018, Kazan, Russia, October 17-21, 2018 (2018), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards Foundations of Interval and Fuzzy Uncertainty Journal of Uncertain Systems 12 3 (2018), Mahdokht Afravi, Keihinde Akinola, Fredrick Ayivor, Ramon Bustamante, Erick Duarte, Ahnaf Farhan, Martha Garcia, Govinda KC, Jeffrey Hope, Olga M. Kosheleva, Vladik Y. Kreinovich, Jose Perez, Francisco Rodriguez, Christian Servin, ERic Torres, Jesus Tovar.
• Towards More Realistic Interval Models in Econometrics Abstracts of the 18th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2018, Tokyo, Japan, September 10-15, 2018 (in press), Songsak Sriboonchitta, Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Type-2 Fuzzy Analysis Explains Ubiquity of Triangular and Trapezoid membership functions Proceedings of the World Conference on Soft Computing, Baku, Azerbaijan, May 29-31, 2018 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich, Shahnaz Shahbazova.
• When Is Propagation of Interval and Fuzzy Uncertainty Feasible? Proceedings of the 8th International Workshop on Reliable Engineering Computing REC'2018, Liverpool, UK, July 16-18, 2018 (in press), Vladik Y. Kreinovich, Andrzej M. Pownuk, Olga M. Kosheleva, Aleksandra Belina.
• Which t-Norm Is Most Appropriate for Bellman-Zadeh Optimization Proceedings of the World Conference on Soft Computing, Baku, Azerbaijan, May 29-31, 2018 (in press), Vladik Y. Kreinovich, Olga M. Kosheleva, Shahnaz Shahbazova.
• Why 70/30 or 80/20 Relation Between Training and Testing Sets: A Pedagogical Explanation International Journal of Intelligent Technologies and Applied Statistics 11 2 (2018), Afshin Gholamy, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Asset-Based Approach to Teaching Is More Effective than the Usual Deficit-Based Approach, and Why The New Approach Is Not Easy to Implement: A Simple Geometric Explanation Abstracts of the 22nd Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 7, 2018 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Asset-Based Approach to Teaching Is More Effective than the Usual Deficit-Based Approach, and Why The New Approach Is Not Easy to Implement: A Simple Geometric Explanation Geombinatorics 28 2 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Bellman-Zadeh Approach to Fuzzy Optimization Applied Mathematical Sciences 12 11 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Learning Has Aha-Moments and Why We Should Also Reward Effort, Not Just Results International Journal of Intelligent Technologies and Applied Statistics 11 2 (2018), Gerardo Uranga, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Skew Normal: A Simple Pedagogical Explanation International Journal of Intelligent Technologies and Applied Statistics 11 2 (2018), Jose G. Flores Muniz, Vyacheslav Kalashnikov, Nataliya Kalashnikova, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Superforecasters Change Their Estimates on Average by 3.5%: A Possible Theoretical Explanation International Mathematical Forum 13 4 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Triangular Membership Functions Are Often Efficient in F-Transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets Abstracts of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2018, Cadiz, Spain, June 11-15, 2018 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Under Stress Positive Reinforcement Is More Effective? Why Optimists Study Better? Why People Become Restless? Simple Utility-Based Explanations Mathematical Structures and Modeling 46 (2018), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Zipf's Law: A Symmetry-Based Explanation International Mathematical Forum 13 6 (2018), Daniel Cervantes, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Zipf's Law: A Symmetry-Based Explanation Abstracts of the 22nd Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 7, 2018 (2018), Daniel Cervantes, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Ancient Bankruptcy Solution Makes Economic Sense Springer Verlag (2018), Anh H. Ly, Michael Zakharevich, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Beyond traditional applications of fuzzy techniques: main idea and case studies Springer (2018), Vladik Y. Kreinovich, Olga M. Kosheleva, Thongchai Dumrongpokaphan.
• Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas Springer (2018), Olga M. Kosheleva, Vladik Y. Kreinovich, Laecio Carvalho Barros.
• Do It Today Or Do It Tomorrow: Empirical Non-Exponential Discounting Explained by Symmetry Ideas Proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2018, Hanoi, Vietnam, March 13-15, 2018 (in press), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich, Thongchai Dumrongpokaphan.
• Do It Today Or Do It Tomorrow: Empirical Non-Exponential Discounting Explained by Symmetry Ideas Abstracts of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2018, Hanoi, Vietnam, March 13-15 (2018), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich, Thongchai Dumrongpokaphan.
• Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond Springer Verlag (2018), Vladik Y. Kreinovich, Anh H. Ly, Olga M. Kosheleva, Songsak Sriboonchitta.
• Ho to Make a Proof of Halting Problem More Convincing: A Pedagogical Remark International Mathematical Forum 13 1 (2018), Benjamin Robertson, Vladik Y. Kreinovich, Olga M. Kosheleva.
• How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty Springer Verlag (2018), Vladik Y. Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga M. Kosheleva.
• How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy Springer Verlag (2018), Vladik Y. Kreinovich, Thongchai Dumrongpokaphan, Hung T. Nguyen, Olga M. Kosheleva.
• How to Gauge the Accuracy of Fuzzy Control Recommendations: A Simple Idea Springer Verlag (2018), Patricia Melin, Oscar Castillo, Andrzej Ponwuk, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing Springer (2018), Steven Escarzaga, Craig E. Tweedie, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing Springer (2018), Steven Escarzaga, Craig E. Tweedie, Olga M. Kosheleva, Vladik Y. Kreinovich.
• In Fuzzy Decision Making, General Fuzzy Sets Can Be Replaced by Fuzzy Numbers Journal of Uncertain Systems 12 3 (2018), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Maximum Entropy Beyond Selecting Probability Distributions Springer Verlag (2018), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness Proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2018, Hanoi, Vietnam, March 13-15, 2018 (in press), Kittawit Autchariyapanitkul, Olga M. Kosheleva, Vladik Y. Kreinovich, Songsak Sriboonchitta.
• Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness Abstracts of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2018, Hanoi, Vietnam, March 13-15, 2018 (2018), Kittwait Autchariyapanitkul, Olga M. Kosheleva, Vladik Y. Kreinovich, Songsak Sriboonchitta.
• The sums of mv and mv^2 are preserved, why no sum of mv^3: a pedagogical remark Mathematical Structures and Modeling 45 (2018), John C. McClure, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Deep Learning Methods Use KL Divergence Instead of Least Squares: A Possible Pedagogical Explanation Mathematical Structures and Modeling 46 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Student Distributions? Why Matern's Covariance Model? A Symmetry-Based Explanation Springer Verlag (2018), Stephen Schoen, Gael Kermarrec, Boris Kargoll, Ingo Neumann, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Taylor models and modified Taylor models are empirically successful: a symmetry-based explanation Proceedings of the 8th International Workshop on Reliable Engineering Computing REC'2018, Liverpool, UK, July 16-18, 2018 (in press), Mioara Joldes, Christoph Lauter, Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Triangular Membership Functions Are Often Efficient in F-Transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets Proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2018, Cadiz, Spain, June 11-15, 2018 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Grading that Takes into Account the Need to Learn from Mistakes Journal of Uncertain Systems 12 3 (2018), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Constraint Approach to Multi-Objective Optimization Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• From Global to Local Constraints: A Constructive Version of Bloch's Principle Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Optimizing pred(25) Is NP-Hard Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Peak-End Rule: A Utility-Based Explanation Springer Verlag (2018), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Range Estimation under Constraints is Computable Unless There Is a Discontinuity Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards a Physically Meaningful Definition of Computable Discontinuous and Multi-Valued Functions (Constraints) Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.

• moderator of Kreinovich/Kosheleva talk in math-and-religion speaker series (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Lawrence M. Lesser.
• The University of Texas at El Paso, College of Education: Driving Change through Partnerships (2021), Volume Kazan Federal University, Holly K. Fields, Beverley Calvo, Clifton Tanabe, Olga Kosheleva, Kristopher Yeager, Paul Carrola.

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