Towards a More Efficient Representation of Functions in Quantum and Reversible Computing. - Oscar Galindo; Laxman Bokati; Vladik Kreinovich (EUSFLAT Conf., 2019)

Softmax and McFadden's Discrete Choice Under Interval (and Other) Uncertainty. - Bartlomiej Jacek Kubica; Laxman Bokati; Olga Kosheleva; Vladik Kreinovich (PPAM (2), 2019)

How to Assign Grades to Tasks so as to Maximize Student Efforts. - Laxman Bokati; Vyacheslav Kalashnikov; Nataliya I. Kalashnykova; Olga Kosheleva; Vladik Kreinovich (Russ. Digit. Libr. J., 2019)

Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing. - Laxman Bokati; Olga Kosheleva; Vladik Kreinovich; Uram Anibal Sosa Aguirre (ISMSI, 2020)

Scale-Invariance and Fuzzy Techniques Explain the Empirical Success of Inverse Distance Weighting and of Dual Inverse Distance Weighting in Geosciences. - Laxman Bokati; Aaron Velasco; Vladik Kreinovich (NAFIPS, 2020)

How to Combine (Dis)Utilities of Different Aspects into a Single (Dis)Utility Value, and How This Is Related to Geometric Images of Happiness. - Laxman Bokati; Hoang Phuong Nguyen; Olga Kosheleva; Vladik Kreinovich (J. Adv. Comput. Intell. Intell. Informatics, 2020)

A New (Simplified) Derivation of Nash's Bargaining Solution. - Hoang Phuong Nguyen; Laxman Bokati; Vladik Kreinovich (J. Adv. Comput. Intell. Intell. Informatics, 2020)

How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty. - Laxman Bokati; Olga Kosheleva; Vladik Kreinovich (NAFIPS, 2021)

Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? - Kelly Cohen; Laxman Bokati; Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (NAFIPS, 2021)

Why linear expressions in discounting and in empathy: a symmetry-based explanation. - Supanika Leurcharusmee; Laxman Bokati; Olga Kosheleva (Soft Comput., 2021)

Why Smaller-Size Objects Affect the Flow Much More than Larger Ones: A Geometric Explanation with Applications Ranging from Volcanoes and Tornadoes to Blood, Fish, and Buildings Preservation. - Laxman Bokati; Vladik Kreinovich (IS, 2022)

Why Exponential Almon Lag Works Well in Econometrics: An Invariance-Based Explanation. - Laxman Bokati; Vladik Kreinovich (IS, 2022)

How to Elicit Complex-Valued Fuzzy Degrees. - Laxman Bokati; Olga Kosheleva; Vladik Kreinovich (NAFIPS, 2022)

Why Daubechies wavelets are so successful. - Solymar Ayala Cortez; Laxman Bokati; Aaron Velasco; Vladik Kreinovich (J. Intell. Fuzzy Syst., 2022)

Why Time Seems to Pass Slowly for Unpleasant Experiences and Quickly for Pleasant Experiences: An Explanation Based on Decision Theory. - Laxman Bokati; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Why Rectified Power (RePU) Activation Functions are Efficient in Deep Learning: A Theoretical Explanation. - Laxman Bokati; Vladik Kreinovich; Joseph Baca; Natasha Rovelli (Uncertainty, Constraints, and Decision Making, 2023)

Why Rarity Score Is a Good Evaluation of a Non-Fungible Token. - Laxman Bokati; Olga Kosheleva; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Why Markov Switching Models Work Well: An Explanation. - Woraphon Yamaka; Laxman Bokati (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2023)