Correction of AI systems by linear discriminants: Probabilistic foundationsAlexander N. Gorban, Ivan Tyukin, Evgeny M. Mirkes et al.|Information Sciences|2018Cited by 72
General stochastic separation theorems with optimal boundsBogdan Grechuk, Ivan Tyukin, Alexander N. Gorban|Neural Networks|2021Cited by 22
Augmented Artificial Intelligence: a Conceptual FrameworkAlexander N. Gorban, Ivan Tyukin, Bogdan Grechuk|arXiv (Cornell University)|2018Cited by 12
High-Dimensional Separability for One- And Few-Shot LearningAlexander N. Gorban, Ivan Tyukin, Bogdan Grechuk et al.|Preprints.org|2021Cited by 11
Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel ClassifiersIvan Tyukin, Stephen Green, Alexander N. Gorban et al.|Unknown|2019Cited by 7