6 citations · 13 across the 4 of their papers we have counts for
4 papers
Survey of explainable machine learning with visual and granular methods beyond quasi-explanations
Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, Ankur Teredesai
This paper surveys visual methods of explainability of Machine Learning (ML) with focus on moving from quasi-explanations that dominate in ML to domain-specific explanation support…
Probabilistic Dynamic Logic of Phenomena and Cognition
Evgenii Vityaev, Boris Kovalerchuk, Leonid Perlovsky +1
The purpose of this paper is to develop further the main concepts of Phenomena Dynamic Logic (P-DL) and Cognitive Dynamic Logic (C-DL), presented in the previous paper. The specifi…
Modeling of Phenomena and Dynamic Logic of Phenomena
Boris Kovalerchuk, Leonid Perlovsky, Gregory Wheeler
Modeling of complex phenomena such as the mind presents tremendous computational complexity challenges. Modeling field theory (MFT) addresses these challenges in a non-traditional…
Symbolic Methodology in Numeric Data Mining: Relational Techniques for Financial Applications
B. Kovalerchuk, E. Vityaev, H. Yusupov
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness…