4 papers
Multi-Metric Algorithmic Complexity: Beyond Asymptotic Analysis
Sergii Kavun
Traditional algorithm analysis treats all basic operations as equally costly, which hides significant differences in time, energy consumption, and cost between different types of c…
Hybrid activation functions for deep neural networks: S3 and S4 -- a novel approach to gradient flow optimization
Sergii Kavun
Activation functions are critical components in deep neural networks, directly influencing gradient flow, training stability, and model performance. Traditional functions like ReLU…
Multiple data-driven missing imputation
Sergii Kavun
This paper introduces KZImputer, a novel adaptive imputation method for univariate time series designed for short to medium-sized missed points (gaps) (1-5 points and beyond) with…
Theory: Multidimensional Space of Events
Sergii Kavun
This paper extends Bayesian probability theory by developing a multidimensional space of events (MDSE) theory that accounts for mutual influences between events and hypotheses sets…