2 citations · 3 across the 4 of their papers we have counts for
4 papers
Assessing High-Risk AI Systems under the EU AI Act: From Legal Requirements to Technical Verification
Alessio Buscemi, Tom Deckenbrunnen, Fahria Kabir +2
The implementation of the AI Act requires practical mechanisms to verify compliance with legal obligations, yet concrete and operational mappings from high-level requirements to ve…
Newton-type Methods for REML Estimation in Genetic Analysis of Quantitative Traits
Kateryna Mishchenko, Sverker Holmgren, Lars Ronnegard
Robust and efficient optimization methods for variance component estimation using Restricted Maximum Likelihood (REML) models for genetic mapping of quantitative traits are conside…
Adapted Downhill Simplex Method for Pricing Convertible Bonds
Kateryna Mishchenko, Volodymyr Mishchenko, Anatoliy Malyarenko
The paper is devoted to modeling optimal exercise strategies of the behavior of investors and issuers working with convertible bonds. This implies solution of the problems of stock…
Efficient Implementation of the AI-REML Iteration for Variance Component QTL Analysis
Kateryna Mishchenko, Sverker Holmgren, Lars Ronnegard
Regions in the genome that affect complex traits, quantitative trait loci (QTL), can be identified using statistical analysis of genetic and phenotypic data. When restricted maximu…