Latest Academic Works
Feature construction techniques in time-series analysis and single-objective optimization
Feature construction, encompassing both feature engineering, which involves the manual design of features by domain experts, and representation learning, which refers to the automated discovery of useful data representations during model construction, is a fundamental aspect of machine learning. Its goal is to transform raw data into a more suitable …
Evolutionary algorithms for optimizing pessimistic bilevel problems and min-max problems
This thesis investigates two distinct but related optimization problems: bilevel and minmax problems, in the context of evolutionary algorithms (EAs). Bilevel optimization involves hierarchical decision-making, where decisions at the upper level are subject to constraints defined by the solutions of an optimization problem at the lower level. These problems are …
The sensor hub for detection of the relation between physiological parameters and colour modifications in text background and overlay during reading in children with and without dyslexia
The doctoral dissertation discusses the mechanisms of the colours’ influence on the reading process and electrophysiological correlates of the reader's condition, considering developmental aspects, graded (level) aspects and gender aspects of tested groups of children and their reading acquisition. The reading process is one of the most important processes during …