Medical data processing is one of the priority machine learning areas. Usually, data
obtained in the process of medical patient monitoring are complex and have a different …

Managing uncertainty in preferences is core to creating the next generation of
conversational recommender systems (CRS). However, an often-overlooked element of …

W ogólnym znaczeniu konwergencj a jest nazywany proces, w którym pocz atkowo
niepodobne zjawiska lub obiekty z czasem upodabniaj a sie (zblizaj a sie) do siebie (łac …

How to accurately measure the relevance and redundancy of features is an age-old
challenge in the field of feature selection. However, existing filter-based feature selection …

The paper examines the issue of improving the methods of identification of economic objects
and their analysis using algorithms of intelligent data processing. The use of the developed …

Multi-instance (MI) learning is a branch of machine learning, where each object (bag)
consists of multiple feature vectors (instances)—for example, an image consisting of multiple …

Abstract Language-based Conversational Recommender Systems (CRSs) have attracted
growing attention as they allow users to express and interactively refine their preferences in …

In multi-instance (MI) learning, each object (bag) consists of multiple feature vectors
(instances), and is most commonly regarded as a set of points in a multidimensional space …

Кваліфікаційна наукова праця на правах рукопису. Дисертація на здобуття ступеня
доктора філософії за спеціальністю 122–Комп'ютерні науки (Галузь знань 12 …