Publications

Novel Methods for Bayesian Networks Construction and Explanation using Natural Language

Evaluation of explainable AI by medical experts: a survey of the existing approaches

Explaining Bayesian Networks Reasoning to the General Public: Insights from the User Study

On the role of explanations in machine learning prediction of nonalcoholic steatohepatitis

Reusability of Bayesian Networks case studies: a survey

Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis

Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domain

Toxicity Classification in Ukrainian

MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages

Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements

Error syntax aware augmentation of feedback comment generation dataset

Detecting Text Formality: A Study of Text Classification Approaches

Don’t Lose the Message While Paraphrasing: A Study on Content Preserving Style Transfer