Hollow n-grams Vectorizer for Natural Language Processing Problems. - Weronika Borek-Marciniec; Pawel Ksieniewicz (CORES/IP&C, 2023)

Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news. - Pawel Ksieniewicz; Pawel Zyblewski; Weronika Borek-Marciniec; Rafal Kozik; Michal Choras; Michal Wozniak 001 (Eng. Appl. Artif. Intell., 2023)

Neural network architecture with intermediate distribution-driven layer for classification of multidimensional data with low class separability. - Weronika Borek-Marciniec; Pawel Ksieniewicz (Appl. Intell., 2023)

MOO-Points - Distance-based Method for Multi-objective Optimization in the Imbalanced Data Classification Task. - Weronika Borek-Marciniec; Michal Wozniak 001 (CISIM, 2024)

WarCov - Large multilabel and multimodal dataset from social platform. - Weronika Borek-Marciniec; Pawel Zyblewski; Jakub Klikowski; Pawel Ksieniewicz (CoRR, 2024)

Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain. - Pawel Zyblewski; Jakub Klikowski; Weronika Borek-Marciniec; Pawel Ksieniewicz (CoRR, 2024)