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Weronika Borek-Marciniec

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2024
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Weronika Borek-Marciniec, Michal Wozniak:
MOO-Points - Distance-based Method for Multi-objective Optimization in the Imbalanced Data Classification Task. CISIM 2024: 319-331
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Weronika Borek-Marciniec, Pawel Zyblewski, Jakub Klikowski, Pawel Ksieniewicz:
WarCov - Large multilabel and multimodal dataset from social platform. CoRR abs/2406.10255 (2024)
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Pawel Zyblewski, Jakub Klikowski, Weronika Borek-Marciniec, Pawel Ksieniewicz:
Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain. CoRR abs/2407.10807 (2024)
2023
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Weronika Borek-Marciniec, Pawel Ksieniewicz:
Neural network architecture with intermediate distribution-driven layer for classification of multidimensional data with low class separability. Appl. Intell. 53(21): 26050-26066 (2023)
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Pawel Ksieniewicz, Pawel Zyblewski, Weronika Borek-Marciniec, Rafal Kozik, Michal Choras, Michal Wozniak:
Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news. Eng. Appl. Artif. Intell. 120: 105882 (2023)
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Weronika Borek-Marciniec, Pawel Ksieniewicz:
Hollow n-grams Vectorizer for Natural Language Processing Problems. CORES/IP&C 2023: 15-22

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