Novel clustering-based pruning algorithms von Zyblewski, Paweł, Woźniak, Michał

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Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams von Zyblewski, Paweł, Sabourin, Robert, Woźniak, Michał

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Active Weighted Aging Ensemble for drifted data stream classification von Woźniak, Michał, Zyblewski, Paweł, Ksieniewicz, Paweł

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Statistical Drift Detection Ensemble for batch processing of data streams von Komorniczak, Joanna, Zyblewski, Paweł, Ksieniewicz, Paweł

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Fusion of linear base classifiers in geometric space von Ksieniewicz, Paweł, Zyblewski, Paweł, Burduk, Robert

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Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification

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Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news von Ksieniewicz, Paweł, Zyblewski, Paweł, Borek-Marciniec, Weronika, Kozik, Rafał, Choraś, Michał, Woźniak, Michał

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Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity von Zyblewski, Paweł, Woźniak, Michał

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Clustering-Based Ensemble Pruning in the Imbalanced Data Classification von Zyblewski, Paweł

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Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble von Zyblewski, Paweł, Ksieniewicz, Paweł, Woźniak, Michał

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Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access von Zyblewski, Paweł, Woźniak, Michał

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Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification von Zyblewski, Paweł

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Machine Learning Model for Predicting Production Process Capability in Packaging Process von Orłowski, Robert, Burduk, Anna, Zyblewski, Paweł

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Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance von Zyblewski, Paweł, Woźniak, Michał

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Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis von Sułot, Dominika, Zyblewski, Paweł, Ksieniewicz, Paweł

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Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification von Zyblewski, Paweł, Ksieniewicz, Paweł, Woźniak, Michał

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Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification von Zyblewski, Paweł

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Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification von Zyblewski, Paweł, Minku, Leandro L

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Structuring the Processing Frameworks for Data Stream Evaluation and Application von Komorniczak, Joanna, Ksieniewicz, Paweł, Zyblewski, Paweł

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stream-learn -- open-source Python library for difficult data stream batch analysis von Ksieniewicz, Paweł, Zyblewski, Paweł

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