activity
20202026
most citedstream-learn -- open-source Python library for difficult data stream batch analysis

10 citations · 10 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.LG2024

Structuring the Processing Frameworks for Data Stream Evaluation and Application

Joanna Komorniczak, Paweł Ksieniewicz, Paweł Zyblewski

The following work addresses the problem of frameworks for data stream processing that can be used to evaluate the solutions in an environment that resembles real-world application…

cs.LG2024

Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification

Paweł Zyblewski, Leandro L. Minku

Technological advances facilitate the ability to acquire multimodal data, posing a challenge for recognition systems while also providing an opportunity to use the heterogeneous na…

cs.CL2024

Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain

Paweł Zyblewski, Jakub Klikowski, Weronika Borek-Marciniec +1

Tabular data is considered the last unconquered castle of deep learning, yet the task of data stream classification is stated to be an equally important and demanding research area…

cs.CL2024

WarCov -- Large multilabel and multimodal dataset from social platform

Weronika Borek-Marciniec, Pawel Zyblewski, Jakub Klikowski +1

In the classification tasks, from raw data acquisition to the curation of a dataset suitable for use in evaluating machine learning models, a series of steps - often associated wit…

cs.LG2024

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

Paweł Zyblewski

Rapid technological advances are inherently linked to the increased amount of data, a substantial portion of which can be interpreted as data stream, capable of exhibiting the phen…