2 citations · 6 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Unsupervised Concept Drift Detection based on Parallel Activations of Neural Network
Joanna Komorniczak, Paweł Ksieniewicz
Practical applications of artificial intelligence increasingly often have to deal with the streaming properties of real data, which, considering the time factor, are subject to phe…
Taking Class Imbalance Into Account in Open Set Recognition Evaluation
Joanna Komorniczak, Pawel Ksieniewicz
In recent years Deep Neural Network-based systems are not only increasing in popularity but also receive growing user trust. However, due to the closed-world assumption of such sys…