10 citations · 10 across the 10 of their papers we have counts for
10 papers
Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches
Teddy Ferdinan, Bartłomiej Koptyra, Mikołaj Langner +42
While Reasoning Language Models (RLMs) are rapidly emerging as powerful tools for scientific research, their impact is primarily concentrated in "hard science" fields. The slow --…
How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation
Paweł Zyblewski, Szymon Wojciechowski
The successes achieved by deep neural networks in computer vision tasks have led in recent years to the emergence of a new research area dubbed Multi-Dimensional Encoding (MDE). Me…
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…
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…
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…
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…
Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification
Jędrzej Kozal, Michał Leś, Paweł Zyblewski +2
The abundance of information in digital media, which in today's world is the main source of knowledge about current events for the masses, makes it possible to spread disinformatio…
Active Weighted Aging Ensemble for Drifted Data Stream Classification
Michał Woźniak, Paweł Zyblewski, Paweł Ksieniewicz
One of the significant problems of streaming data classification is the occurrence of concept drift, consisting of the change of probabilistic characteristics of the classification…
stream-learn -- open-source Python library for difficult data stream batch analysis
Paweł Ksieniewicz, Paweł Zyblewski
stream-learn is a Python package compatible with scikit-learn and developed for the drifting and imbalanced data stream analysis. Its main component is a stream generator, which al…