Joanna Komorniczak

Joanna Komorniczak
Wroclaw University of Science and Technology | WUT · Department of Systems and Computer Networks

Master of Science

About

6
Publications
278
Reads
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10
Citations
Citations since 2017
6 Research Items
10 Citations
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
Education
February 2020 - July 2022
Wroclaw University of Science and Technology
Field of study
  • Computer Science
October 2017 - February 2020
Wroclaw University of Science and Technology
Field of study
  • Computer Science

Publications

Publications (6)
Article
The problem’s complexity assessment is an essential element of many topics in the supervised learning domain. It plays a significant role in meta-learning – becoming the basis for determining meta-attributes or multi-criteria optimization – allowing the evaluation of the training set resampling without needing to rebuild the recognition model. The...
Conference Paper
With the processing of data streams, come inevitable challenges, such as changes in the prior (class drift) and posterior (concept drift) probability distribution over the processing time. Both these phenomena have a negative impact on the quality of the classification. Heavily imbalanced problems, which are often typical for real-world application...
Preprint
Full-text available
The classification problem's complexity assessment is an essential element of many topics in the supervised learning domain. It plays a significant role in meta-learning -- becoming the basis for determining meta-attributes or multi-criteria optimization -- allowing the evaluation of the training set resampling without needing to rebuild the recogn...
Article
Among the difficulties being considered in data stream processing, a particularly interesting one is the phenomenon of concept drift. Methods of concept drift detection are frequently used to eliminate the negative impact on the quality of classification in the environment of evolving concepts. This article proposes Statistical Drift Detection Ense...
Conference Paper
Despite the fact that real-life data streams may often be characterized by the dynamic changes in the prior class probabilities, there is a scarcity of articles trying to clearly describe and classify this problem as well as suggest new methods dedicated to resolving this issue. The following paper aims to fill this gap by proposing a novel data st...

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