Paweł Ksieniewicz
About
Paweł Ksieniewicz has authored 29 papers that have received a total of 240 indexed citations.
This includes 22 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. The topics of these papers are Adaptation to Concept Drift in Data Streams (13 papers), Anomaly Detection Techniques and Applications (11 papers) and Machine Learning and Data Classification (11 papers). Paweł Ksieniewicz is often cited by papers focused on Adaptation to Concept Drift in Data Streams (13 papers), Anomaly Detection Techniques and Applications (11 papers) and Machine Learning and Data Classification (11 papers) and collaborates with scholars based in Poland, Spain and Australia. Paweł Ksieniewicz's co-authors include Michał Woźniak, Krzysztof Walkowiak, Michał Choraś, Bogusław Cyganek and Andrzej Kasprzak and has published in prestigious journals such as PLoS ONE, IEEE Access and Information Sciences.
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