Michał Woźniak
About
Michał Woźniak has authored 155 papers that have received a total of 3.8k indexed citations.
This includes 97 papers in Artificial Intelligence, 19 papers in Electrical and Electronic Engineering and 18 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Data Classification (41 papers), Anomaly Detection Techniques and Applications (33 papers) and Adaptation to Concept Drift in Data Streams (33 papers). Michał Woźniak is often cited by papers focused on Machine Learning and Data Classification (41 papers), Anomaly Detection Techniques and Applications (33 papers) and Adaptation to Concept Drift in Data Streams (33 papers) and collaborates with scholars based in Poland, Spain and United States. Michał Woźniak's co-authors include Bartosz Krawczyk, Marek Kurzyński, Paweł Ksieniewicz, Michał Koziarski and Bogusław Cyganek and has published in prestigious journals such as IEEE Access, Information Sciences and Pattern Recognition.
In The Last Decade
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