Maciej Zięba

32 papers and 697 indexed citations i.

Maciej Zięba has authored 32 papers that have received a total of 697 indexed citations. This includes 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 5 papers in Accounting. The topics of these papers are Imbalanced Data Classification Techniques (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Financial Distress and Bankruptcy Prediction (5 papers). Maciej Zięba is often cited by papers focused on Imbalanced Data Classification Techniques (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Financial Distress and Bankruptcy Prediction (5 papers) and collaborates with scholars based in Poland, Spain and Switzerland. Maciej Zięba's co-authors include Jakub M. Tomczak, T. P. Trzcinski, Manuel Arruebo, Jacek Tabor and Przemysław Spurek and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications