Elżbieta Pękalska

15 papers and 699 indexed citations i.

Elżbieta Pękalska has authored 15 papers that have received a total of 699 indexed citations. This includes 13 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. The topics of these papers are Face and Expression Recognition (12 papers), Neural Networks and Applications (6 papers) and Machine Learning and Data Classification (5 papers). Elżbieta Pękalska is often cited by papers focused on Face and Expression Recognition (12 papers), Neural Networks and Applications (6 papers) and Machine Learning and Data Classification (5 papers) and collaborates with scholars based in The Netherlands, United Kingdom and Germany. Elżbieta Pękalska's co-authors include Robert P. W. Duin, David M. J. Tax, Pavel Paclı́k, Bernard Haasdonk and Richard C. Wilson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Journal of Machine Learning Research