Publications
Szűcs, G. & Papp, D. (2021). Zero Initialised Unsupervised Active Learning by Optimally Balanced Entropy-Based Sampling for Imbalanced Problems, Journal of Experimental & Theoretical Artificial Intelligence, link: https://doi.org/10.1080/0952813X.2021.1924871
Szűcs, G., & Tamás, B. (2018). Body part extraction and pose estimation method in rowing videos, Journal of computing and information technology, 26(1), 29-43. link: https://hrcak.srce.hr/file/300227
Papp, D. & Szűcs, G. (2018). Double Probability Model for Open Set Problem at Image Classification,
INFORMATICA, 2018, Vol. 29, No. 2, 353–369 link: https://doi.org/10.15388/Informatica.2018.171
Szűcs, G. & Papp, D. (2017). MMKK++ algorithm for clustering heterogeneous images into an unknown number of clusters, Electronic Letters on Computer Vision and Image Analysis 16(3):30-45 link: https://www.raco.cat/index.php/ELCVIA/article/download/331199/421978/0
Tóth, B. P., Tóth, M. J., Papp, D., & Szűcs, G. (2016). Deep Learning and SVM Classification for Plant Recognition in Content-Based Large Scale Image Retrieval. In CLEF (Working Notes) pp. 569-578. link: http://ceur-ws.org/Vol-1609/16090569.pdf
Awards
2004 - Harsányi István Prize
2008 - Hungarian Scientific Academy, Bolyai János Scholarship
2013 - HTE Gold Prize
2016 - HTE Puskás Tivadar Prize
Conferences
ICPRAI 2022 - 3rd International Conference on Pattern Recognition and Artificial Intelligence, 2022, Paris, presenter