Honorable Mention Award Jaworek-Korjakowska J., Kłeczek P., Gorgoń M.: Melanoma Thickness Prediction Based on Convolutional Neural Network With VGG-19 Model Transfer Learning, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Konferencja klasyfikowana jako A* na liście CORE

Tango Meeting 2019
Michał Piekarski: Deep Neural Network for Anomaly Detection in Multivariate Signals (presentation)

PP-RAI'2019: Polskie Porozumienie na rzecz Rozwoju Sztucznej Inteligencji
Jaworek-Korjakowska J., Brodzicki A., Kucharski D., Piekarski M., Gorgoń M.: Break the curse of small datasets in computer vision tasks with transfer learning methods ===== 2018 ===== * SPIE Medical Imaging 2018 (Houston, TX, USA)
Paweł Kłeczek: Segmentation of black ink and melanin in skin histopathological images¹⁾ (poster) ===== 2017 ===== * 20-th Polish Conference on Biocybernetics and Biomedical Engineering (Kraków, Polska)
Paweł Kłeczek: The accuracy of H&E stain unmixing techniques when estimating relative stain concentrations²⁾ (poster) * SPIE Medical Imaging 2017 (Orlando, FL, USA)
Paweł Kłeczek: Automated epidermis segmentation in histopathological images of human skin stained with hematoxylin and eosin³⁾ (poster) ===== 2014 ===== * 11th International Conference on Cellular Automata for Research and Industry -- ACRI 2014 (Kraków, Poland)
Paweł Kłeczek: Simulation of Pedestrians Behavior in a Shopping Mall⁴⁾ (presentation) ===== 2013 ===== * Jaworek-Korjakowska J., Tadeusiewicz R.: Assessment of dots and globules in dermoscopic color images as one of the 7-point check list criteria, Proceedings of IEEE International Conference on Image Processing (ICIP 2013) : September 15–18, 2013, Melbourne, Australia, pp. 1456 – 1460, 2013, CORE B