New paper accepted at ICANN 2020
Our latest paper, on learning mathematical relations among tumor histopathological and morphological parameters to capture phenotypical growth transitions, entitled
“Tumor Characterization using Unsupervised Learning of Mathematical Relations within Breast Cancer Data” by Cristian Axenie and Daria Kurz
was accepted at the 29th International Conference on Artificial Neural Networks, ICANN2020. The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The 29th ICANN Conference was planned for 15-18th September 2020 in Bratislava, Slovakia.