no code implementations • 16 Apr 2024 • Soumen Ghosh, Viktor Vegh, Shahrzad Moinian, Hamed Moradi, Alice-Ann Sullivan, John Phamnguyen, David Reutens
State-of-the-art classification algorithms were trained and tested using NeuroMorphix features to predict seizure recurrence.
1 code implementation • 30 Sep 2018 • S. H. Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee
The results of the proposed RCCNet model are compared with five state-of-the-art CNN models in terms of the accuracy, weighted average F1 score and training time.