1 code implementation • 29 Aug 2023 • Temesgen Mehari, Nils Strodthoff
These components consistently enhance performance beyond the existing state-of-the-art, which is predominantly based on convolutional models.
1 code implementation • 26 May 2023 • Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, Nils Strodthoff
Furthermore, we demonstrate how these XAI techniques can be utilized for knowledge discovery, such as identifying subtypes of myocardial infarction.
1 code implementation • 5 Apr 2023 • Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter Harris, Steven E. Williams, Axel Loewe, Olaf Doessel, Claudia Nagel, Nils Strodthoff, Philip J. Aston
Feature importance methods promise to provide a ranking of features according to importance for a given classification task.
1 code implementation • 14 Nov 2022 • Temesgen Mehari, Nils Strodthoff
The field of deep-learning-based ECG analysis has been largely dominated by convolutional architectures.
1 code implementation • 23 Mar 2021 • Temesgen Mehari, Nils Strodthoff
In a first step, we learn contrastive representations and evaluate their quality based on linear evaluation performance on a recently established, comprehensive, clinical ECG classification task.
no code implementations • 9 Apr 2020 • Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek
In this work we propose a method for reducing the computational cost of backprop, which we named dithered backprop.