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ORCIDChristoph Linse
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2020 – today
- 2024
[c5]Christoph Linse
, Beatrice Brückner, Thomas Martinetz:
Enhancing Generalization in Convolutional Neural Networks Through Regularization with Edge and Line Features. ICANN (1) 2024: 432-446- [c4]Christoph Linse, Erhardt Barth, Thomas Martinetz:
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks. IJCNN 2024: 1-8 - [c3]Julius Martinetz, Christoph Linse, Thomas Martinetz:
Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes. IJCNN 2024: 1-10 - 2023
- [c2]Christoph Linse, Thomas Martinetz:
Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization. ICMLC 2023: 279-283 - [c1]Christoph Linse, Erhardt Barth, Thomas Martinetz:
Convolutional Neural Networks Do Work with Pre-Defined Filters. IJCNN 2023: 1-8 - 2022
- [j7]Christoph Linse, Hammam A. Alshazly, Thomas Martinetz:
A walk in the black-box: 3D visualization of large neural networks in virtual reality. Neural Comput. Appl. 34(23): 21237-21252 (2022) - [i2]Christoph Linse, Thomas Martinetz:
Large Neural Networks Learning from Scratch with Very Few Data and without Regularization. CoRR abs/2205.08836 (2022) - 2021
- [j6]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Sahar Ahmed Idris, Thomas Martinetz:
Towards Explainable Ear Recognition Systems Using Deep Residual Networks. IEEE Access 9: 122254-122273 (2021) - [j5]Hammam A. Alshazly, Christoph Linse, Mohamed Abdalla, Erhardt Barth, Thomas Martinetz:
COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans. PeerJ Comput. Sci. 7: e655 (2021) - [j4]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning. Sensors 21(2): 455 (2021) - 2020
- [j3]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Deep Convolutional Neural Networks for Unconstrained Ear Recognition. IEEE Access 8: 170295-170310 (2020) - [i1]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning. CoRR abs/2011.05317 (2020)
2010 – 2019
- 2019
- [j2]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition. Sensors 19(19): 4139 (2019) - [j1]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Handcrafted versus CNN Features for Ear Recognition. Symmetry 11(12): 1493 (2019)
Coauthor Index
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