3 code implementations • 17 Aug 2021 • Luca Parisi
This study presents the m-arcsinh Kernel ('m-ar-K') Fast Independent Component Analysis ('FastICA') method ('m-ar-K-FastICA') for feature extraction.
1 code implementation • 15 Nov 2020 • Luca Parisi, Renfei Ma, Narrendar RaviChandran, Matteo Lanzillotta
This paper presents the 'hyper-sinh', a variation of the m-arcsinh activation function suitable for Deep Learning (DL)-based algorithms for supervised learning, such as Convolutional Neural Networks (CNN).
1 code implementation • 15 Oct 2020 • Luca Parisi, D. Neagu, R. Ma, F. Campean
The ReLU activation function (AF) has been extensively applied in deep neural networks, in particular Convolutional Neural Networks (CNN), for image classification despite its unresolved dying ReLU problem, which poses challenges to reliable applications.
1 code implementation • 16 Sep 2020 • Luca Parisi
This paper describes the 'm-arcsinh', a modified ('m-') version of the inverse hyperbolic sine function ('arcsinh').