Results 111 to 120 of about 3,882,996 (203)

Musical Instrument Recognition in Polyphonic Audio Through Convolutional Neural Networks and Spectrograms

This study investigates the task of identifying musical instruments in polyphonic compositions using Convolutional Neural Networks (CNNs) from spectrogram inputs, focusing on binary classification. The model showed promising results, with an accuracy of
Ghobakhlou, Ali, Rujia, Chen, Narayanan, Ajit   +2 more
core  

Interpreting convolutional neural networks in population genetics. [PDF]

Mol Biol Evol
Xu H, Zong L, Ray DD, Lei L, Schrider DR, Baumdicker F, Mathieson S.   +6 more
europepmc   +1 more source

Classification Performance of Convolutional Neural Networks

, 2016
The purpose of this thesis is to determine the performance of convolutional neural networks in classifications per millisecond, not training or accuracy, for the GTX960 and the TegraX1.
Mattsson, Niklas
core   +1 more source

Perceptual misalignment of texture representations in convolutional neural networks. [PDF]

J Vis
de Paolis L, Anselmi F, Ansuini A, Piasini E.   +3 more
europepmc   +1 more source

Convolutional Neural Network Feature Reduction Using Wavelet Transform

Paper describes wavelet transform possible application for convolutional neural networks (CNN). As it already known, wavelet transform gives good signal representation in time and frequency domains.
Ļevinskis, Aleksandrs
core  

Graph Convolutional Neural Network [PDF]

Procedings of the British Machine Vision Conference 2016, 2016
Michael Edwards, Xianghua Xie
openaire   +2 more sources

Bayesian Convolutional Neural Networks for Uncertainty-Aware Classification of Infrasound Events. [PDF]

Sensors (Basel)
Yin H, Zhang K, Lu Y, Chang Y, Wu Y, Yang F, Li X, Xu J, Pang X.   +8 more
europepmc   +1 more source

Mapping coastal forest retreat using convolutional neural networks and different satellite imagery. [PDF]

PLoS One
Tajudeen TT, Ardon M, Tulbure M, Martin KL.   +3 more
europepmc   +1 more source

OrgNet+: towards robust protein stability prediction with convolutional neural networks. [PDF]

Bioinformatics
Sarycheva A, Shumilov A, Popov P.
europepmc   +1 more source

Dynamic convolutional neural networks for altitude aware UAV object detection. [PDF]

Sci Rep
Piponidis M, Theocharides T.
europepmc   +1 more source