Deep Convolutional Neural Networks as Generic Feature Extractors

6 October 2017

Papers citing "Deep Convolutional Neural Networks as Generic Feature Extractors"

9 / 9 papers shown

Title
Convolutional Neural Networks Do Work with Pre-Defined Filters C. Linse Erhardt Barth T. Martinetz 94 5 0 27 Nov 2024
A comparative analysis of deep learning models for lung segmentation on X-ray images Weronika Hryniewska-Guzik Jakub Bilski Bartosz Chrostowski Jakub Drak Sbahi P. Biecek 39 3 0 09 Apr 2024
Pruning Distorted Images in MNIST Handwritten Digits Amarnath R Vinay Kumar 23 1 0 26 May 2023
RF Signal Transformation and Classification using Deep Neural Networks Umar Khalid Nazmul Karim Nazanin Rahnavard 30 4 0 06 Apr 2022
Learning Spatio-Temporal Specifications for Dynamical Systems Suhail Alsalehi Erfan Aasi Ron Weiss C. Belta 42 2 0 20 Dec 2021
Signature-Graph Networks Ali Hamdi Flora D. Salim D. Kim Xiaojun Chang 23 1 0 22 Oct 2021
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma Yucheng Zhang Edrise M. Lobo-Mueller P. Karanicolas S. Gallinger M. Haider Farzad Khalvati MedIm 31 10 0 23 May 2019
Ternary Neural Networks for Resource-Efficient AI Applications Hande Alemdar V. Leroy Adrien Prost-Boucle F. Pétrot 24 204 0 01 Sep 2016
Comparing Time and Frequency Domain for Audio Event Recognition Using Deep Learning L. Hertel Huy P Phan Alfred Mertins 23 62 0 18 Mar 2016