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Artificial Bee Colony optimization of Deep Convolutional Neural Networks
  in the context of Biomedical Imaging

Artificial Bee Colony optimization of Deep Convolutional Neural Networks in the context of Biomedical Imaging

23 February 2024
Adri Gomez Martin
Carlos Fernandez del Cerro
Monica Abella Garcia
Manuel Desco Menendez
ArXivPDFHTML

Papers citing "Artificial Bee Colony optimization of Deep Convolutional Neural Networks in the context of Biomedical Imaging"

5 / 5 papers shown
Title
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
256
1,911
0
12 Nov 2020
Transfusion: Understanding Transfer Learning for Medical Imaging
Transfusion: Understanding Transfer Learning for Medical Imaging
M. Raghu
Chiyuan Zhang
Jon M. Kleinberg
Samy Bengio
MedIm
75
982
0
14 Feb 2019
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
271
1,028
0
26 Mar 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
424
5,367
0
05 Nov 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.4K
100,213
0
04 Sep 2014
1