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On the use of uncertainty in classifying Aedes Albopictus mosquitoes

On the use of uncertainty in classifying Aedes Albopictus mosquitoes

29 October 2021
Gereziher W. Adhane
Mohammad Mahdi Dehshibi
David Masip
ArXivPDFHTML

Papers citing "On the use of uncertainty in classifying Aedes Albopictus mosquitoes"

6 / 6 papers shown
Title
Deep Learning and Computer Vision for Glaucoma Detection: A Review
Deep Learning and Computer Vision for Glaucoma Detection: A Review
Mona Ashtari-Majlan
Mohammad Mahdi Dehshibi
David Masip
12
9
0
31 Jul 2023
Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps
  and Residual Convolutional Neural Networks
Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks
K. Paim
Ricardo Rohweder
M. R. Mendoza
R. Mansilha
Weverton Cordeiro
12
2
0
16 Jun 2023
Pain level and pain-related behaviour classification using GRU-based
  sparsely-connected RNNs
Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs
Mohammad Mahdi Dehshibi
Temitayo A. Olugbade
F. Díaz-de-María
N. Bianchi-Berthouze
Ana Tajadura-Jiménez
16
10
0
20 Dec 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for
  Convolutional Neural Networks
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
Mohammad Mahdi Dehshibi
Mona Ashtari-Majlan
Gereziher W. Adhane
David Masip
AAML
FAtt
11
3
0
02 Mar 2022
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
741
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
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