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Objective Evaluation of Deep Uncertainty Predictions for COVID-19
  Detection

Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection

22 December 2020
Hamzeh Asgharnezhad
Afshar Shamsi Jokandan
R. Alizadehsani
Abbas Khosravi
S. Nahavandi
Z. Sani
D. Srinivasan
    UQCV
ArXivPDFHTML

Papers citing "Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection"

11 / 11 papers shown
Title
Relationship between Uncertainty in DNNs and Adversarial Attacks
Relationship between Uncertainty in DNNs and Adversarial Attacks
Abigail Adeniran
Adewale Adeyemo
Adewale Adeyemo
AAML
20
0
0
20 Sep 2024
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
Aidan Furlong
Farah Alsafadi
S. Palmtag
Andrew Godfrey
Xu Wu
57
1
0
27 Jun 2024
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
41
20
0
09 Oct 2023
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty
  Propagation in Encoder-Decoder Networks
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks
Giuseppina Carannante
Dimah Dera
Nidhal C.Bouaynaya
Hassan M. Fathallah-Shaykh
Ghulam Rasool
UQCV
AAML
OOD
27
6
0
10 Nov 2021
An Uncertainty-aware Loss Function for Training Neural Networks with
  Calibrated Predictions
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions
Afshar Shamsi
Hamzeh Asgharnezhad
AmirReza Tajally
Saeid Nahavandi
Henry Leung
UQCV
44
6
0
07 Oct 2021
An Uncertainty-Aware Deep Learning Framework for Defect Detection in
  Casting Products
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products
Maryam Habibpour
Hassan Gharoun
AmirReza Tajally
Afshar Shamsi Jokandan
Hamzeh Asgharnezhad
Abbas Khosravi
S. Nahavandi
UQCV
26
13
0
24 Jul 2021
Time series forecasting of new cases and new deaths rate for COVID-19
  using deep learning methods
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
Nooshin Ayoobi
Danial Sharifrazi
R. Alizadehsani
A. Shoeibi
Juan M Gorriz
...
S. Nahavandi
A. G. Chofreh
Feybi Ariani Goni
J. Klemeš
Amir H. Mosavi
AI4TS
26
101
0
28 Apr 2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and
  Limited Labeled COVID-19 Data
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
R. Alizadehsani
Danial Sharifrazi
N. H. Izadi
Javad Hassannataj Joloudari
A. Shoeibi
...
F. Khozeimeh
Abbas Khosravi
S. Nahavandi
Sheikh Mohammed Shariful Islam
U. Acharya
24
59
0
12 Feb 2021
Automated Detection and Forecasting of COVID-19 using Deep Learning
  Techniques: A Review
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Navid Ghassemi
Delaram Sadeghi
...
Z. Sani
F. Khozeimeh
S. Nahavandi
U. Acharya
Juan M Gorriz
51
178
0
16 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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
285
9,138
0
06 Jun 2015
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