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09/05/2023
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
In recent years, the development of robotics and artificial intelligence...
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04/27/2023
Uncertainty Aware Neural Network from Similarity and Sensitivity
Researchers have proposed several approaches for neural network (NN) bas...
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04/22/2023
A Review of Deep Learning for Video Captioning
Video captioning (VC) is a fast-moving, cross-disciplinary area of resea...
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04/11/2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing
Although neural networks (especially deep neural networks) have achieved...
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03/17/2023
SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data
In this paper, a new feature selection algorithm, called SFE (Simple, Fa...
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10/26/2022
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
In recent years, cardiovascular diseases (CVDs) have become one of the l...
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10/26/2022
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence
Myocarditis is among the most important cardiovascular diseases (CVDs), ...
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06/09/2022
Human Activity Recognition from Knee Angle Using Machine Learning Techniques
Human Activity Recognition (HAR) is a crucial technology for many applic...
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06/09/2022
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks
Human Activity Recognition (HAR) is one of the essential building blocks...
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05/31/2022
Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression
Nowadays, many people worldwide suffer from brain disorders, and their h...
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05/06/2022
Controlled Dropout for Uncertainty Estimation
Uncertainty quantification in a neural network is one of the most discus...
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01/28/2022
DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation
Accurate segmentation of the vertebra is an important prerequisite in va...
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11/25/2021
Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface
Exoskeletons and orthoses are wearable mobile systems providing mechanic...
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10/14/2021
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification
This study aims to explore different pre-trained models offered in the T...
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10/07/2021
Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization
Uncertainty quantification of machine learning and deep learning methods...
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09/12/2021
Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression
Many works have been done to handle the uncertainties in the data using ...
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08/24/2021
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Breast histology image classification is a crucial step in the early dia...
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07/28/2021
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning
Countless research works of deep neural networks (DNNs) in the task of c...
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07/24/2021
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products
Defects are unavoidable in casting production owing to the complexity of...
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07/19/2021
Confidence Aware Neural Networks for Skin Cancer Detection
Deep learning (DL) models have received particular attention in medical ...
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05/29/2021
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works
Epileptic seizures are a type of neurological disorder that affect many ...
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05/18/2021
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection
The COVID-19 (Coronavirus disease 2019) has infected more than 151 milli...
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04/28/2021
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods
Covid-19 has been started in the year 2019 and imposed restrictions in m...
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04/18/2021
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients
In this paper, we propose a novel method named CNN-AE to predict surviva...
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02/13/2021
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
The coronavirus (COVID-19) is currently the most common contagious disea...
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02/12/2021
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data
The new coronavirus has caused more than 1 million deaths and continues ...
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12/22/2020
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection
Deep neural networks (DNNs) have been widely applied for detecting COVID...
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11/12/2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Uncertainty quantification (UQ) plays a pivotal role in reduction of unc...
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08/23/2020
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)
Understanding data and reaching valid conclusions are of paramount impor...
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07/26/2020
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis
The early and reliable detection of COVID-19 infected patients is essent...
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07/07/2020
SpinalNet: Deep Neural Network with Gradual Input
Over the past few years, deep neural networks (DNNs) have garnered remar...
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07/02/2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Accurate diagnosis of Autism Spectrum Disorder (ASD) is essential for ma...
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07/02/2020
Epileptic seizure detection using deep learning techniques: A Review
A variety of screening approaches have been proposed to diagnose epilept...
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06/29/2020
Material Recognition for Automated Progress Monitoring using Deep Learning Methods
Recent advancements in Artificial intelligence, especially deep learning...
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12/30/2019
Optimal Uncertainty-guided Neural Network Training
The neural network (NN)-based direct uncertainty quantification (UQ) met...
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10/17/2016