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09/10/2023
A Review of Machine Learning-based Security in Cloud Computing
Cloud Computing (CC) is revolutionizing the way IT resources are deliver...
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09/09/2023
A Review on Robot Manipulation Methods in Human-Robot Interactions
Robot manipulation is an important part of human-robot interaction techn...
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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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04/15/2023
A novel approach of a deep reinforcement learning based motion cueing algorithm for vehicle driving simulation
In the field of motion simulation, the level of immersion strongly depen...
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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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04/04/2023
A Brief Review of Explainable Artificial Intelligence in Healthcare
XAI refers to the techniques and methods for building AI applications wh...
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12/24/2022
A Comprehensive Review on Autonomous Navigation
The field of autonomous mobile robots has undergone dramatic advancement...
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09/20/2022
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis
This paper proposes transferred initialization with modified fully conne...
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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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05/06/2022
Controlled Dropout for Uncertainty Estimation
Uncertainty quantification in a neural network is one of the most discus...
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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
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors
One of the most common problems encountered in human-computer interactio...
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09/02/2021
Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models
Schizophrenia (SZ) is a mental disorder whereby due to the secretion of ...
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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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05/11/2021
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Multiple Sclerosis (MS) is a type of brain disease which causes visual, ...
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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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02/27/2020
Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework
Reinforcement learning (RL) has emerged as a standard approach for build...
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02/27/2020
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
Multi-agent learning distinctly poses significant challenges in the effo...
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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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09/25/2019
Deep Learning for Deepfakes Creation and Detection
Deep learning has been successfully applied to solve various complex pro...
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04/22/2019
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet
Understanding the behaviors and intentions of humans are one of the main...
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04/19/2019
Realistic Hair Simulation Using Image Blending
In this presented work, we propose a realistic hair simulator using imag...
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02/14/2019
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery
In robotic surgery, pattern cutting through a deformable material is a c...
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01/10/2019
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting
Surgeons normally need surgical scissors and tissue grippers to cut thro...
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12/31/2018
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Reinforcement learning (RL) algorithms have been around for decades and ...
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07/14/2018
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space
Tremendous amounts of expensive annotated data are a vital ingredient fo...
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06/24/2018
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity
Deeper convolutional neural networks provide more capacity to approximat...
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06/12/2018
Multi-Agent Deep Reinforcement Learning with Human Strategies
Deep learning has enabled traditional reinforcement learning methods to ...
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04/05/2018
A Human Mixed Strategy Approach to Deep Reinforcement Learning
In 2015, Google's DeepMind announced an advancement in creating an auton...
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03/06/2018
A Review of Situation Awareness Assessment Approaches in Aviation Environments
Situation awareness (SA) is an important constituent in human informatio...
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09/19/2016