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An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis

IEEE transaction on neural networks and learning systems, 2021-04, Vol.32 (4), p.1408-1417

2021

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A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Information fusion, 2021-12, Vol.76, p.243-297

2021

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Industry 5.0—A Human-Centric Solution

Sustainability (Basel, Switzerland), 2019-08, Vol.11 (16), p.4371

Nahavandi, Saeid

2019

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Validation of Polar OH1 optical heart rate sensor for moderate and high intensity physical activities

PloS one, 2019-05, Vol.14 (5), p.e0217288-e0217288

2019

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Review and performance evaluation of path tracking controllers of autonomous vehicles

IET intelligent transport systems, 2021-05, Vol.15 (5), p.646-670

2021

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Objective evaluation of deep uncertainty predictions for COVID-19 detection

Scientific reports, 2022-01, Vol.12 (1), p.815-815, Article 815

2022

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Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

Scientific reports, 2021-07, Vol.11 (1), p.15343-15343, Article 15343

2021

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Construction of Optimal Prediction Intervals for Load Forecasting Problems

IEEE transactions on power systems, 2010-08, Vol.25 (3), p.1496-1503

2010

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Measuring vection: a review and critical evaluation of different methods for quantifying illusory self-motion

Behavior research methods, 2024-03, Vol.56 (3), p.2292-2310

2024

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Deep imitation learning for autonomous vehicles based on convolutional neural networks

IEEE/CAA journal of automatica sinica, 2020-01, Vol.7 (1), p.82-95

2020

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System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey

IEEE access, 2017-01, Vol.5, p.27091-27102

2017

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Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

IEEE access, 2018-01, Vol.6, p.36218-36234

2018

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A new PSO-based approach to fire flame detection using K-Medoids clustering

Expert systems with applications, 2017-02, Vol.68, p.69-80

2017

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Microfluidic platforms for biomarker analysis

Lab on a chip, 2014-05, Vol.14 (9), p.1496-1514

2014

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Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments

Neurocomputing (Amsterdam), 2020-04, Vol.386, p.317-324

2020

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Human Identification From ECG Signals Via Sparse Representation of Local Segments

IEEE signal processing letters, 2013-10, Vol.20 (10), p.937-940

2013

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Volltext

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

Computers in biology and medicine, 2021-09, Vol.136, p.104697-104697, Article 104697

2021

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A Review on Ocular Biomechanic Models for Assessing Visual Fatigue in Virtual Reality

IEEE access, 2018-01, Vol.6, p.19345-19361

2018

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Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks

Sensors (Basel, Switzerland), 2018-06, Vol.18 (6), p.1913

2018

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Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification

PloS one, 2015-03, Vol.10 (3), p.e0120364-e0120364

2015

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Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks

AI 2018: Advances in Artificial Intelligence, p.284-295

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Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

Frontiers in neuroinformatics, 2021-11, Vol.15, p.777977-777977

2021

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A Prioritized objective actor-critic method for deep reinforcement learning

Neural computing & applications, 2021-08, Vol.33 (16), p.10335-10349

2021

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Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

Results in physics, 2021-08, Vol.27, p.104495-104495, Article 104495

2021

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Model Predictive Control With Learned Vehicle Dynamics for Autonomous Vehicle Path Tracking

IEEE access, 2021, Vol.9, p.128233-128249

2021

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An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Industry 5.0—A Human-Centric Solution

Validation of Polar OH1 optical heart rate sensor for moderate and high intensity physical activities

Review and performance evaluation of path tracking controllers of autonomous vehicles

Objective evaluation of deep uncertainty predictions for COVID-19 detection

Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

Construction of Optimal Prediction Intervals for Load Forecasting Problems

Measuring vection: a review and critical evaluation of different methods for quantifying illusory self-motion

Deep imitation learning for autonomous vehicles based on convolutional neural networks

System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey

Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

A new PSO-based approach to fire flame detection using K-Medoids clustering

Microfluidic platforms for biomarker analysis

Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments

Human Identification From ECG Signals Via Sparse Representation of Local Segments

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

A Review on Ocular Biomechanic Models for Assessing Visual Fatigue in Virtual Reality

Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks

Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification

Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

A Prioritized objective actor-critic method for deep reinforcement learning

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

Model Predictive Control With Learned Vehicle Dynamics for Autonomous Vehicle Path Tracking

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