Roohallah Alizadehsani
Orcid: 0000-0003-0898-5054
According to our database1,
Roohallah Alizadehsani
authored at least 91 papers
between 2012 and 2024.
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Bibliography
2024
Designing a Secure Mechanism for Image Transferring System Based on Uncertain Fractional Order Chaotic Systems and NLFPID Sliding Mode Controller.
Axioms, September, 2024
Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights.
Expert Syst. Appl., March, 2024
An adaptive ensemble deep learning framework for reliable detection of pandemic patients.
Comput. Biol. Medicine, January, 2024
CoRR, 2024
CoRR, 2024
Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey.
IEEE Access, 2024
2023
Soc. Netw. Anal. Min., December, 2023
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis.
Neural Comput. Appl., October, 2023
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review.
Comput. Biol. Medicine, June, 2023
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review.
Inf. Fusion, May, 2023
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease.
Comput. Biol. Medicine, May, 2023
Oper. Res. Forum, March, 2023
Novel Frequency-Based Approach to Analyze the Stability of Polynomial Fractional Differential Equations.
Axioms, February, 2023
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis.
CoRR, 2023
Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework.
CoRR, 2023
Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade.
CoRR, 2023
Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey.
CoRR, 2023
AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach.
CoRR, 2023
Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023
Proceedings of the Dynamics of Information Systems - 6th International Conference, 2023
2022
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works.
WIREs Data Mining Knowl. Discov., 2022
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries.
Expert Syst. J. Knowl. Eng., 2022
CoRR, 2022
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence.
CoRR, 2022
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review.
CoRR, 2022
Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review.
CoRR, 2022
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model.
CoRR, 2022
Application of artificial intelligence in wearable devices: Opportunities and challenges.
Comput. Methods Programs Biomed., 2022
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works.
Comput. Biol. Medicine, 2022
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works.
Comput. Biol. Medicine, 2022
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies.
Biomed. Signal Process. Control., 2022
Robust Multi-Mode Synchronization of Chaotic Fractional Order Systems in the Presence of Disturbance, Time Delay and Uncertainty with Application in Secure Communications.
Big Data Cogn. Comput., 2022
Multi-State Synchronization of Chaotic Systems with Distributed Fractional Order Derivatives and Its Application in Secure Communications.
Big Data Cogn. Comput., 2022
Analysis and Design of Robust Controller for Polynomial Fractional Differential Systems Using Sum of Squares.
Axioms, 2022
The Synchronization of a Class of Time-Delayed Chaotic Systems Using Sliding Mode Control Based on a Fractional-Order Nonlinear PID Sliding Surface and Its Application in Secure Communication.
Axioms, 2022
2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.
ACM Trans. Multim. Comput. Commun. Appl., 2021
Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features.
Sensors, 2021
Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication.
Sensors, 2021
Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems.
Sensors, 2021
Frontiers Neuroinformatics, 2021
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals.
Expert Syst. Appl., 2021
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors.
CoRR, 2021
CoRR, 2021
GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset.
CoRR, 2021
A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis.
CoRR, 2021
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
CoRR, 2021
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods.
CoRR, 2021
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients.
CoRR, 2021
An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works.
CoRR, 2021
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.
CoRR, 2021
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review.
Comput. Biol. Medicine, 2021
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review.
Comput. Biol. Medicine, 2021
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020.
Comput. Biol. Medicine, 2021
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
Biomed. Signal Process. Control., 2021
Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method.
Big Data Cogn. Comput., 2021
Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
2020
Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties.
IEEE Trans. Cybern., 2020
Model uncertainty quantification for diagnosis of each main coronary artery stenosis.
Soft Comput., 2020
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach.
Pattern Recognit. Lett., 2020
CoRR, 2020
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020).
CoRR, 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review.
CoRR, 2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review.
CoRR, 2020
CoRR, 2020
2019
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment.
J. Medical Syst., 2019
Comput. Biol. Medicine, 2019
IEEE Access, 2019
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving.
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Proceedings of the IEEE International Conference on Industrial Technology, 2019
2018
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries.
Comput. Methods Programs Biomed., 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm.
Comput. Methods Programs Biomed., 2017
2016
Knowl. Based Syst., 2016
2014
2013
Comput. Methods Programs Biomed., 2013
2012
Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis.
Int. J. Knowl. Discov. Bioinform., 2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012