Shaker H. Ali El-Sappagh
Orcid: 0000-0001-9705-1477
According to our database1,
Shaker H. Ali El-Sappagh
authored at least 68 papers
between 2011 and 2023.
Collaborative distances:
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Bibliography
2023
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence.
Inf. Fusion, November, 2023
Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges.
Artif. Intell. Rev., October, 2023
Enhanced aerial vehicle system techniques for detection and tracking in fog, sandstorm, and snow conditions.
J. Supercomput., September, 2023
An Efficient Artificial Rabbits Optimization Based on Mutation Strategy For Skin Cancer Prediction.
Comput. Biol. Medicine, September, 2023
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease.
Comput. Methods Programs Biomed., June, 2023
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data.
Inf. Fusion, April, 2023
Early Detection of Alzheimer's Disease Based on Laplacian Re-Decomposition and XGBoosting.
Comput. Syst. Sci. Eng., 2023
Vision Transformer Model for Predicting the Severity of Diabetic Retinopathy in Fundus Photography-Based Retina Images.
IEEE Access, 2023
Explainable Artificial Intelligence of Multi-Level Stacking Ensemble for Detection of Alzheimer's Disease Based on Particle Swarm Optimization and the Sub-Scores of Cognitive Biomarkers.
IEEE Access, 2023
A Clinical Decision Support System for Edge/Cloud ICU Readmission Model Based on Particle Swarm Optimization, Ensemble Machine Learning, and Explainable Artificial Intelligence.
IEEE Access, 2023
IEEE Access, 2023
LSTM deep learning model for Alzheimer's disease prediction based on cost-effective time series cognitive scores.
Proceedings of the 5th Novel Intelligent and Leading Emerging Sciences Conference, 2023
Latin Square and Artificial Intelligence Cryptography for Blockchain and Centralized Systems.
Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics, 2023
2022
Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data.
IEEE J. Biomed. Health Informatics, 2022
Colon Cancer Diagnosis Based on Machine Learning and Deep Learning: Modalities and Analysis Techniques.
Sensors, 2022
An Efficient 5G Data Plan Approach Based on Partially Distributed Mobility Architecture.
Sensors, 2022
Sensors, 2022
Two-stage deep learning model for Alzheimer's disease detection and prediction of the mild cognitive impairment time.
Neural Comput. Appl., 2022
Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning.
Neural Comput. Appl., 2022
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients.
J. Biomed. Informatics, 2022
Automatic detection of Alzheimer's disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers.
Neurocomputing, 2022
Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease.
Frontiers Comput. Neurosci., 2022
Robust deep learning early alarm prediction model based on the behavioural smell for android malware.
Comput. Secur., 2022
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data.
Comput. Biol. Medicine, 2022
IEEE Access, 2022
2021
Kinship verification and recognition based on handcrafted and deep learning feature-based techniques.
PeerJ Comput. Sci., 2021
Genetic variations analysis for complex brain disease diagnosis using machine learning techniques: opportunities and hurdles.
PeerJ Comput. Sci., 2021
Knowl. Based Syst., 2021
Alzheimer's disease progression detection model based on an early fusion of cost-effective multimodal data.
Future Gener. Comput. Syst., 2021
An intelligent healthcare monitoring framework using wearable sensors and social networking data.
Future Gener. Comput. Syst., 2021
A Multi-Perspective malware detection approach through behavioral fusion of API call sequence.
Comput. Secur., 2021
The Role of Medication Data to Enhance the Prediction of Alzheimer's Progression Using Machine Learning.
Comput. Intell. Neurosci., 2021
A Comprehensive Fuzzy Ontology-Based Decision Support System for Alzheimer's Disease Diagnosis.
IEEE Access, 2021
Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions.
IEEE Access, 2021
2020
Quality of Service Provisioning for Heterogeneous Services in Cognitive Radio-Enabled Internet of Things.
IEEE Trans. Netw. Sci. Eng., 2020
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion.
Inf. Fusion, 2020
A Proposed Frequent Itemset Discovery Algorithm Based on Item Weights and Uncertainty.
Int. J. Sociotechnology Knowl. Dev., 2020
Multimodal multitask deep learning model for Alzheimer's disease progression detection based on time series data.
Neurocomputing, 2020
Int. J. Medical Eng. Informatics, 2020
A semantic interoperability framework for distributed electronic health record based on fuzzy ontology.
Int. J. Medical Eng. Informatics, 2020
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends.
CoRR, 2020
IEEE Access, 2020
Advancing Modern Healthcare With Nanotechnology, Nanobiosensors, and Internet of Nano Things: Taxonomies, Applications, Architecture, and Challenges.
IEEE Access, 2020
Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives.
IEEE Access, 2020
Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model.
IEEE Access, 2020
Alzheimer Disease Prediction Model Based on Decision Fusion of CNN-BiLSTM Deep Neural Networks.
Proceedings of the Intelligent Systems and Applications, 2020
2019
J. Supercomput., 2019
Fuzzy Ontology and LSTM-Based Text Mining: A Transportation Network Monitoring System for Assisting Travel.
Sensors, 2019
A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.
BMC Medical Informatics Decis. Mak., 2019
Transportation sentiment analysis using word embedding and ontology-based topic modeling.
Knowl. Based Syst., 2019
Mobile Health Technologies for Diabetes Mellitus: Current State and Future Challenges.
IEEE Access, 2019
2018
BMC Medical Informatics Decis. Mak., 2018
J. Biomed. Semant., 2018
Clinical Decision Support System for Liver Fibrosis Prediction in Hepatitis Patients: A Case Comparison of Two Soft Computing Techniques.
IEEE Access, 2018
An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis.
IEEE Access, 2018
Feature-based Transportation Sentiment Analysis Using Fuzzy Ontology and SentiWordNet.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2018
2017
Merged Ontology and SVM-Based Information Extraction and Recommendation System for Social Robots.
IEEE Access, 2017
2016
J. King Saud Univ. Comput. Inf. Sci., 2016
Int. J. Decis. Support Syst. Technol., 2016
2015
Int. J. Medical Eng. Informatics, 2015
A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.
Artif. Intell. Medicine, 2015
2014
J. Medical Syst., 2014
J. King Saud Univ. Comput. Inf. Sci., 2014
Proceedings of the Advanced Machine Learning Technologies and Applications, 2014
2012
EMD: entity mapping diagram for automated extraction, transformation, and loading processes in data warehousing.
Int. J. Intell. Inf. Database Syst., 2012
2011
J. King Saud Univ. Comput. Inf. Sci., 2011