Raneem Qaddoura
Orcid: 0000-0003-4093-9349
According to our database1,
Raneem Qaddoura
authored at least 26 papers
between 2020 and 2024.
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Bibliography
2024
Evolving random weight neural networks based on oversampled-segmented examples for IoT intrusion detection.
J. Supercomput., July, 2024
Towards optimal tuned machine learning techniques based vehicular traffic prediction for real roads scenarios.
Ad Hoc Networks, 2024
2023
A new approach for solving global optimization and engineering problems based on modified sea horse optimizer.
J. Comput. Des. Eng., December, 2023
J. Ambient Intell. Humaniz. Comput., July, 2023
A multi-strategy enhanced African vultures optimization algorithm for global optimization problems.
J. Comput. Des. Eng., January, 2023
Deep neural networks in the cloud: Review, applications, challenges and research directions.
Neurocomputing, 2023
The development of a road network flood risk detection model using optimised ensemble learning.
Eng. Appl. Artif. Intell., 2023
Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023
A Metaheuristic Approach for Life Expectancy Prediction based on Automatically Fine-tuned Models with Feature Selection.
Proceedings of the IEEE International Conference on Artificial Intelligence, 2023
2022
Sentiment Analysis of Customers' Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution.
IEEE Access, 2022
Machine Learning Based Prediction with Parameters Tuning of Multi-Label Real Road Vehicles Characteristics.
Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, 2022
EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022
2021
An Intelligent Hybrid Sentiment Analyzer for Personal Protective Medical Equipments Based on Word Embedding Technique: The COVID-19 Era.
Symmetry, 2021
SN Comput. Sci., 2021
A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning.
Sensors, 2021
Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach.
Sensors, 2021
Intelligent detection of hate speech in Arabic social network: A machine learning approach.
J. Inf. Sci., 2021
An efficient evolutionary algorithm with a nearest neighbor search technique for clustering analysis.
J. Ambient Intell. Humaniz. Comput., 2021
A Predictive Text System for Medical Recommendations in Telemedicine: A Deep Learning Approach in the Arabic Context.
IEEE Access, 2021
Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data.
IEEE Access, 2021
Proceedings of the Q2SWinet 2021: Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2021
Predicting Different Types of Imbalanced Intrusion Activities Based on a Multi-Stage Deep Learning Approach.
Proceedings of the International Conference on Information Technology, 2021
2020
Dental radiography segmentation using expectation-maximization clustering and grasshopper optimizer.
Multim. Tools Appl., 2020
An efficient clustering algorithm based on the <i>k</i>-nearest neighbors with an indexing ratio.
Int. J. Mach. Learn. Cybern., 2020
Empirical Evaluation of Distance Measures for Nearest Point with Indexing Ratio Clustering Algorithm.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020