Ala' M. Al-Zoubi
Orcid: 0000-0003-0414-3570
According to our database1,
Ala' M. Al-Zoubi
authored at least 30 papers
between 2017 and 2023.
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Bibliography
2023
Deep neural networks in the cloud: Review, applications, challenges and research directions.
Neurocomputing, 2023
A Multilingual Spam Reviews Detection Based on Pre-Trained Word Embedding and Weighted Swarm Support Vector Machines.
IEEE Access, 2023
2022
Expert Syst. Appl., 2022
An efficient malware detection approach with feature weighting based on Harris Hawks optimization.
Clust. Comput., 2022
Sentiment Analysis of Customers' Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution.
IEEE Access, 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
Symmetry, 2021
Correction to: Evolutionary competitive swarm exploring optimal support vector machines and feature weighting.
Soft Comput., 2021
Evolutionary competitive swarm exploring optimal support vector machines and feature weighting.
Soft Comput., 2021
A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning.
Sensors, 2021
A Real-Time Electrical Load Forecasting in Jordan Using an Enhanced Evolutionary Feedforward Neural Network.
Sensors, 2021
AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents.
Neural Comput. Appl., 2021
Spam profiles detection on social networks using computational intelligence methods: The effect of the lingual context.
J. Inf. Sci., 2021
Android botnet detection using machine learning models based on a comprehensive static analysis approach.
J. Inf. Secur. Appl., 2021
A Robust Multi-Objective Feature Selection Model Based on Local Neighborhood Multi-Verse Optimization.
IEEE Access, 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
Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market.
Prog. Artif. Intell., 2020
An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter.
Knowl. Based Syst., 2020
Time-varying hierarchical chains of salps with random weight networks for feature selection.
Expert Syst. Appl., 2020
Sentiment Analysis for e-Payment Service Providers Using Evolutionary eXtreme Gradient Boosting.
IEEE Access, 2020
2019
An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks.
Inf. Fusion, 2019
Expert Syst. Appl., 2019
2018
A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture.
Neural Comput. Appl., 2018
Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems.
Knowl. Based Syst., 2018
An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems.
Knowl. Based Syst., 2018
Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts.
Knowl. Based Syst., 2018
Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm.
Cogn. Comput., 2018
Identifying <i>β</i>-thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine.
Artif. Intell. Medicine, 2018
2017