Hossam Faris
Orcid: 0000-0003-4261-8127
According to our database1,
Hossam Faris
authored at least 124 papers
between 2011 and 2024.
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Bibliography
2024
Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution.
CoRR, 2024
2023
A Multilingual Spam Reviews Detection Based on Pre-Trained Word Embedding and Weighted Swarm Support Vector Machines.
IEEE Access, 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
EvoImputer: An evolutionary approach for Missing Data Imputation and feature selection in the context of supervised learning.
Knowl. Based Syst., 2022
J. King Saud Univ. Comput. Inf. Sci., 2022
Classification of Arabic healthcare questions based on word embeddings learned from massive consultations: a deep learning approach.
J. Ambient Intell. Humaniz. Comput., 2022
Expert Syst. Appl., 2022
Educ. Inf. Technol., 2022
Offensive Language Detection in Arabic Social Networks Using Evolutionary-Based Classifiers Learned From Fine-Tuned Embeddings.
IEEE Access, 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
Prediction of Hysteresis Loop of Barium Hexaferrite Nanoparticles Based on Neuroevolutionary Models.
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
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
AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents.
Neural Comput. Appl., 2021
Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients.
Knowl. Based Syst., 2021
Intelligent detection of hate speech in Arabic social network: A machine learning approach.
J. Inf. Sci., 2021
Spam profiles detection on social networks using computational intelligence methods: The effect of the lingual context.
J. Inf. Sci., 2021
A cooperative coevolutionary method for optimizing random weight networks and its application for medical classification problems.
J. Ambient Intell. Humaniz. Comput., 2021
An efficient evolutionary algorithm with a nearest neighbor search technique for clustering analysis.
J. Ambient Intell. Humaniz. Comput., 2021
Android botnet detection using machine learning models based on a comprehensive static analysis approach.
J. Inf. Secur. Appl., 2021
An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir.
Inf. Sci., 2021
A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures.
Expert Syst. Appl., 2021
Data Min. Knowl. Discov., 2021
Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems.
IEEE Access, 2021
A Predictive Text System for Medical Recommendations in Telemedicine: A Deep Learning Approach in the Arabic Context.
IEEE Access, 2021
AltibbiVec: A Word Embedding Model for Medical and Health Applications in the Arabic Language.
IEEE Access, 2021
Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region.
IEEE Access, 2021
Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data.
IEEE Access, 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
Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market.
Prog. Artif. Intell., 2020
An enhanced associative learning-based exploratory whale optimizer for global optimization.
Neural Comput. Appl., 2020
Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification.
Neural Comput. Appl., 2020
An efficient clustering algorithm based on the <i>k</i>-nearest neighbors with an indexing ratio.
Int. J. Mach. Learn. Cybern., 2020
A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems.
Int. J. Mach. Learn. Cybern., 2020
An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter.
Knowl. Based Syst., 2020
Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach.
Knowl. Inf. Syst., 2020
Medical speciality classification system based on binary particle swarms and ensemble of one <i>vs.</i> rest support vector machines.
J. Biomed. Informatics, 2020
Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection.
J. Ambient Intell. Humaniz. Comput., 2020
Augmented whale feature selection for IoT attacks: Structure, analysis and applications.
Future Gener. Comput. Syst., 2020
Time-varying hierarchical chains of salps with random weight networks for feature selection.
Expert Syst. Appl., 2020
A modified bond energy algorithm with fuzzy merging and its application to Arabic text document clustering.
Expert Syst. Appl., 2020
An evolutionary optimized artificial intelligence model for modeling scouring depth of submerged weir.
Eng. Appl. Artif. Intell., 2020
CoRR, 2020
Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application.
Complex., 2020
Cogn. Comput., 2020
Comput. Ind. Eng., 2020
Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage.
Comput. Biol. Chem., 2020
MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems.
Appl. Soft Comput., 2020
Sentiment Analysis for e-Payment Service Providers Using Evolutionary eXtreme Gradient Boosting.
IEEE Access, 2020
Proceedings of the 12th International Joint Conference on Computational Intelligence, 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
Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020
An Intelligent Approach for the Effect of Social Media on Undergraduate Students Performance: A Case Study in the University of Jordan.
Proceedings of the ICCTA 2020: 6th International Conference on Computer and Technology Applications, 2020
EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
2019
Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction.
Proceedings of the Nature-Inspired Optimizers, 2019
Grey Wolf Optimizer: Theory, Literature Review, and Application in Computational Fluid Dynamics Problems.
Proceedings of the Nature-Inspired Optimizers, 2019
Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection.
Proceedings of the Nature-Inspired Optimizers, 2019
Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks.
Proceedings of the Nature-Inspired Optimizers, 2019
Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines.
Proceedings of the Nature-Inspired Optimizers, 2019
Multi-verse Optimizer: Theory, Literature Review, and Application in Data Clustering.
Proceedings of the Nature-Inspired Optimizers, 2019
An efficient hybrid multilayer perceptron neural network with grasshopper optimization.
Soft Comput., 2019
Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme.
Int. J. Mach. Learn. Cybern., 2019
Metaheuristic-based extreme learning machines: a review of design formulations and applications.
Int. J. Mach. Learn. Cybern., 2019
Binary multi-verse optimization algorithm for global optimization and discrete problems.
Int. J. Mach. Learn. Cybern., 2019
An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks.
Inf. Fusion, 2019
Int. J. Comput. Sci. Eng., 2019
Future Gener. Comput. Syst., 2019
Expert Syst. Appl., 2019
Evolving neural networks using bird swarm algorithm for data classification and regression applications.
Clust. Comput., 2019
A binary multi-verse optimizer for 0-1 multidimensional knapsack problems with application in interactive multimedia systems.
Comput. Ind. Eng., 2019
Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019
2018
Optimizing connection weights in neural networks using the whale optimization algorithm.
Soft Comput., 2018
A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture.
Neural Comput. Appl., 2018
Neural Comput. Appl., 2018
Neural Comput. Appl., 2018
Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems.
Knowl. Based Syst., 2018
Binary dragonfly optimization for feature selection using time-varying transfer functions.
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
J. Inf. Sci., 2018
An Improved Genetic Algorithm with a New Initialization Mechanism Based on Regression Techniques.
Inf., 2018
A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors.
Inf., 2018
Neurocomputing, 2018
Int. J. Gaming Comput. Mediat. Simulations, 2018
Improving Extreme Learning Machine by Competitive Swarm Optimization and its application for medical diagnosis problems.
Expert Syst. Appl., 2018
Evolutionary static and dynamic clustering algorithms based on multi-verse optimizer.
Eng. Appl. Artif. Intell., 2018
CoRR, 2018
Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm.
Cogn. Comput., 2018
Appl. Soft Comput., 2018
Identifying <i>β</i>-thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine.
Artif. Intell. Medicine, 2018
Appl. Intell., 2018
Improved monarch butterfly optimization for unconstrained global search and neural network training.
Appl. Intell., 2018
The Influence of Input Data Standardization Methods on the Prediction Accuracy of Genetic Programming Generated Classifiers.
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018
Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Bidirectional reservoir networks trained using SVM + privileged information for manufacturing process modeling.
Soft Comput., 2017
Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment.
Knowl. Based Syst., 2017
Adv. Eng. Softw., 2017
Empirical Evaluation of the Cycle Reservoir with Regular Jumps for Time Series Forecasting: A Comparison Study.
Proceedings of the Artificial Intelligence Trends in Intelligent Systems, 2017
Proceedings of the Software Engineering Trends and Techniques in Intelligent Systems, 2017
2016
A comparison between parametric and non-parametric soft computing approaches to model the temperature of a metal cutting tool.
Int. J. Comput. Integr. Manuf., 2016
Optimizing the Learning Process of Feedforward Neural Networks Using Lightning Search Algorithm.
Int. J. Artif. Intell. Tools, 2016
Training feedforward neural networks using multi-verse optimizer for binary classification problems.
Appl. Intell., 2016
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016
A Hybrid Approach Based on Particle Swarm Optimization and Random Forests for E-Mail Spam Filtering.
Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016
Proceedings of the Cybersecurity and Cyberforensics Conference, 2016
Credit Risk Evaluation Using Cycle Reservoir Neural Networks with Support Vector Machines Readout.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016
2014
Improving production quality of a hot-rolling industrial process via genetic programming model.
Int. J. Comput. Appl. Technol., 2014
A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2014
2013
Int. J. Comput. Integr. Manuf., 2013
2012
Int. J. Emerg. Technol. Learn., 2012
2011
Framework and Implementation of a Knowledge Management System for Aerospace Collaborative Working Environments.
Proceedings of the 12th IEEE International Conference on Mobile Data Management, 2011