Hossam Faris
Categoría
Colaborador InternacionalContacto
hossam.faris@ju.edu.QLi6HVjo
Organismo
UGR
Researcher Profile
| Total | Desde 2019: | |
|---|---|---|
| Citas | Total: 24496 | Desde 2019: 23448 |
| Índice H | Total: 65 | Desde 2019: 62 |
| Índice i10 | Total: 159 | Desde 2019: 152 |
Publicaciones (219)
| Título | Autores | Año |
|---|---|---|
| An automatic prediction of students’ performance to support the university education system: a deep learning approach | Y Alshamaila, H Alsawalqah, I Aljarah, M Habib, H Faris, M Alshraideh, .... | 2024 |
| An intelligent rule-oriented framework for extracting key factors for grants scholarships in higher education | Y Alshamaila, H Alsawalqah, M Habib, N Al-Madi, H Faris, M Alshraideh, .... | 2024 |
| Evolving Genetic Programming Tree Models for Predicting the Mechanical Properties of Green Fibers for Better Biocomposite Materials | FM AL-Oqla, H Faris, M Habib, PA Castillo-Valdivieso. | 2024 |
| Evolving random weight neural networks based on oversampled-segmented examples for IoT intrusion detection | R Qaddoura, H Faris. | 2024 |
| Prediction of sentiment polarity in restaurant reviews using an ordinal regression approach based on evolutionary XGBoost | DA Al-Qudah, AM Al-Zoubi, AI Cristea, JJ Merelo-Guervós, PA Castillo, .... | 2024 |
| Optimizing Steering Angle Prediction in Self-Driving Vehicles Using Evolutionary Convolutional Neural Networks | B Khawaldeh, AM Mora, H Faris. | 2024 |
| Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification | MM Biltawi, R Qaddoura, H Faris. | 2023 |
| Cluster-based ensemble learning model for improving sentiment classification of Arabic documents | RH Al Mahmoud, BH Hammo, H Faris. | 2023 |
| A Multilingual Spam Reviews Detection based on pre-trained Word Embedding and Weighted Swarm Support Vector Machines | AZ Ala’M, AM Mora, H Faris. | 2023 |
| A Metaheuristic Approach for Life Expectancy Prediction based on Automatically Fine-tuned Models with Feature Selection | R Qaddoura, MM Biltawi, H Faris. | 2023 |
| Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution | A Alomari, H Faris, PA Castillo. | 2023 |
| A Multiclass Classification Approach for IoT Intrusion Detection Based on Feature Selection and Oversampling | Z Amierh, L Hammad, R Qaddoura, H Al-Omari, H Faris. | 2023 |
| Evolving Genetic Programming Tree Models for Predicting the Mechanical Properties of Green Fibers | FM AL-Oqla, H Faris, M Habib, PA Castillo. | 2023 |
| Empirical Study of Filtered-Based Feature Selection Methods for Arabic Text Classification | F Shannaq, M Habib, H Faris, MM Hammad. | 2023 |
| EvoImputer: An evolutionary approach for Missing Data Imputation and feature selection in the context of supervised learning | S Awawdeh, H Faris, H Hiary. | 2022 |
| Evolutionary inspired approach for mental stress detection using EEG signal | LD Sharma, VK Bohat, M Habib, AZ Ala’M, H Faris, I Aljarah. | 2022 |
| Sentiment Analysis of Customers’ Reviews Using a Hybrid Evolutionary SVM based Approach in an Imbalanced Data Distribution | R Obiedat, R Qaddoura, AZ Ala’M, L Al-Qaisi, O Harfoushi, M Alrefai, .... | 2022 |
| Sentiment Analysis of Customers’ Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution | R Obiedat, R Qaddoura, AZ Ala’M, L Al-Qaisi, O Harfoushi, M Alrefai, .... | 2022 |
| Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis | AM Al-Zoubi, AM Mora, H Faris. | 2022 |
| EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python | AT Dang, R Qaddoura, PA Castillo. | 2022 |
| The design, construction and evaluation of annotated Arabic cyberbullying corpus | F Shannag, BH Hammo, H Faris. | 2022 |
| Automatic Symptoms Identification from a Massive Volume of Unstructured Medical Consultations Using Deep Neural and BERT models | H Faris, M Faris, M Habib, A Alomari. | 2022 |
| Cost-Sensitive Metaheuristic Optimization-Based Neural Network with Ensemble Learning for Financial Distress Prediction | SAD Safi, PA Castillo, H Faris. | 2022 |
| Offensive Language Detection in Arabic Social Networks Using Evolutionary-Based Classifiers Learned From Fine-Tuned Embeddings | F Shannaq, B Hammo, H Faris, PA Castillo-Valdivieso. | 2022 |
| Edge deep learning and computer vision-based physical distance and face mask detection system using Jetson Xavior NX | A Aljaafreh, A Abadleh, SS Alja’Afreh, K Alawasa, E Almajali, H Faris. | 2022 |
| in Python | AT Dang¹, R Qaddoura, AZ Ala'M, H Faris, PA Castillo. | 2022 |
| A Robust Multi-Objective Feature Selection Model Based on Local Neighborhood Multi-Verse Optimization | I Aljarah, H Faris, AA Heidari, MM Mafarja, AZ Ala’M, PA Castillo, .... | 2021 |
| EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework | R Qaddoura, H Faris, I Aljarah, PA Castillo. | 2021 |
| Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems | T Thaher, M Mafarja, H Turabieh, PA Castillo, H Faris, I Aljarah. | 2021 |
| Classification of Arabic healthcare questions based on word embeddings learned from massive consultations: a deep learning approach | H Faris, M Habib, M Faris, A Alomari, PA Castillo, M Alomari. | 2021 |
| A Predictive Text System for Medical Recommendations in Telemedicine: A Deep Learning Approach in the Arabic Context | M Habib, M Faris, R Qaddoura, A Alomari, H Faris. | 2021 |
| Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach | M Habib, M Faris, R Qaddoura, M Alomari, A Alomari, H Faris. | 2021 |
| An intelligent multimodal medical diagnosis system based on patients’ medical questions and structured symptoms for telemedicine | H Faris, M Habib, M Faris, H Elayan, A Alomari. | 2021 |
| AltibbiVec: A Word Embedding Model for Medical and Health Applications in the Arabic Language | M Habib, M Faris, A Alomari, H Faris. | 2021 |
| Intelligent detection of hate speech in Arabic social network: A machine learning approach | I Aljarah, M Habib, N Hijazi, H Faris, R Qaddoura, B Hammo, .... | 2021 |
| Relational learning analysis of social politics using knowledge graph embedding | B Abu-Salih, M Al-Tawil, I Aljarah, H Faris, P Wongthongtham, KY Chan, .... | 2021 |
| Spam profiles detection on social networks using computational intelligence methods: The effect of the lingual context | AM Al-Zoubi, J Alqatawna, H Faris, MA Hassonah. | 2021 |
| An efficient evolutionary algorithm with a nearest neighbor search technique for clustering analysis | R Qaddoura, H Faris, I Aljarah. | 2021 |
| A multi-stage classification approach for iot intrusion detection based on clustering with oversampling | R Qaddoura, AM Al-Zoubi, I Almomani, H Faris. | 2021 |
| Android ransomware detection based on a hybrid evolutionary approach in the context of highly imbalanced data | I Almomani, R Qaddoura, M Habib, S Alsoghyer, A Al Khayer, I Aljarah, .... | 2021 |
| Evolutionary competitive swarm exploring optimal support vector machines and feature weighting | AZ Ala’M, MA Hassonah, AA Heidari, H Faris, M Mafarja, I Aljarah. | 2021 |
| An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir | H Tao, M Habib, I Aljarah, H Faris, HA Afan, ZM Yaseen. | 2021 |
| A multi-layer classification approach for intrusion detection in iot networks based on deep learning | R Qaddoura, M Al-Zoubi, H Faris, I Almomani. | 2021 |
| A Classification Approach Based on Evolutionary Clustering and Its Application for Ransomware Detection | R Qaddoura, I Aljarah, H Faris, I Almomani. | 2021 |
| AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents | M Eshtay, H Faris, AA Heidari, AM Al-Zoubi, I Aljarah. | 2021 |
| Android botnet detection using machine learning models based on a comprehensive static analysis approach | J Alqatawna, AZ Ala’M, MA Hassonah, H Faris. | 2021 |
| Evolutionary data clustering: Algorithms and applications | I Aljarah, H Faris, S Mirjalili. | 2021 |
| A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures | NM Hijazi, H Faris, I Aljarah. | 2021 |
| A Grey Wolf-Based Clustering Algorithm for Medical Diagnosis Problems | R Qaddoura, I Aljarah, H Faris, S Mirjalili. | 2021 |
| A Comprehensive Review of Evaluation and Fitness Measures for Evolutionary Data Clustering | I Aljarah, M Habib, R Nujoom, H Faris, S Mirjalili. | 2021 |
| Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients | I Abuqaddom, BA Mahafzah, H Faris. | 2021 |
| Predicting Different Types of Imbalanced Intrusion Activities Based on a Multi-Stage Deep Learning Approach | R Qaddoura, AZ Ala’M, I Almomani, H Faris. | 2021 |
| Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region | ND Bokde, ZH Ali, MT Al-Hadidi, AA Farooque, M Jamei, AA Al Maliki, .... | 2021 |
| An Evolutionary-based Random Weight Networks with Taguchi Method for Arabic Web Pages Classification | A Shawabkeh, H Faris, I Aljarah, B Abu-Salih, D Alboaneen, N Alhindawi. | 2021 |
| Prediction of Hysteresis Loop of Barium Hexaferrite Nanoparticles Based on Neuroevolutionary Models | L Alhmoud, AR Al Dairy, H Faris, I Aljarah. | 2021 |
| Introduction to Evolutionary Data Clustering and Its Applications | I Aljarah, M Habib, H Faris, S Mirjalili. | 2021 |
| Evolutionary competitive swarm exploring optimal support vector machines and feature weighting (Jan, 10.1007/s00500-020-05439-w, 2021) | AM Al-Zoubi, MA Hassonah, AA Heidari, H Faris, M Mafarja, I Aljarah. | 2021 |
| EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python | R Qaddoura, H Faris, I Aljarah, PA Castillo. | 2020 |
| Sentiment Analysis for e-Payment Service Providers Using Evolutionary eXtreme Gradient Boosting | DA Al-Qudah, AZ Ala’M, PA Castillo-Valdivieso, H Faris. | 2020 |
| Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market | N Ghatasheh, H Faris, R Abukhurma, PA Castillo, N Al-Madi, AM Mora, .... | 2020 |
| Identifying Botnets by Analysing Twitter Traffic during the Super Bowl. | S Safi, H Jawazneh, AM Mora, P García-Sánchez, H Faris, PA Castillo. | 2020 |
| Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines | H Faris, M Habib, M Faris, M Alomari, A Alomari. | 2020 |
| Ant lion optimizer: theory, literature review, and application in multi-layer perceptron neural networks | AA Heidari, H Faris, S Mirjalili, I Aljarah, M Mafarja. | 2020 |
| Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection | A Al Shorman, H Faris, I Aljarah. | 2020 |
| Salp swarm algorithm: theory, literature review, and application in extreme learning machines | H Faris, S Mirjalili, I Aljarah, M Mafarja, AA Heidari. | 2020 |
| Genetic algorithm: Theory, literature review, and application in image reconstruction | S Mirjalili, J Song Dong, AS Sadiq, H Faris. | 2020 |
| Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach | I Aljarah, M Mafarja, AA Heidari, H Faris, S Mirjalili. | 2020 |
| Time-varying hierarchical chains of salps with random weight networks for feature selection | H Faris, AA Heidari, AZ Ala’M, M Mafarja, I Aljarah, M Eshtay, S Mirjalili. | 2020 |
| Multi-verse optimizer: theory, literature review, and application in data clustering | I Aljarah, M Mafarja, AA Heidari, H Faris, S Mirjalili. | 2020 |
| Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification | H Chantar, M Mafarja, H Alsawalqah, AA Heidari, I Aljarah, H Faris. | 2020 |
| Efficient hybrid nature-inspired binary optimizers for feature selection | M Mafarja, A Qasem, AA Heidari, I Aljarah, H Faris, S Mirjalili. | 2020 |
| Dragonfly algorithm: theory, literature review, and application in feature selection | M Mafarja, AA Heidari, H Faris, S Mirjalili, I Aljarah. | 2020 |
| River suspended sediment load prediction based on river discharge information: application of newly developed data mining models | SQ Salih, A Sharafati, K Khosravi, H Faris, O Kisi, H Tao, M Ali, .... | 2020 |
| Grey wolf optimizer: theory, literature review, and application in computational fluid dynamics problems | S Mirjalili, I Aljarah, M Mafarja, AA Heidari, H Faris. | 2020 |
| MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems | MH Nadimi-Shahraki, S Taghian, S Mirjalili, H Faris. | 2020 |
| A dynamic locality multi-objective salp swarm algorithm for feature selection | I Aljarah, M Habib, H Faris, N Al-Madi, AA Heidari, M Mafarja, .... | 2020 |
| An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter | MA Hassonah, R Al-Sayyed, A Rodan, AZ Ala’M, I Aljarah, H Faris. | 2020 |
| Salp chain-based optimization of support vector machines and feature weighting for medical diagnostic information systems | AM Al-Zoubi, AA Heidari, M Habib, H Faris, I Aljarah, MA Hassonah. | 2020 |
| An efficient clustering algorithm based on the k-nearest neighbors with an indexing ratio | R Qaddoura, H Faris, I Aljarah. | 2020 |
| Hybridized extreme learning machine model with salp swarm algorithm: a novel predictive model for hydrological application | ZM Yaseen, H Faris, N Al-Ansari. | 2020 |
| Augmented whale feature selection for IoT attacks: Structure, analysis and applications | M Mafarja, AA Heidari, M Habib, H Faris, T Thaher, I Aljarah. | 2020 |
| Multi-objective particle swarm optimization: theory, literature review, and application in feature selection for medical diagnosis | M Habib, I Aljarah, H Faris, S Mirjalili. | 2020 |
| Optimizing extreme learning machines using chains of salps for efficient Android ransomware detection | H Faris, M Habib, I Almomani, M Eshtay, I Aljarah. | 2020 |
| Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context | H Faris, IAM Habib, PA Castillo. | 2020 |
| Software defect prediction using heterogeneous ensemble classification based on segmented patterns | H Alsawalqah, N Hijazi, M Eshtay, H Faris, AA Radaideh, I Aljarah, .... | 2020 |
| Multi-objective particle swarm optimization for botnet detection in internet of things | M Habib, I Aljarah, H Faris, S Mirjalili. | 2020 |
| Business analytics in telemarketing: cost-sensitive analysis of bank campaigns using artificial neural networks | N Ghatasheh, H Faris, I AlTaharwa, Y Harb, A Harb. | 2020 |
| Nature-inspired metaheuristics search algorithms for solving the economic load dispatch problem of power system: A comparison study | A Sheta, H Faris, M Braik, S Mirjalili. | 2020 |
| Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage | H Rawashdeh, S Awawdeh, F Shannag, E Henawi, H Faris, N Obeid, .... | 2020 |
| Link prediction using evolutionary neural network models | RI Yaghi, H Faris, I Aljarah, AM Al-Zoubi, AA Heidari, S Mirjalili. | 2020 |
| A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems | M Eshtay, H Faris, N Obeid. | 2020 |
| A modified multi-objective particle swarm optimizer-based Lévy flight: An approach toward intrusion detection in Internet of Things | M Habib, I Aljarah, H Faris. | 2020 |
| Evolutionary and swarm-based feature selection for imbalanced data classification | F Namous, H Faris, AA Heidari, M Khalafat, RS Alkhawaldeh, .... | 2020 |
| Introduction to evolutionary machine learning techniques | S Mirjalili, H Faris, I Aljarah. | 2020 |
| Neuro-evolutionary models for imbalanced classification problems | I Al-Badarneh, M Habib, I Aljarah, H Faris. | 2020 |
| Empirical Evaluation of Distance Measures for Nearest Point with Indexing Ratio Clustering Algorithm | R Qaddoura, H Faris, I Aljarah, JJ Merelo, PA Castillo. | 2020 |
| An evolutionary optimized artificial intelligence model for modeling scouring depth of submerged weir | SQ Salih, M Habib, I Aljarah, H Faris, ZM Yaseen. | 2020 |
| A modified bond energy algorithm with fuzzy merging and its application to arabic text document clustering | RH AlMahmoud, B Hammo, H Faris. | 2020 |
| A cooperative coevolutionary method for optimizing random weight networks and its application for medical classification problems | EF Rawashdeh, I Aljarah, H Faris. | 2020 |
| Evolving genetic programming models for predicting quantities of adhesive wear in low and medium carbon steel | R Faris, B Almasri, H Faris, FM AL-Oqla, D Dalalah. | 2020 |
| An Intelligent Approach for the Effect of Social Media on Undergraduate Students Performance: A Case Study in the University of Jordan | Y Alshamaila, M Habib, I Aljarah, H Alsawalqah, H Faris, A AlSoud. | 2020 |
| Statistical Modeling of the Effect of Meteorological Variables on Dengue Transmission | DG Soares, A Souza, C Heck, H Faris, APG Oliveira. | 2020 |
| Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market | H Faris, R Abukhurma, W Almanaseer, M Saadeh, AM Mora, PA Castillo, .... | 2019 |
| Harris hawks optimization: Algorithm and applications | AA Heidari, S Mirjalili, H Faris, I Aljarah, M Mafarja, H Chen. | 2019 |
| Binary grasshopper optimisation algorithm approaches for feature selection problems | M Mafarja, I Aljarah, H Faris, AI Hammouri, AZ Ala’M, S Mirjalili. | 2019 |
| An intelligent system for spam detection and identification of the most relevant features based on evolutionary random weight networks | H Faris, AZ Ala’M, AA Heidari, I Aljarah, M Mafarja, MA Hassonah, .... | 2019 |
| An efficient hybrid multilayer perceptron neural network with grasshopper optimization | AA Heidari, H Faris, I Aljarah, S Mirjalili. | 2019 |
| An evolutionary gravitational search-based feature selection | M Taradeh, M Mafarja, AA Heidari, H Faris, I Aljarah, S Mirjalili, H Fujita. | 2019 |
| An enhanced associative learning-based exploratory whale optimizer for global optimization | AA Heidari, I Aljarah, H Faris, H Chen, J Luo, S Mirjalili. | 2019 |
| Optimizing software effort estimation models using firefly algorithm | N Ghatasheh, H Faris, I Aljarah, RMH Al-Sayyed. | 2019 |
| Binary multi-verse optimization algorithm for global optimization and discrete problems | N Al-Madi, H Faris, S Mirjalili. | 2019 |
| Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme | H Faris, S Mirjalili, I Aljarah. | 2019 |
| Evolutionary machine learning techniques | S Mirjalili, H Faris, I Aljarah. | 2019 |
| Adaptive β – hill climbing for optimization | MA Al-Betar, I Aljarah, MA Awadallah, H Faris, S Mirjalili. | 2019 |
| A binary multi-verse optimizer for 0-1 multidimensional knapsack problems with application in interactive multimedia systems | M Abdel-Basset, D El-Shahat, H Faris, S Mirjalili. | 2019 |
| Metaheuristic-based extreme learning machines: a review of design formulations and applications | M Eshtay, H Faris, N Obeid. | 2019 |
| Fraud detection model based on multi-verse features extraction approach for smart city applications | AS Sadiq, H Faris, AZ Ala'M, S Mirjalili, KZ Ghafoor. | 2019 |
| Evolving neural networks using bird swarm algorithm for data classification and regression applications | I Aljarah, H Faris, S Mirjalili, N Al-Madi, A Sheta, M Mafarja. | 2019 |
| Robotics Evolution: from Remote Brain to Cloud | AF Sheta, N Ghatasheh, H Faris, A Rodan. | 2019 |
| Demystifying echo state network with deterministic simple topologies | D Elsarraj, MA Qisi, A Rodan, N Obeid, A Sharieh, H Faris. | 2019 |
| Towards Automated Comprehensive Feature Engineering for Spam Detection. | FN Kiwanuka, Ja'far Alqatawna, AHM Amin, S Paul, H Faris. | 2019 |
| Multi-objective Particle Swarm Optimization: Theory, Literature Review, and Application in Feature | M Habib, I Aljarah, H Faris, S Mirjalili. | 2019 |
| Salp Chain-Based Optimization of Support Vector Machines and Feature Weighting for Medical Diagnostic | AZ Ala’M, AA Heidari, M Habib, H Faris, I Aljarah, MA Hassonah. | 2019 |
| Adaptive hill climbing for optimization | MA Al-Betar, I Aljarah, MA Awadallah, H Faris, S Mirjalili. | 2019 |
| Corrigendum to Spam Profiles Detection on Social Networks Using Computational Intelligence Methods: The Effect of The Lingual Context | AM Al-Zoubi, H Faris, JF Alqatawna. | 2019 |
| The Influence of Input Data Standardization Methods on the Prediction Accuracy of Genetic Programming Generated Classifiers. | AR Al Shorman, H Faris, PA Castillo, JJM Guervós, N Al-Madi. | 2018 |
| Empirical evaluation of advanced oversampling methods for improving bankruptcy prediction | W Alswiti, H Faris, H Aljawazneh, S Safi, P Castillo, A Mora, R Abukhurma, .... | 2018 |
| Optimizing connection weights in neural networks using the whale optimization algorithm | I Aljarah, H Faris, S Mirjalili. | 2018 |
| An efficient binary salp swarm algorithm with crossover scheme for feature selection problems | H Faris, MM Mafarja, AA Heidari, I Aljarah, AZ Ala’M, S Mirjalili, H Fujita. | 2018 |
| Grey wolf optimizer: a review of recent variants and applications | H Faris, I Aljarah, MA Al-Betar, S Mirjalili. | 2018 |
| Grasshopper optimization algorithm for multi-objective optimization problems | SZ Mirjalili, S Mirjalili, S Saremi, H Faris, I Aljarah. | 2018 |
| Evolutionary population dynamics and grasshopper optimization approaches for feature selection problems | M Mafarja, I Aljarah, AA Heidari, AI Hammouri, H Faris, AZ Ala’M, .... | 2018 |
| Binary dragonfly optimization for feature selection using time-varying transfer functions | M Mafarja, I Aljarah, AA Heidari, H Faris, P Fournier-Viger, X Li, S Mirjalili. | 2018 |
| Simultaneous feature selection and support vector machine optimization using the grasshopper optimization algorithm | I Aljarah, AM Al-Zoubi, H Faris, MA Hassonah, S Mirjalili, H Saadeh. | 2018 |
| Asynchronous accelerating multi-leader salp chains for feature selection | I Aljarah, M Mafarja, AA Heidari, H Faris, Y Zhang, S Mirjalili. | 2018 |
| Training radial basis function networks using biogeography-based optimizer | I Aljarah, H Faris, S Mirjalili, N Al-Madi. | 2018 |
| Evolving support vector machines using whale optimization algorithm for spam profiles detection on online social networks in different lingual contexts | AZ Ala’M, H Faris, J Alqatawna, MA Hassonah. | 2018 |
| Bat-inspired algorithms with natural selection mechanisms for global optimization | MA Al-Betar, MA Awadallah, H Faris, XS Yang, AT Khader, OA Alomari. | 2018 |
| Improving extreme learning machine by competitive swarm optimization and its application for medical diagnosis problems | M Eshtay, H Faris, N Obeid. | 2018 |
| Natural selection methods for grey wolf optimizer | MA Al-Betar, MA Awadallah, H Faris, I Aljarah, AI Hammouri. | 2018 |
| Feature selection using salp swarm algorithm with chaos | S Ahmed, M Mafarja, H Faris, I Aljarah. | 2018 |
| Feature engineering for detecting spammers on Twitter: Modelling and analysis | W Herzallah, H Faris, O Adwan. | 2018 |
| Evolutionary static and dynamic clustering algorithms based on multi-verse optimizer | S Shukri, H Faris, I Aljarah, S Mirjalili, A Abraham. | 2018 |
| Identifying β-thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine | AS AlAgha, H Faris, BH Hammo, AZ Ala’M. | 2018 |
| An improved genetic algorithm with a new initialization mechanism based on regression techniques | AB Hassanat, VB Prasath, MA Abbadi, SA Abu-Qdari, H Faris. | 2018 |
| Cycle reservoir with regular jumps for forecasting ozone concentrations: two real cases from the east of Croatia | A Sheta, H Faris, A Rodan, E Kovač-Andrić, AM Al-Zoubi. | 2018 |
| A hybrid swarm intelligent neural network model for customer churn prediction and identifying the influencing factors | H Faris. | 2018 |
| Sentiment analysis for Arabic language: A brief survey of approaches and techniques | M Alrefai, H Faris, I Aljarah. | 2018 |
| Automatic email spam detection using genetic programming with SMOTE | M Habib, H Faris, MA Hassonah, J Alqatawna, AF Sheta, AZ Ala'M. | 2018 |
| Cost-sensitive genetic programming for churn prediction and identification of the influencing factors in telecommunication market | N Al-Madi, H Faris, R Abukhurma. | 2018 |
| Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir | A Rodan, PA Castillo, H Faris, AM Al-Zoubi, AM Mora, H Jawazneh. | 2018 |
| On Computerizing the Ancient Game of Ṭāb | AB Hassanat, G Altarawneh, AS Tarawneh, H Faris, MB Alhasanat, .... | 2018 |
| Estimating ARMA model parameters of an industrial process using meta-heuristic search algorithms | AF Sheta, H Faris, I Aljarah. | 2018 |
| Cycle reservoir with regular jumps for forecasting ozone concentrations: Two real cases from the east of Croatia: CRJ for forecasting ozone concentrations | A Sheta, H Faris, A Rodan, E Kovač-Andrić, AM Al-Zoubi. | 2018 |
| Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment | PA Castillo, AM Mora, H Faris, JJ Merelo, P García-Sánchez, .... | 2017 |
| Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems | S Mirjalili, AH Gandomi, SZ Mirjalili, S Saremi, H Faris, SM Mirjalili. | 2017 |
| A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture | H Faris, MA Hassonah, AZ Ala’M, S Mirjalili, I Aljarah. | 2017 |
| Improved monarch butterfly optimization for unconstrained global search and neural network training | H Faris, I Aljarah, S Mirjalili. | 2017 |
| Spam profile detection in social networks based on public features | AZ Ala'M, H Faris. | 2017 |
| Evolving radial basis function networks using moth–flame optimizer | H Faris, I Aljarah, S Mirjalili. | 2017 |
| Hybrid SMOTE-ensemble approach for software defect prediction | H Alsawalqah, H Faris, I Aljarah, L Alnemer, N Alhindawi. | 2017 |
| Bidirectional reservoir networks trained using SVM + privileged information for manufacturing process modeling | A Rodan, AF Sheta, H Faris. | 2017 |
| Improving email spam detection using content based feature engineering approach | H Faris, J Alqatawna, AZ Ala'M, I Aljarah. | 2017 |
| Toward a detection framework for android botnet | J Alqatawna, H Faris. | 2017 |
| Empirical evaluation of the cycle reservoir with regular jumps for time series forecasting: a comparison study | MH Qasem, H Faris, A Rodan, A Sheta. | 2017 |
| Emfet: E-mail features extraction tool | W Hijawi, H Faris, J Alqatawna, I Aljarah, AM Al-Zoubi, M Habib. | 2017 |
| A Proposed Index for Evaluating Component Commonality for Software Product Family | H Alsawalqah, B Al-Shboul, Y Alshamaileh, H Faris, I Aljarah, A Abadleh. | 2017 |
| †œ Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems†| S Mirjalili, AH Gandomi, SZ Mirjalili, S Saremi, H Faris, SM Mirjalili. | 2017 |
| Bidirectional reservoir networks trained using SVM privileged information for manufacturing process modeling | A Rodan, AF Sheta, H Faris. | 2017 |
| EvoloPy: An Open-source Nature-inspired Optimization Framework in Python. | H Faris, I Aljarah, S Mirjalili, PA Castillo, JJM Guervós. | 2016 |
| Training feedforward neural networks using multi-verse optimizer for binary classification problems | H Faris, I Aljarah, S Mirjalili. | 2016 |
| Optimizing the learning process of feedforward neural networks using lightning search algorithm | H Faris, I Aljarah, N Al-Madi, S Mirjalili. | 2016 |
| A hybrid approach based on particle swarm optimization and random forests for e-mail spam filtering | H Faris, I Aljarah, B Al-Shboul. | 2016 |
| Optimizing feedforward neural networks using biogeography based optimization for e-mail spam identification | A Rodan, H Faris, J Alqatawna. | 2016 |
| Voting-based Classification for E-mail Spam Detection. | B Al-Shboul, H Hakh, H Faris, I Aljarah, H Alsawalqah. | 2016 |
| A comparison between parametric and non-parametric soft computing approaches to model the temperature of a metal cutting tool | H Faris, A Sheta. | 2016 |
| MGP–CC: a hybrid multigene GP–Cuckoo search method for hot rolling manufacture process modelling | H Faris, AF Sheta, E Öznergiz. | 2016 |
| Forecasting ozone concentrations in the east of Croatia using Non-Parametric Neural Network Models | E Kovač-Andrić, A Sheta, H Faris, MŠ Gajdošik. | 2016 |
| Users profiling using clickstream data analysis and classification | W Alswiti, J Alqatawna, B Al-Shboul, H Faris, H Hakh. | 2016 |
| Credit risk evaluation using cycle reservoir neural networks with support vector machines readout | A Rodan, H Faris. | 2016 |
| Voting-based classification for e-mail spam detection | BA Al-Shboul, H Hakh, H Faris, I Aljarah, H Alsawalqah. | 2016 |
| A comparison between regression, artificial neural networks and support vector machines for predicting stock market index | AF Sheta, SEM Ahmed, H Faris. | 2015 |
| Optimizing feedforward neural networks using krill herd algorithm for e-mail spam detection | H Faris, I Aljarah, J Alqatawna. | 2015 |
| Hybrid data mining models for predicting customer churn | A Hudaib, R Dannoun, O Harfoushi, R Obiedat, H Faris. | 2015 |
| Improving knowledge based spam detection methods: The effect of malicious related features in imbalance data distribution | J Alqatawna, H Faris, K Jaradat, M Al-Zewairi, O Adwan. | 2015 |
| Negative correlation learning for customer churn prediction: A comparison study | A Rodan, A Fayyoumi, H Faris, J Alsakran, O Al-Kadi. | 2015 |
| Echo state network with SVM-readout for customer churn prediction | A Rodan, H Faris. | 2015 |
| Evolving Stock Market Prediction Models Using Multi-gene Symbolic Regression Genetic Programming | AF Sheta, SEM Ahmed, H Faris. | 2015 |
| Initializing genetic programming using fuzzy clustering and its application in churn prediction in the telecom industry | B Al-Shboul, H Faris, N Ghatasheh. | 2015 |
| Forecasting global carbon dioxide emission using auto-regressive with exogenous input and evolutionary product unit neural network models | AF Sheta, N Ghatasheh, H Faris. | 2015 |
| Pattern recognition of thermal images for monitoring of breathing function | J Alqatawna, H Faris, A Rodan, O Al-Kadi. | 2015 |
| Developing trip generation rates for hospitals in Amman | M Naser, H Faris. | 2015 |
| Influence of Nitrogen-di-Oxide, Temperature and Relative Humidity on Surface Ozone Modeling Process Using Multigene Symbolic Regression Genetic Programming | AF Sheta, H Faris. | 2015 |
| Predicting Stock Market Exchange Prices for the Reserve Bank of Australia Using Auto-Regressive Feedforward Neural Network Model | A Sheta, H Faris, AK Baareh. | 2015 |
| Predicting customer churn in telecom industry using multilayer preceptron neural networks: Modeling and analysis | O Adwan, H Faris, K Jaradat, O Harfoushi, N Ghatasheh. | 2014 |
| Artificial Neural Networks for Surface Ozone Prediction: Models and Analysis. | H Faris, M Alkasassbeh, A Rodan. | 2014 |
| A Support Vector Machine Approach for Churn Prediction in Telecom Industry | OAK Ali Rodan, Hossam Faris, Jamal Alsakran. | 2014 |
| A genetic programming based framework for churn prediction in telecommunication industry | H Faris, B Al-Shboul, N Ghatasheh. | 2014 |
| Neighborhood cleaning rules and particle swarm optimization for predicting customer churn behavior in telecom industry | H Faris. | 2014 |
| Improving production quality of a hot-rolling industrial process via genetic programming model | AF Sheta, H Faris, E Öznergiz. | 2014 |
| A survey of concepts location enhancement for program comprehension and maintenance | N Alhindawi, J Alsakran, A Rodan, H Faris. | 2014 |
| Visualization analysis of feed forward neural network input contribution | J Alsakran, A Rodan, N Alhindawi, H Faris. | 2014 |
| Evaluation of spatial image processing approaches for calculating water surface area: Case of the Dead Sea | NG Mua’ad Abu-Faraj, H Faris, O Harfoushi. | 2014 |
| PM10 prediction using Genetic Programming: A Case Study in Salt, Jordan | H Faris, M Alkasassbeh, N Ghatasheh, O Harfoushi. | 2014 |
| Developing and Calibrating Single-Regime Traffic Flow Models for Urban Multi-Lane Roads | M Naser, A Balbissi, H Faris, M Khazaleh. | 2014 |
| Improving production quality of a hot-rolling industrial process via genetic programming model. | AF Sheta, H Faris, E Öznergiz. | 2014 |
| Prediction of PM10 and TSP Air Pollution Parameters Using Artificial Neural Network Autoregressive, External Input Models: A Case Study in Salt, Jordan | M Alkasassbeh, AF Sheta, H Faris, H Turabieh. | 2013 |
| Modelling hot rolling manufacturing process using soft computing techniques | H Faris, A Sheta, E Öznergiz. | 2013 |
| Identification of the Tennessee Eastman Chemical Process Reactor Using Genetic Programming | H Faris, AF Sheta. | 2013 |
| Customer churn prediction using a hybrid genetic programming approach | R Obiedat, M Alkasassbeh, H Faris, O Harfoushi. | 2013 |
| A genetic programming model for S&P 500 stock market prediction | A Sheta, H Faris, M Alkasassbeh. | 2013 |
| Mobile based learning and examination: Students and instructors perceptions from different arab countries | A Fayyoumi, H Mohammad, H Faris. | 2013 |
| A Symbolic Regression Approach for Modeling the Temperature of Metal Cutting Tool | H Faris. | 2013 |
| Dead sea water level and surface area monitoring using spatial data extraction from remote sensing images | NA Ghatasheh, M Mua’ad, H Faris. | 2013 |
| Corporate e-Learning Environment Using Concept Maps: a Case Study | NA Ghatasheh, AR Najdawi, M Mua’ad, H Faris. | 2013 |
| Optimizing Thermostable Enzymes Production Using Multigene Symbolic Regression Genetic Programming | HFNG Alaa Sheta, Rania Hiary. | 2013 |
| Identification of players’ positions in a multi-agent game using artificial neural networks and C4.5 algorithm: A comparative study | R Obiedat, M Faisal, H Faris, O Harfoushi, SA Nawafleh. | 2013 |
| Identification of players’ positions in a multi-agent game using artificial neural networks and C4. 5 algorithm: A comparative study | O Ruba, F Mohammad, F Hossam, H Osama, AN Saham. | 2013 |
| An Automatic Course Scheduling Approach Using Instructors' Preferences | H Faris, I Aljarah. | 2012 |
| Fermentation Process Modeling Using Takagi-Sugeno Fuzzy Model | R Hiary, A Sheta, H Faris. | 2012 |
| Predicting Stock Abundance of the Barents Sea Capelin Using Genetic Programming | MA Alaa Sheta Hossam Faris. | 2012 |
| Framework and implementation of a knowledge management system for aerospace collaborative working environments | H Faris, S Totaro, A Corallo. | 2011 |
| AN SQL EXTENSION FOR LATENT SEMANTIC ANALYSIS | C Bisconti, A Corallo, H Faris, S Totaro. | 2011 |
| A Semantic Knowledge Search Platform For Aerospace Collaborative Working Environments | A Corallo, S Totaro, HO Faris. | 2011 |
| Improving knowledge handling by building intelligent systems using social agent modelling | A Fayoumi, H Faris, F Grippa. | 2009 |
| A Parallel Genetic Algorithm for Solving Time Tabling Problem | AT Hossam Faris, Alaa Sheta. | 2008 |
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