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Hossam Faris
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2020 – today
- 2024
- [j95]Yazn Alshamaila
, Hamad I. Alsawalqah, Ibrahim Aljarah, Maria Habib, Hossam Faris, Mohammad Alshraideh, Bilal Abu-Salih:
An automatic prediction of students' performance to support the university education system: a deep learning approach. Multim. Tools Appl. 83(15): 46369-46396 (2024) - [j94]Rana Husni Al Mahmoud, Bassam H. Hammo, Hossam Faris:
Cluster-based ensemble learning model for improving sentiment classification of Arabic documents. Nat. Lang. Eng. 30(5): 1091-1129 (2024) - [j93]Raneem Qaddoura, Hossam Faris:
Evolving random weight neural networks based on oversampled-segmented examples for IoT intrusion detection. J. Supercomput. 80(11): 16393-16427 (2024) - [i7]Alaa Alomari, Hossam Faris, Pedro A. Castillo:
Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution. CoRR abs/2402.14039 (2024) - [i6]Faris M. Al-Oqla, Hossam Faris, Maria Habib, Pedro Ángel Castillo Valdivieso:
Evolving Genetic Programming Tree Models for Predicting the Mechanical Properties of Green Fibers for Better Biocomposite Materials. CoRR abs/2404.07213 (2024) - 2023
- [j92]Ala' M. Al-Zoubi
A Multilingual Spam Reviews Detection Based on Pre-Trained Word Embedding and Weighted Swarm Support Vector Machines. IEEE Access 11: 72250-72271 (2023) - [c20]Raneem Qaddoura, Mariam M. Biltawi, Hossam Faris:
A Metaheuristic Approach for Life Expectancy Prediction based on Automatically Fine-tuned Models with Feature Selection. AIBThings 2023: 1-7 - [c19]Mariam M. Biltawi, Raneem Qaddoura, Hossam Faris:
Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification. AIAI (1) 2023: 452-462 - 2022
- [j91]Ruba Obiedat
Sentiment Analysis of Customers' Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution. IEEE Access 10: 22260-22273 (2022) - [j90]Fatima Shannaq
Offensive Language Detection in Arabic Social Networks Using Evolutionary-Based Classifiers Learned From Fine-Tuned Embeddings. IEEE Access 10: 75018-75039 (2022) - [j89]Fatima Shannag
The design, construction and evaluation of annotated Arabic cyberbullying corpus. Educ. Inf. Technol. 27(8): 10977-11023 (2022) - [j88]Lakhan Dev Sharma
Evolutionary inspired approach for mental stress detection using EEG signal. Expert Syst. Appl. 197: 116634 (2022) - [j87]Hossam Faris, Maria Habib
Classification of Arabic healthcare questions based on word embeddings learned from massive consultations: a deep learning approach. J. Ambient Intell. Humaniz. Comput. 13(4): 1811-1827 (2022) - [j86]Israa Al-Badarneh, Maria Habib, Ibrahim Aljarah, Hossam Faris:
Neuro-evolutionary models for imbalanced classification problems. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 2787-2797 (2022) - [j85]Shatha Awawdeh, Hossam Faris
EvoImputer: An evolutionary approach for Missing Data Imputation and feature selection in the context of supervised learning. Knowl. Based Syst. 236: 107734 (2022) - [c18]Anh T. Dang, Raneem Qaddoura
EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python. EvoApplications 2022: 77-92 - 2021
- [j84]Thaer Thaher
Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems. IEEE Access 9: 41082-41103 (2021) - [j83]Neeraj Dhanraj Bokde
Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region. IEEE Access 9: 53617-53635 (2021) - [j82]Iman M. Almomani
Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data. IEEE Access 9: 57674-57691 (2021) - [j81]Maria Habib
A Predictive Text System for Medical Recommendations in Telemedicine: A Deep Learning Approach in the Arabic Context. IEEE Access 9: 85690-85708 (2021) - [j80]Ibrahim Aljarah
A Robust Multi-Objective Feature Selection Model Based on Local Neighborhood Multi-Verse Optimization. IEEE Access 9: 100009-100028 (2021) - [j79]Maria Habib
AltibbiVec: A Word Embedding Model for Medical and Health Applications in the Arabic Language. IEEE Access 9: 133875-133888 (2021) - [j78]Bilal Abu-Salih
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding. Data Min. Knowl. Discov. 35(4): 1497-1536 (2021) - [j77]Neveen Mohammed Hijazi, Hossam Faris, Ibrahim Aljarah:
A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures. Expert Syst. Appl. 182: 115290 (2021) - [j76]Hai Tao
An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir. Inf. Sci. 570: 172-184 (2021) - [j75]Wadi' Hijawi, Ja'far Alqatawna, Ala' M. Al-Zoubi, Mohammad A. Hassonah, Hossam Faris:
Android botnet detection using machine learning models based on a comprehensive static analysis approach. J. Inf. Secur. Appl. 58: 102735 (2021) - [j74]Enas F. Rawashdeh, Ibrahim Aljarah
A cooperative coevolutionary method for optimizing random weight networks and its application for medical classification problems. J. Ambient Intell. Humaniz. Comput. 12(1): 321-342 (2021) - [j73]Raneem Qaddoura
An efficient evolutionary algorithm with a nearest neighbor search technique for clustering analysis. J. Ambient Intell. Humaniz. Comput. 12(8): 8387-8412 (2021) - [j72]Ala' M. Al-Zoubi
Spam profiles detection on social networks using computational intelligence methods: The effect of the lingual context. J. Inf. Sci. 47(1) (2021) - [j71]Ibrahim Aljarah, Maria Habib
Intelligent detection of hate speech in Arabic social network: A machine learning approach. J. Inf. Sci. 47(4) (2021) - [j70]Inas Abuqaddom, Basel A. Mahafzah, Hossam Faris
Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients. Knowl. Based Syst. 230: 107391 (2021) - [j69]Mohammed Eshtay
AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents. Neural Comput. Appl. 33(11): 5507-5524 (2021) - [j68]Raneem Qaddoura
A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning. Sensors 21(9): 2987 (2021) - [j67]Maria Habib
Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach. Sensors 21(9): 3279 (2021) - [j66]Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Pedro A. Castillo
EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework. SN Comput. Sci. 2(3): 185 (2021) - [j65]Ala' M. Al-Zoubi
Evolutionary competitive swarm exploring optimal support vector machines and feature weighting. Soft Comput. 25(4): 3335-3352 (2021) - [j64]Ala' M. Al-Zoubi
Correction to: Evolutionary competitive swarm exploring optimal support vector machines and feature weighting. Soft Comput. 25(4): 3353 (2021) - [j63]Lina Alhmoud
Prediction of Hysteresis Loop of Barium Hexaferrite Nanoparticles Based on Neuroevolutionary Models. Symmetry 13(6): 1079 (2021) - [c17]Raneem Qaddoura, Ala' M. Al-Zoubi, Iman M. Almomani
Predicting Different Types of Imbalanced Intrusion Activities Based on a Multi-Stage Deep Learning Approach. ICIT 2021: 858-863 - 2020
- [j62]Dana Al Qudah
Sentiment Analysis for e-Payment Service Providers Using Evolutionary eXtreme Gradient Boosting. IEEE Access 8: 189930-189944 (2020) - [j61]Mohammad H. Nadimi-Shahraki
MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems. Appl. Soft Comput. 97(Part): 106761 (2020) - [j60]Hasan Rawashdeh, Shatha Awawdeh, Fatima Shannag
Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage. Comput. Biol. Chem. 85: 107233 (2020) - [j59]Ibrahim Aljarah
A dynamic locality multi-objective salp swarm algorithm for feature selection. Comput. Ind. Eng. 147: 106628 (2020) - [j58]Majdi M. Mafarja
Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection. Cogn. Comput. 12(1): 150-175 (2020) - [j57]Zaher Mundher Yaseen
Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application. Complex. 2020: 8206245:1-8206245:14 (2020) - [j56]Sinan Q. Salih, Maria Habib
An evolutionary optimized artificial intelligence model for modeling scouring depth of submerged weir. Eng. Appl. Artif. Intell. 96: 104012 (2020) - [j55]Hossam Faris
Time-varying hierarchical chains of salps with random weight networks for feature selection. Expert Syst. Appl. 140 (2020) - [j54]Rana Husni AlMahmoud, Bassam Hammo
A modified bond energy algorithm with fuzzy merging and its application to Arabic text document clustering. Expert Syst. Appl. 159: 113598 (2020) - [j53]Majdi M. Mafarja
Augmented whale feature selection for IoT attacks: Structure, analysis and applications. Future Gener. Comput. Syst. 112: 18-40 (2020) - [j52]Amaal R. Al Shorman
Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection. J. Ambient Intell. Humaniz. Comput. 11(7): 2809-2825 (2020) - [j51]Hossam Faris, Maria Habib
Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines. J. Biomed. Informatics 109: 103525 (2020) - [j50]Ibrahim Aljarah
Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach. Knowl. Inf. Syst. 62(2): 507-539 (2020) - [j49]Mohammad A. Hassonah, Rizik M. H. Al-Sayyed, Ali Rodan, Ala' M. Al-Zoubi, Ibrahim Aljarah
An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter. Knowl. Based Syst. 192: 105353 (2020) - [j48]Raneem Qaddoura
An efficient clustering algorithm based on the k-nearest neighbors with an indexing ratio. Int. J. Mach. Learn. Cybern. 11(3): 675-714 (2020) - [j47]Mohammed Eshtay
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. 11(8): 1801-1823 (2020) - [j46]Ali Asghar Heidari
An enhanced associative learning-based exploratory whale optimizer for global optimization. Neural Comput. Appl. 32(9): 5185-5211 (2020) - [j45]Hamouda Chantar
Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification. Neural Comput. Appl. 32(16): 12201-12220 (2020) - [j44]Hossam Faris, Ruba Abukhurma, Waref Almanaseer, Mohammed Saadeh, Antonio Mora García, Pedro A. Castillo
Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market. Prog. Artif. Intell. 9(1): 31-53 (2020) - [j43]Nazeeh Ghatasheh
Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market. Prog. Artif. Intell. 9(4): 361-375 (2020) - [c16]Raneem Qaddoura
EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python. EvoApplications 2020: 20-36 - [c15]Yazn Alshamaila
An Intelligent Approach for the Effect of Social Media on Undergraduate Students Performance: A Case Study in the University of Jordan. ICCTA 2020: 102-108 - [c14]Hossam Faris, Ibrahim Aljarah, Maria Habib
Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context. ICPRAM 2020: 453-460 - [c13]Salah Safi, Huthaifa Jawazneh, Antonio Miguel Mora, Pablo García-Sánchez, Hossam Faris, Pedro A. Castillo
Identifying Botnets by Analysing Twitter Traffic during the Super Bowl. IJCCI 2020: 147-154 - [c12]Raneem Qaddoura
Empirical Evaluation of Distance Measures for Nearest Point with Indexing Ratio Clustering Algorithm. IJCCI 2020: 430-438 - [i5]Bilal Abu-Salih, Marwan Al-Tawil, Ibrahim Aljarah, Hossam Faris, Pornpit Wongthongtham:
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding. CoRR abs/2006.01626 (2020)
2010 – 2019
- 2019
- [j42]Mohamed Abdel-Basset
A binary multi-verse optimizer for 0-1 multidimensional knapsack problems with application in interactive multimedia systems. Comput. Ind. Eng. 132: 187-206 (2019) - [j41]Ibrahim Aljarah
Evolving neural networks using bird swarm algorithm for data classification and regression applications. Clust. Comput. 22(4): 1317-1345 (2019) - [j40]Majdi M. Mafarja
Binary grasshopper optimisation algorithm approaches for feature selection problems. Expert Syst. Appl. 117: 267-286 (2019) - [j39]Ali Asghar Heidari
Harris hawks optimization: Algorithm and applications. Future Gener. Comput. Syst. 97: 849-872 (2019) - [j38]Duaa Elsarraj, Maha Al Qisi, Ali Rodan, Nadim Obeid, Ahmad Abdel-Aziz Sharieh, Hossam Faris:
Demystifying echo state network with deterministic simple topologies. Int. J. Comput. Sci. Eng. 19(3): 407-417 (2019) - [j37]Hossam Faris, Ala' M. Al-Zoubi, Ali Asghar Heidari
An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks. Inf. Fusion 48: 67-83 (2019) - [j36]Mohammad Taradeh, Majdi M. Mafarja
An evolutionary gravitational search-based feature selection. Inf. Sci. 497: 219-239 (2019) - [j35]Mohammed Eshtay
Metaheuristic-based extreme learning machines: a review of design formulations and applications. Int. J. Mach. Learn. Cybern. 10(6): 1543-1561 (2019) - [j34]Hossam Faris, Seyedali Mirjalili
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. 10(10): 2901-2920 (2019) - [j33]Nailah Al-Madi
Binary multi-verse optimization algorithm for global optimization and discrete problems. Int. J. Mach. Learn. Cybern. 10(12): 3445-3465 (2019) - [j32]Ali Asghar Heidari
An efficient hybrid multilayer perceptron neural network with grasshopper optimization. Soft Comput. 23(17): 7941-7958 (2019) - [j31]Mohammed Azmi Al-Betar
Adaptive β-hill climbing for optimization. Soft Comput. 23(24): 13489-13512 (2019) - [c11]Fred N. Kiwanuka, Ja'far Alqatawna, Anang Hudaya Muhamad Amin
Towards Automated Comprehensive Feature Engineering for Spam Detection. ICISSP 2019: 429-437 - [p6]Ali Asghar Heidari
Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks. Nature-Inspired Optimizers 2019: 23-46 - [p5]Majdi M. Mafarja
Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection. Nature-Inspired Optimizers 2019: 47-67 - [p4]Seyedali Mirjalili
Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction. Nature-Inspired Optimizers 2019: 69-85 - [p3]Seyedali Mirjalili
Grey Wolf Optimizer: Theory, Literature Review, and Application in Computational Fluid Dynamics Problems. Nature-Inspired Optimizers 2019: 87-105 - [p2]Ibrahim Aljarah
Multi-verse Optimizer: Theory, Literature Review, and Application in Data Clustering. Nature-Inspired Optimizers 2019: 123-141 - [p1]Hossam Faris, Seyedali Mirjalili
Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines. Nature-Inspired Optimizers 2019: 185-199 - [i4]Alaa F. Sheta, Nazeeh Ghatasheh, Hossam Faris, Ali Rodan:
Robotics Evolution: from Remote Brain to Cloud. CoRR abs/1901.03297 (2019) - [i3]Nazeeh Ghatasheh, Hossam Faris, Ibrahim Aljarah, Rizik M. H. Al-Sayyed:
Optimizing Software Effort Estimation Models Using Firefly Algorithm. CoRR abs/1903.02079 (2019) - 2018
- [j30]Hossam Faris, Ibrahim Aljarah
Improved monarch butterfly optimization for unconstrained global search and neural network training. Appl. Intell. 48(2): 445-464 (2018) - [j29]Seyedeh Zahra Mirjalili, Seyedali Mirjalili
Grasshopper optimization algorithm for multi-objective optimization problems. Appl. Intell. 48(4): 805-820 (2018) - [j28]Alaa S. AlAgha, Hossam Faris, Bassam H. Hammo
Identifying β-thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine. Artif. Intell. Medicine 88: 70-83 (2018) - [j27]Ibrahim Aljarah
Asynchronous accelerating multi-leader salp chains for feature selection. Appl. Soft Comput. 71: 964-979 (2018) - [j26]Ibrahim Aljarah
Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm. Cogn. Comput. 10(3): 478-495 (2018) - [j25]Sarah Shukri, Hossam Faris, Ibrahim Aljarah
Evolutionary static and dynamic clustering algorithms based on multi-verse optimizer. Eng. Appl. Artif. Intell. 72: 54-66 (2018) - [j24]Mohammed Eshtay
Improving Extreme Learning Machine by Competitive Swarm Optimization and its application for medical diagnosis problems. Expert Syst. Appl. 104: 134-152 (2018) - [j23]Mohammed Azmi Al-Betar
Natural selection methods for Grey Wolf Optimizer. Expert Syst. Appl. 113: 481-498 (2018) - [j22]Ahmad B. A. Hassanat, Ghada Awad Altarawneh
On Computerizing the Ancient Game of Ṭāb. Int. J. Gaming Comput. Mediat. Simulations 10(3): 20-40 (2018) - [j21]Mohammed Azmi Al-Betar
Bat-inspired algorithms with natural selection mechanisms for global optimization. Neurocomputing 273: 448-465 (2018) - [j20]Ahmad B. A. Hassanat
An Improved Genetic Algorithm with a New Initialization Mechanism Based on Regression Techniques. Inf. 9(7): 167 (2018) - [j19]Hossam Faris:
A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors. Inf. 9(11): 288 (2018) - [j18]Wafa Herzallah, Hossam Faris, Omar Adwan
Feature engineering for detecting spammers on Twitter: Modelling and analysis. J. Inf. Sci. 44(2): 230-247 (2018) - [j17]Majdi M. Mafarja
Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems. Knowl. Based Syst. 145: 25-45 (2018) - [j16]Ala' M. Al-Zoubi
Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts. Knowl. Based Syst. 153: 91-104 (2018) - [j15]Hossam Faris, Majdi M. Mafarja
An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems. Knowl. Based Syst. 154: 43-67 (2018) - [j14]Majdi M. Mafarja
Binary dragonfly optimization for feature selection using time-varying transfer functions. Knowl. Based Syst. 161: 185-204 (2018) - [j13]Ibrahim Aljarah
Training radial basis function networks using biogeography-based optimizer. Neural Comput. Appl. 29(7): 529-553 (2018) - [j12]Hossam Faris, Ibrahim Aljarah
Grey wolf optimizer: a review of recent variants and applications. Neural Comput. Appl. 30(2): 413-435 (2018) - [j11]Hossam Faris, Mohammad A. Hassonah
A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture. Neural Comput. Appl. 30(8): 2355-2369 (2018) - [j10]Ibrahim Aljarah
Optimizing connection weights in neural networks using the whale optimization algorithm. Soft Comput. 22(1): 1-15 (2018) - [c10]Ali Rodan, Pedro A. Castillo, Hossam Faris, Antonio Miguel Mora, Huthaifa Jawazneh
Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir. ESANN 2018 - [c9]Amaal R. Al Shorman
The Influence of Input Data Standardization Methods on the Prediction Accuracy of Genetic Programming Generated Classifiers. IJCCI 2018: 79-85 - [i2]Mo'ath Alrefai, Hossam Faris, Ibrahim Aljarah:
Sentiment analysis for Arabic language: A brief survey of approaches and techniques. CoRR abs/1809.02782 (2018) - 2017
- [j9]Seyedali Mirjalili
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems. Adv. Eng. Softw. 114: 163-191 (2017) - [j8]Pedro A. Castillo
Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment. Knowl. Based Syst. 115: 133-151 (2017) - [j7]Ali Rodan
Bidirectional reservoir networks trained using SVM + privileged information for manufacturing process modeling. Soft Comput. 21(22): 6811-6824 (2017) - [c8]Mais Haj Qasem
Empirical Evaluation of the Cycle Reservoir with Regular Jumps for Time Series Forecasting: A Comparison Study. CSOC (1) 2017: 115-124 - [c7]Hamad I. Alsawalqah, Hossam Faris, Ibrahim Aljarah
Hybrid SMOTE-Ensemble Approach for Software Defect Prediction. CSOC (3) 2017: 355-366 - [i1]Wadi' Hijawi, Hossam Faris, Ja'far Alqatawna, Ibrahim Aljarah, Ala' M. Al-Zoubi, Maria Habib:
EMFET: E-mail Features Extraction Tool. CoRR abs/1711.08521 (2017) - 2016
- [j6]Hossam Faris
Training feedforward neural networks using multi-verse optimizer for binary classification problems. Appl. Intell. 45(2): 322-332 (2016) - [j5]Hossam Faris, Ibrahim Aljarah
Optimizing the Learning Process of Feedforward Neural Networks Using Lightning Search Algorithm. Int. J. Artif. Intell. Tools 25(6): 1650033:1-1650033:32 (2016) - [j4]Hossam Faris
A comparison between parametric and non-parametric soft computing approaches to model the temperature of a metal cutting tool. Int. J. Comput. Integr. Manuf. 29(1): 64-75 (2016) - [c6]Ali Rodan
Credit Risk Evaluation Using Cycle Reservoir Neural Networks with Support Vector Machines Readout. ACIIDS (1) 2016: 595-604 - [c5]Wedyan Alswiti, Ja'far Alqatawna, Bashar Al-Shboul
Users Profiling Using Clickstream Data Analysis and Classification. CCC 2016: 96-99 - [c4]Hossam Faris, Ibrahim Aljarah
A Hybrid Approach Based on Particle Swarm Optimization and Random Forests for E-Mail Spam Filtering. ICCCI (1) 2016: 498-508 - [c3]Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili
EvoloPy: An Open-source Nature-inspired Optimization Framework in Python. IJCCI (ECTA) 2016: 171-177 - 2014
- [j3]Alaa F. Sheta
Improving production quality of a hot-rolling industrial process via genetic programming model. Int. J. Comput. Appl. Technol. 49(3/4): 239-250 (2014) - [c2]Hossam Faris
A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry. ICCCI 2014: 353-362 - 2013
- [j2]Hossam Faris
Modelling hot rolling manufacturing process using soft computing techniques. Int. J. Comput. Integr. Manuf. 26(8): 762-771 (2013) - 2012
- [j1]Ibrahim Aljarah
An Automatic Course Scheduling Approach Using Instructors' Preferences. Int. J. Emerg. Technol. Learn. 7(1): 24-32 (2012) - 2011
- [c1]Hossam Faris
Framework and Implementation of a Knowledge Management System for Aerospace Collaborative Working Environments. Mobile Data Management (2) 2011: 92-97
Coauthor Index
[j95] [j88] [j86] [j84] [j82] [j80] [j78] [j77] [j76] [j74] [j73] [j71] [j69] [j66] [j65] [j64] [j63] [j59] [j58] [j56] [j55] [j53] [j52] [j50] [j49] [j48] [j46] [j45] [j44] [c16] [c15] [c14] [c12] [i5] [j41] [j40] [j39] [j37] [j36] [j34] [j32] [j31] [p6] [p5] [p3] [p2] [p1] [i3] [j30] [j29] [j27] [j26] [j25] [j23] [j17] [j15] [j14] [j13] [j12] [j11] [j10] [i2] [c7] [i1] [j6] [j5] [c4] [c3] [j1]
Pedro A. Castillo
aka: Pedro Ángel Castillo Valdivieso
aka: Pedro Ángel Castillo Valdivieso
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