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2020 – today
- 2024
[j67]May Alsaidi, Nadim Obeid, Nailah Al-Madi, Hazem Hiary
, Ibrahim Aljarah:
A Convolutional Deep Neural Network Approach to Predict Autism Spectrum Disorder Based on Eye-Tracking Scan Paths. Inf. 15(3): 133 (2024)- [j66]Bilal Abu-Salih, Dana Al Qudah, Malak Al-Hassan, Seyed Mohssen Ghafari, Tomayess Issa, Ibrahim Aljarah, Amin Beheshti, Sulaiman Alqahtani:
An intelligent system for multi-topic social spam detection in microblogging. J. Inf. Sci. 50(6): 1471-1498 (2024) - [j65]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) - 2023
- [j64]Bilal Al-Ahmad, Nailah Al-Madi, Abdullah Alzaqebah, Rami S. Alkhawaldeh, Khaled Aldebei, Md Faisal Kabir, Ismail Al-Taharwa, Mua'ad Abu-Faraj, Ibrahim Aljarah:
Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code. IEEE Access 11: 141657-141673 (2023) - [j63]Abdullah Alzaqebah, Ibrahim Aljarah, Omar Sultan Al-Kadi:
A hierarchical intrusion detection system based on extreme learning machine and nature-inspired optimization. Comput. Secur. 124: 102957 (2023) - [j62]Abdullah Alzaqebah, Omar Sultan Al-Kadi, Ibrahim Aljarah:
An enhanced Harris hawk optimizer based on extreme learning machine for feature selection. Prog. Artif. Intell. 12(1): 77-97 (2023) - [j61]Marwan Al-Tawil, Basel A. Mahafzah, Arar Al Tawil, Ibrahim Aljarah:
Bio-Inspired Machine Learning Approach to Type 2 Diabetes Detection. Symmetry 15(3): 764 (2023) - 2022
- [j60]Lakhan Dev Sharma, Vijay Kumar Bohat, Maria Habib, Ala' M. Al-Zoubi, Hossam Faris, Ibrahim Aljarah:
Evolutionary inspired approach for mental stress detection using EEG signal. Expert Syst. Appl. 197: 116634 (2022) - [j59]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) - [j58]Bilal I. Al-Ahmad, Ala' A. Al-Zoubi, Md Faisal Kabir, Marwan Al-Tawil, Ibrahim Aljarah:
Swarm intelligence-based model for improving prediction performance of low-expectation teams in educational software engineering projects. PeerJ Comput. Sci. 8: e857 (2022) - [c24]Ruba Abu Khurma, Ibrahim Aljarah, Pedro A. Castillo, Khair Eddin Sabri:
An Enhanced Opposition-Based Evolutionary Feature Selection Approach. EvoApplications 2022: 3-14 - [i5]Bilal Abu-Salih, Dana Al Qudah, Malak Al-Hassan, Seyed Mohssen Ghafari, Tomayess Issa, Ibrahim Aljarah, Amin Beheshti, Sulaiman Alqahtani:
An Intelligent System for Multi-topic Social Spam Detection in Microblogging. CoRR abs/2201.05203 (2022) - 2021
- [j57]Thaer Thaher, Majdi M. Mafarja, Hamza Turabieh, Pedro A. Castillo, Hossam Faris, Ibrahim Aljarah:
Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems. IEEE Access 9: 41082-41103 (2021) - [j56]Iman M. Almomani, Raneem Qaddoura, Maria Habib, Samah Alsoghyer, Aala Al Khayer, Ibrahim Aljarah, Hossam Faris:
Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data. IEEE Access 9: 57674-57691 (2021) - [j55]Ibrahim Aljarah, Hossam Faris, Ali Asghar Heidari, Majdi M. Mafarja, Ala' M. Al-Zoubi, Pedro A. Castillo, Juan Julián Merelo Guervós:
A Robust Multi-Objective Feature Selection Model Based on Local Neighborhood Multi-Verse Optimization. IEEE Access 9: 100009-100028 (2021) - [j54]Bilal Abu-Salih, Marwan Al-Tawil, Ibrahim Aljarah, Hossam Faris, Pornpit Wongthongtham, Kit Yan Chan, Amin Beheshti:
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding. Data Min. Knowl. Discov. 35(4): 1497-1536 (2021) - [j53]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) - [j52]Hai Tao, Maria Habib, Ibrahim Aljarah, Hossam Faris, Haitham Abdulmohsin Afan, Zaher Mundher Yaseen:
An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir. Inf. Sci. 570: 172-184 (2021) - [j51]Enas F. Rawashdeh, Ibrahim Aljarah, Hossam Faris:
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) - [j50]Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah:
An efficient evolutionary algorithm with a nearest neighbor search technique for clustering analysis. J. Ambient Intell. Humaniz. Comput. 12(8): 8387-8412 (2021) - [j49]Ibrahim Aljarah, Maria Habib, Neveen Mohammed Hijazi, Hossam Faris, Raneem Qaddoura, Bassam Hammo, Mohammad Abd-Alrahman Mahmoud Abushariah, Mohammad Alfawareh:
Intelligent detection of hate speech in Arabic social network: A machine learning approach. J. Inf. Sci. 47(4) (2021) - [j48]Mohammed Eshtay, Hossam Faris, Ali Asghar Heidari, Ala' M. Al-Zoubi, Ibrahim Aljarah:
AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents. Neural Comput. Appl. 33(11): 5507-5524 (2021) - [j47]Ruba Abu Khurma, Ibrahim Aljarah, Ahmad Sharieh:
An intelligent feature selection approach based on moth flame optimization for medical diagnosis. Neural Comput. Appl. 33(12): 7165-7204 (2021) - [j46]Lina Alhmoud, Ruba Abu Khurma, Ala' M. Al-Zoubi, Ibrahim Aljarah:
A Real-Time Electrical Load Forecasting in Jordan Using an Enhanced Evolutionary Feedforward Neural Network. Sensors 21(18): 6240 (2021) - [j45]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) - [j44]Ala' M. Al-Zoubi, Mohammad A. Hassonah, Ali Asghar Heidari, Hossam Faris, Majdi M. Mafarja, Ibrahim Aljarah:
Evolutionary competitive swarm exploring optimal support vector machines and feature weighting. Soft Comput. 25(4): 3335-3352 (2021) - [j43]Ala' M. Al-Zoubi, Mohammad A. Hassonah, Ali Asghar Heidari, Hossam Faris, Majdi M. Mafarja, Ibrahim Aljarah:
Correction to: Evolutionary competitive swarm exploring optimal support vector machines and feature weighting. Soft Comput. 25(4): 3353 (2021) - [j42]Lina Alhmoud, Abdul Raouf Al Dairy, Hossam Faris, Ibrahim Aljarah:
Prediction of Hysteresis Loop of Barium Hexaferrite Nanoparticles Based on Neuroevolutionary Models. Symmetry 13(6): 1079 (2021) - [j41]Bilal Al-Ahmad, Ala' M. Al-Zoubi, Ruba Abu Khurma, Ibrahim Aljarah:
An Evolutionary Fake News Detection Method for COVID-19 Pandemic Information. Symmetry 13(6): 1091 (2021) - [j40]Ruba Abu Khurma, Iman M. Almomani, Ibrahim Aljarah:
IoT Botnet Detection Using Salp Swarm and Ant Lion Hybrid Optimization Model. Symmetry 13(8): 1377 (2021) - [c23]Ruba Abu Khurma, Khair Eddin Sabri, Pedro A. Castillo, Ibrahim Aljarah:
Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites Detection. EvoApplications 2021: 146-161 - [c22]Ruba Abu Khurma, Ibrahim Aljarah, Pedro A. Castillo:
Harris Hawks Optimization: A Formal Analysis of Its Variants and Applications. IJCCI 2021: 88-95 - 2020
- [j39]Ibrahim Aljarah, Maria Habib, Hossam Faris, Nailah Al-Madi, Ali Asghar Heidari, Majdi M. Mafarja, Mohamed E. Abd Elaziz, Seyedali Mirjalili:
A dynamic locality multi-objective salp swarm algorithm for feature selection. Comput. Ind. Eng. 147: 106628 (2020) - [j38]Majdi M. Mafarja, Asma Qasem, Ali Asghar Heidari, Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili:
Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection. Cogn. Comput. 12(1): 150-175 (2020) - [j37]Sinan Q. Salih, Maria Habib, Ibrahim Aljarah, Hossam Faris, Zaher Mundher Yaseen:
An evolutionary optimized artificial intelligence model for modeling scouring depth of submerged weir. Eng. Appl. Artif. Intell. 96: 104012 (2020) - [j36]Hossam Faris, Ali Asghar Heidari, Ala' M. Al-Zoubi, Majdi M. Mafarja, Ibrahim Aljarah, Mohammed Eshtay, Seyedali Mirjalili:
Time-varying hierarchical chains of salps with random weight networks for feature selection. Expert Syst. Appl. 140 (2020) - [j35]Majdi M. Mafarja, Ali Asghar Heidari, Maria Habib, Hossam Faris, Thaer Thaher, Ibrahim Aljarah:
Augmented whale feature selection for IoT attacks: Structure, analysis and applications. Future Gener. Comput. Syst. 112: 18-40 (2020) - [j34]Amaal R. Al Shorman, Hossam Faris, Ibrahim Aljarah:
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) - [j33]Ibrahim Aljarah, Majdi M. Mafarja, Ali Asghar Heidari, Hossam Faris, Seyedali Mirjalili:
Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach. Knowl. Inf. Syst. 62(2): 507-539 (2020) - [j32]Mohammad A. Hassonah, Rizik M. H. Al-Sayyed, Ali Rodan, Ala' M. Al-Zoubi, Ibrahim Aljarah, Hossam Faris:
An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter. Knowl. Based Syst. 192: 105353 (2020) - [j31]Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah:
An efficient clustering algorithm based on the k-nearest neighbors with an indexing ratio. Int. J. Mach. Learn. Cybern. 11(3): 675-714 (2020) - [j30]Ali Asghar Heidari, Ibrahim Aljarah, Hossam Faris, Huiling Chen, Jie Luo, Seyedali Mirjalili:
An enhanced associative learning-based exploratory whale optimizer for global optimization. Neural Comput. Appl. 32(9): 5185-5211 (2020) - [j29]Hamouda Chantar, Majdi M. Mafarja, Hamad I. Alsawalqah, Ali Asghar Heidari, Ibrahim Aljarah, Hossam Faris:
Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification. Neural Comput. Appl. 32(16): 12201-12220 (2020) - [j28]Hossam Faris, Ruba Abukhurma, Waref Almanaseer, Mohammed Saadeh, Antonio Mora García, Pedro A. Castillo, Ibrahim Aljarah:
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) - [c21]Ruba Abu Khurma, Ibrahim Aljarah, Ahmad Sharieh:
Rank Based Moth Flame optimisation for Feature Selection in the Medical Application. CEC 2020: 1-8 - [c20]Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Pedro A. Castillo:
EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python. EvoApplications 2020: 20-36 - [c19]Yazn Alshamaila, Maria Habib, Ibrahim Aljarah, Hamad I. Alsawalqah, Hossam Faris, Anas Ratib Alsoud:
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 - [c18]Ruba Abu Khurma, Ibrahim Aljarah, Ahmad Sharieh:
An Efficient Moth Flame Optimization Algorithm using Chaotic Maps for Feature Selection in the Medical Applications. ICPRAM 2020: 175-182 - [c17]Hossam Faris, Ibrahim Aljarah, Maria Habib, Pedro A. Castillo:
Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context. ICPRAM 2020: 453-460 - [c16]Ruba Abu Khurma, Pedro A. Castillo, Ahmad Sharieh, Ibrahim Aljarah:
Feature Selection using Binary Moth Flame Optimization with Time Varying Flames Strategies. IJCCI 2020: 17-27 - [c15]Ruba Abu Khurma, Pedro A. Castillo, Ahmad Sharieh, Ibrahim Aljarah:
New Fitness Functions in Binary Harris Hawks Optimization for Gene Selection in Microarray Datasets. IJCCI 2020: 139-146 - [c14]Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Juan Julián Merelo Guervós, Pedro A. Castillo:
Empirical Evaluation of Distance Measures for Nearest Point with Indexing Ratio Clustering Algorithm. IJCCI 2020: 430-438 - [i4]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
- [j27]Mohammad Tubishat, Mohammad A. M. Abushariah, Norisma Idris, Ibrahim Aljarah:
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis. Appl. Intell. 49(5): 1688-1707 (2019) - [j26]Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili, Nailah Al-Madi, Alaa F. Sheta, Majdi M. Mafarja:
Evolving neural networks using bird swarm algorithm for data classification and regression applications. Clust. Comput. 22(4): 1317-1345 (2019) - [j25]Majdi M. Mafarja, Ibrahim Aljarah, Hossam Faris, Abdelaziz I. Hammouri, Ala' M. Al-Zoubi, Seyedali Mirjalili:
Binary grasshopper optimisation algorithm approaches for feature selection problems. Expert Syst. Appl. 117: 267-286 (2019) - [j24]Ali Asghar Heidari, Seyedali Mirjalili, Hossam Faris, Ibrahim Aljarah, Majdi M. Mafarja, Huiling Chen:
Harris hawks optimization: Algorithm and applications. Future Gener. Comput. Syst. 97: 849-872 (2019) - [j23]Rizik M. H. Al-Sayyed, Wadi' Hijawi, Anwar M. Bashiti, Ibrahim Aljarah, Nadim Obeid, Omar Y. A. Al-Adwan:
An Investigation of Microsoft Azure and Amazon Web Services from Users' Perspectives. Int. J. Emerg. Technol. Learn. 14(10): 217-241 (2019) - [j22]Hossam Faris, Ala' M. Al-Zoubi, Ali Asghar Heidari, Ibrahim Aljarah, Majdi M. Mafarja, Mohammad A. Hassonah, Hamido Fujita:
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) - [j21]Mohammad Taradeh, Majdi M. Mafarja, Ali Asghar Heidari, Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili, Hamido Fujita:
An evolutionary gravitational search-based feature selection. Inf. Sci. 497: 219-239 (2019) - [j20]Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah:
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) - [j19]Ali Asghar Heidari, Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili:
An efficient hybrid multilayer perceptron neural network with grasshopper optimization. Soft Comput. 23(17): 7941-7958 (2019) - [j18]Mohammed Azmi Al-Betar, Ibrahim Aljarah, Mohammed A. Awadallah, Hossam Faris, Seyedali Mirjalili:
Adaptive β-hill climbing for optimization. Soft Comput. 23(24): 13489-13512 (2019) - [p5]Ali Asghar Heidari, Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah, Majdi M. Mafarja:
Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks. Nature-Inspired Optimizers 2019: 23-46 - [p4]Majdi M. Mafarja, Ali Asghar Heidari, Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah:
Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection. Nature-Inspired Optimizers 2019: 47-67 - [p3]Seyedali Mirjalili, Ibrahim Aljarah, Majdi M. Mafarja, Ali Asghar Heidari, Hossam Faris:
Grey Wolf Optimizer: Theory, Literature Review, and Application in Computational Fluid Dynamics Problems. Nature-Inspired Optimizers 2019: 87-105 - [p2]Ibrahim Aljarah, Majdi M. Mafarja, Ali Asghar Heidari, Hossam Faris, Seyedali Mirjalili:
Multi-verse Optimizer: Theory, Literature Review, and Application in Data Clustering. Nature-Inspired Optimizers 2019: 123-141 - [p1]Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah, Majdi M. Mafarja, Ali Asghar Heidari:
Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines. Nature-Inspired Optimizers 2019: 185-199 - [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
- [j17]Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili:
Improved monarch butterfly optimization for unconstrained global search and neural network training. Appl. Intell. 48(2): 445-464 (2018) - [j16]Seyedeh Zahra Mirjalili, Seyedali Mirjalili, Shahrzad Saremi, Hossam Faris, Ibrahim Aljarah:
Grasshopper optimization algorithm for multi-objective optimization problems. Appl. Intell. 48(4): 805-820 (2018) - [j15]Ibrahim Aljarah, Majdi M. Mafarja, Ali Asghar Heidari, Hossam Faris, Yong Zhang, Seyedali Mirjalili:
Asynchronous accelerating multi-leader salp chains for feature selection. Appl. Soft Comput. 71: 964-979 (2018) - [j14]Ibrahim Aljarah, Ala' M. Al-Zoubi, Hossam Faris, Mohammad A. Hassonah, Seyedali Mirjalili, Heba Saadeh:
Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm. Cogn. Comput. 10(3): 478-495 (2018) - [j13]Sarah Shukri, Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili, Ajith Abraham:
Evolutionary static and dynamic clustering algorithms based on multi-verse optimizer. Eng. Appl. Artif. Intell. 72: 54-66 (2018) - [j12]Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Hossam Faris, Ibrahim Aljarah, Abdelaziz I. Hammouri:
Natural selection methods for Grey Wolf Optimizer. Expert Syst. Appl. 113: 481-498 (2018) - [j11]Majdi M. Mafarja, Ibrahim Aljarah, Ali Asghar Heidari, Abdelaziz I. Hammouri, Hossam Faris, Ala' M. Al-Zoubi, Seyedali Mirjalili:
Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems. Knowl. Based Syst. 145: 25-45 (2018) - [j10]Hossam Faris, Majdi M. Mafarja, Ali Asghar Heidari, Ibrahim Aljarah, Ala' M. Al-Zoubi, Seyedali Mirjalili, Hamido Fujita:
An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems. Knowl. Based Syst. 154: 43-67 (2018) - [j9]Majdi M. Mafarja, Ibrahim Aljarah, Ali Asghar Heidari, Hossam Faris, Philippe Fournier-Viger, Xiaodong Li, Seyedali Mirjalili:
Binary dragonfly optimization for feature selection using time-varying transfer functions. Knowl. Based Syst. 161: 185-204 (2018) - [j8]Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili, Nailah Al-Madi:
Training radial basis function networks using biogeography-based optimizer. Neural Comput. Appl. 29(7): 529-553 (2018) - [j7]Hossam Faris, Ibrahim Aljarah, Mohammed Azmi Al-Betar, Seyedali Mirjalili:
Grey wolf optimizer: a review of recent variants and applications. Neural Comput. Appl. 30(2): 413-435 (2018) - [j6]Hossam Faris, Mohammad A. Hassonah, Ala' M. Al-Zoubi, Seyedali Mirjalili, Ibrahim Aljarah:
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) - [j5]Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili:
Optimizing connection weights in neural networks using the whale optimization algorithm. Soft Comput. 22(1): 1-15 (2018) - [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
- [c13]Hamad I. Alsawalqah, Hossam Faris, Ibrahim Aljarah, Loai M. Alnemer, Nouh Alhindawi:
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
- [j4]Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili:
Training feedforward neural networks using multi-verse optimizer for binary classification problems. Appl. Intell. 45(2): 322-332 (2016) - [j3]Hossam Faris, Ibrahim Aljarah, Nailah Al-Madi, Seyedali Mirjalili:
Optimizing the Learning Process of Feedforward Neural Networks Using Lightning Search Algorithm. Int. J. Artif. Intell. Tools 25(6): 1650033:1-1650033:32 (2016) - [j2]Ibrahim Aljarah, Simone A. Ludwig:
A Scalable MapReduce-enabled Glowworm Swarm Optimization Approach for High Dimensional Multimodal Functions. Int. J. Swarm Intell. Res. 7(1): 32-54 (2016) - [c12]Hossam Faris, Ibrahim Aljarah, Bashar Al-Shboul:
A Hybrid Approach Based on Particle Swarm Optimization and Random Forests for E-Mail Spam Filtering. ICCCI (1) 2016: 498-508 - [c11]Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili, Pedro A. Castillo, Juan Julián Merelo Guervós:
EvoloPy: An Open-source Nature-inspired Optimization Framework in Python. IJCCI (ECTA) 2016: 171-177 - 2014
- [c10]Nailah Al-Madi, Ibrahim Aljarah, Simone A. Ludwig:
Parallel glowworm swarm optimization clustering algorithm based on MapReduce. SIS 2014: 189-196 - 2013
- [c9]Ibrahim Aljarah, Simone A. Ludwig:
MapReduce intrusion detection system based on a particle swarm optimization clustering algorithm. IEEE Congress on Evolutionary Computation 2013: 955-962 - [c8]Ibrahim Aljarah, Simone A. Ludwig:
A new clustering approach based on Glowworm Swarm Optimization. IEEE Congress on Evolutionary Computation 2013: 2642-2649 - [c7]Ibrahim Aljarah, Simone A. Ludwig:
Towards a scalable intrusion detection system based on parallel PSO clustering using mapreduce. GECCO (Companion) 2013: 169-170 - [c6]Ibrahim Aljarah, Simone A. Ludwig:
A MapReduce based glowworm swarm optimization approach for multimodal functions. SIS 2013: 22-31 - 2012
- [j1]Ibrahim Aljarah, Ayad Salhieh, Hossam Faris:
An Automatic Course Scheduling Approach Using Instructors' Preferences. Int. J. Emerg. Technol. Learn. 7(1): 24-32 (2012) - [c5]Ibrahim Aljarah, Simone A. Ludwig:
Parallel particle swarm optimization clustering algorithm based on MapReduce methodology. NaBIC 2012: 104-111 - 2011
- [c4]Saeed Salem, Loqmane Seridi, Rami Alroobi, James E. Brewer, Shadi Banitaan, Ibrahim Aljarah:
CLARM: an integrative approach for functional modules discovery. BCB 2011: 646-650 - [c3]Saeed Salem, Shadi Banitaan, Ibrahim Aljarah, James E. Brewer, Rami Alroobi:
Discovering Communities in Social Networks Using Topology and Attributes. ICMLA (1) 2011: 40-43 - [c2]Ibrahim Aljarah, Shadi Banitaan, Sameer Abufardeh, Wei Jin, Saeed Salem:
Selecting discriminating terms for bug assignment: a formal analysis. PROMISE 2011: 12 - 2010
- [c1]Shadi Banitaan, Saeed Salem, Wei Jin, Ibrahim Aljarah:
A formal study of classification techniques on entity discovery and their application to opinion mining. SMUC@CIKM 2010: 29-36
Coauthor Index
[j65] [j60] [j59] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j45] [j44] [j43] [j42] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [c20] [c19] [c17] [c14] [i4] [j26] [j25] [j24] [j22] [j21] [j20] [j19] [j18] [p5] [p4] [p3] [p2] [p1] [i3] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [i2] [c13] [i1] [j4] [j3] [c12] [c11] [j1]
Ruba Abu Khurma
aka: Ruba Abukhurma
aka: Ruba Abukhurma
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last updated on 2024-12-26 00:48 CET by the dblp team
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