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2020 – today
- 2024
[j28]Bilal Abu-Salih, Salihah Alotaibi, Ruba Abukhurma, Muder Almiani
, Mohammed Aljaafari:
DAO-LGBM: dual annealing optimization with light gradient boosting machine for advocates prediction in online customer engagement. Clust. Comput. 27(4): 5047-5073 (2024)- [j27]Malak Al-Hassan, Bilal Abu-Salih, Esra'a Alshdaifat, Ahmad A. Al-Oqaily, Ali Rodan:
An Improved Fusion-Based Semantic Similarity Measure for Effective Collaborative Filtering Recommendations. Int. J. Comput. Intell. Syst. 17(1): 45 (2024) - [j26]Ruba Abu Khurma, Malik Braik, Abdullah Alzaqebah, Krishna Gopal Dhal, Robertas Damasevicius, Bilal Abu-Salih:
Advanced RIME architecture for global optimization and feature selection. J. Big Data 11(1): 89 (2024) - [j25]Veerajay Gooljar, Tomayess Issa, Sarita Hardin-Ramanan, Bilal Abu-Salih:
Sentiment-based predictive models for online purchases in the era of marketing 5.0: a systematic review. J. Big Data 11(1): 107 (2024) - [j24]Jing Nie, Yichen Yuan, Yang Li, Jingbin Li, Achyut Shankar, Bilal Abu-Salih, Joel J. P. C. Rodrigues:
Full-progress crop management and harvesting scheme with integrated space information: A case of jujube orchard. J. Ind. Inf. Integr. 42: 100699 (2024) - [j23]Mohammed Alweshah, Mustafa Alessa, Saleh Alkhalaileh, Sofian Kassaymeh, Bilal Abu-Salih:
Hybrid Aquila optimizer for efficient classification with probabilistic neural networks. Multiagent Grid Syst. 20(1): 41-68 (2024) - [j22]Bilal Abu-Salih, Mohammed Alweshah, Moutaz Alazab, Manaf Al-Okaily, Muteeb Alahmari, Mohammad Alhabashneh, Saleh Al-Sharaeh:
Natural language inference model for customer advocacy detection in online customer engagement. Mach. Learn. 113(4): 2249-2275 (2024) - [j21]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) - [i18]Moutaz Alazab, Ruba Abu Khurma, Pedro A. Castillo, Bilal Abu-Salih, Alejandro Martín, David Camacho:
An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron. CoRR abs/2402.14037 (2024) - 2023
- [j20]Marwan Al-Tawil, Vania Dimitrova, Dhavalkumar Thakker, Bilal Abu-Salih:
Emerging Exploration Strategies of Knowledge Graphs. IEEE Access 11: 94713-94731 (2023) - [j19]Reem Qadan Al Fayez, Marwan Al-Tawil, Bilal Abu-Salih, Zaid Eyadat:
GTDOnto: An Ontology for Organizing and Modeling Knowledge about Global Terrorism. Big Data Cogn. Comput. 7(1): 24 (2023) - [j18]Malak Al-Hassan, Bilal Abu-Salih, Ahmad Al Hwaitat:
DSpamOnto: An Ontology Modelling for Domain-Specific Social Spammers in Microblogging. Big Data Cogn. Comput. 7(2): 109 (2023) - [j17]Ahmad Alqatawna, Bilal Abu-Salih, Nadim Obeid, Muder Almiani:
Incorporating Time-Series Forecasting Techniques to Predict Logistics Companies' Staffing Needs and Order Volume. Comput. 11(7): 141 (2023) - [j16]Bilal Abu-Salih, Pornpit Wongthongtham, Kevin Coutinho, Raneem Qaddoura, Omar Alshaweesh, Mohammad O. Wedyan:
The development of a road network flood risk detection model using optimised ensemble learning. Eng. Appl. Artif. Intell. 122: 106081 (2023) - [j15]Kit Yan Chan, Bilal Abu-Salih, Khan Muhammad, Vasile Palade, Rifai Chai:
Editorial: Deep neural networks with cloud computing. Neurocomputing 521: 189-190 (2023) - [j14]Kit Yan Chan, Bilal Abu-Salih, Raneem Qaddoura, Ala' M. Al-Zoubi, Vasile Palade, Duc-Son Pham, Javier Del Ser, Khan Muhammad:
Deep neural networks in the cloud: Review, applications, challenges and research directions. Neurocomputing 545: 126327 (2023) - [j13]Bilal Abu-Salih, Muhammad Al-Qurishi, Mohammed Alweshah, Mohammad Al-Smadi, Reem Alfayez, Heba Saadeh:
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities. J. Big Data 10(1): 81 (2023) - 2022
- [j12]Bilal Abu-Salih:
MetaOntology: Toward developing an ontology for the metaverse. Frontiers Big Data 5 (2022) - [i17]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) - [i16]Bilal Abu-Salih, Muhammad Al-Qurishi, Mohammed Alweshah, Mohammad Al-Smadi, Reem Alfayez, Heba Saadeh:
Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities. CoRR abs/2207.03771 (2022) - [i15]Bilal Abu-Salih, Mohammad Alhabashneh, Dengya Zhu, Albara W. Awajan, Yazan Alshamaileh, Bashar Al-Shboul, Mohammad Alshraideh:
Emotion detection of social data: APIs comparative study. CoRR abs/2207.10654 (2022) - 2021
- [j11]Pornpit Wongthongtham, Daniel Marrable, Bilal Abu-Salih, Xin Liu, Greg Morrison:
Blockchain-enabled Peer-to-Peer energy trading. Comput. Electr. Eng. 94: 107299 (2021) - [j10]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) - [j9]Bilal Abu-Salih:
Domain-specific knowledge graphs: A survey. J. Netw. Comput. Appl. 185: 103076 (2021) - [j8]Bilal Abu-Salih, Hamad I. Alsawalqah, Basima Elshqeirat, Tomayess Issa, Pornpit Wongthongtham, Khadija Premi:
Toward a Knowledge-based Personalised Recommender System for Mobile App Development. J. Univers. Comput. Sci. 27(2): 208-229 (2021) - [i14]Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra:
Social Big Data: An Overview and Applications. CoRR abs/2104.03904 (2021) - [i13]Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra:
Introduction to Big data Technology. CoRR abs/2104.08062 (2021) - [i12]Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra:
Credibility Analysis in Social Big Data. CoRR abs/2104.09190 (2021) - [i11]Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra:
Predictive analytics using Social Big Data and machine learning. CoRR abs/2104.12591 (2021) - [i10]Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra:
Semantic data discovery from Social Big Data. CoRR abs/2105.03239 (2021) - 2020
- [j7]Kit Yan Chan, C. K. Kwong, Pornpit Wongthongtham, Huimin Jiang, Chris K. Y. Fung, Bilal Abu-Salih, Zhixin Liu, T. C. Wong, Pratima Jain:
Affective design using machine learning: a survey and its prospect of conjoining big data. Int. J. Comput. Integr. Manuf. 33(7): 645-669 (2020) - [j6]James Meneghello, Nik Thompson, Kevin Lee, Kok Wai Wong, Bilal Abu-Salih:
Unlocking Social Media and User Generated Content as a Data Source for Knowledge Management. Int. J. Knowl. Manag. 16(1): 101-122 (2020) - [j5]Bilal Abu-Salih, Kit Yan Chan, Omar Sultan Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal:
Time-aware domain-based social influence prediction. J. Big Data 7(1): 10 (2020) - [i9]Bilal Abu-Salih, Kit Yan Chan, Omar Sultan Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal:
An Approach for Time-aware Domain-based Social Influence Prediction. CoRR abs/2001.07838 (2020) - [i8]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) - [i7]Bilal Abu-Salih:
Domain-specific Knowledge Graphs: A survey. CoRR abs/2011.00235 (2020)
2010 – 2019
- 2019
- [j4]Bilal Abu-Salih, Pornpit Wongthongtham, Kit Yan Chan, Dengya Zhu:
CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor. J. Inf. Sci. 45(2) (2019) - [c7]Bilal Abu-Salih, Bushra Bremie, Pornpit Wongthongtham, Kevin Duan, Tomayess Issa, Kit Yan Chan, Mohammad Alhabashneh, Teshreen Albtoush, Sulaiman Alqahtani, Abdullah Alqahtani, Muteeb Alahmari, Naser Alshareef, Abdulaziz Albahlal:
Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions. AINA Workshops 2019: 887-896 - [i6]Bilal Abu-Salih, Bushra Bremie, Pornpit Wongthongtham, Kevin Duan, Tomayess Issa, Kit Yan Chan, Mohammad Alhabashneh, Teshreen Albtoush, Sulaiman Alqahtani, Abdullah Alqahtani, Muteeb Alahmari, Naser Alshareef, Abdulaziz Albahlal:
Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions. CoRR abs/1902.10402 (2019) - [i5]James Meneghello, Nik Thompson, Kevin Lee, Kok Wai Wong, Bilal Abu-Salih:
Unlocking Analytical Value from Social Media and User Generated Content. CoRR abs/1907.11934 (2019) - [i4]Bilal Abu-Salih:
Toward a Knowledge-based Personalised Recommender System for Mobile App Development. CoRR abs/1909.03733 (2019) - 2018
- [j3]Pornpit Wongthongtham, Kit Yan Chan, Vidyasagar M. Potdar, Bilal Abu-Salih, Sophia S. Gaikwad, Pratima Jain:
State-of-the-Art Ontology Annotation for Personalised Teaching and Learning and Prospects for Smart Learning Recommender Based on Multiple Intelligence and Fuzzy Ontology. Int. J. Fuzzy Syst. 20(4): 1357-1372 (2018) - [j2]Bilal Abu-Salih, Pornpit Wongthongtham, Kit Yan Chan:
Twitter mining for ontology-based domain discovery incorporating machine learning. J. Knowl. Manag. 22(5): 949-981 (2018) - [j1]Pornpit Wongthongtham, Bilal Abu-Salih:
Ontology-based approach for identifying the credibility domain in social Big Data. J. Organ. Comput. Electron. Commer. 28(4): 354-377 (2018) - [c6]Mohammad Alhabashneh, Bilal Abu-Salih, Shirlee-ann Knight:
Impact of Web 2.0 Technology on Students with Learning Difficulties: A State-of-the-Art and Future Challenges. AINA Workshops 2018: 693-697 - [c5]Jaswinder Kaur, Pornpit Wongthongtham, Bilal Abu-Salih, Sogand Fathy:
Analysis of Scientific Production of IoE Big Data Research. AINA Workshops 2018: 715-720 - [c4]Rouzbeh Nabipourshiri, Bilal Abu-Salih, Pornpit Wongthongtham:
Tree-based Classification to Users' Trustworthiness in OSNs. ICCAE 2018: 190-194 - [i3]Pornpit Wongthongtham, Bilal Abu-Salih:
Ontology-based Approach for Semantic Data Extraction from Social Big Data: State-of-the-art and Research Directions. CoRR abs/1801.01624 (2018) - [i2]Bilal Abu-Salih:
Applying Vector Space Model (VSM) Techniques in Information Retrieval for Arabic Language. CoRR abs/1801.03627 (2018) - [i1]Bilal Abu-Salih, Pornpit Wongthongtham, Kit Yan Chan, Dengya Zhu:
CredSaT: Credibility Ranking of Users in Big Social Data incorporating Semantic Analysis and Temporal Factor. CoRR abs/1808.01413 (2018) - 2015
- [c3]Bilal Abu-Salih, Pornpit Wongthongtham, Amin Beheshti, Dengya Zhu:
A Preliminary Approach to Domain-Based Evaluation of Users' Trustworthiness in Online Social Networks. BigData Congress 2015: 460-466 - [c2]Bilal Abu-Salih, Pornpit Wongthongtham, Amin Beheshti, Behrang Zadjabbari:
Towards a Methodology for Social Business Intelligence in the Era of Big Social Data Incorporating Trust and Semantic Analysis. DaEng 2015: 519-527 - [c1]Pornpit Wongthongtham, Bilal Abu-Salih:
Ontology and trust based data warehouse in new generation of business intelligence: State-of-the-art, challenges, and opportunities. INDIN 2015: 476-483
Coauthor Index
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