Hussein T. Al-Natsheh
Orcid: 0000-0003-0665-5959
According to our database1,
Hussein T. Al-Natsheh
authored at least 16 papers
between 2007 and 2021.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2021
Commun. ACM, 2021
Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021
Proceedings of the 28th Conference of Open Innovations Association, 2021
2020
Proceedings of the Fifth Arabic Natural Language Processing Workshop, 2020
2019
Text Mining Approaches for Semantic Similarity Exploration and Metadata Enrichment of Scientific Digital Libraries. (Approches en fouille de texte pour une exploration par similarité sémantique et un enrichissement en métadonnées des bibliothèques numériques).
PhD thesis, 2019
Proceedings of the Fourth Arabic Natural Language Processing Workshop, 2019
Mawdoo3 AI at MADAR Shared Task: Arabic Fine-Grained Dialect Identification with Ensemble Learning.
Proceedings of the Fourth Arabic Natural Language Processing Workshop, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
Proceedings of the Extraction et Gestion des Connaissances, 2018
Metadata Enrichment of Multi-disciplinary Digital Library: A Semantic-Based Approach.
Proceedings of the Digital Libraries for Open Knowledge, 2018
2017
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017
Semantic Search-by-Examples for Scientific Topic Corpus Expansion in Digital Libraries.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
2016
Proceedings of the Knowledge Engineering and Semantic Web - 7th International Conference, 2016
2010
Commercializing computational intelligence techniques in a business intelligence application.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2007
Performance Optimization of Adaptive Resonance Neural Networks Using Genetic Algorithms.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007