• 747 Citations
  • 14 h-Index
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Fingerprint Dive into the research topics where Shahrul Azman Mohd Noah is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 37 Similar Profiles
Ontology Engineering & Materials Science
Semantics Engineering & Materials Science
Image retrieval Engineering & Materials Science
Information retrieval Engineering & Materials Science
Recommender systems Engineering & Materials Science
Feature extraction Engineering & Materials Science
Adaptive boosting Engineering & Materials Science
Digital libraries Engineering & Materials Science

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Research Output 1998 2020

  • 747 Citations
  • 14 h-Index
  • 82 Conference contribution
  • 63 Article
  • 5 Editorial
  • 3 Conference article

XMIAR: X-ray Medical Image Annotation and Retrieval

Abdulrazzaq, M. M., Yaseen, I. F. T., Mohd Noah, S. A., Fadhil, M. A. & Ashour, M. U., 1 Jan 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Arai, K. & Kapoor, S. (eds.). Springer Verlag, p. 638-651 14 p. (Advances in Intelligent Systems and Computing; vol. 944).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

X rays
Image retrieval
Support vector machines
Learning systems

Contextual sentiment based recommender system to provide recommendation in the electronic products domain

Osman, N. A., Mohd Noah, S. A. & Darwich, M., 1 Aug 2019, In : International Journal of Machine Learning and Computing. 9, 4, p. 425-431 7 p.

Research output: Contribution to journalArticle

Open Access
Recommender systems
Collaborative filtering
Consumer electronics
1 Citation (Scopus)

Multi-label Arabic text categorization: A benchmark and baseline comparison of multi-label learning algorithms

Al-Salemi, B., Ayob, M., Kendall, G. & Mohd Noah, S. A., 1 Jan 2019, In : Information Processing and Management. 56, 1, p. 212-227 16 p.

Research output: Contribution to journalArticle

Learning algorithms
Text categorization

Text Relation Extraction Using Sentence-Relation Semantic Similarity

Lubani, M. & Noah, S. A. M., 1 Jan 2019, Multi-disciplinary Trends in Artificial Intelligence - 13th International Conference, MIWAI 2019, Proceedings. Chamchong, R. & Wong, K. W. (eds.). Springer, p. 3-14 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11909 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semantic Similarity
1 Citation (Scopus)
Health Education
Randomized Controlled Trials
Costs and Cost Analysis