Recent publications
Book
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2019, Structure-Based Supervised Term Weighting and Regularization for Text Classification. https://doi.org/10.1007/978-3-030-23281-8_9
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2016, Supervised graph-based term weighting scheme for effective text classification. https://doi.org/10.3233/978-1-61499-672-9-1710
Article
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2021, 'Knowledge-driven graph similarity for text classification', International Journal of Machine Learning and Cybernetics, vol. 12, pp. 1067–1081. https://doi.org/10.1007/s13042-020-01221-4
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2020, 'Ontology-based enriched concept graphs for medical document classification', Information Sciences. https://doi.org/10.1016/j.ins.2020.03.006
Shanavas, N & Asokan, S 2014, 'Semantic approach utilizing data mining and case-based reasoning for it support service', International Research Journal of Engineering and Technology (IRJET).
Conference contribution
Abbas, A, Lee, M, Kovatchev, V & Shanavas, N 2025, MTNER: Multiple Tender Named Entities Recognition and Classification from unstructured tender documents. in Proceedings of the 19th International Conference on Ubiquitous Information Management and Communication. IEEE Press / Wiley, International Conference on Ubiquitous Information Management and Communication, Bangkok, Thailand, 3/01/25.
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2018, Using graph-theoretic methods for text classification. in Data Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference (FLINS 2018).
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2016, Centrality-Based Approach for Supervised Term Weighting. in IEEE International Conference on Data Mining Workshops, ICDMW. https://doi.org/10.1109/ICDMW.2016.0181
Shanavas, N & Asokan, S 2015, Ontology-based document mining system for IT support service. in Procedia Computer Science. https://doi.org/10.1016/j.procs.2015.02.028
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