| An unsupervised method for social network spammer detection based on user information interests D Koggalahewa, Y Xu, E Foo Journal of Big Data 9 (1), 7, 2022 | 36 | 2022 |
| Spam detection in social networks based on peer acceptance D Niranjan Koggalahewa, Y Xu, E Foo Proceedings of the Australasian Computer Science Week Multiconference, 1-7, 2020 | 16 | 2020 |
| A drift aware hierarchical test based approach for combating social spammers in online social networks D Koggalahewa, Y Xu, E Foo Australasian Conference on Data Mining, 47-61, 2021 | 3 | 2021 |
| Sentence based mathematical problem solving approach via ontology modeling DTK Geeganage, DN Koggalahewa, JL Amararachchi, AS Karunananda 2016 6th International Conference on IT Convergence and Security (ICITCS), 1-5, 2016 | 3 | 2016 |
| Two-stage unsupervised approach for combating social spammers D Koggalahewa, Y Xu, E Foo 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 71-78, 2020 | 2 | 2020 |
| An investigation on multi view based user behavior towards spam detection in social networks D Koggalahewa, Y Xu Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2019 …, 2019 | 2 | 2019 |
| Semantic Self Learning And Teaching Agent (SESLATA) DN Koggalahewa, JL Amararachchi, SU Pilapitiya, DTK Geegange 2013 8th International Conference on Computer Science & Education, 171-176, 2013 | 2 | 2013 |
| Methodology of knowledge representation from natural language (Onto_X) DN Koggalahewa, JL Amararachchi, SU Pilapitiya, DTK Geegange 2013 8th International Conference on Computer Science & Education, 177-180, 2013 | 2 | 2013 |
| Unsupervised Spammer Detection in Social Networks based on User Information Interests D Koggalahewa, Y Xu, E Foo | 1 | 2021 |
| Methodology of Knowledge Representation from Natural language DN Koggalahewa, SPB Athauda, SU Pilapitiya, KGD Tharanga, ... Uva Wellassa University of Sri Lanka, 2010 | 1 | 2010 |
| Spammer detection in social networks based on user behaviours DN Koggalahewa Queensland University of Technology, 2023 | | 2023 |
| Enhanced Topic Representation by Ambiguity Handling DK Geeganage, Y Xu, D Koggalahewa, Y Li International Conference on Web Information Systems Engineering, 357-369, 2022 | | 2022 |
| Automated Knowledge Understanding And Recognition Assistant (AKURA) H Jayanandana, R Rishanthakumar, H Herath, HMS Piyasundara, ... SLIIT, 2017 | | 2017 |
| Recommendation System for Online Social Network Recruiting DN Koggalahewa, KHH Sandeepa, WRV Chandrathilaka, G Gunarathne, ... SLIIT, 2016 | | 2016 |
| Ontology Guided Semantic Self Learning Framework DNKAS Karunananda International Journal of Knowledge Engineering 1 (1), 30-37, 2015 | | 2015 |
| Ontology guided semantic self learning framework DN Koggalahewa, AS Karunananda | | 2015 |
| Tourist Behaviour Analytical System AGD Nimasha, H Silva, W Senarathna, KH Salgado, D Nawinna, ... SLIIT, 2014 | | 2014 |
| Context-Aware Mobile Personal Assistant BM Amarasekara, J Jayasuriya, J Perera, J Ariyarathna SLIIT, 2014 | | 2014 |
| Ontology driven environment for semantic learning DN Koggalahewa | | 2014 |
| Intelligent Ontology based Question Answering System for Medical Domain DN Koggalahewa, JL Amararachchi, KGD Tharanga, SU Pilapitiya Uva Wellassa University of Srilanka, 2011 | | 2011 |
Yue XuQueensland University of TechnologyDirección de correo verificada de qut.edu.au
