Yong-Bin Kang

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Shonali KrishnaswamyMonash UniversityVerified email at i2r.a-star.edu.sg
Yuan-Fang LiMonash UniversityVerified email at monash.edu
Arkady ZaslavskyDeakin University, Data61 @ CSIRO, Monash University, Lulea University of Technology(Sweden)Verified email at deakin.edu.au
Pari Delir HaghighiMonash UniversityVerified email at monash.edu
Abdur Rahim Mohammad ForkanSenior Research Fellow, AI and Machine Learning, Swinburne University of Technology, AustraliaVerified email at swin.edu.au
Prem Prakash JayaramanSwinburne University of TechnologyVerified email at swinburne.edu.au
Frada BursteinAdjunct Professor, Department of Human Centered Computing, Monash UniversityVerified email at monash.edu
Ahsan MorshedCQUnivesityVerified email at cqu.edu.au
Claudio BartoliniPrincipal Researcher, HP LabsVerified email at hp.com
Wudhichart SawangpholLecturer at Faculty of ICT, Mahidol UniversityVerified email at mahidol.edu
Timos SellisAthena Research CenterVerified email at athenarc.gr
Tahmid HasanDepartment of Computer Science and Engineering, Bangladesh University of Engineering and TechnologyVerified email at cse.buet.ac.bd
Rifat ShahriyarProfessor, Department of CSE, BUETVerified email at cse.buet.ac.bd
Samuel WhittleSenior Consultant Rheumatologist, The Queen Elizabeth Hospital; Senior Lecturer, The University ofVerified email at adelaide.edu.au
Rachelle BuchbinderProfessor, Monash University and Cabrini InstituteVerified email at monash.edu
Jeff Z. PanUniversity of EdinburghVerified email at ed.ac.uk
Hung DuApplied Artificial Intelligence Institute - Deakin UniversityVerified email at deakin.edu.au
Md Saiful IslamComputer Science, University of RochesterVerified email at ur.rochester.edu
M Sohel RahmanCSE, BUETVerified email at cse.buet.ac.bd
Yusuf PisanUniversity of Washington BothellVerified email at uw.edu

Yong-Bin Kang

Swinburne University of Technology

Verified email at swin.edu.au - Homepage

Machine Learning Knowledge Discovery Data Mining Information Retrieval


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Predicting reasoning performance using ontology metrics YB Kang, YF Li, S Krishnaswamy International Semantic Web Conference, 198-214, 2012	84	2012
CFinder: An intelligent key concept finder from text for ontology development YB Kang, PD Haghighi, F Burstein Expert Systems with Applications 41 (9), 4494-4504, 2014	71	2014
Healthcare 4.0: A review of frontiers in digital health PP Jayaraman, ARM Forkan, A Morshed, PD Haghighi, YB Kang Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (2 …, 2020	69	2020
A retrieval strategy for case-based reasoning using similarity and association knowledge YB Kang, S Krishnaswamy, A Zaslavsky IEEE transactions on cybernetics 44 (4), 473-487, 2013	50	2013
How long will it take? accurate prediction of ontology reasoning performance YB Kang, JZ Pan, S Krishnaswamy, W Sawangphol, YF Li Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	32	2014
XL-sum: Large-scale multilingual abstractive summarization for 44 languages T Hasan, A Bhattacharjee, MS Islam, K Samin, YF Li, YB Kang, ... arXiv preprint arXiv:2106.13822, 2021	24	2021
TaxoFinder: A Graph-based Approach for Taxonomy Learning YB Kang, P Delir Haghighi, F Burstein Knowledge and Data Engineering, IEEE Transactions on, 2015	23	2015
Investigating subjective experience and the influence of weather among individuals with fibromyalgia: a content analysis of Twitter PD Haghighi, YB Kang, R Buchbinder, F Burstein, S Whittle JMIR public health and surveillance 3 (1), e6344, 2017	20	2017
A knowledge-rich similarity measure for improving IT incident resolution process YB Kang, A Zaslavsky, S Krishnaswamy, C Bartolini Proceedings of the 2010 ACM Symposium on Applied Computing, 1781-1788, 2010	20	2010
A Rigorous Characterization of Classification Performance-A Tale of Four Reasoners. YB Kang, YF Li, S Krishnaswamy ORE, 2012	14	2012
Congestion avoidance algorithm using extended Kalman filter SS Kim, YB Kang 2007 International Conference on Convergence Information Technology (ICCIT …, 2007	14	2007
A survey of major challenges and future directions for next generation pervasive computing YB Kang, Y Pisan International Symposium on Computer and Information Sciences, 755-764, 2006	14	2006
R2O2: an Efficient Ranking-based Reasoner for OWL Ontologies YB Kang, S Krishnaswamy, YF Li 14th International Semantic Web Conference (ISWC 2015), 2015	11	2015
Understanding and improving ontology reasoning efficiency through learning and ranking YB Kang, S Krishnaswamy, W Sawangphol, L Gao, YF Li Information Systems 87, 101412, 2020	8	2020
XMegaWall: a super high-resolution tiled display using a PC cluster YB Kang, KJ Chae Proceedings of Computer Graphics International, 29-36, 2007	7	2007
A fastest route planning for LBS based on traffic prediction YB Kang, SS Kim Proceedings of the 9th WSEAS International Confrance, 2005	7	2005
Capturing researcher expertise through mesh classification YB Kang, YF Li, RL Coppel Proceedings of the 8th International Conference on Knowledge Capture, 1-8, 2015	5	2015
A computer-facilitated method for matching incident cases using semantic similarity measurement YB Kang, A Zaslavsky, S Krishnaswamy, C Bartolini 2009 IFIP/IEEE International Symposium on Integrated Network Management …, 2009	5	2009
CorrDetector: A framework for structural corrosion detection from drone images using ensemble deep learning ARM Forkan, YB Kang, PP Jayaraman, K Liao, R Kaul, G Morgan, ... Expert Systems with Applications, 116461, 2022	4	2022
Retrieval in CBR using a combination of similarity and association knowledge YB Kang, S Krishnaswamy, A Zaslavsky International Conference on Advanced Data Mining and Applications, 1-14, 2011	4	2011

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