Kai Ming Ting

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Coauteurs

Zhi-Hua ZhouNanjing UniversityAdresse e-mail validée de nju.edu.cn
Ye ZhuSenior Lecturer of Computer Science, Deakin UniversityAdresse e-mail validée de deakin.edu.au
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash UniversityAdresse e-mail validée de monash.edu
Swee Chuan TanAssociate Professor, Singapore University of Social SciencesAdresse e-mail validée de suss.edu.sg
Sunil Aryal, PhD, FHEADeakin University AustraliaAdresse e-mail validée de deakin.edu.au
Guojun LuFederation University AustraliaAdresse e-mail validée de federation.edu.au
Dengsheng ZhangFederation University AustraliaAdresse e-mail validée de federation.edu.au
Ian H. WittenProfessor of Computer Science, University of Waikato, New ZealandAdresse e-mail validée de waikato.ac.nz
Zhouyu FuLead Researcher, Microsoft Research AsiaAdresse e-mail validée de microsoft.com
Shyh Wei TengFederation University Australia - Institute of Innovation, Science & SustainabilityAdresse e-mail validée de federation.edu.au
Mark J. CarmanAssociate Professor, DEIB, Politecnico di MilanoAdresse e-mail validée de polimi.it
Gholamreza (Reza) HaffariMonash University and Openstream AIAdresse e-mail validée de monash.edu
Guang-Tong ZhouFacebookAdresse e-mail validée de fb.com
Tharindu BandaragodaResearch Centre for Data Analytics & Cognition, La Trobe UniversityAdresse e-mail validée de latrobe.edu.au
Guansong PangAssistant Professor of Computer Science, Singapore Management UniversityAdresse e-mail validée de smu.edu.sg
Xin MuPengcheng LaboratoryAdresse e-mail validée de lamda.nju.edu.cn
Yang YuProfessor, Nanjing UniversityAdresse e-mail validée de nju.edu.cn
Kevin B KorbHonorary Senior Fellow, University of Melbourne
Bo ChenSeeing MachinesAdresse e-mail validée de seeingmachines.com

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Kai Ming Ting

Nanjing University

Adresse e-mail validée de nju.edu.cn - Page d'accueil

Machine Learning Data Mining


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Isolation forest FT Liu, KM Ting, ZH Zhou 2008 eighth ieee international conference on data mining, 413-422, 2008	7383	2008
Isolation-based anomaly detection FT Liu, KM Ting, ZH Zhou ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-39, 2012	2251	2012
Issues in stacked generalization KM Ting, IH Witten Journal of artificial intelligence research 10, 271-289, 1999	961	1999
Confusion matrix KM Ting Encyclopedia of machine learning, 209-209, 2011	759	2011
An instance-weighting method to induce cost-sensitive trees KM Ting IEEE Transactions on Knowledge and Data Engineering 14 (3), 659-665, 2002	652	2002
A survey of audio-based music classification and annotation Z Fu, G Lu, KM Ting, D Zhang IEEE transactions on multimedia 13 (2), 303-319, 2010	632	2010
A comparative study of cost-sensitive boosting algorithms KM Ting Proceedings of the seventeenth international conference on machine learning …, 2000	404	2000
Fast anomaly detection for streaming data SC Tan, KM Ting, TF Liu Twenty-second international joint conference on artificial intelligence, 2011	387	2011
Precision and Recall. KM Ting Encyclopedia of machine learning 781, 2010	345	2010
Stacking bagged and dagged models KM Ting, IH Witten	345	1997
Stacked Generalization: when does it work? KM Ting, IH Witten Department of Computer Science, University of Waik, 1997	274	1997
z-SVM: An SVM for improved classification of imbalanced data T Imam, KM Ting, J Kamruzzaman AI 2006: Advances in Artificial Intelligence: 19th Australian Joint …, 2006	215	2006
On detecting clustered anomalies using sciforest FT Liu, KM Ting, ZH Zhou Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	192	2010
Isolation‐based anomaly detection using nearest‐neighbor ensembles TR Bandaragoda, KM Ting, D Albrecht, FT Liu, Y Zhu, JR Wells Computational Intelligence 34 (4), 968-998, 2018	170	2018
Density-ratio based clustering for discovering clusters with varying densities Y Zhu, KM Ting, MJ Carman Pattern Recognition 60, 983-997, 2016	150	2016
Inducing cost-sensitive trees via instance weighting KM Ting European symposium on principles of data mining and knowledge discovery, 139-147, 1998	147	1998
Classification under streaming emerging new classes: A solution using completely-random trees X Mu, KM Ting, ZH Zhou IEEE Transactions on Knowledge and Data Engineering 29 (8), 1605-1618, 2017	139	2017
On the application of ROC analysis to predict classification performance under varying class distributions GI Webb, KM Ting Machine learning 58, 25-32, 2005	132	2005
Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification GI Webb, JR Boughton, F Zheng, KM Ting, H Salem Machine learning 86, 233-272, 2012	122	2012
Multi-label learning with emerging new labels Y Zhu, KM Ting, ZH Zhou IEEE Transactions on Knowledge and Data Engineering 30 (10), 1901-1914, 2018	115	2018

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