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Kai Ming Ting
Kai Ming Ting
Nanjing University
E-mailová adresa ověřena na: nju.edu.cn - Domovská stránka
Název
Citace
Citace
Rok
Isolation forest
FT Liu, KM Ting, ZH Zhou
2008 eighth ieee international conference on data mining, 413-422, 2008
73552008
Isolation-based anomaly detection
FT Liu, KM Ting, ZH Zhou
ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-39, 2012
22512012
Issues in stacked generalization
KM Ting, IH Witten
Journal of artificial intelligence research 10, 271-289, 1999
9611999
Confusion matrix
KM Ting
Encyclopedia of machine learning, 209-209, 2011
7592011
An instance-weighting method to induce cost-sensitive trees
KM Ting
IEEE Transactions on Knowledge and Data Engineering 14 (3), 659-665, 2002
6522002
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
6322010
A comparative study of cost-sensitive boosting algorithms
KM Ting
Proceedings of the seventeenth international conference on machine learning …, 2000
4042000
Fast anomaly detection for streaming data
SC Tan, KM Ting, TF Liu
Twenty-second international joint conference on artificial intelligence, 2011
3872011
Precision and Recall.
KM Ting
Encyclopedia of machine learning 781, 2010
3452010
Stacking bagged and dagged models
KM Ting, IH Witten
3451997
Stacked Generalization: when does it work?
KM Ting, IH Witten
Department of Computer Science, University of Waik, 1997
2741997
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
2152006
On detecting clustered anomalies using sciforest
FT Liu, KM Ting, ZH Zhou
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
1932010
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
1702018
Density-ratio based clustering for discovering clusters with varying densities
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 60, 983-997, 2016
1502016
Inducing cost-sensitive trees via instance weighting
KM Ting
European symposium on principles of data mining and knowledge discovery, 139-147, 1998
1471998
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
1392017
On the application of ROC analysis to predict classification performance under varying class distributions
GI Webb, KM Ting
Machine learning 58, 25-32, 2005
1322005
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
1222012
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
1152018
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Články 1–20