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z-SVM: An SVM for Improved Classification of Imbalanced Data

AI 2006: Advances in Artificial Intelligence, 2006, Vol.4304, p.264-273

2006

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Isolation Forest

2008 Eighth IEEE International Conference on Data Mining, 2008, p.413-422

2008

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IEEE_Xplore

New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.1207-1212

2017

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IEEE_Xplore

Improving Deep Forest by Confidence Screening

2018 IEEE International Conference on Data Mining (ICDM), 2018, p.1194-1199

2018

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IEEE_Xplore

Ensemble Selection for SuperParent-One-Dependence Estimators

AI 2005: Advances in Artificial Intelligence, 2005, Vol.3809, p.102-112

2005

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Maximizing Tree Diversity by Building Complete-Random Decision Trees

Advances in Knowledge Discovery and Data Mining, 2005, p.605-610

2005

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Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020, p.198-206

2020

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Learning Naive Bayes Classifiers for Music Classification and Retrieval

2010 20th International Conference on Pattern Recognition, 2010, p.4589-4592

2010

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IEEE_Xplore

Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble

2014 IEEE International Conference on Data Mining Workshop, 2014, p.698-705

2014

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IEEE_Xplore

A study on the effect of class distribution using cost-sensitive learning

Lecture notes in computer science, 2002, p.98-112

KAI MING TING

2002

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LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours

2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015, p.623-630

2015

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IEEE_Xplore

On Low-Rank Regularized Least Squares for Scalable Nonlinear Classification

Neural Information Processing, p.490-499

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Improving the centered CUSUMS statistic for structural break detection in time series

Lecture notes in computer science, 2004, p.402-413

2004

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Isolation Set-Kernel and Its Application to Multi-Instance Learning

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p.941-949

2019

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Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes

2019 IEEE International Conference on Data Mining (ICDM), 2019, p.970-975

2019

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IEEE_Xplore

Variable Randomness in Decision Tree Ensembles

Advances in Knowledge Discovery and Data Mining, 2006, p.81-90

2006

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Issues of grid-cluster retrievals in swarm-based clustering

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008, p.511-518

2008

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IEEE_Xplore

Reproducing the Results of Ant-based Clustering Without Using Ants

2006 IEEE International Conference on Evolutionary Computation, 2006, p.1760-1767

2006

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IEEE_Xplore

Mp-Dissimilarity: A Data Dependent Dissimilarity Measure

2014 IEEE International Conference on Data Mining, 2014, p.707-712

2014

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IEEE_Xplore

Boosting trees for cost-sensitive classifications

Lecture notes in computer science, 1998, p.190-195

1998

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Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure

Information Retrieval Technology, p.400-406

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Multi-dimensional Mass Estimation and Mass-based Clustering

2010 IEEE International Conference on Data Mining, 2010, p.511-520

2010

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IEEE_Xplore

Boosting Support Vector Machines Successfully

Multiple Classifier Systems, p.509-518

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Boosting Cost-Sensitive Trees

Discovey Science, 1998, p.244-255

1998

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Distribution-Based Trajectory Clustering

2023 IEEE International Conference on Data Mining (ICDM), 2023, p.1379-1384

2023

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IEEE_Xplore

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z-SVM: An SVM for Improved Classification of Imbalanced Data

Isolation Forest

New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning

Improving Deep Forest by Confidence Screening

Ensemble Selection for SuperParent-One-Dependence Estimators

Maximizing Tree Diversity by Building Complete-Random Decision Trees

Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection

Learning Naive Bayes Classifiers for Music Classification and Retrieval

Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble

A study on the effect of class distribution using cost-sensitive learning

LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours

On Low-Rank Regularized Least Squares for Scalable Nonlinear Classification

Improving the centered CUSUMS statistic for structural break detection in time series

Isolation Set-Kernel and Its Application to Multi-Instance Learning

Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes

Variable Randomness in Decision Tree Ensembles

Issues of grid-cluster retrievals in swarm-based clustering

Reproducing the Results of Ant-based Clustering Without Using Ants

Mp-Dissimilarity: A Data Dependent Dissimilarity Measure

Boosting trees for cost-sensitive classifications

Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure

Multi-dimensional Mass Estimation and Mass-based Clustering

Boosting Support Vector Machines Successfully

Boosting Cost-Sensitive Trees

Distribution-Based Trajectory Clustering

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