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An instance-weighting method to induce cost-sensitive trees

IEEE transactions on knowledge and data engineering, 2002-05, Vol.14 (3), p.659-665

Ting, Kai Ming

2002

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Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees

IEEE transactions on knowledge and data engineering, 2017-08, Vol.29 (8), p.1605-1618

2017

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A general stochastic clustering method for automatic cluster discovery

Pattern recognition, 2011-10, Vol.44 (10), p.2786-2799

2011

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LiNearN: A new approach to nearest neighbour density estimator

Pattern recognition, 2014-08, Vol.47 (8), p.2702-2720

2014

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Learning Sparse Kernel Classifiers for Multi-Instance Classification

IEEE transaction on neural networks and learning systems, 2013-09, Vol.24 (9), p.1377-1389

2013

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Relevance feature mapping for content-based multimedia information retrieval

Pattern recognition, 2012-04, Vol.45 (4), p.1707-1720

2012

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Density-ratio based clustering for discovering clusters with varying densities

Pattern recognition, 2016-12, Vol.60, p.983-997

2016

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Isolation Forest

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

2008

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The impact of isolation kernel on agglomerative hierarchical clustering algorithms

Pattern recognition, 2023-07, Vol.139, p.109517, Article 109517

2023

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Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-16

2022

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CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities

Pattern recognition, 2021-09, Vol.117, p.107977, Article 107977

2021

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To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators

IEEE transactions on knowledge and data engineering, 2007-12, Vol.19 (12), p.1652-1665

2007

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Improving Deep Forest by Screening

IEEE transactions on knowledge and data engineering, 2022-09, Vol.34 (9), p.4298-4312

2022

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Multi-Label Learning with Emerging New Labels

IEEE transactions on knowledge and data engineering, 2018-10, Vol.30 (10), p.1901-1914

2018

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Grouping points by shared subspaces for effective subspace clustering

Pattern recognition, 2018-11, Vol.83, p.230-244

2018

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Point-Set Kernel Clustering

IEEE transactions on knowledge and data engineering, 2023-05, Vol.35 (5), p.5147-5158

2023

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Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections

IEEE transactions on knowledge and data engineering, 2023-03, Vol.35 (3), p.2697-2710

2023

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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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Simplifying and improving ant-based clustering

Procedia computer science, 2011, Vol.4, p.46-55

2011

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Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2019-07, Vol.33 (1), p.4755-4762

2019

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Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2017, Vol.31 (1)

2017

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Abnormal On Current Tendency in Saturation Region between High and Light Carbon Doped buffer layer in p-GaN HEMT

IEEE electron device letters, 2023-07, Vol.44 (7), p.1-1

2023

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Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis

IEEE transactions on information forensics and security, 2018-08, Vol.13 (8), p.1890-1905

2018

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Preparation and efficacy of a live newcastle disease virus vaccine encapsulated in chitosan nanoparticles

PloS one, 2012-12, Vol.7 (12), p.e53314

2012

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Reliability Enhancement by Doping Boron and Fluorine in Lightly Doped Drain Region of High-Voltage FinFET

IEEE electron device letters, 2023-06, Vol.44 (6), p.971-974

2023

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An instance-weighting method to induce cost-sensitive trees

Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees

A general stochastic clustering method for automatic cluster discovery

LiNearN: A new approach to nearest neighbour density estimator

Learning Sparse Kernel Classifiers for Multi-Instance Classification

Relevance feature mapping for content-based multimedia information retrieval

Density-ratio based clustering for discovering clusters with varying densities

Isolation Forest

The impact of isolation kernel on agglomerative hierarchical clustering algorithms

Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest

CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities

To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators

Improving Deep Forest by Screening

Multi-Label Learning with Emerging New Labels

Grouping points by shared subspaces for effective subspace clustering

Point-Set Kernel Clustering

Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections

LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours

Simplifying and improving ant-based clustering

Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering

Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning

Abnormal On Current Tendency in Saturation Region between High and Light Carbon Doped buffer layer in p-GaN HEMT

Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis

Preparation and efficacy of a live newcastle disease virus vaccine encapsulated in chitosan nanoparticles

Reliability Enhancement by Doping Boron and Fluorine in Lightly Doped Drain Region of High-Voltage FinFET

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