Name
Affiliation
Papers
YUN SING KOH
Department of Computer Science, University of Auckland, New Zealand
93
Collaborators
Citations 
PageRank 
85
393
39.52
Referers 
Referees 
References 
722
1709
1064
Search Limit
1001000
Title
Citations
PageRank
Year
Measuring Drift Severity by Tree Structure Classifiers00.342022
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation.00.342022
Analyzing and repairing concept drift adaptation in data stream classification00.342022
Recurring Concept Memory Management In Data Streams: Exploiting Data Stream Concept Evolution To Improve Performance And Transparency00.342021
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification00.342021
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information10.362021
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams.00.342021
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams00.342021
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams00.342021
Continual Correction of Errors Using Smart Memory Replay00.342021
Detecting Concept Drift in Medical Triage00.342020
Sled: Semi-Supervised Locally-Weighted Ensemble Detector00.342020
Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text00.342020
Feature Drift Detection in Evolving Data Streams.00.342020
REAL-Time Smartphone Activity Classification Using Inertial Sensors-Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking.10.362020
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams.10.352020
Investigating the effect of novel classes in semi-supervised learning.00.342019
Recurring Concept Meta-learning for Evolving Data Streams.30.412019
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift.00.342019
Using Transfer Learning to Detect Phishing in Countries with a Small Population.00.342019
Items2Data: Generating Synthetic Boolean Datasets from Itemsets10.392019
Feature Importance for Biomedical Named Entity Recognition.00.342019
Mining local and peak high utility itemsets70.402019
Network Embedding and Change Modeling in Dynamic Heterogeneous Networks30.382019
Identifying Top- Nodes in Social Networks: A Survey.20.352019
Discovering High Utility Change Points in Customer Transaction Data.00.342018
Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle.00.342018
Predicting Air Quality from Low-Cost Sensor Measurements.00.342018
Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment.00.342018
Vehicle emission prediction using remote sensing data and machine learning techniques.00.342018
mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets.50.432017
AccGenSVM: Selectively Transferring from Previous Hypotheses.00.342017
Volatility Adaptive Classifier System.00.342017
Effects Of Objective And Subjective Competence On The Reliability Of Crowdsourced Relevance Judgments00.342017
Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments.00.342016
CPF: Concept Profiling Framework for Recurring Drifts in Data Streams.10.352016
Unsupervised Rare Pattern Mining: A Survey.100.522016
Phishing Detection on Twitter Streams.30.392016
Tracking Drift Severity in Data Streams10.352015
Unsupervised Semantic and Syntactic Based Classification of Scientific Citations30.402015
StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams.10.362015
HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values00.342015
A graph based approach to inferring item weights for pattern mining.20.362015
Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants.00.342015
Drift Detection Using Stream Volatility70.502015
Attack detection in recommender systems based on target item analysis70.422014
Drift Detector for Memory-Constrained Environments.00.342014
Efficient negative association rule mining based on chance thresholds00.342014
Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling.00.342014
SPAN: Finding collaborative frauds in online auctions.70.472014
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