Yun Sing Koh

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 83

Top Venues

IJCNN

AusDM

Australasian Conference on Artificial Intelligence

CoRR

Publications

Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang
Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models. CoRR (2024)
Jiachen Lyu, Katharina Dost, Yun Sing Koh, Jörg Wicker
Regional bias in monolingual English language models. Mach. Learn. 113 (9) (2024)
Jack Julian, Yun Sing Koh, Albert Bifet
Sketch-Based Replay Projection for Continual Learning. KDD (2024)
Bowen Chen, Gillian Dobbie, Neelesh Rampal, Yun Sing Koh
Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand. WWW (2024)
Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger
Symmetric Self-Paced Learning for Domain Generalization. AAAI (2024)
Thomas Bailie, Yun Sing Koh, Neelesh Rampal, Peter B. Gibson
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation. AAAI (2024)
Qifan Wang, Lei Zhou, Jianli Bai, Yun Sing Koh, Shujie Cui, Giovanni Russello
: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE. Comput. Secur. 135 (2023)
Sijie Zhuo, Robert Biddle, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello
SoK: Human-centered Phishing Susceptibility. ACM Trans. Priv. Secur. 26 (3) (2023)
Sijie Zhuo, Robert Biddle, Lucas Betts, Nalin A. G. Arachchilage, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello
A Large-Scale Study of Device and Link Presentation in Email Phishing Susceptibility. OZCHI (2023)
Wernsen Wong, Yun Sing Koh, Gillian Dobbie
Using Flexible Memories to Reduce Catastrophic Forgetting. PAKDD (2) (2023)
Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference. CoRR (2023)
Peter Devine, Yun Sing Koh, Kelly Blincoe
Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata. Empir. Softw. Eng. 28 (1) (2023)
Sijie Zhuo, Robert Biddle, Lucas Betts, Nalin Asanka Gamagedara Arachchilage, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello
What You See is Not What You Get: The Role of Email Presentation in Phishing Susceptibility. CoRR (2023)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Aaron Keesing, Yun Sing Koh, Vithya Yogarajan, Michael Witbrock
Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research. ACM Multimedia (2023)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
FALL: A Modular Adaptive Learning Platform for Streaming Data. ICDE (2023)
Krithik Ramesh, Yun Sing Koh
Investigation of Explainability Techniques for Multimodal Transformers. AusDM (2022)
Bowen Chen, Yun Sing Koh, Gillian Dobbie, Ocean Wu, Guy Coulson, Gustavo Olivares
Online Air Pollution Inference using Concept Recurrence and Transfer Learning. DSAA (2022)
Sijie Zhuo, Robert Biddle, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello
SoK: Human-Centered Phishing Susceptibility. CoRR (2022)
Bowen Chen, Yun Sing Koh, Ben Halstead
Active Learning Using Difficult Instances. AI (2022)
Di Zhao, Yun Sing Koh, Philippe Fournier-Viger
Measuring Drift Severity by Tree Structure Classifiers. IJCNN (2022)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
Analyzing and repairing concept drift adaptation in data stream classification. Mach. Learn. 111 (10) (2022)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams. DSAA (2022)
Bowen Chen, Yun Sing Koh, Ben Halstead
Measuring Difficulty of Learning Using Ensemble Methods. AusDM (2022)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Cost-Effective Transfer Learning for Data Streams. ICDM (2022)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Probabilistic exact adaptive random forest for recurrent concepts in data streams. Int. J. Data Sci. Anal. 13 (1) (2022)
Peter Devine, James Tizard, Hechen Wang, Yun Sing Koh, Kelly Blincoe
What's Inside a Cluster of Software User Feedback: A Study of Characterisation Methods. RE (2022)
Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation. AAAI (2022)
Thomas Lacombe, Yun Sing Koh, Gillian Dobbie, Ocean Wu
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. IJCNN (2021)
Peter Devine, Yun Sing Koh, Kelly Blincoe
Evaluating Software User Feedback Classifiers on Unseen Apps, Datasets, and Metadata. CoRR (2021)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. ICDE (2021)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams. IJCNN (2021)
Callum Cory, Diana Benavides Prado, Yun Sing Koh
Continual Correction of Errors Using Smart Memory Replay. IJCNN (2021)
Aaron Keesing, Yun Sing Koh, Michael Witbrock
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech. Interspeech (2021)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification. DSAA (2021)
Peter Devine, Yun Sing Koh, Kelly Blincoe
Evaluating Unsupervised Text Embeddings on Software User Feedback. RE Workshops (2021)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. Data Min. Knowl. Discov. 35 (3) (2021)
Andrew Chester, Yun Sing Koh, Junjae Lee
Understanding the Effects of Mitigation on De-identified Data. IEA/AIE (1) (2021)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams. ACML (2021)
Balkaran Singh, Quan Sun, Yun Sing Koh, Junjae Lee, Edmond Zhang
Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text. DSAA (2020)
Sijie Zhuo, Lucas Sherlock, Gillian Dobbie, Yun Sing Koh, Giovanni Russello, Danielle M. Lottridge
Real-time Smartphone Activity Classification Using Inertial Sensors - Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking. Sensors 20 (3) (2020)
Di Zhao, Yun Sing Koh
Feature Drift Detection in Evolving Data Streams. DEXA (2) (2020)
Andrew Chester, Yun Sing Koh, Jörg Wicker, Quan Sun, Junjae Lee
Balancing Utility and Fairness against Privacy in Medical Data. SSCI (2020)
Diana Benavides Prado, Yun Sing Koh, Patricia Riddle
Towards Knowledgeable Supervised Lifelong Learning Systems. J. Artif. Intell. Res. 68 (2020)
Hamish Huggard, Yun Sing Koh, Gillian Dobbie, Edmond Zhang
Detecting Concept Drift In Medical Triage. SIGIR (2020)
Ocean Wu, Yun Sing Koh, Giovanni Russello
GPU-based State Adaptive Random Forest for Evolving Data Streams. IJCNN (2020)
Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh
SLED: Semi-supervised Locally-weighted Ensemble Detector. ICDE (2020)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. PAKDD (2) (2020)
Robert Anderson, Yun Sing Koh, Gillian Dobbie
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift. AusDM (2019)
Wernsen Wong, Yun Sing Koh, Gillian Dobbie
Using Transfer Learning to Detect Phishing in Countries with a Small Population. AusDM (2019)
Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli
Nodes in Social Networks: A Survey. ACM Comput. Surv. 52 (1) (2019)
Feiyang Tang, David Tse Jung Huang, Yun Sing Koh, Philippe Fournier-Viger
Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams. PRICAI (2) (2019)
Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet
Recurring Concept Meta-learning for Evolving Data Streams. CoRR (2019)
Hamish Huggard, Aaron Zhang, Edmond Zhang, Yun Sing Koh
Feature Importance for Biomedical Named Entity Recognition. Australasian Conference on Artificial Intelligence (2019)
Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet
Recurring concept meta-learning for evolving data streams. Expert Syst. Appl. 138 (2019)
Ian Shane Wong, Gillian Dobbie, Yun Sing Koh
Items2Data: Generating Synthetic Boolean Datasets from Itemsets. ADC (2019)
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer
Investigating the effect of novel classes in semi-supervised learning. ACML (2019)
Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli
Network Embedding and Change Modeling in Dynamic Heterogeneous Networks. SIGIR (2019)
Diana Benavides Prado, Yun Sing Koh, Patricia Riddle
Selective Hypothesis Transfer for Lifelong Learning. IJCNN (2019)
Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh
Mining local and peak high utility itemsets. Inf. Sci. 481 (2019)
Xiaolong Huang, Edmond Zhang, Yun Sing Koh
Supervised Clinical Abbreviations Detection and Normalisation Approach. PRICAI (3) (2019)
Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh
Mining Local High Utility Itemsets. DEXA (2) (2018)
Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Yun Sing Koh
Discovering High Utility Change Points in Customer Transaction Data. ADMA (2018)
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer
Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems. ECML/PKDD (1) (2018)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle. AusDM (2018)
Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie
Volatility Drift Prediction for Transactional Data Streams. ICDM (2018)
Moana Stirling, Yun Sing Koh, Philippe Fournier-Viger, Sri Devi Ravana
Concept Drift Detector Selection for Hoeffding Adaptive Trees. Australasian Conference on Artificial Intelligence (2018)
Robert Anderson, Yun Sing Koh, Gillian Dobbie
Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection. Australasian Conference on Artificial Intelligence (2018)
Prabha Rajagopal, Sri Devi Ravana, Yun Sing Koh, Vimala Balakrishnan
Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment. Aslib J. Inf. Manag. 71 (1) (2018)
Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli
OHC: Uncovering Overlapping Heterogeneous Communities. Australasian Conference on Artificial Intelligence (2018)
Jiazhen Chen, Gillian Dobbie, Yun Sing Koh, Elizabeth Somervell, Gustavo Olivares
Vehicle emission prediction using remote sensing data and machine learning techniques. SAC (2018)
Robert Anderson, Yun Sing Koh, Gillian Dobbie
Predicting Concept Drift in Data Streams Using Metadata Clustering. IJCNN (2018)
Hamish Huggard, Yun Sing Koh, Patricia Riddle, Gustavo Olivares
Predicting Air Quality from Low-Cost Sensor Measurements. AusDM (2018)
Ruolin Jia, Yun Sing Koh, Gillian Dobbie
Volatility Adaptive Classifier System. PAKDD (1) (2017)
Parnia Samimi, Sri Devi Ravana, William Webber, Yun Sing Koh
Effects of objective and subjective competence on the reliability of crowdsourced relevance judgments. Inf. Res. 22 (1) (2017)
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle
mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets. PAKDD (2) (2017)
Diana Benavides Prado, Yun Sing Koh, Patricia Riddle
AccGenSVM: Selectively Transferring from Previous Hypotheses. IJCAI (2017)
Yun Sing Koh
CD-TDS: Change detection in transactional data streams for frequent pattern mining. IJCNN (2016)
Parnia Samimi, Sri Devi Ravana, Yun Sing Koh
Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments. Comput. Hum. Behav. 64 (2016)
Se Yeong Jeong, Yun Sing Koh, Gillian Dobbie
Phishing Detection on Twitter Streams. PAKDD Workshops (2016)
Yun Sing Koh, Sri Devi Ravana
Unsupervised Rare Pattern Mining: A Survey. ACM Trans. Knowl. Discov. Data 10 (4) (2016)
Kylie Chen, Yun Sing Koh, Patricia Riddle
Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks. IJCNN (2016)
Robert Anderson, Yun Sing Koh, Gillian Dobbie
CPF: Concept Profiling Framework for Recurring Drifts in Data Streams. Australasian Conference on Artificial Intelligence (2016)
Kylie Chen, Yun Sing Koh, Patricia Riddle
Tracking Drift Severity in Data Streams. Australasian Conference on Artificial Intelligence (2015)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet
Drift Detection Using Stream Volatility. ECML/PKDD (1) (2015)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants. Trans. Large Scale Data Knowl. Centered Syst. 21 (2015)
Yun Sing Koh, Russel Pears
HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values. DaWaK (2015)
Mohammad Abdullatif, Yun Sing Koh, Gillian Dobbie
Unsupervised Semantic and Syntactic Based Classification of Scientific Citations. DaWaK (2015)
Robert Anderson, Yun Sing Koh
StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams. DaWaK (2015)
Russel Pears, Songwut Pisalpanus, Yun Sing Koh
A graph based approach to inferring item weights for pattern mining. Expert Syst. Appl. 42 (1) (2015)
Yun Sing Koh, Russel Pears
Efficient negative association rule mining based on chance thresholds. Intell. Data Anal. 18 (2) (2014)
Sidney Tsang, Yun Sing Koh, Gillian Dobbie, Shafiq Alam
Detecting online auction shilling frauds using supervised learning. Expert Syst. Appl. 41 (6) (2014)
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle
Web bots detection using Particle Swarm Optimization based clustering. IEEE Congress on Evolutionary Computation (2014)
Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie
Detection of abnormal profiles on group attacks in recommender systems. SIGIR (2014)
Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie
Attack detection in recommender systems based on target item analysis. IJCNN (2014)
Russel Pears, Sripirakas Sakthithasan, Yun Sing Koh
Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling. Mach. Learn. 97 (3) (2014)
Sidney Tsang, Yun Sing Koh, Gillian Dobbie, Shafiq Alam
SPAN: Finding collaborative frauds in online auctions. Knowl. Based Syst. 71 (2014)
Timothy D. Robinson, David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
Drift Detector for Memory-Constrained Environments. DaWaK (2014)
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle, Saeed Ur Rehman
Research on particle swarm optimization based clustering: A systematic review of literature and techniques. Swarm Evol. Comput. 17 (2014)
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle
Web usage mining based recommender systems using implicit heterogeneous data: - A Particle Swarm Optimization based clustering approach. Web Intell. Agent Syst. 12 (4) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yun Sing Koh