Finding Sporadic Rules Using Apriori-Inverse. - Yun Sing Koh; Nathan Rountree (PAKDD, 2005)

Finding Non-Coincidental Sporadic Rules Using Apriori-Inverse. - Yun Sing Koh; Nathan Rountree; Richard A. O'Keefe (Int. J. Data Warehous. Min., 2006)

Efficiently Finding Negative Association Rules Without Support Threshold. - Yun Sing Koh; Russel Pears (Australian Conference on Artificial Intelligence, 2007)

Rare Association Rule Mining via Transaction Clustering. - Yun Sing Koh; Russel Pears (AusDM, 2008)

Mining Non-coincidental Rules without a User Defined Support Threshold. - Yun Sing Koh (PAKDD, 2008)

Transaction Clustering Using a Seeds Based Approach. - Yun Sing Koh; Russel Pears (PAKDD, 2008)

Finding sporadic rules in the diagnosis of the Erythemato-Squamous diseases. - Yun Sing Koh (Intell. Data Anal., 2008)

Mining interesting imperfectly sporadic rules. - Yun Sing Koh; Nathan Rountree; Richard A. O'Keefe (Knowl. Inf. Syst., 2008)

Non-Redundant Rare Itemset Generation. - Yun Sing Koh; Russel Pears (AusDM, 2009)

CBDT: A Concept Based Approach to Data Stream Mining. - Stefan Hoeglinger; Russel Pears; Yun Sing Koh (PAKDD, 2009)

EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining. - Russel Pears; Yun Sing Koh; Gillian Dobbie (ADMA (1), 2010)

Valency Based Weighted Association Rule Mining. - Yun Sing Koh; Russel Pears; Wai-Kiang Yeap (PAKDD (1), 2010)

Discriminatory Confidence Analysis in Pattern Mining. - Russel Pears; Yun Sing Koh; Gillian Dobbie (ADMA (1), 2011)

SPO-Tree: Efficient Single Pass Ordered Incremental Pattern Mining. - Yun Sing Koh; Gillian Dobbie (DaWaK, 2011)

RP-Tree: Rare Pattern Tree Mining. - Sidney Tsang; Yun Sing Koh; Gillian Dobbie (DaWaK, 2011)

Automatic Assignment of Item Weights for Pattern Mining on Data Streams. - Yun Sing Koh; Russel Pears; Gillian Dobbie (PAKDD (1), 2011)

Weighted Association Rule Mining Using Particle Swarm Optimization. - Russel Pears; Yun Sing Koh (PAKDD Workshops, 2011)

Automatic Item Weight Generation for Pattern Mining and its Application. - Yun Sing Koh; Russel Pears; Gillian Dobbie (Int. J. Data Warehous. Min., 2011)

Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie; Russel Pears (Australasian Conference on Artificial Intelligence, 2012)

Generating Realistic Online Auction Data. - Sidney Tsang; Gillian Dobbie; Yun Sing Koh (Australasian Conference on Artificial Intelligence, 2012)

Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations. - Yun Sing Koh; Gillian Dobbie (AusDM, 2012)

Hierarchical PSO clustering based recommender system. - Shafiq Alam; Gillian Dobbie; Patricia Riddle; Yun Sing Koh (IEEE Congress on Evolutionary Computation, 2012)

Rare Pattern Mining on Data Streams. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie (DaWaK, 2012)

Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model. - Yun Sing Koh; Russel Pears; Gillian Dobbie (DaWaK, 2012)

Evaluating Fraud Detection Algorithms Using an Auction Data Generator. - Sidney Tsang; Gillian Dobbie; Yun Sing Koh (ICDM Workshops, 2012)

WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights. - Yun Sing Koh; Russel Pears; Gillian Dobbie (PAKDD (2), 2012)

Tracking Drift Types in Changing Data Streams. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie; Russel Pears (ADMA (1), 2013)

Change Itemset Mining in Data Streams. - Minmin Zhang; Gillian Dobbie; Yun Sing Koh (ADMA (1), 2013)

Verb selection using semantic role labeling for citation classification. - Mohammad Abdullatif; Yun Sing Koh; Gillian Dobbie; Shafiq Alam (CompSci@CIKM, 2013)

Finding Maximal Overlapping Communities. - Eileen H.-C. Wei; Yun Sing Koh; Gillian Dobbie (DaWaK, 2013)

Analysis of Web Usage Data for Clustering Based Recommender System. - Shafiq Alam; Gillian Dobbie; Patricia Riddle; Yun Sing Koh (PAAMS (Special Sessions), 2013)

One Pass Concept Change Detection for Data Streams. - Sripirakas Sakthithasan; Russel Pears; Yun Sing Koh (PAKDD (2), 2013)

Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization. - Shafiq Alam; Gillian Dobbie; Yun Sing Koh; Patricia Riddle (SIS, 2013)

Weighted association rule mining via a graph based connectivity model. - Russel Pears; Yun Sing Koh; Gillian Dobbie; Wai K. Yeap (Inf. Sci., 2013)

Efficient Single Pass Ordered Incremental Pattern Mining. - Yun Sing Koh; Gillian Dobbie (Trans. Large Scale Data Knowl. Centered Syst., 2013)

Finding Interesting Rare Association Rules Using Rare Pattern Tree. - Sidney Tsang; Yun Sing Koh; Gillian Dobbie (Trans. Large Scale Data Knowl. Centered Syst., 2013)

Web bots detection using Particle Swarm Optimization based clustering. - Shafiq Alam; Gillian Dobbie; Yun Sing Koh; Patricia Riddle (IEEE Congress on Evolutionary Computation, 2014)

Drift Detector for Memory-Constrained Environments. - Timothy D. Robinson; David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie (DaWaK, 2014)

Detecting Volatility Shift in Data Streams. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie; Russel Pears (ICDM, 2014)

Attack detection in recommender systems based on target item analysis. - Wei Zhou 028; Junhao Wen 001; Yun Sing Koh; Shafiq Alam; Gillian Dobbie (IJCNN, 2014)

Detecting Changes in Rare Patterns from Data Streams. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie; Russel Pears (PAKDD (2), 2014)

Detection of abnormal profiles on group attacks in recommender systems. - Wei Zhou 028; Yun Sing Koh; Junhao Wen 001; Shafiq Alam; Gillian Dobbie (SIGIR, 2014)

Detecting online auction shilling frauds using supervised learning. - Sidney Tsang; Yun Sing Koh; Gillian Dobbie; Shafiq Alam (Expert Syst. Appl., 2014)

Efficient negative association rule mining based on chance thresholds. - Yun Sing Koh; Russel Pears (Intell. Data Anal., 2014)

SPAN: Finding collaborative frauds in online auctions. - Sidney Tsang; Yun Sing Koh; Gillian Dobbie; Shafiq Alam (Knowl. Based Syst., 2014)

Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling. - Russel Pears; Sripirakas Sakthithasan; Yun Sing Koh (Mach. Learn., 2014)

Research on particle swarm optimization based clustering: A systematic review of literature and techniques. - Shafiq Alam; Gillian Dobbie; Yun Sing Koh; Patricia Riddle; Saeed Ur Rehman (Swarm Evol. Comput., 2014)

Web usage mining based recommender systems using implicit heterogeneous data: - A Particle Swarm Optimization based clustering approach. - Shafiq Alam; Gillian Dobbie; Yun Sing Koh; Patricia Riddle (Web Intell. Agent Syst., 2014)

Tracking Drift Severity in Data Streams. - Kylie Chen; Yun Sing Koh; Patricia Riddle (Australasian Conference on Artificial Intelligence, 2015)

Unsupervised Semantic and Syntactic Based Classification of Scientific Citations. - Mohammad Abdullatif; Yun Sing Koh; Gillian Dobbie (DaWaK, 2015)

StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams. - Robert Anderson 001; Yun Sing Koh (DaWaK, 2015)

HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values. - Yun Sing Koh; Russel Pears (DaWaK, 2015)

Drift Detection Using Stream Volatility. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie; Albert Bifet (ECML/PKDD (1), 2015)

A graph based approach to inferring item weights for pattern mining. - Russel Pears; Songwut Pisalpanus; Yun Sing Koh (Expert Syst. Appl., 2015)

Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie (Trans. Large Scale Data Knowl. Centered Syst., 2015)

CPF: Concept Profiling Framework for Recurring Drifts in Data Streams. - Robert Anderson 001; Yun Sing Koh; Gillian Dobbie (Australasian Conference on Artificial Intelligence, 2016)

Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks. - Kylie Chen; Yun Sing Koh; Patricia Riddle (IJCNN, 2016)

CD-TDS: Change detection in transactional data streams for frequent pattern mining. - Yun Sing Koh (IJCNN, 2016)

Phishing Detection on Twitter Streams. - Se Yeong Jeong; Yun Sing Koh; Gillian Dobbie (PAKDD Workshops, 2016)

Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments. - Parnia Samimi; Sri Devi Ravana; Yun Sing Koh (Comput. Hum. Behav., 2016)

Unsupervised Rare Pattern Mining: A Survey. - Yun Sing Koh; Sri Devi Ravana (ACM Trans. Knowl. Discov. Data, 2016)

AccGenSVM: Selectively Transferring from Previous Hypotheses. - Diana Benavides Prado; Yun Sing Koh; Patricia Riddle (IJCAI, 2017)

Volatility Adaptive Classifier System. - Ruolin Jia; Yun Sing Koh; Gillian Dobbie (PAKDD (1), 2017)

mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets. - Alex Yuxuan Peng; Yun Sing Koh; Patricia Riddle (PAKDD (2), 2017)

Effects of objective and subjective competence on the reliability of crowdsourced relevance judgments. - Parnia Samimi; Sri Devi Ravana; William Webber; Yun Sing Koh (Inf. Res., 2017)

Discovering High Utility Change Points in Customer Transaction Data. - Philippe Fournier-Viger; Yimin Zhang; Jerry Chun-Wei Lin; Yun Sing Koh (ADMA, 2018)

Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection. - Robert Anderson 001; Yun Sing Koh; Gillian Dobbie (Australasian Conference on Artificial Intelligence, 2018)

OHC: Uncovering Overlapping Heterogeneous Communities. - Ranran Bian; Yun Sing Koh; Gillian Dobbie; Anna Divoli (Australasian Conference on Artificial Intelligence, 2018)

Concept Drift Detector Selection for Hoeffding Adaptive Trees. - Moana Stirling; Yun Sing Koh; Philippe Fournier-Viger; Sri Devi Ravana (Australasian Conference on Artificial Intelligence, 2018)

Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie (AusDM, 2018)

Predicting Air Quality from Low-Cost Sensor Measurements. - Hamish Huggard; Yun Sing Koh; Patricia Riddle; Gustavo Olivares (AusDM, 2018)

Mining Local High Utility Itemsets. - Philippe Fournier-Viger; Yimin Zhang; Jerry Chun-Wei Lin; Hamido Fujita; Yun Sing Koh (DEXA (2), 2018)

Volatility Drift Prediction for Transactional Data Streams. - Yun Sing Koh; David Tse Jung Huang; Chris Pearce; Gillian Dobbie (ICDM, 2018)

Predicting Concept Drift in Data Streams Using Metadata Clustering. - Robert Anderson 001; Yun Sing Koh; Gillian Dobbie (IJCNN, 2018)

Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems. - Alex Yuxuan Peng; Yun Sing Koh; Patricia Riddle; Bernhard Pfahringer (ECML/PKDD (1), 2018)

Vehicle emission prediction using remote sensing data and machine learning techniques. - Jiazhen Chen; Gillian Dobbie; Yun Sing Koh; Elizabeth Somervell; Gustavo Olivares (SAC, 2018)

Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment. - Prabha Rajagopal; Sri Devi Ravana; Yun Sing Koh; Vimala Balakrishnan (Aslib J. Inf. Manag., 2018)

Investigating the effect of novel classes in semi-supervised learning. - Alex Yuxuan Peng; Yun Sing Koh; Patricia Riddle; Bernhard Pfahringer (ACML, 2019)

Items2Data: Generating Synthetic Boolean Datasets from Itemsets. - Ian Shane Wong; Gillian Dobbie; Yun Sing Koh (ADC, 2019)

Feature Importance for Biomedical Named Entity Recognition. - Hamish Huggard; Aaron Zhang; Edmond Zhang; Yun Sing Koh (Australasian Conference on Artificial Intelligence, 2019)

Classifying Imbalanced Road Accident Data Using Recurring Concept Drift. - Robert Anderson 001; Yun Sing Koh; Gillian Dobbie (AusDM, 2019)

Using Transfer Learning to Detect Phishing in Countries with a Small Population. - Wernsen Wong; Yun Sing Koh; Gillian Dobbie (AusDM, 2019)

Selective Hypothesis Transfer for Lifelong Learning. - Diana Benavides Prado; Yun Sing Koh; Patricia Riddle (IJCNN, 2019)

Supervised Clinical Abbreviations Detection and Normalisation Approach. - Xiaolong Huang; Edmond Zhang; Yun Sing Koh (PRICAI (3), 2019)

Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams. - Feiyang Tang; David Tse Jung Huang; Yun Sing Koh; Philippe Fournier-Viger (PRICAI (2), 2019)

Network Embedding and Change Modeling in Dynamic Heterogeneous Networks. - Ranran Bian; Yun Sing Koh; Gillian Dobbie; Anna Divoli (SIGIR, 2019)

Identifying Top-k Nodes in Social Networks: A Survey. - Ranran Bian; Yun Sing Koh; Gillian Dobbie; Anna Divoli (ACM Comput. Surv., 2019)

Recurring concept meta-learning for evolving data streams. - Robert Anderson 001; Yun Sing Koh; Gillian Dobbie; Albert Bifet (Expert Syst. Appl., 2019)

Mining local and peak high utility itemsets. - Philippe Fournier-Viger; Yimin Zhang; Jerry Chun-Wei Lin; Hamido Fujita; Yun Sing Koh (Inf. Sci., 2019)

Feature Drift Detection in Evolving Data Streams. - Di Zhao; Yun Sing Koh (DEXA (2), 2020)

Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text. - Balkaran Singh; Quan Sun; Yun Sing Koh; Junjae Lee; Edmond Zhang (DSAA, 2020)

SLED: Semi-supervised Locally-weighted Ensemble Detector. - Shuxiang Zhang; David Tse Jung Huang; Gillian Dobbie; Yun Sing Koh (ICDE, 2020)

GPU-based State Adaptive Random Forest for Evolving Data Streams. - Ocean Wu; Yun Sing Koh; Giovanni Russello (IJCNN, 2020)

PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. - Ocean Wu; Yun Sing Koh; Gillian Dobbie; Thomas Lacombe (PAKDD (2), 2020)

Detecting Concept Drift In Medical Triage. - Hamish Huggard; Yun Sing Koh; Gillian Dobbie; Edmond Zhang (SIGIR, 2020)

Balancing Utility and Fairness against Privacy in Medical Data. - Andrew Chester 002; Yun Sing Koh; Jörg Wicker; Quan Sun; Junjae Lee (SSCI, 2020)

Towards Knowledgeable Supervised Lifelong Learning Systems. - Diana Benavides Prado; Yun Sing Koh; Patricia Riddle (J. Artif. Intell. Res., 2020)

Real-time Smartphone Activity Classification Using Inertial Sensors - Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking. - Sijie Zhuo; Lucas Sherlock; Gillian Dobbie; Yun Sing Koh; Giovanni Russello; Danielle M. Lottridge (Sensors, 2020)

Transfer Learning with Adaptive Online TrAdaBoost for Data Streams. - Ocean Wu; Yun Sing Koh; Gillian Dobbie; Thomas Lacombe (ACML, 2021)

Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Mykola Pechenizkiy; Albert Bifet; Russel Pears (ICDE, 2021)

Understanding the Effects of Mitigation on De-identified Data. - Andrew Chester 002; Yun Sing Koh; Junjae Lee (IEA/AIE (1), 2021)

Continual Correction of Errors Using Smart Memory Replay. - Callum Cory; Diana Benavides Prado; Yun Sing Koh (IJCNN, 2021)

A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. - Thomas Lacombe; Yun Sing Koh; Gillian Dobbie; Ocean Wu (IJCNN, 2021)

Nacre: Proactive Recurrent Concept Drift Detection in Data Streams. - Ocean Wu; Yun Sing Koh; Gillian Dobbie; Thomas Lacombe (IJCNN, 2021)

Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech. - Aaron Keesing; Yun Sing Koh; Michael Witbrock (Interspeech, 2021)

Evaluating Unsupervised Text Embeddings on Software User Feedback. - Peter Devine; Yun Sing Koh; Kelly Blincoe (RE Workshops, 2021)

Evaluating Software User Feedback Classifiers on Unseen Apps, Datasets, and Metadata. - Peter Devine; Yun Sing Koh; Kelly Blincoe (CoRR, 2021)

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Russel Pears; Mykola Pechenizkiy; Albert Bifet (Data Min. Knowl. Discov., 2021)

Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation. - Olivier Graffeuille; Yun Sing Koh; Jörg Wicker; Moritz K. Lehmann (AAAI, 2022)

Active Learning Using Difficult Instances. - Bowen Chen 003; Yun Sing Koh; Ben Halstead (AI, 2022)

Measuring Difficulty of Learning Using Ensemble Methods. - Bowen Chen 003; Yun Sing Koh; Ben Halstead (AusDM, 2022)

Investigation of Explainability Techniques for Multimodal Transformers. - Krithik Ramesh; Yun Sing Koh (AusDM, 2022)

Online Air Pollution Inference using Concept Recurrence and Transfer Learning. - Bowen Chen 003; Yun Sing Koh; Gillian Dobbie; Ocean Wu; Guy Coulson; Gustavo Olivares (DSAA, 2022)

A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Mykola Pechenizkiy; Albert Bifet (DSAA, 2022)

Cost-Effective Transfer Learning for Data Streams. - Ocean Wu; Yun Sing Koh; Gillian Dobbie; Thomas Lacombe (ICDM, 2022)

Measuring Drift Severity by Tree Structure Classifiers. - Di Zhao; Yun Sing Koh; Philippe Fournier-Viger (IJCNN, 2022)

What's Inside a Cluster of Software User Feedback: A Study of Characterisation Methods. - Peter Devine; James Tizard; Hechen Wang; Yun Sing Koh; Kelly Blincoe (RE, 2022)

Probabilistic exact adaptive random forest for recurrent concepts in data streams. - Ocean Wu; Yun Sing Koh; Gillian Dobbie; Thomas Lacombe (Int. J. Data Sci. Anal., 2022)

Analyzing and repairing concept drift adaptation in data stream classification. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Russel Pears; Mykola Pechenizkiy; Albert Bifet; Gustavo Olivares; Guy Coulson (Mach. Learn., 2022)

FALL: A Modular Adaptive Learning Platform for Streaming Data. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Mykola Pechenizkiy; Albert Bifet (ICDE, 2023)

Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research. - Aaron Keesing; Yun Sing Koh; Vithya Yogarajan; Michael Witbrock (ACM Multimedia, 2023)

A Large-Scale Study of Device and Link Presentation in Email Phishing Susceptibility. - Sijie Zhuo; Robert Biddle; Lucas Betts; Nalin A. G. Arachchilage; Yun Sing Koh; Danielle M. Lottridge; Giovanni Russello (OZCHI, 2023)

Using Flexible Memories to Reduce Catastrophic Forgetting. - Wernsen Wong; Yun Sing Koh; Gillian Dobbie (PAKDD (2), 2023)

What You See is Not What You Get: The Role of Email Presentation in Phishing Susceptibility. - Sijie Zhuo; Robert Biddle; Lucas Betts; Nalin Asanka Gamagedara Arachchilage; Yun Sing Koh; Danielle M. Lottridge; Giovanni Russello (CoRR, 2023)

Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata. - Peter Devine; Yun Sing Koh; Kelly Blincoe (Empir. Softw. Eng., 2023)

Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Mykola Pechenizkiy; Albert Bifet (ACM Trans. Knowl. Discov. Data, 2023)

SoK: Human-centered Phishing Susceptibility. - Sijie Zhuo; Robert Biddle; Yun Sing Koh; Danielle M. Lottridge; Giovanni Russello (ACM Trans. Priv. Secur., 2023)

HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE. - Qifan Wang 003; Lei Zhou; Jianli Bai; Yun Sing Koh; Shujie Cui; Giovanni Russello (Comput. Secur., 2023)

Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation. - Thomas Bailie; Yun Sing Koh; Neelesh Rampal; Peter B. Gibson (AAAI, 2024)

Symmetric Self-Paced Learning for Domain Generalization. - Di Zhao; Yun Sing Koh; Gillian Dobbie; Hongsheng Hu; Philippe Fournier-Viger (AAAI, 2024)

Learning After Learning: Positive Backward Transfer in Continual Learning. - Wernsen Wong; Yun Sing Koh; Gillian Dobbie (ECAI, 2024)

Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach. - Olivier Graffeuille; Yun Sing Koh; Jörg Wicker; Moritz K. Lehmann (IJCAI, 2024)

Recurrent Concept Drifts on Data Streams. - Nuwan Gunasekara; Bernhard Pfahringer; Heitor Murilo Gomes; Albert Bifet; Yun Sing Koh (IJCAI, 2024)

Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme. - Yun Sing Koh; Albert Bifet; Karin R. Bryan; Guilherme Weigert Cassales; Olivier Graffeuille; Nick Jin Sean Lim; Phil Mourot; Ding Ning; Bernhard Pfahringer; Varvara Vetrova; Heitor Murilo Gomes (IJCAI, 2024)

Sketch-Based Replay Projection for Continual Learning. - Jack Julian; Yun Sing Koh; Albert Bifet (KDD, 2024)

SSAT-Adapter: Enhancing Vision-Language Model Few-shot Learning with Auxiliary Tasks. - Bowen Chen 003; Yun Sing Koh; Gillian Dobbie (ACM Multimedia, 2024)

GTree: GPU-friendly Privacy-preserving Decision Tree Training and Inference. - Qifan Wang 003; Shujie Cui; Lei Zhou; Ye Dong; Jianli Bai; Yun Sing Koh; Giovanni Russello (TrustCom, 2024)

Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand. - Bowen Chen 003; Gillian Dobbie; Neelesh Rampal; Yun Sing Koh (WWW, 2024)

Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models. - Zihao Luo; Xilie Xu; Feng Liu; Yun Sing Koh; Di Wang 015; Jingfeng Zhang (CoRR, 2024)

Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries. - Olivier Graffeuille; Yun Sing Koh; Jörg S. Wicker; Moritz K. Lehmann (CoRR, 2024)

An Individual Identity-Driven Framework for Animal Re-Identification. - Yihao Wu; Di Zhao; Jingfeng Zhang; Yun Sing Koh (CoRR, 2024)

Higher Order Graph Attention Probabilistic Walk Networks. - Thomas Bailie; Yun Sing Koh; Karthik Mukkavilli (CoRR, 2024)

Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach. - Ding Ning; Varvara Vetrova; Yun Sing Koh; Karin R. Bryan (CoRR, 2024)

Regional bias in monolingual English language models. - Jiachen Lyu; Katharina Dost; Yun Sing Koh; Jörg Wicker (Mach. Learn., 2024)

Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models. - Zihao Luo; Xilie Xu; Feng Liu; Yun Sing Koh; Di Wang 015; Jingfeng Zhang (AAAI, 2025)

LIBRA: Measuring Bias of Large Language Model from a Local Context. - Bo Pang; Tingrui Qiao; Caroline Walker; Chris Cunningham; Yun Sing Koh (ECIR (1), 2025)

Thematic-LM: A LLM-based Multi-agent System for Large-scale Thematic Analysis. - Tingrui Qiao; Caroline Walker; Chris Cunningham; Yun Sing Koh (WWW, 2025)

Diving Deep: Forecasting Sea Surface Temperatures and Anomalies. - Ding Ning; Varvara Vetrova; Karin R. Bryan; Yun Sing Koh; Andreas Voskou; N'Dah Jean Kouagou; Arnab Sharma (CoRR, 2025)

Meta-Feature Adapter: Integrating Environmental Metadata for Enhanced Animal Re-identification. - Yuzhuo Li; Di Zhao; Yihao Wu; Yun Sing Koh (CoRR, 2025)

CapyMOA: Efficient Machine Learning for Data Streams in Python. - Heitor Murilo Gomes; Anton Lee; Nuwan Gunasekara; Yibin Sun; Guilherme Weigert Cassales; Justin Liu; Marco Heyden; Vítor Cerqueira; Maroua Bahri; Yun Sing Koh; Bernhard Pfahringer; Albert Bifet (CoRR, 2025)

A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models. - Ding Ning; Varvara Vetrova; Sébastien Delaux; Rachael Tappenden; Karin R. Bryan; Yun Sing Koh (CoRR, 2025)

Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks. - Thomas Bailie; Yun Sing Koh; S. Karthik Mukkavilli; Varvara Vetrova (CoRR, 2025)

MultiPhishGuard: An LLM-based Multi-Agent System for Phishing Email Detection. - Yinuo Xue; Eric Spero; Yun Sing Koh; Giovanni Russello (CoRR, 2025)