Yun Sing Koh

181 papers A* 26A 5B 31C 3Misc 17Journal 55Unranked 41
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information.
CoRR
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
2026 A conf
HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling.
WSDM
Thomas Bailie, Yun Sing Koh, Surya Karthik Mukkavilli
2026 J jnl
Let Your Image Move with Your Motion! - Implicit Multi-Object Multi-Motion Transfer.
CoRR
Yuze Li, Dong Gong, Xiao Cao, Junchao Yuan, Dongsheng Li, Lei Zhou, Yun Sing Koh, Cheng Yan, Xinyu Zhang
2025 J jnl
A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models.
CoRR
Ding Ning, Varvara Vetrova, Sébastien Delaux, Rachael Tappenden, Karin R. Bryan, Yun Sing Koh
2025 — ed.
AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part I
AI (1)
Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang
2025 — ed.
AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part II
AI (2)
Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang
2025 J jnl
Animal Re-Identification on Microcontrollers.
CoRR
Yubo Chen, Di Zhao, Yun Sing Koh, Talia Xu
2025 A* conf
Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation.
IJCAI
Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh
2025 A* conf
CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments.
IJCAI
Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh
2025 J jnl
CapyMOA: Efficient Machine Learning for Data Streams in Python.
CoRR
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
2025 J jnl
Diving Deep: Forecasting Sea Surface Temperatures and Anomalies.
CoRR
Ding Ning, Varvara Vetrova, Karin R. Bryan, Yun Sing Koh, Andreas Voskou, N'Dah Jean Kouagou, Arnab Sharma
2025 J jnl
Hierarchical Graph Networks for Accurate Weather Forecasting via Lightweight Training.
CoRR
Thomas Bailie, S. Karthik Mukkavilli, Varvara Vetrova, Yun Sing Koh
2025 — conf
LIBRA: Measuring Bias of Large Language Model from a Local Context.
ECIR (1)
Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh
2025 J jnl
LIBRA: Measuring Bias of Large Language Model from a Local Context.
CoRR
Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh
2025 — conf
Longitudinal Surveys Are Texts: LLM-Enhanced Analysis of School Attendance in New Zealand.
ECML/PKDD (8)
Tingrui Qiao, Caroline Walker, Chris Cunningham, Adam Jang-Jones, Susan M. B. Morton, Kane Meissel, Yun Sing Koh
2025 — conf
Machine Learning for Data Streams with CapyMOA.
ECML/PKDD (10)
Yibin Sun, Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, Albert Bifet
2025 — conf
Message-Passing Under Heterophily for Graph Classification.
ICDM (Workshops)
Callum Cory, Miao Qiao, Diana Benavides-Prado, Yun Sing Koh
2025 J jnl
Meta-Feature Adapter: Integrating Environmental Metadata for Enhanced Animal Re-identification.
CoRR
Yuzhuo Li, Di Zhao, Yihao Wu, Yun Sing Koh
2025 A* conf
MetaWild: A Multimodal Dataset for Animal Re-Identification with Environmental Metadata.
ACM Multimedia
Yuzhuo Li, Di Zhao, Tingrui Qiao, Yihao Wu, Bo Pang, Yun Sing Koh
2025 J jnl
Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models.
CoRR
Haochuan Xu, Yun Sing Koh, Shuhuai Huang, Zirun Zhou, Di Wang, Jun Sakuma, Jingfeng Zhang
2025 J jnl
MultiPhishGuard: An LLM-based Multi-Agent System for Phishing Email Detection.
CoRR
Yinuo Xue, Eric Spero, Yun Sing Koh, Giovanni Russello
2025 A* conf
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models.
AAAI
Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang
2025 J jnl
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks.
CoRR
Thomas Bailie, Yun Sing Koh, S. Karthik Mukkavilli, Varvara Vetrova
2025 A conf
Thematic Bottleneck Models for Multimodal Analysis of School Attendance.
CIKM
Tingrui Qiao, Caroline Walker, Chris Cunningham, Adam Jang-Jones, Susan M. B. Morton, Kane Meissel, Yun Sing Koh
2025 A* conf
Thematic-LM: A LLM-based Multi-agent System for Large-scale Thematic Analysis.
WWW
Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh
2025 J jnl
XGT: Fast and Secure Decision Tree Training and Inference on GPUs.
IEEE Trans. Dependable Secur. Comput.
Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello
2024 J jnl
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams.
CoRR
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
2024 J jnl
Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach.
CoRR
Ding Ning, Varvara Vetrova, Yun Sing Koh, Karin R. Bryan
2024 J jnl
An Individual Identity-Driven Framework for Animal Re-Identification.
CoRR
Yihao Wu, Di Zhao, Jingfeng Zhang, Yun Sing Koh
2024 Misc ed.
Data Science and Machine Learning - 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings
AusDM
Diana Benavides-Prado, Sarah M. Erfani, Philippe Fournier-Viger, Yee Ling Boo, Yun Sing Koh
2024 J jnl
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries.
CoRR
Olivier Graffeuille, Yun Sing Koh, Jörg S. Wicker, Moritz K. Lehmann
2024 B conf
GTree: GPU-friendly Privacy-preserving Decision Tree Training and Inference.
TrustCom
Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello
2024 Misc conf
Glucose Forecasting Through Physiological Modelling.
AusDM
Dane Lyttinen, Ivana Sequeira-Bisson, Jennifer Miles-Chan, Yun Sing Koh
2024 J jnl
Higher Order Graph Attention Probabilistic Walk Networks.
CoRR
Thomas Bailie, Yun Sing Koh, S. Karthik Mukkavilli
2024 A conf
Learning After Learning: Positive Backward Transfer in Continual Learning.
ECAI
Wernsen Wong, Yun Sing Koh, Gillian Dobbie
2024 J jnl
Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models.
CoRR
Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang
2024 A* conf
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation.
AAAI
Thomas Bailie, Yun Sing Koh, Neelesh Rampal, Peter B. Gibson
2024 A* conf
Recurrent Concept Drifts on Data Streams.
IJCAI
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh
2024 J jnl
Regional bias in monolingual English language models.
Mach. Learn.
Jiachen Lyu, Katharina Dost, Yun Sing Koh, Jörg Wicker
2024 A* conf
Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach.
IJCAI
Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann
2024 A* conf
SSAT-Adapter: Enhancing Vision-Language Model Few-shot Learning with Auxiliary Tasks.
ACM Multimedia
Bowen Chen, Yun Sing Koh, Gillian Dobbie
2024 A* conf
Sketch-Based Replay Projection for Continual Learning.
KDD
Jack Julian, Yun Sing Koh, Albert Bifet
2024 A* conf
Symmetric Self-Paced Learning for Domain Generalization.
AAAI
Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger
2024 A* conf
Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme.
IJCAI
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
2024 A* conf
Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand.
WWW
Bowen Chen, Gillian Dobbie, Neelesh Rampal, Yun Sing Koh
2023 Misc conf
A Large-Scale Study of Device and Link Presentation in Email Phishing Susceptibility.
OZCHI
Sijie Zhuo, Robert Biddle, Lucas Betts, Nalin A. G. Arachchilage, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello
2023 J jnl
Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams.
ACM Trans. Knowl. Discov. Data
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
2023 A* conf
Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research.
ACM Multimedia
Aaron Keesing, Yun Sing Koh, Vithya Yogarajan, Michael Witbrock
2023 J jnl
Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata.
Empir. Softw. Eng.
Peter Devine, Yun Sing Koh, Kelly Blincoe
2023 A* conf
FALL: A Modular Adaptive Learning Platform for Streaming Data.
ICDE
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
2023 J jnl
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference.
CoRR
Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello
2023 J jnl
SoK: Human-centered Phishing Susceptibility.
ACM Trans. Priv. Secur.
Sijie Zhuo, Robert Biddle, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello
2023 — conf
Using Flexible Memories to Reduce Catastrophic Forgetting.
PAKDD (2)
Wernsen Wong, Yun Sing Koh, Gillian Dobbie
2023 J jnl
What You See is Not What You Get: The Role of Email Presentation in Phishing Susceptibility.
CoRR
Sijie Zhuo, Robert Biddle, Lucas Betts, Nalin Asanka Gamagedara Arachchilage, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello
2022 B conf
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams.
DSAA
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
2022 Misc conf
Active Learning Using Difficult Instances.
AI
Bowen Chen, Yun Sing Koh, Ben Halstead
2022 J jnl
Analyzing and repairing concept drift adaptation in data stream classification.
Mach. Learn.
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
2022 A* conf
Cost-Effective Transfer Learning for Data Streams.
ICDM
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
2022 Misc ed.
Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings
AusDM
Laurence A. F. Park, Heitor Murilo Gomes, Maryam Doborjeh, Yee Ling Boo, Yun Sing Koh, Yanchang Zhao, Graham J. Williams, Simeon Simoff
2022 Misc conf
Investigation of Explainability Techniques for Multimodal Transformers.
AusDM
Krithik Ramesh, Yun Sing Koh
2022 Misc conf
Measuring Difficulty of Learning Using Ensemble Methods.
AusDM
Bowen Chen, Yun Sing Koh, Ben Halstead
2022 B conf
Measuring Drift Severity by Tree Structure Classifiers.
IJCNN
Di Zhao, Yun Sing Koh, Philippe Fournier-Viger
2022 B conf
Online Air Pollution Inference using Concept Recurrence and Transfer Learning.
DSAA
Bowen Chen, Yun Sing Koh, Gillian Dobbie, Ocean Wu, Guy Coulson, Gustavo Olivares
2022 J jnl
Probabilistic exact adaptive random forest for recurrent concepts in data streams.
Int. J. Data Sci. Anal.
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
2022 A* conf
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation.
AAAI
Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann
2022 J jnl
SoK: Human-Centered Phishing Susceptibility.
CoRR
Sijie Zhuo, Robert Biddle, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello
2022 A conf
What's Inside a Cluster of Software User Feedback: A Study of Characterisation Methods.
RE
Peter Devine, James Tizard, Hechen Wang, Yun Sing Koh, Kelly Blincoe
2021 B conf
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams.
IJCNN
Thomas Lacombe, Yun Sing Koh, Gillian Dobbie, Ocean Wu
2021 A conf
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech.
Interspeech
Aaron Keesing, Yun Sing Koh, Michael Witbrock
2021 B conf
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification.
DSAA
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
2021 B conf
Continual Correction of Errors Using Smart Memory Replay.
IJCNN
Callum Cory, Diana Benavides Prado, Yun Sing Koh
2021 J jnl
Evaluating Software User Feedback Classifiers on Unseen Apps, Datasets, and Metadata.
CoRR
Peter Devine, Yun Sing Koh, Kelly Blincoe
2021 — conf
Evaluating Unsupervised Text Embeddings on Software User Feedback.
RE Workshops
Peter Devine, Yun Sing Koh, Kelly Blincoe
2021 A* conf
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information.
ICDE
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
2021 A* ed.
IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021
ICDM
James Bailey, Pauli Miettinen, Yun Sing Koh, Dacheng Tao, Xindong Wu
2021 B conf
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams.
IJCNN
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
2021 J jnl
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.
Data Min. Knowl. Discov.
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet
2021 C conf
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams.
ACML
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
2021 — conf
Understanding the Effects of Mitigation on De-identified Data.
IEA/AIE (1)
Andrew Chester, Yun Sing Koh, Junjae Lee
2020 — conf
Balancing Utility and Fairness against Privacy in Medical Data.
SSCI
Andrew Chester, Yun Sing Koh, Jörg Wicker, Quan Sun, Junjae Lee
2020 A* conf
Detecting Concept Drift In Medical Triage.
SIGIR
Hamish Huggard, Yun Sing Koh, Gillian Dobbie, Edmond Zhang
2020 B conf
Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text.
DSAA
Balkaran Singh, Quan Sun, Yun Sing Koh, Junjae Lee, Edmond Zhang
2020 — conf
Feature Drift Detection in Evolving Data Streams.
DEXA (2)
Di Zhao, Yun Sing Koh
2020 B conf
GPU-based State Adaptive Random Forest for Evolving Data Streams.
IJCNN
Ocean Wu, Yun Sing Koh, Giovanni Russello
2020 — conf
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams.
PAKDD (2)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
2020 J jnl
Real-time Smartphone Activity Classification Using Inertial Sensors - Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking.
Sensors
Sijie Zhuo, Lucas Sherlock, Gillian Dobbie, Yun Sing Koh, Giovanni Russello, Danielle M. Lottridge
2020 A* conf
SLED: Semi-supervised Locally-weighted Ensemble Detector.
ICDE
Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh
2020 J jnl
Towards Knowledgeable Supervised Lifelong Learning Systems.
J. Artif. Intell. Res.
Diana Benavides Prado, Yun Sing Koh, Patricia Riddle
2019 — conf
Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams.
PRICAI (2)
Feiyang Tang, David Tse Jung Huang, Yun Sing Koh, Philippe Fournier-Viger
2019 Misc conf
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift.
AusDM
Robert Anderson, Yun Sing Koh, Gillian Dobbie
2019 Misc ed.
Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28-30, 2018, Revised Selected Papers
AusDM
Md. Rafiqul Islam, Yun Sing Koh, Yanchang Zhao, Warwick Graco, David Stirling, Chang-Tsun Li, Md Zahidul Islam
2019 — conf
Feature Importance for Biomedical Named Entity Recognition.
Australasian Conference on Artificial Intelligence
Hamish Huggard, Aaron Zhang, Edmond Zhang, Yun Sing Koh
2019 J jnl
Identifying Top-
ACM Comput. Surv.
Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli
2019 C conf
Investigating the effect of novel classes in semi-supervised learning.
ACML
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer
2019 Misc conf
Items2Data: Generating Synthetic Boolean Datasets from Itemsets.
ADC
Ian Shane Wong, Gillian Dobbie, Yun Sing Koh
2019 J jnl
Mining local and peak high utility itemsets.
Inf. Sci.
Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh
2019 A* conf
Network Embedding and Change Modeling in Dynamic Heterogeneous Networks.
SIGIR
Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli
2019 J jnl
Recurring Concept Meta-learning for Evolving Data Streams.
CoRR
Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet
2019 J jnl
Recurring concept meta-learning for evolving data streams.
Expert Syst. Appl.
Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet
2019 B conf
Selective Hypothesis Transfer for Lifelong Learning.
IJCNN
Diana Benavides Prado, Yun Sing Koh, Patricia Riddle
2019 — conf
Supervised Clinical Abbreviations Detection and Normalisation Approach.
PRICAI (3)
Xiaolong Huang, Edmond Zhang, Yun Sing Koh
2019 Misc conf
Using Transfer Learning to Detect Phishing in Countries with a Small Population.
AusDM
Wernsen Wong, Yun Sing Koh, Gillian Dobbie
2018 — conf
Concept Drift Detector Selection for Hoeffding Adaptive Trees.
Australasian Conference on Artificial Intelligence
Moana Stirling, Yun Sing Koh, Philippe Fournier-Viger, Sri Devi Ravana
2018 C conf
Discovering High Utility Change Points in Customer Transaction Data.
ADMA
Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Yun Sing Koh
2018 J jnl
Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment.
Aslib J. Inf. Manag.
Prabha Rajagopal, Sri Devi Ravana, Yun Sing Koh, Vimala Balakrishnan
2018 Misc conf
Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle.
AusDM
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
2018 — conf
Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection.
Australasian Conference on Artificial Intelligence
Robert Anderson, Yun Sing Koh, Gillian Dobbie
2018 — conf
Mining Local High Utility Itemsets.
DEXA (2)
Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh
2018 — conf
OHC: Uncovering Overlapping Heterogeneous Communities.
Australasian Conference on Artificial Intelligence
Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli
2018 Misc conf
Predicting Air Quality from Low-Cost Sensor Measurements.
AusDM
Hamish Huggard, Yun Sing Koh, Patricia Riddle, Gustavo Olivares
2018 B conf
Predicting Concept Drift in Data Streams Using Metadata Clustering.
IJCNN
Robert Anderson, Yun Sing Koh, Gillian Dobbie
2018 — conf
Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems.
ECML/PKDD (1)
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer
2018 Misc conf
Vehicle emission prediction using remote sensing data and machine learning techniques.
SAC
Jiazhen Chen, Gillian Dobbie, Yun Sing Koh, Elizabeth Somervell, Gustavo Olivares
2018 A* conf
Volatility Drift Prediction for Transactional Data Streams.
ICDM
Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie
2017 A* conf
AccGenSVM: Selectively Transferring from Previous Hypotheses.
IJCAI
Diana Benavides Prado, Yun Sing Koh, Patricia Riddle
2017 J jnl
Effects of objective and subjective competence on the reliability of crowdsourced relevance judgments.
Inf. Res.
Parnia Samimi, Sri Devi Ravana, William Webber, Yun Sing Koh
2017 — conf
Volatility Adaptive Classifier System.
PAKDD (1)
Ruolin Jia, Yun Sing Koh, Gillian Dobbie
2017 — conf
mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets.
PAKDD (2)
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle
2016 B conf
CD-TDS: Change detection in transactional data streams for frequent pattern mining.
IJCNN
Yun Sing Koh
2016 — conf
CPF: Concept Profiling Framework for Recurring Drifts in Data Streams.
Australasian Conference on Artificial Intelligence
Robert Anderson, Yun Sing Koh, Gillian Dobbie
2016 J jnl
Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments.
Comput. Hum. Behav.
Parnia Samimi, Sri Devi Ravana, Yun Sing Koh
2016 — conf
Phishing Detection on Twitter Streams.
PAKDD Workshops
Se Yeong Jeong, Yun Sing Koh, Gillian Dobbie
2016 B conf
Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks.
IJCNN
Kylie Chen, Yun Sing Koh, Patricia Riddle
2016 J jnl
Unsupervised Rare Pattern Mining: A Survey.
ACM Trans. Knowl. Discov. Data
Yun Sing Koh, Sri Devi Ravana
2015 J jnl
A graph based approach to inferring item weights for pattern mining.
Expert Syst. Appl.
Russel Pears, Songwut Pisalpanus, Yun Sing Koh
2015 — conf
Drift Detection Using Stream Volatility.
ECML/PKDD (1)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet
2015 B conf
HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values.
DaWaK
Yun Sing Koh, Russel Pears
2015 J jnl
Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants.
Trans. Large Scale Data Knowl. Centered Syst.
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
2015 B conf
StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams.
DaWaK
Robert Anderson, Yun Sing Koh
2015 — conf
Tracking Drift Severity in Data Streams.
Australasian Conference on Artificial Intelligence
Kylie Chen, Yun Sing Koh, Patricia Riddle
2015 B conf
Unsupervised Semantic and Syntactic Based Classification of Scientific Citations.
DaWaK
Mohammad Abdullatif, Yun Sing Koh, Gillian Dobbie
2014 B conf
Attack detection in recommender systems based on target item analysis.
IJCNN
Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie
2014 — conf
Detecting Changes in Rare Patterns from Data Streams.
PAKDD (2)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
2014 A* conf
Detecting Volatility Shift in Data Streams.
ICDM
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
2014 J jnl
Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling.
Mach. Learn.
Russel Pears, Sripirakas Sakthithasan, Yun Sing Koh
2014 J jnl
Detecting online auction shilling frauds using supervised learning.
Expert Syst. Appl.
Sidney Tsang, Yun Sing Koh, Gillian Dobbie, Shafiq Alam
2014 A* conf
Detection of abnormal profiles on group attacks in recommender systems.
SIGIR
Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie
2014 B conf
Drift Detector for Memory-Constrained Environments.
DaWaK
Timothy D. Robinson, David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
2014 J jnl
Efficient negative association rule mining based on chance thresholds.
Intell. Data Anal.
Yun Sing Koh, Russel Pears
2014 J jnl
Research on particle swarm optimization based clustering: A systematic review of literature and techniques.
Swarm Evol. Comput.
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle, Saeed Ur Rehman
2014 J jnl
SPAN: Finding collaborative frauds in online auctions.
Knowl. Based Syst.
Sidney Tsang, Yun Sing Koh, Gillian Dobbie, Shafiq Alam
2014 B conf
Web bots detection using Particle Swarm Optimization based clustering.
IEEE Congress on Evolutionary Computation
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle
2014 J jnl
Web usage mining based recommender systems using implicit heterogeneous data: - A Particle Swarm Optimization based clustering approach.
Web Intell. Agent Syst.
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle
2013 — conf
Analysis of Web Usage Data for Clustering Based Recommender System.
PAAMS (Special Sessions)
Shafiq Alam, Gillian Dobbie, Patricia Riddle, Yun Sing Koh
2013 — conf
Change Itemset Mining in Data Streams.
ADMA (1)
Minmin Zhang, Gillian Dobbie, Yun Sing Koh
2013 — conf
Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization.
SIS
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle
2013 J jnl
Efficient Single Pass Ordered Incremental Pattern Mining.
Trans. Large Scale Data Knowl. Centered Syst.
Yun Sing Koh, Gillian Dobbie
2013 J jnl
Finding Interesting Rare Association Rules Using Rare Pattern Tree.
Trans. Large Scale Data Knowl. Centered Syst.
Sidney Tsang, Yun Sing Koh, Gillian Dobbie
2013 B conf
Finding Maximal Overlapping Communities.
DaWaK
Eileen H.-C. Wei, Yun Sing Koh, Gillian Dobbie
2013 — conf
One Pass Concept Change Detection for Data Streams.
PAKDD (2)
Sripirakas Sakthithasan, Russel Pears, Yun Sing Koh
2013 — conf
Tracking Drift Types in Changing Data Streams.
ADMA (1)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
2013 — conf
Verb selection using semantic role labeling for citation classification.
CompSci@CIKM
Mohammad Abdullatif, Yun Sing Koh, Gillian Dobbie, Shafiq Alam
2013 J jnl
Weighted association rule mining via a graph based connectivity model.
Inf. Sci.
Russel Pears, Yun Sing Koh, Gillian Dobbie, Wai K. Yeap
2012 — conf
Evaluating Fraud Detection Algorithms Using an Auction Data Generator.
ICDM Workshops
Sidney Tsang, Gillian Dobbie, Yun Sing Koh
2012 B conf
Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model.
DaWaK
Yun Sing Koh, Russel Pears, Gillian Dobbie
2012 — conf
Generating Realistic Online Auction Data.
Australasian Conference on Artificial Intelligence
Sidney Tsang, Gillian Dobbie, Yun Sing Koh
2012 B conf
Hierarchical PSO clustering based recommender system.
IEEE Congress on Evolutionary Computation
Shafiq Alam, Gillian Dobbie, Patricia Riddle, Yun Sing Koh
2012 Misc conf
Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations.
AusDM
Yun Sing Koh, Gillian Dobbie
2012 — conf
Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support.
Australasian Conference on Artificial Intelligence
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
2012 — ed.
New Frontiers in Applied Data Mining - PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers
PAKDD Workshops
Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh, Jun Luo
2012 B conf
Rare Pattern Mining on Data Streams.
DaWaK
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
2012 — conf
WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights.
PAKDD (2)
Yun Sing Koh, Russel Pears, Gillian Dobbie
2011 — conf
Automatic Assignment of Item Weights for Pattern Mining on Data Streams.
PAKDD (1)
Yun Sing Koh, Russel Pears, Gillian Dobbie
2011 J jnl
Automatic Item Weight Generation for Pattern Mining and its Application.
Int. J. Data Warehous. Min.
Yun Sing Koh, Russel Pears, Gillian Dobbie
2011 — conf
Discriminatory Confidence Analysis in Pattern Mining.
ADMA (1)
Russel Pears, Yun Sing Koh, Gillian Dobbie
2011 B conf
RP-Tree: Rare Pattern Tree Mining.
DaWaK
Sidney Tsang, Yun Sing Koh, Gillian Dobbie
2011 B conf
SPO-Tree: Efficient Single Pass Ordered Incremental Pattern Mining.
DaWaK
Yun Sing Koh, Gillian Dobbie
2011 — conf
Weighted Association Rule Mining Using Particle Swarm Optimization.
PAKDD Workshops
Russel Pears, Yun Sing Koh
2010 — conf
EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining.
ADMA (1)
Russel Pears, Yun Sing Koh, Gillian Dobbie
2010 — conf
Valency Based Weighted Association Rule Mining.
PAKDD (1)
Yun Sing Koh, Russel Pears, Wai-Kiang Yeap
2009 B conf
CBDT: A Concept Based Approach to Data Stream Mining.
PAKDD
Stefan Hoeglinger, Russel Pears, Yun Sing Koh
2009 Misc conf
Non-Redundant Rare Itemset Generation.
AusDM
Yun Sing Koh, Russel Pears
2008 J jnl
Finding sporadic rules in the diagnosis of the Erythemato-Squamous diseases.
Intell. Data Anal.
Yun Sing Koh
2008 B conf
Mining Non-coincidental Rules without a User Defined Support Threshold.
PAKDD
Yun Sing Koh
2008 J jnl
Mining interesting imperfectly sporadic rules.
Knowl. Inf. Syst.
Yun Sing Koh, Nathan Rountree, Richard A. O'Keefe
2008 Misc conf
Rare Association Rule Mining via Transaction Clustering.
AusDM
Yun Sing Koh, Russel Pears
2008 B conf
Transaction Clustering Using a Seeds Based Approach.
PAKDD
Yun Sing Koh, Russel Pears
2007 — conf
Efficiently Finding Negative Association Rules Without Support Threshold.
Australian Conference on Artificial Intelligence
Yun Sing Koh, Russel Pears
2006 J jnl
Finding Non-Coincidental Sporadic Rules Using Apriori-Inverse.
Int. J. Data Warehous. Min.
Yun Sing Koh, Nathan Rountree, Richard A. O'Keefe
2006 B conf
Mining Interesting Imperfectly Sporadic Rules.
PAKDD
Yun Sing Koh, Nathan Rountree, Richard A. O'Keefe
2005 B conf
Finding Sporadic Rules Using Apriori-Inverse.
PAKDD
Yun Sing Koh, Nathan Rountree