Membership Inference via backdooring
International Joint Conference on Artificial Intelligence, 2022
Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang
Semi-Supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation
Association for the Advancement of Artificial Intelligence, 2022
Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz Lehmann
Probabilistic Exact Adaptive Random Forest for Recurrent Concepts in Data Streams
International Journal of Data Science and Analytics, 2022
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
B model quality assessments on automated reachability repair with ISO/IEC 25010
Science of Computer Programming, 2022
Cheng-Hao Cai, Jing Sun, Gillian Dobbie
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams
Asian Conference on Machine Learning, 2021
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech
Interspeech, 2021
Aaron Keesing, Yun Sing Koh, Michael Witbrock
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams
International Joint Conference on Neural Networks, 2021
Thomas Lacombe, Yun Sing Koh, Gillian Dobbie, Ocean Wu
Continual Correction of Errors Using Smart Memory Replay
International Joint Conference on Neural Networks, 2021
Callum Cory, Diana Benavides-Prado, Yun Sing Koh
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams
International Joint Conference on Neural Networks, 2021
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification
Machine Learning, 2021
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
Recurring Concept Memory Management in Data Streams: Exploiting Data Stream Concept Evolution to Improve Performance and Transparency
Data Mining and Knowledge Discovery, 2021
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information
IEEE 37th International Conference on Data Engineering, 2021
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
Feature Drift Detection in Evolving Data Streams
International Conference on Database and Expert Systems Applications, 2020
Di Zhao, Yun Sing Koh
GPU-based State Adaptive Random Forest for Evolving Data Streams
International Joint Conference on Neural Networks, 2020
Ocean Wu, Yun Sing Koh, Giovanni Russello
Pearl: Probabilistic exact adaptive random forest with lossy counting for data streams
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2020
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
SLED: Semi-supervised Locally-weighted Ensemble Detector
36th International Conference on Data Engineering, 2020
Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh
Using Transfer Learning to Detect Phishing in Countries with a Small Population
Australasian Conference on Data Mining, 2019
Wernsen Wong, Yun Sing Koh, Gillian Dobbie