| 2026 | KDD | AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging. | Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle |
| 2025 | GECCO | PropNEAT - Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks. | Michael Merry, Patricia Riddle, James R. Warren |
| 2025 | SoCS | A Problem with the Current Methodology for Comparing Search Algorithms and a Proposed Solution. | Michael W. Barley, Natasha de Kriek, Santiago Franco, Angel Garca Olaya, Tim Hartill, Christopher M. Triggs, Henry Zwart, Vidal Alczar, Patricia Riddle |
| 2024 | CIKM | Periormer: Periodic Transformer for Seasonal and Irregularly Sampled Time Series. | Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle, Lianyan Li |
| 2023 | ICDE | FALL: A Modular Adaptive Learning Platform for Streaming Data. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet |
| 2022 | COLING | Prompt-based Conservation Learning for Multi-hop Question Answering. | Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle |
| 2022 | DSAA | A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet |
| 2022 | IJCAI | Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. | Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle |
| 2022 | PAKDD | Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias. | Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jrg Wicker |
| 2021 | DSAA | 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 |
| 2021 | ICDE | Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears |
| 2020 | ICDM | Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. | Katharina Dost, Katerina Taskova, Patricia Riddle, Jrg Wicker |
| 2019 | ACML | Investigating the effect of novel classes in semi-supervised learning. | Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer |
| 2019 | IJCNN | Selective Hypothesis Transfer for Lifelong Learning. | Diana Benavides Prado, Yun Sing Koh, Patricia Riddle |
| 2018 | AusDM | Predicting Air Quality from Low-Cost Sensor Measurements. | Hamish Huggard, Yun Sing Koh, Patricia Riddle, Gustavo Olivares |
| 2017 | IJCAI | AccGenSVM: Selectively Transferring from Previous Hypotheses. | Diana Benavides Prado, Yun Sing Koh, Patricia Riddle |
| 2017 | PAKDD | mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets. | Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle |
| 2016 | IJCNN | Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks. | Kylie Chen, Yun Sing Koh, Patricia Riddle |
| 2016 | SSPR | Markov-Gibbs Texture Modelling with Learnt Freeform Filters. | Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle |
| 2015 | IVCNZ | Texture modelling with non-contiguous filters. | Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle |
| 2014 | CBMS | Profiling Cardiovascular Disease Event Risk through Clustering of Classification Association Rules. | Shen Song, Jim Warren, Patricia Riddle |
| 2014 | CEC | Web bots detection using Particle Swarm Optimization based clustering. | Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle |
| 2014 | IVCNZ | Learning High-order Generative Texture Models. | Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle |
| 2013 | ESEM | Using Ensembles for Web Effort Estimation. | Damir Azhar, Patricia Riddle, Emilia Mendes, Nikolaos Mittas, Lefteris Angelis |
| 2013 | IVCNZ | Learning generic third-order MGRF texture models. | Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle |
| 2013 | PAAMS | Analysis of Web Usage Data for Clustering Based Recommender System. | Shafiq Alam, Gillian Dobbie, Patricia Riddle, Yun Sing Koh |
| 2012 | CEC | Hierarchical PSO clustering based recommender system. | Shafiq Alam, Gillian Dobbie, Patricia Riddle, Yun Sing Koh |
| 2011 | PAKDD | Towards Recommender System Using Particle Swarm Optimization Based Web Usage Clustering. | Shafiq Alam, Gillian Dobbie, Patricia Riddle |
| 2010 | ACIVS | Constraint Optimisation for Robust Image Matching with Inhomogeneous Photometric Variations and Affine Noise. | Al Shorin, Georgy L. Gimel'farb, Patrice Delmas, Patricia Riddle |
| 2010 | CEC | A swarm intelligence based clustering approach for outlier detection. | Shafiq Alam, Gillian Dobbie, Patricia Riddle, Muhammad Asif Naeem |
| 2008 | ICASSP | Modelling and synthesising F0 contours with the discrete cosine transform. | Jonathan Teutenberg, Catherine Inez Watson, Patricia Riddle |