Patricia Riddle

60 papers A* 5A 3B 9C 1Misc 5Journal 17Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging. KDD (1) Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle
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
2025	J	`jnl`	AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging. CoRR Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle
2025	A	`conf`	PropNEAT - Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks. GECCO Michael Merry, Patricia Riddle, James R. Warren
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`	Forecasting severe respiratory disease hospitalizations using machine learning algorithms. BMC Medical Informatics Decis. Mak. Steffen Albrecht, David Broderick, Katharina Dost, Isabella Cheung, Nhung Nghiem, Milton Wu, Johnny Zhu, Nooriyan Poonawala-Lohani, Sarah Jamison, Damayanthi Rasanathan, Sue Huang, Adrian Trenholme, Alicia Stanley, Shirley Lawrence, Samantha Marsh, Lorraine Castelino, Janine Paynter, Nikki Turner, Peter McIntyre, Patricia Riddle, Cameron Grant, Gillian Dobbie, Jörg Simon Wicker
2024	A	`conf`	Periormer: Periodic Transformer for Seasonal and Irregularly Sampled Time Series. CIKM Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle, Lianyan Li
2024	J	`jnl`	PropNEAT - Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks. CoRR Michael Merry, Patricia Riddle, James R. Warren
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`	FALL: A Modular Adaptive Learning Platform for Streaming Data. ICDE Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
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	—	`conf`	A Theory for Knowledge Transfer in Continual Learning. CoLLAs Diana Benavides Prado, Patricia Riddle
2022	J	`jnl`	A Theory for Knowledge Transfer in Continual Learning. CoRR Diana Benavides Prado, Patricia Riddle
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	—	`conf`	Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias. PAKDD (2) Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jörg Wicker
2022	—	`conf`	Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness. BCB Nooriyan Poonawala-Lohani, Patricia Riddle, Mehnaz Adnan, Jörg Wicker
2022	A*	`conf`	Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. IJCAI Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle
2022	J	`jnl`	Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. CoRR Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle
2022	B	`conf`	Prompt-based Conservation Learning for Multi-hop Question Answering. COLING Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle
2022	J	`jnl`	Prompt-based Conservation Learning for Multi-hop Question Answering. CoRR Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle
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	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	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
2020	J	`jnl`	Towards Knowledgeable Supervised Lifelong Learning Systems. J. Artif. Intell. Res. Diana Benavides Prado, Yun Sing Koh, Patricia Riddle
2020	A*	`conf`	Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. ICDM Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker
2019	—	`conf`	Health Consumer Usage Patterns in Management of CVD using Data Mining Techniques. ACSW Devipriyaa Nagappan, Jim Warren, Patricia Riddle
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	—	`conf`	Multivariate Sequential Analytics for Treatment Trajectory Forecasting. ACSW William Hsu, Jim Warren, Patricia Riddle
2019	B	`conf`	Selective Hypothesis Transfer for Lifelong Learning. IJCNN Diana Benavides Prado, Yun Sing Koh, Patricia Riddle
2018	Misc	`conf`	Predicting Air Quality from Low-Cost Sensor Measurements. AusDM Hamish Huggard, Yun Sing Koh, Patricia Riddle, Gustavo Olivares
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
2017	A*	`conf`	AccGenSVM: Selectively Transferring from Previous Hypotheses. IJCAI Diana Benavides Prado, Yun Sing Koh, Patricia Riddle
2017	—	`conf`	mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets. PAKDD (2) Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle
2016	—	`conf`	Markov-Gibbs Texture Modelling with Learnt Freeform Filters. S+SSPR Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle
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`	Texture modelling with nested high-order Markov-Gibbs random fields. Comput. Vis. Image Underst. Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle
2015	J	`jnl`	Texture Modelling with Nested High-order Markov-Gibbs Random Fields. CoRR Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle
2015	Misc	`conf`	Texture modelling with non-contiguous filters. IVCNZ Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle
2015	—	`conf`	Tracking Drift Severity in Data Streams. Australasian Conference on Artificial Intelligence Kylie Chen, Yun Sing Koh, Patricia Riddle
2014	Misc	`conf`	Learning High-order Generative Texture Models. IVCNZ Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle
2014	B	`conf`	Profiling Cardiovascular Disease Event Risk through Clustering of Classification Association Rules. CBMS Shen Song, Jim Warren, Patricia Riddle
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	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`	Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization. SIS Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle
2013	Misc	`conf`	Learning generic third-order MGRF texture models. IVCNZ Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle
2013	A	`conf`	Using Ensembles for Web Effort Estimation. ESEM Damir Azhar, Patricia Riddle, Emilia Mendes, Nikolaos Mittas, Lefteris Angelis
2012	—	`conf`	A systematic review of web resource estimation. PROMISE Damir Azhar, Emilia Mendes, Patricia Riddle
2012	B	`conf`	Hierarchical PSO clustering based recommender system. IEEE Congress on Evolutionary Computation Shafiq Alam, Gillian Dobbie, Patricia Riddle, Yun Sing Koh
2011	—	`conf`	Towards Recommender System Using Particle Swarm Optimization Based Web Usage Clustering. PAKDD Workshops Shafiq Alam, Gillian Dobbie, Patricia Riddle
2010	B	`conf`	A swarm intelligence based clustering approach for outlier detection. IEEE Congress on Evolutionary Computation Shafiq Alam, Gillian Dobbie, Patricia Riddle, Muhammad Asif Naeem
2010	—	`conf`	Constraint Optimisation for Robust Image Matching with Inhomogeneous Photometric Variations and Affine Noise. ACIVS (1) Al Shorin, Georgy L. Gimel'farb, Patrice Delmas, Patricia Riddle
2010	—	`conf`	Particle Swarm Optimization Based Hierarchical Agglomerative Clustering. IAT Shafiq Alam, Gillian Dobbie, Patricia Riddle, Muhammad Asif Naeem
2010	J	`jnl`	Semantic Space models for classification of consumer webpages on metadata attributes. J. Biomed. Informatics Guocai Chen, Jim Warren, Patricia Riddle
2009	—	`ch.`	Exploiting Swarm Behaviour of Simple Agents for Clustering Web Users' Session Data. Data Mining and Multi-agent Integration Shafiq Alam, Gillian Dobbie, Patricia Riddle
2008	—	`conf`	An Evolutionary Particle Swarm Optimization algorithm for data clustering. SIS Shafiq Alam, Gillian Dobbie, Patricia Riddle
2008	Misc	`conf`	Modelling and synthesising F0 contours with the discrete cosine transform. ICASSP Jonathan Teutenberg, Catherine Inez Watson, Patricia Riddle
2008	—	`conf`	Particle Swarm Optimization Based Clustering of Web Usage Data. Web Intelligence/IAT Workshops Shafiq Alam, Gillian Dobbie, Patricia Riddle
2003	—	`conf`	Evolving controllers for virtual creature locomotion. GRAPHITE Michael Sanders, Richard Lobb, Patricia Riddle