Geoffrey I. Webb

357 papers A* 33A 10B 16C 5Misc 4Journal 206Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification. CoRR Matthew Middlehurst, Aiden Rushbrooke, Ali Ismail-Fawaz, Maxime Devanne, Germain Forestier, Angus Dempster, Geoffrey I. Webb, Christopher Holder, Anthony J. Bagnall
2025	J	`jnl`	CARLA: Self-supervised contrastive representation learning for time series anomaly detection. Pattern Recognit. Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi
2025	J	`jnl`	CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection. CoRR Zahra Zamanzadeh Darban, Qizhou Wang, Charu C. Aggarwal, Geoffrey I. Webb, Ehsan Abbasnejad, Mahsa Salehi
2025	J	`jnl`	DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series. IEEE Trans. Knowl. Data Eng. Zahra Zamanzadeh Darban, Yiyuan Yang, Geoffrey I. Webb, Charu C. Aggarwal, Qingsong Wen, Shirui Pan, Mahsa Salehi
2025	J	`jnl`	Deep Learning for Time Series Anomaly Detection: A Survey. ACM Comput. Surv. Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu Aggarwal, Mahsa Salehi
2025	J	`jnl`	Dual-View Learning from Crowds. ACM Trans. Knowl. Discov. Data Huan Zhang, Liangxiao Jiang, Wenjun Zhang, Geoffrey I. Webb
2025	J	`jnl`	EEG-X: Device-Agnostic and Noise-Robust Foundation Model for EEG. CoRR Navid Mohammadi Foumani, Soheila Ghane, Nam Nguyen, Mahsa Salehi, Geoffrey I. Webb, Geoffrey Mackellar
2025	J	`jnl`	EHR-ML: A data-driven framework for designing machine learning applications with electronic health records. Int. J. Medical Informatics Yashpal Ramakrishnaiah, Nenad Macesic, Geoffrey I. Webb, Anton Y. Peleg, Sonika Tyagi
2025	J	`jnl`	Efficient Parameter Estimation for Bayesian Network Classifiers using Hierarchical Linear Smoothing. CoRR Connor Cooper, Geoffrey I. Webb, Daniel F. Schmidt
2025	J	`jnl`	GenIAS: Generator for Instantiating Anomalies in time Series. CoRR Zahra Zamanzadeh Darban, Qizhou Wang, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi
2025	J	`jnl`	Interpretable Representation Learning for Additive Rule Ensembles. CoRR Shahrzad Behzadimanesh, Pierre Le Bodic, Geoffrey I. Webb, Mario Boley
2025	J	`jnl`	Large language models for drug discovery and development. Patterns Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Madeleine Yang, Lauren T. May, Geoffrey I. Webb, Li Li, Shirui Pan, George Church
2025	J	`jnl`	Large language models for scientific discovery in molecular property prediction. Nat. Mac. Intell. Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan
2025	A*	`conf`	Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning. AAAI Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp
2025	J	`jnl`	MONSTER: Monash Scalable Time Series Evaluation Repository. CoRR Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb
2025	J	`jnl`	MONSTER: Monash Scalable Time Series Evaluation Repository. J. Data-centric Mach. Learn. Res. Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb
2025	J	`jnl`	Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series. Data Min. Knowl. Discov. Chang Wei Tan, Matthieu Herrmann, Mahsa Salehi, Geoffrey I. Webb
2025	J	`jnl`	SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic Residues and Assess Enzyme Mutations. Genom. Proteom. Bioinform. Tong Pan, Yue Bi, Xiaoyu Wang, Ying Zhang, Geoffrey I. Webb, Robin B. Gasser, Lukasz A. Kurgan, Jiangning Song
2025	J	`jnl`	Time series adversarial attacks: an investigation of smooth perturbations and defense approaches. Int. J. Data Sci. Anal. Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier
2025	J	`jnl`	Towards the Next-generation Bayesian Network Classifiers. CoRR Huan Zhang, Daokun Zhang, Kexin Meng, Geoffrey I. Webb
2025	J	`jnl`	Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach. CoRR Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang
2025	J	`jnl`	Uncertainty-Aware Graph Neural Networks: A Multihop Evidence Fusion Approach. IEEE Trans. Neural Networks Learn. Syst. Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang
2024	A*	`conf`	A Hands-on Introduction to Time Series Classification and Regression. KDD Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb
2024	J	`jnl`	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
2024	—	`ed.`	AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part I AI (1) Tongliang Liu, Geoffrey I. Webb, Lin Yue, Dadong Wang
2024	—	`ed.`	AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part II AI (2) Tongliang Liu, Geoffrey I. Webb, Lin Yue, Dadong Wang
2024	J	`jnl`	Computing marginal and conditional divergences between decomposable models with applications in quantum computing and earth observation. Knowl. Inf. Syst. Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski
2024	J	`jnl`	DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series. CoRR Zahra Zamanzadeh Darban, Geoffrey I. Webb, Mahsa Salehi
2024	J	`jnl`	Deep Learning for Satellite Image Time Series Analysis: A Review. CoRR Lynn Miller, Charlotte Pelletier, Geoffrey I. Webb
2024	J	`jnl`	Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. ACM Comput. Surv. Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
2024	J	`jnl`	GraphormerDTI: A graph transformer-based approach for drug-target interaction prediction. Comput. Biol. Medicine Mengmeng Gao, Daokun Zhang, Yi Chen, Yiwen Zhang, Zhikang Wang, Xiaoyu Wang, Shanshan Li, Yuming Guo, Geoffrey I. Webb, Anh T. N. Nguyen, Lauren T. May, Jiangning Song
2024	—	`conf`	Highly Scalable Time Series Classification for Very Large Datasets. AALTD@ECML/PKDD Angus Dempster, Chang Wei Tan, Lynn Miller, Navid Mohammadi Foumani, Daniel F. Schmidt, Geoffrey I. Webb
2024	J	`jnl`	Improving position encoding of transformers for multivariate time series classification. Data Min. Knowl. Discov. Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
2024	J	`jnl`	Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials. CoRR Yizhen Zheng, Huan Yee Koh, Maddie Yang, Li Li, Lauren T. May, Geoffrey I. Webb, Shirui Pan, George Church
2024	A	`conf`	Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CIKM Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan
2024	J	`jnl`	Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CoRR Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan
2024	J	`jnl`	Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data. Nat. Mac. Intell. Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan, Lauren T. May, Geoffrey I. Webb
2024	J	`jnl`	Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data. CoRR Angus Dempster, Geoffrey I. Webb, Daniel F. Schmidt
2024	J	`jnl`	Series2vec: similarity-based self-supervised representation learning for time series classification. Data Min. Knowl. Discov. Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
2024	J	`jnl`	quant: a minimalist interval method for time series classification. Data Min. Knowl. Discov. Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
2023	J	`jnl`	A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping. Mach. Learn. Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean
2023	J	`jnl`	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
2023	J	`jnl`	Amercing: An intuitive and effective constraint for dynamic time warping. Pattern Recognit. Matthieu Herrmann, Geoffrey I. Webb
2023	J	`jnl`	An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set. CoRR Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan, Matthieu Herrmann, Lynn Miller, Daniel F. Schmidt, Stefano Berretti, Jonathan Weber, Maxime Devanne, Germain Forestier, Geoffrey I. Webb
2023	J	`jnl`	CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection. CoRR Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Mahsa Salehi
2023	A*	`conf`	Computing Divergences between Discrete Decomposable Models. AAAI Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb
2023	A*	`conf`	Computing Marginal and Conditional Divergences between Decomposable Models with Applications. ICDM Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski
2023	J	`jnl`	Computing Marginal and Conditional Divergences between Decomposable Models with Applications. CoRR Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski
2023	J	`jnl`	Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. CoRR Seyed Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
2023	J	`jnl`	EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes. J. Biomed. Informatics Yashpal Ramakrishnaiah, Nenad Macesic, Geoffrey I. Webb, Anton Y. Peleg, Sonika Tyagi
2023	J	`jnl`	Elastic similarity and distance measures for multivariate time series. Knowl. Inf. Syst. Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb
2023	J	`jnl`	Hydra: competing convolutional kernels for fast and accurate time series classification. Data Min. Knowl. Discov. Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
2023	J	`jnl`	Improving Position Encoding of Transformers for Multivariate Time Series Classification. CoRR Seyed Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
2023	J	`jnl`	Large Language Models for Scientific Synthesis, Inference and Explanation. CoRR Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan
2023	J	`jnl`	PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships. Bioinform. Tong Pan, Chen Li, Yue Bi, Zhikang Wang, Robin B. Gasser, Anthony W. Purcell, Tatsuya Akutsu, Geoffrey I. Webb, Seiya Imoto, Jiangning Song
2023	J	`jnl`	Parameterizing the cost function of Dynamic Time Warping with application to time series classification. CoRR Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb
2023	J	`jnl`	Parameterizing the cost function of dynamic time warping with application to time series classification. Data Min. Knowl. Discov. Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb
2023	J	`jnl`	Protecting Sensitive Data through Federated Co-Training. CoRR Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp
2023	J	`jnl`	Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series. CoRR Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb
2023	J	`jnl`	QUANT: A Minimalist Interval Method for Time Series Classification. CoRR Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
2023	C	`conf`	Rapid Identification of Protein Formulations with Bayesian Optimisation. ICMLA Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti
2023	J	`jnl`	Rigorous non-disjoint discretization for naive Bayes. Pattern Recognit. Huan Zhang, Liangxiao Jiang, Geoffrey I. Webb
2023	J	`jnl`	SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting. Mach. Learn. Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir
2023	J	`jnl`	Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification. CoRR Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
2023	—	`conf`	ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging. AALTD@ECML/PKDD Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier
2023	J	`jnl`	ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging. CoRR Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier
2023	J	`jnl`	TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters. Briefings Bioinform. Yan Zhu, Fuyi Li, Xudong Guo, Xiaoyu Wang, Lachlan J. M. Coin, Geoffrey I. Webb, Jiangning Song, Cangzhi Jia
2023	J	`jnl`	Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification. Knowl. Inf. Syst. Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb
2022	J	`jnl`	ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning. Briefings Bioinform. Xiaoyu Wang, Fuyi Li, Jing Xu, Jia Rong, Geoffrey I. Webb, Zongyuan Ge, Jian Li, Jiangning Song
2022	J	`jnl`	An eager splitting strategy for online decision trees in ensembles. Data Min. Knowl. Discov. Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
2022	J	`jnl`	Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations. Briefings Bioinform. Yue Bi, Fuyi Li, Xudong Guo, Zhikang Wang, Tong Pan, Yuming Guo, Geoffrey I. Webb, Jianhua Yao, Cangzhi Jia, Jiangning Song
2022	J	`jnl`	Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction. Briefings Bioinform. Meng Zhang, Cangzhi Jia, Fuyi Li, Chen Li, Yan Zhu, Tatsuya Akutsu, Geoffrey I. Webb, Quan Zou, Lachlan J. M. Coin, Jiangning Song
2022	J	`jnl`	DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images. Bioinform. Yanan Wang, Changyuan Hu, Terry Kwok, Christopher A. Bain, Xiangyang Xue, Robin B. Gasser, Geoffrey I. Webb, Alex Boussioutas, Xian Shen, Roger J. Daly, Jiangning Song
2022	J	`jnl`	Deep Learning for Time Series Anomaly Detection: A Survey. CoRR Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi
2022	A*	`conf`	Extremely Fast Hoeffding Adaptive Tree. ICDM Chaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb
2022	J	`jnl`	HYDRA: Competing convolutional kernels for fast and accurate time series classification. CoRR Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
2022	J	`jnl`	Multi-modal temporal CNNs for live fuel moisture content estimation. Environ. Model. Softw. Lynn Miller, Liujun Zhu, Marta Yebra, Christoph Rüdiger, Geoffrey I. Webb
2022	J	`jnl`	MultiRocket: multiple pooling operators and transformations for fast and effective time series classification. Data Min. Knowl. Discov. Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb
2022	J	`jnl`	PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations. J. Chem. Inf. Model. Shahid Iqbal, Fang Ge, Fuyi Li, Tatsuya Akutsu, Yuanting Zheng, Robin B. Gasser, Dong-Jun Yu, Geoffrey I. Webb, Jiangning Song
2022	J	`jnl`	Positive-unlabeled learning in bioinformatics and computational biology: a brief review. Briefings Bioinform. Fuyi Li, Shuangyu Dong, André Leier, Meiya Han, Xudong Guo, Jing Xu, Xiaoyu Wang, Shirui Pan, Cangzhi Jia, Yang Zhang, Geoffrey I. Webb, Lachlan J. M. Coin, Chen Li, Jiangning Song
2022	J	`jnl`	Robust Variational Learning for Multiclass Kernel Models With Stein Refinement. IEEE Trans. Knowl. Data Eng. Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Geoffrey I. Webb, Dinh Phung
2022	J	`jnl`	SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting. CoRR Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir
2022	—	`conf`	Smooth Perturbations for Time Series Adversarial Attacks. PAKDD (1) Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier
2021	J	`jnl`	A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction. IEEE ACM Trans. Comput. Biol. Bioinform. Menglu Li, Yanan Wang, Fuyi Li, Yun Zhao, Mengya Liu, Sijia Zhang, Yannan Bin, Alexander Ian Smith, Geoffrey I. Webb, Jian Li, Jiangning Song, Junfeng Xia
2021	J	`jnl`	Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping. CoRR Matthieu Herrmann, Geoffrey I. Webb
2021	J	`jnl`	Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules. Briefings Bioinform. Shutao Mei, Fuyi Li, Dongxu Xiang, Rochelle Ayala, Pouya Faridi, Geoffrey I. Webb, Patricia T. Illing, Jamie Rossjohn, Tatsuya Akutsu, Nathan P. Croft, Anthony W. Purcell, Jiangning Song
2021	J	`jnl`	Assessing the performance of computational predictors for estimating protein stability changes upon missense mutations. Briefings Bioinform. Shahid Iqbal, Fuyi Li, Tatsuya Akutsu, David B. Ascher, Geoffrey I. Webb, Jiangning Song
2021	A	`conf`	Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. SDM Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb
2021	J	`jnl`	Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. CoRR Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb
2021	J	`jnl`	DeepBL: a deep learning-based approach for Briefings Bioinform. Yanan Wang, Fuyi Li, Manasa Bharathwaj, Natalia C. Rosas, André Leier, Tatsuya Akutsu, Geoffrey I. Webb, Tatiana T. Marquez-Lago, Jian Li, Trevor Lithgow, Jiangning Song
2021	J	`jnl`	Early Abandoning and Pruning for Elastic Distances. CoRR Matthieu Herrmann, Geoffrey I. Webb
2021	J	`jnl`	Early abandoning and pruning for elastic distances including dynamic time warping. Data Min. Knowl. Discov. Matthieu Herrmann, Geoffrey I. Webb
2021	J	`jnl`	Elastic Similarity Measures for Multivariate Time Series Classification. CoRR Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb
2021	J	`jnl`	Ensembles of localised models for time series forecasting. Knowl. Based Syst. Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
2021	J	`jnl`	Estimating Divergences in High Dimensions. CoRR Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb
2021	J	`jnl`	HEAL: an automated deep learning framework for cancer histopathology image analysis. Bioinform. Yanan Wang, Nicolas Coudray, Yun Zhao, Fuyi Li, Changyuan Hu, Yao-Zhong Zhang, Seiya Imoto, Aristotelis Tsirigos, Geoffrey I. Webb, Roger J. Daly, Jiangning Song
2021	A*	`conf`	MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification. KDD Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
2021	—	`conf`	Monash Time Series Forecasting Archive. NeurIPS Datasets and Benchmarks Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
2021	J	`jnl`	Monash Time Series Forecasting Archive. CoRR Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
2021	J	`jnl`	MultiRocket: Effective summary statistics for convolutional outputs in time series classification. CoRR Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb
2021	J	`jnl`	OCTID: a one-class learning-based Python package for tumor image detection. Bioinform. Yanan Wang, Litao Yang, Geoffrey I. Webb, Zongyuan Ge, Jiangning Song
2021	J	`jnl`	Tight lower bounds for Dynamic Time Warping. CoRR Geoffrey I. Webb, François Petitjean
2021	J	`jnl`	Tight lower bounds for dynamic time warping. Pattern Recognit. Geoffrey I. Webb, François Petitjean
2021	J	`jnl`	Time series extrinsic regression. Data Min. Knowl. Discov. Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2021	A*	`conf`	Ultra fast warping window optimization for Dynamic Time Warping. ICDM Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb
2020	B	`ed.`	7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020 DSAA Geoffrey I. Webb, Zhongfei Zhang, Vincent S. Tseng, Graham Williams, Michalis Vlachos, Longbing Cao
2020	J	`jnl`	A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping. CoRR Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean
2020	J	`jnl`	A Strong Baseline for Weekly Time Series Forecasting. CoRR Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso
2020	J	`jnl`	A novel selective naïve Bayes algorithm. Knowl. Based Syst. Shenglei Chen, Geoffrey I. Webb, Linyuan Liu, Xin Ma
2020	J	`jnl`	An Eager Splitting Strategy for Online Decision Trees. CoRR Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
2020	J	`jnl`	An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Nonstationary Data Streams. IEEE Trans. Fuzzy Syst. Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb
2020	J	`jnl`	Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372). Dagstuhl Reports Georg Krempl, Vera Hofer, Geoffrey I. Webb, Eyke Hüllermeier
2020	J	`jnl`	Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences. Briefings Bioinform. Zhen Chen, Pei Zhao, Fuyi Li, Yanan Wang, Alexander Ian Smith, Geoffrey I. Webb, Tatsuya Akutsu, Abdelkader Baggag, Halima Bensmail, Jiangning Song
2020	J	`jnl`	DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites. Bioinform. Fuyi Li, Jinxiang Chen, André Leier, Tatiana T. Marquez-Lago, Quanzhong Liu, Yanze Wang, Jerico Nico De Leon Revote, Alexander Ian Smith, Tatsuya Akutsu, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song
2020	J	`jnl`	Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning. CoRR Yuan Jin, Wray L. Buntine, François Petitjean, Geoffrey I. Webb
2020	J	`jnl`	Early Abandoning PrunedDTW and its application to similarity search. CoRR Matthieu Herrmann, Geoffrey I. Webb
2020	J	`jnl`	Emergent and Unspecified Behaviors in Streaming Decision Trees. CoRR Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi, Albert Bifet
2020	J	`jnl`	Ensembles of Localised Models for Time Series Forecasting. CoRR Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
2020	J	`jnl`	FastEE: Fast Ensembles of Elastic Distances for time series classification. Data Min. Knowl. Discov. Chang Wei Tan, François Petitjean, Geoffrey I. Webb
2020	J	`jnl`	InceptionTime: Finding AlexNet for time series classification. Data Min. Knowl. Discov. Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean
2020	J	`jnl`	MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification. CoRR Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
2020	J	`jnl`	Monash University, UEA, UCR Time Series Regression Archive. CoRR Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2020	B	`conf`	No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. DSAA Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik
2020	J	`jnl`	On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers. IEEE Access Nayyar Abbas Zaidi, Yang Du, Geoffrey I. Webb
2020	J	`jnl`	PCA-based drift and shift quantification framework for multidimensional data. Knowl. Inf. Syst. Igor Goldenberg, Geoffrey I. Webb
2020	J	`jnl`	PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact. Briefings Bioinform. Fuyi Li, Cunshuo Fan, Tatiana T. Marquez-Lago, André Leier, Jerico Nico De Leon Revote, Cangzhi Jia, Yan Zhu, Alexander Ian Smith, Geoffrey I. Webb, Quanzhong Liu, Leyi Wei, Jian Li, Jiangning Song
2020	J	`jnl`	PROSPECT: A web server for predicting protein histidine phosphorylation sites. J. Bioinform. Comput. Biol. Zhen Chen, Pei Zhao, Fuyi Li, André Leier, Tatiana T. Marquez-Lago, Geoffrey I. Webb, Abdelkader Baggag, Halima Bensmail, Jiangning Song
2020	J	`jnl`	Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information. Genom. Proteom. Bioinform. Fuyi Li, André Leier, Quanzhong Liu, Yanan Wang, Dongxu Xiang, Tatsuya Akutsu, Geoffrey I. Webb, Alexander Ian Smith, Tatiana T. Marquez-Lago, Jian Li, Jiangning Song
2020	J	`jnl`	ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels. Data Min. Knowl. Discov. Angus Dempster, François Petitjean, Geoffrey I. Webb
2020	J	`jnl`	TS-CHIEF: a scalable and accurate forest algorithm for time series classification. Data Min. Knowl. Discov. Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb
2020	—	`conf`	Time Series Classification at Scale. LWDA Geoffrey I. Webb
2020	J	`jnl`	Time Series Regression. CoRR Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2020	C	`conf`	Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series. IGARSS Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean
2020	J	`jnl`	iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data. Briefings Bioinform. Zhen Chen, Pei Zhao, Fuyi Li, Tatiana T. Marquez-Lago, André Leier, Jerico Nico De Leon Revote, Yan Zhu, David R. Powell, Tatsuya Akutsu, Geoffrey I. Webb, Kuo-Chen Chou, Alexander Ian Smith, Roger J. Daly, Jian Li, Jiangning Song
2019	J	`jnl`	A tutorial on statistically sound pattern discovery. Data Min. Knowl. Discov. Wilhelmiina Hämäläinen, Geoffrey I. Webb
2019	J	`jnl`	Adaptive online extreme learning machine by regulating forgetting factor by concept drift map. Neurocomputing Hualong Yu, Geoffrey I. Webb
2019	J	`jnl`	Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework. Briefings Bioinform. Yanju Zhang, Ruopeng Xie, Jiawei Wang, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Geoffrey I. Webb, Kuo-Chen Chou, Jiangning Song
2019	C	`conf`	Deep Learning for the Classification of Sentinel-2 Image Time Series. IGARSS Charlotte Pelletier, Geoffrey I. Webb, François Petitjean
2019	A	`conf`	Elastic bands across the path: A new framework and method to lower bound DTW. SDM Chang Wei Tan, François Petitjean, Geoffrey I. Webb
2019	—	`conf`	Exploring Data Quantity Requirements for Domain Adaptation in the Classification of Satellite Image Time Series. MultiTemp Benjamin Lucas, Charlotte Pelletier, Jordi Inglada, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean
2019	J	`jnl`	InceptionTime: Finding AlexNet for Time Series Classification. CoRR Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean
2019	J	`jnl`	Large-scale comparative assessment of computational predictors for lysine post-translational modification sites. Briefings Bioinform. Zhen Chen, Xuhan Liu, Fuyi Li, Chen Li, Tatiana T. Marquez-Lago, André Leier, Tatsuya Akutsu, Geoffrey I. Webb, Dakang Xu, Alexander Ian Smith, Lei Li, Kuo-Chen Chou, Jiangning Song
2019	J	`jnl`	Positive-unlabelled learning of glycosylation sites in the human proteome. BMC Bioinform. Fuyi Li, Yang Zhang, Anthony W. Purcell, Geoffrey I. Webb, Kuo-Chen Chou, Trevor Lithgow, Chen Li, Jiangning Song
2019	J	`jnl`	Proximity Forest: an effective and scalable distance-based classifier for time series. Data Min. Knowl. Discov. Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb
2019	J	`jnl`	ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels. CoRR Angus Dempster, François Petitjean, Geoffrey I. Webb
2019	J	`jnl`	SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models. BMC Bioinform. Xiaochuan Wang, Chen Li, Fuyi Li, Varun S. Sharma, Jiangning Song, Geoffrey I. Webb
2019	J	`jnl`	Survey of distance measures for quantifying concept drift and shift in numeric data. Knowl. Inf. Syst. Igor Goldenberg, Geoffrey I. Webb
2019	J	`jnl`	Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches. Briefings Bioinform. Jiawei Wang, Bingjiao Yang, Yi An, Tatiana T. Marquez-Lago, André Leier, Jonathan Wilksch, Qingyang Hong, Yang Zhang, Morihiro Hayashida, Tatsuya Akutsu, Geoffrey I. Webb, Richard A. Strugnell, Jiangning Song, Trevor Lithgow
2019	J	`jnl`	TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification. CoRR Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb
2019	J	`jnl`	Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series. Remote. Sens. Charlotte Pelletier, Geoffrey I. Webb, François Petitjean
2019	J	`jnl`	Time series classification for varying length series. CoRR Chang Wei Tan, François Petitjean, Eamonn J. Keogh, Geoffrey I. Webb
2019	J	`jnl`	Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods. Briefings Bioinform. Fuyi Li, Yanan Wang, Chen Li, Tatiana T. Marquez-Lago, André Leier, Neil D. Rawlings, Gholamreza Haffari, Jerico Nico De Leon Revote, Tatsuya Akutsu, Kuo-Chen Chou, Anthony W. Purcell, Robert N. Pike, Geoffrey I. Webb, Alexander Ian Smith, Trevor Lithgow, Roger J. Daly, James C. Whisstock, Jiangning Song
2019	—	`conf`	Using Sentinel-2 Image Time Series to map the State of Victoria, Australia. MultiTemp Charlotte Pelletier, Zehui Ji, Olivier Hagolle, Elizabeth Morse-McNabb, Kathryn Sheffield, Geoffrey I. Webb, François Petitjean
2019	J	`jnl`	iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites. Briefings Bioinform. Jiangning Song, Yanan Wang, Fuyi Li, Tatsuya Akutsu, Neil D. Rawlings, Geoffrey I. Webb, Kuo-Chen Chou
2018	J	`jnl`	Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. Mach. Learn. François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi
2018	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I PAKDD (1) Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi
2018	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II PAKDD (2) Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi
2018	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III PAKDD (3) Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi
2018	J	`jnl`	An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams. CoRR Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb
2018	J	`jnl`	Analyzing concept drift and shift from sample data. Data Min. Knowl. Discov. Geoffrey I. Webb, Loong Kuan Lee, Bart Goethals, François Petitjean
2018	J	`jnl`	Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI. Briefings Bioinform. Yi An, Jiawei Wang, Chen Li, André Leier, Tatiana T. Marquez-Lago, Jonathan Wilksch, Yang Zhang, Geoffrey I. Webb, Jiangning Song, Trevor Lithgow
2018	J	`jnl`	Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity. Briefings Bioinform. Huilin Wang, Liubin Feng, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song, Donghai Lin
2018	A	`conf`	Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities. SDM Nayyar Abbas Zaidi, François Petitjean, Geoffrey I. Webb
2018	A	`conf`	Efficient search of the best warping window for Dynamic Time Warping. SDM Chang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, François Petitjean
2018	J	`jnl`	Elastic bands across the path: A new framework and methods to lower bound DTW. CoRR Chang Wei Tan, François Petitjean, Geoffrey I. Webb
2018	A*	`conf`	Extremely Fast Decision Tree. KDD Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi
2018	J	`jnl`	Extremely Fast Decision Tree. CoRR Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi
2018	J	`jnl`	Instance-Dependent PU Learning by Bayesian Optimal Relabeling. CoRR Fengxiang He, Tongliang Liu, Geoffrey I. Webb, Dacheng Tao
2018	J	`jnl`	Mining significant crisp-fuzzy spatial association rules. Int. J. Geogr. Inf. Sci. Wenzhong Shi, An-Shu Zhang, Geoffrey I. Webb
2018	J	`jnl`	On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error. CoRR Nayyar Abbas Zaidi, Geoffrey I. Webb, François Petitjean, Germain Forestier
2018	J	`jnl`	PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy. Bioinform. Jiangning Song, Fuyi Li, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Gholamreza Haffari, Kuo-Chen Chou, Geoffrey I. Webb, Robert N. Pike
2018	J	`jnl`	Proximity Forest: An effective and scalable distance-based classifier for time series. CoRR Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb
2018	A*	`conf`	Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data. KDD Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb
2018	J	`jnl`	Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series. CoRR Charlotte Pelletier, Geoffrey I. Webb, François Petitjean
2018	J	`jnl`	iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences. Bioinform. Zhen Chen, Pei Zhao, Fuyi Li, André Leier, Tatiana T. Marquez-Lago, Yanan Wang, Geoffrey I. Webb, Alexander Ian Smith, Roger J. Daly, Kuo-Chen Chou, Jiangning Song
2017	A	`conf`	A Fast Trust-Region Newton Method for Softmax Logistic Regression. SDM Nayyar Abbas Zaidi, Geoffrey I. Webb
2017	J	`jnl`	Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes. CoRR François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi
2017	—	`ch.`	Algorithm Evaluation. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	—	`ch.`	Averaged One-Dependence Estimators. Encyclopedia of Machine Learning and Data Mining Fei Zheng, Geoffrey I. Webb
2017	—	`ch.`	Bayes' Rule. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	J	`jnl`	Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity. Briefings Bioinform. Huilin Wang, Liubin Feng, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song, Donghai Lin
2017	—	`ch.`	Data Preparation. Encyclopedia of Machine Learning and Data Mining Zahraa Said Abdallah, Lan Du, Geoffrey I. Webb
2017	J	`jnl`	Efficient parameter learning of Bayesian network classifiers. Mach. Learn. Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck
2017	—	`book`	Encyclopedia of Machine Learning and Data Mining Encyclopedia of Machine Learning and Data Mining Claude Sammut, Geoffrey I. Webb
2017	—	`ch.`	Evaluation of Learning Algorithms. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	A*	`conf`	Generating Synthetic Time Series to Augment Sparse Datasets. ICDM Germain Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn J. Keogh
2017	—	`ch.`	Generative and Discriminative Learning. Encyclopedia of Machine Learning and Data Mining Bin Liu, Geoffrey I. Webb
2017	A	`conf`	Indexing and classifying gigabytes of time series under time warping. SDM Chang Wei Tan, Geoffrey I. Webb, François Petitjean
2017	—	`ch.`	Lazy Learning. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	—	`ch.`	Model Evaluation. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	—	`ch.`	MultiBoosting. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	—	`ch.`	Naïve Bayes. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	—	`ch.`	Occam's Razor. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	J	`jnl`	On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers. CoRR Nayyar Abbas Zaidi, Yang Du, Geoffrey I. Webb
2017	—	`ch.`	Overfitting. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	J	`jnl`	POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles. Bioinform. Jiawei Wang, Bingjiao Yang, Jerico Nico De Leon Revote, André Leier, Tatiana T. Marquez-Lago, Geoffrey I. Webb, Jiangning Song, Kuo-Chen Chou, Trevor Lithgow
2017	—	`ch.`	Posterior Probability. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	—	`ch.`	Prior Probability. Encyclopedia of Machine Learning and Data Mining Geoffrey I. Webb
2017	J	`jnl`	Sample-Based Attribute Selective A IEEE Trans. Knowl. Data Eng. Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang
2017	J	`jnl`	Selective AnDE for large data learning: a low-bias memory constrained approach. Knowl. Inf. Syst. Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang
2017	—	`ch.`	Semi-naive Bayesian Learning. Encyclopedia of Machine Learning and Data Mining Fei Zheng, Geoffrey I. Webb
2017	J	`jnl`	SimUSF: an efficient and effective similarity measure that is invariant to violations of the interval scale assumption. Data Min. Knowl. Discov. Thilak L. Fernando, Geoffrey I. Webb
2017	A	`conf`	Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining. SDM Wilhelmiina Hämäläinen, Geoffrey I. Webb
2017	J	`jnl`	Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining. CoRR Wilhelmiina Hämäläinen, Geoffrey I. Webb
2017	—	`ch.`	Supervised Descriptive Rule Induction. Encyclopedia of Machine Learning and Data Mining Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb
2017	—	`ch.`	Tree Augmented Naive Bayes. Encyclopedia of Machine Learning and Data Mining Fei Zheng, Geoffrey I. Webb
2017	J	`jnl`	Understanding Concept Drift. CoRR Geoffrey I. Webb, Loong Kuan Lee, François Petitjean, Bart Goethals
2016	A*	`conf`	A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests. KDD Geoffrey I. Webb, François Petitjean
2016	J	`jnl`	ALR Mach. Learn. Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Jesús Cerquides
2016	J	`jnl`	Characterizing concept drift. Data Min. Knowl. Discov. Geoffrey I. Webb, Roy Hyde, Hong Cao, Hai-Long Nguyen, François Petitjean
2016	J	`jnl`	Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm. Knowl. Inf. Syst. François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh
2016	J	`jnl`	Mining significant association rules from uncertain data. Data Min. Knowl. Discov. An-Shu Zhang, Wenzhong Shi, Geoffrey I. Webb
2016	—	`conf`	Preconditioning an Artificial Neural Network Using Naive Bayes. PAKDD (1) Nayyar Abbas Zaidi, François Petitjean, Geoffrey I. Webb
2016	J	`jnl`	Scalable Learning of Bayesian Network Classifiers. J. Mach. Learn. Res. Ana M. Martínez, Geoffrey I. Webb, Shenglei Chen, Nayyar Abbas Zaidi
2016	A*	`conf`	Scalable Learning of Graphical Models. KDD François Petitjean, Geoffrey I. Webb
2016	J	`jnl`	Skopus: Mining top-k sequential patterns under leverage. Data Min. Knowl. Discov. François Petitjean, Tao Li, Nikolaj Tatti, Geoffrey I. Webb
2015	J	`jnl`	Characterizing Concept Drift. CoRR Geoffrey I. Webb, Roy Hyde, Hong Cao, Hai-Long Nguyen, François Petitjean
2015	J	`jnl`	Deep Broad Learning - Big Models for Big Data. CoRR Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean
2015	J	`jnl`	Exact discovery of the most interesting sequential patterns. CoRR Tao Li, Geoffrey I. Webb, François Petitjean
2015	J	`jnl`	GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome. Bioinform. Fuyi Li, Chen Li, Mingjun Wang, Geoffrey I. Webb, Yang Zhang, James C. Whisstock, Jiangning Song
2015	J	`jnl`	Introduction: special issue of selected papers of ACML 2013. Mach. Learn. Cheng Soon Ong, Wray L. Buntine, Tu Bao Ho, Masashi Sugiyama, Geoffrey I. Webb
2015	A*	`ed.`	Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 KDD Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams
2015	A	`conf`	Scaling log-linear analysis to datasets with thousands of variables. SDM François Petitjean, Geoffrey I. Webb
2014	—	`ed.`	1st ECML/PKDD Workshop on Statistically Sound Data Mining, SSDM 2014, held at ECML/PKDD 2014, Nancy, France, September 15, 2014 SSDM@ECML/PKDD Wilhelmiina Hämäläinen, François Petitjean, Geoffrey I. Webb
2014	J	`jnl`	A Data Scientist's Guide to Start-Ups. Big Data Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich
2014	A*	`conf`	A Statistically Efficient and Scalable Method for Log-Linear Analysis of High-Dimensional Data. ICDM François Petitjean, Lloyd Allison, Geoffrey I. Webb
2014	A*	`conf`	Contrary to Popular Belief Incremental Discretization can be Sound, Computationally Efficient and Extremely Useful for Streaming Data. ICDM Geoffrey I. Webb
2014	A*	`conf`	Does social good justify risking personal privacy? KDD Raghu Ramakrishnan, Geoffrey I. Webb
2014	A*	`conf`	Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification. ICDM François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh
2014	—	`conf`	Highly Scalable Attribute Selection for Averaged One-Dependence Estimators. PAKDD (2) Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb
2014	A*	`conf`	Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression. ICDM Nayyar Abbas Zaidi, Mark James Carman, Jesús Cerquides, Geoffrey I. Webb
2014	—	`conf`	Preface to the 1st ECML/PKDD workshop on Statistically Sound Data Mining. SSDM@ECML/PKDD Wilhelmiina Hämäläinen, François Petitjean, Geoffrey I. Webb
2014	A*	`conf`	Statistically sound pattern discovery. KDD Wilhelmiina Hämäläinen, Geoffrey I. Webb
2013	J	`jnl`	Alleviating naive Bayes attribute independence assumption by attribute weighting. J. Mach. Learn. Res. Nayyar Abbas Zaidi, Jesús Cerquides, Mark James Carman, Geoffrey I. Webb
2013	J	`jnl`	Efficient Discovery of the Most Interesting Associations. ACM Trans. Knowl. Discov. Data Geoffrey I. Webb, Jilles Vreeken
2013	—	`conf`	Fast and Effective Single Pass Bayesian Learning. PAKDD (1) Nayyar Abbas Zaidi, Geoffrey I. Webb
2013	A*	`conf`	Panel: a data scientist's guide to making money from start-ups. KDD Foster J. Provost, Geoffrey I. Webb
2013	A*	`conf`	Scaling Log-Linear Analysis to High-Dimensional Data. ICDM François Petitjean, Geoffrey I. Webb, Ann E. Nicholson
2012	—	`ed.`	12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012 ICDM Workshops Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu
2012	A*	`ed.`	12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012 ICDM Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu
2012	Misc	`conf`	Discovering Associations in High-Dimensional Data. ADC Geoffrey I. Webb
2012	J	`jnl`	Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification. Mach. Learn. Geoffrey I. Webb, Janice R. Boughton, Fei Zheng, Kai Ming Ting, Houssam Salem
2012	—	`conf`	Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers. HAIS (2) Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez
2012	J	`jnl`	Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning. Mach. Learn. Fei Zheng, Geoffrey I. Webb, Pramuditha Suraweera, Liguang Zhu
2012	—	`conf`	Techniques for Efficient Learning without Search. PAKDD (1) Houssam Salem, Pramuditha Suraweera, Geoffrey I. Webb, Janice R. Boughton
2011	J	`jnl`	Bioinformatic Approaches for Predicting substrates of Proteases. J. Bioinform. Comput. Biol. Jiangning Song, Hao Tan, Sarah E. Boyd, Hong-Bin Shen, Khalid Mahmood, Geoffrey I. Webb, Tatsuya Akutsu, James C. Whisstock, Robert N. Pike
2011	J	`jnl`	Feature-subspace aggregating: ensembles for stable and unstable learners. Mach. Learn. Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb
2011	J	`jnl`	Filtered-top- WIREs Data Mining Knowl. Discov. Geoffrey I. Webb
2010	—	`ch.`	Algorithm Evaluation. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	—	`ch.`	Averaged One-Dependence Estimators. Encyclopedia of Machine Learning Fei Zheng, Geoffrey I. Webb
2010	—	`ch.`	Bayes Rule. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	J	`jnl`	Cascleave: towards more accurate prediction of caspase substrate cleavage sites. Bioinform. Jiangning Song, Hao Tan, Hong-Bin Shen, Khalid Mahmood, Sarah E. Boyd, Geoffrey I. Webb, Tatsuya Akutsu, James C. Whisstock
2010	—	`ch.`	Data Preparation. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	—	`ch.`	Discretization Methods. Data Mining and Knowledge Discovery Handbook Ying Yang, Geoffrey I. Webb, Xindong Wu
2010	J	`jnl`	EGM: encapsulated gene-by-gene matching to identify gene orthologs and homologous segments in genomes. Bioinform. Khalid Mahmood, Arun Siddharth Konagurthu, Jiangning Song, Ashley M. Buckle, Geoffrey I. Webb, James C. Whisstock
2010	—	`book`	Encyclopedia of Machine Learning Encyclopedia of Machine Learning Claude Sammut, Geoffrey I. Webb
2010	—	`ch.`	Generative and Discriminative Learning. Encyclopedia of Machine Learning Bin Liu, Geoffrey I. Webb
2010	A*	`ed.`	ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 ICDM Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu
2010	—	`ed.`	ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010 ICDM Workshops Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu
2010	—	`ch.`	Lazy Learning. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	—	`ch.`	Model Evaluation. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	—	`ch.`	MultiBoosting. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	—	`ch.`	Naïve Bayes. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	—	`ch.`	Occam's Razor. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	—	`ch.`	Overfitting. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	—	`ch.`	Posterior Probability. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	—	`ch.`	Prior Probability. Encyclopedia of Machine Learning Geoffrey I. Webb
2010	J	`jnl`	Self-sufficient itemsets: An approach to screening potentially interesting associations between items. ACM Trans. Knowl. Discov. Data Geoffrey I. Webb
2010	—	`ch.`	Semi-Naive Bayesian Learning. Encyclopedia of Machine Learning Fei Zheng, Geoffrey I. Webb
2010	—	`ch.`	Supervised Descriptive Rule Induction. Encyclopedia of Machine Learning Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb
2010	—	`ch.`	Tree Augmented Naive Bayes. Encyclopedia of Machine Learning Fei Zheng, Geoffrey I. Webb
2009	B	`conf`	A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification. PAKDD Bin Liu, Ying Yang, Geoffrey I. Webb, Janice R. Boughton
2009	J	`jnl`	Anytime classification for a pool of instances. Mach. Learn. Bei Hui, Ying Yang, Geoffrey I. Webb
2009	J	`jnl`	Discretization for naive-Bayes learning: managing discretization bias and variance. Mach. Learn. Ying Yang, Geoffrey I. Webb
2009	—	`conf`	FaSS: Ensembles for Stable Learners. MCS Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb
2009	J	`jnl`	Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining. J. Mach. Learn. Res. Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb
2008	J	`jnl`	Discovering significant patterns. Mach. Learn. Geoffrey I. Webb
2008	J	`jnl`	Layered critical values: a powerful direct-adjustment approach to discovering significant patterns. Mach. Learn. Geoffrey I. Webb
2008	Misc	`conf`	Multi-Strategy Ensemble Learning, Ensembles of Bayesian Classifiers, and the Problem of False Discoveries. AusDM Geoffrey I. Webb
2007	J	`jnl`	Classifying under computational resource constraints: anytime classification using probabilistic estimators. Mach. Learn. Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting
2007	J	`jnl`	Discovering Significant Patterns. Mach. Learn. Geoffrey I. Webb
2007	J	`jnl`	Editorial. Data Min. Knowl. Discov. Geoffrey I. Webb
2007	B	`conf`	Finding the Real Patterns. PAKDD Geoffrey I. Webb
2007	—	`conf`	Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators. ECML Fei Zheng, Geoffrey I. Webb
2007	J	`jnl`	To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators. IEEE Trans. Knowl. Data Eng. Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
2006	—	`conf`	Anytime learning and classification for online applications. AMT Geoffrey I. Webb
2006	A*	`conf`	Discovering significant rules. KDD Geoffrey I. Webb
2006	A*	`conf`	Efficient lazy elimination for averaged one-dependence estimators. ICML Fei Zheng, Geoffrey I. Webb
2006	—	`ch.`	Efficiently Identifying Exploratory Rules' Significance. Selected Papers from AusDM Shiying Huang, Geoffrey I. Webb
2006	—	`ch.`	Generality Is Predictive of Prediction Accuracy. Selected Papers from AusDM Geoffrey I. Webb, Damien Brain
2006	C	`conf`	Incremental Discretization for Naïve-Bayes Classifier. ADMA Jingli Lu, Ying Yang, Geoffrey I. Webb
2006	B	`ed.`	PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings PRICAI Qiang Yang, Geoffrey I. Webb
2006	—	`conf`	To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles. ECML Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
2005	A	`conf`	Discarding Insignificant Rules during Impact Rule Discovery in Large, Dense Databases. SDM Shiying Huang, Geoffrey I. Webb
2005	—	`ch.`	Discretization Methods. The Data Mining and Knowledge Discovery Handbook Ying Yang, Geoffrey I. Webb, Xindong Wu
2005	—	`conf`	Ensemble Selection for SuperParent-One-Dependence Estimators. Australian Conference on Artificial Intelligence Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb
2005	—	`conf`	K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining. Australian Conference on Artificial Intelligence Geoffrey I. Webb
2005	J	`jnl`	K-Optimal Rule Discovery. Data Min. Knowl. Discov. Geoffrey I. Webb, Songmao Zhang
2005	J	`jnl`	Not So Naive Bayes: Aggregating One-Dependence Estimators. Mach. Learn. Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang
2005	J	`jnl`	On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. Mach. Learn. Geoffrey I. Webb, Kai Ming Ting
2005	B	`conf`	Pruning Derivative Partial Rules During Impact Rule Discovery. PAKDD Shiying Huang, Geoffrey I. Webb
2004	—	`ed.`	AI 2004: Advances in Artificial Intelligence, 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004, Proceedings Australian Conference on Artificial Intelligence Geoffrey I. Webb, Xinghuo Yu
2004	J	`jnl`	Guest Editors' Introduction. Int. J. Softw. Eng. Knowl. Eng. Honghua Dai, Geoffrey I. Webb
2004	B	`conf`	Mining Negative Rules Using GRD. PAKDD Dhananjay R. Thiruvady, Geoffrey I. Webb
2004	J	`jnl`	Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques. IEEE Trans. Knowl. Data Eng. Geoffrey I. Webb, Zijian Zheng
2004	B	`conf`	Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory. PAKDD Zhihai Wang, Geoffrey I. Webb, Fei Zheng
2003	—	`conf`	A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images. Australian Conference on Artificial Intelligence Shane M. Butler, Geoffrey I. Webb, Rob A. Lewis
2003	B	`conf`	A New Restricted Bayesian Network Classifier. PAKDD Hongbo Shi, Zhihai Wang, Geoffrey I. Webb, Houkuan Huang
2003	—	`conf`	Adjusting Dependence Relations for Semi-Lazy TAN Classifiers. Australian Conference on Artificial Intelligence Zhihai Wang, Geoffrey I. Webb, Fei Zheng
2003	J	`jnl`	Identifying Approximate Itemsets of Interest in Large Databases. Appl. Intell. Chengqi Zhang, Shichao Zhang, Geoffrey I. Webb
2003	—	`conf`	On Why Discretization Works for Naive-Bayes Classifiers. Australian Conference on Artificial Intelligence Ying Yang, Geoffrey I. Webb
2003	A*	`conf`	On detecting differences between groups. KDD Geoffrey I. Webb, Shane M. Butler, Douglas A. Newlands
2003	B	`conf`	Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. PAKDD Ying Yang, Geoffrey I. Webb
2002	Misc	`conf`	A Heuristic Lazy Bayesian Rule Algorithm. AusDM Zhihai Wang, Geoffrey I. Webb
2002	Misc	`conf`	Averaged One-Dependence Estimators: Preliminary Results. AusDM Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang
2002	A*	`conf`	Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. ICDM Zhihai Wang, Geoffrey I. Webb
2002	A*	`conf`	Experimentation and Self Learning in Continuous Database Marketing. ICDM James E. Pearce, Geoffrey I. Webb, Robin N. Shaw, Brian J. Garner
2002	A*	`conf`	Non-Disjoint Discretization for Naive-Bayes Classifiers. ICML Ying Yang, Geoffrey I. Webb
2002	—	`conf`	Solving Regression Problems Using Competitive Ensemble Models. Australian Joint Conference on Artificial Intelligence Yakov Frayman, Bernard F. Rolfe, Geoffrey I. Webb
2002	—	`conf`	The Need for Low Bias Algorithms in Classification Learning from Large Data Sets. PKDD Damien Brain, Geoffrey I. Webb
2001	—	`conf`	Candidate Elimination Criteria for Lazy Bayesian Rules. Australian Joint Conference on Artificial Intelligence Geoffrey I. Webb
2001	A*	`conf`	Discovering associations with numeric variables. KDD Geoffrey I. Webb
2001	—	`conf`	Further Pruning for Efficient Association Rule Discovery. Australian Joint Conference on Artificial Intelligence Songmao Zhang, Geoffrey I. Webb
2001	J	`jnl`	Machine Learning for User Modeling. User Model. User Adapt. Interact. Geoffrey I. Webb, Michael J. Pazzani, Daniel Billsus
2001	—	`conf`	Proportional k-Interval Discretization for Naive-Bayes Classifiers. ECML Ying Yang, Geoffrey I. Webb
2000	A*	`conf`	Efficient search for association rules. KDD Geoffrey I. Webb
2000	J	`jnl`	Lazy Learning of Bayesian Rules. Mach. Learn. Zijian Zheng, Geoffrey I. Webb
2000	J	`jnl`	MultiBoosting: A Technique for Combining Boosting and Wagging. Mach. Learn. Geoffrey I. Webb
1999	J	`jnl`	An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition. Mach. Learn. Geoffrey I. Webb, Jason Wells, Zijian Zheng
1999	B	`conf`	Convex Hulls in Concept Induction. PAKDD Douglas A. Newlands, Geoffrey I. Webb
1999	A*	`conf`	Decision Tree Grafting From the All Tests But One Partition. IJCAI Geoffrey I. Webb
1999	A*	`conf`	Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. ICML Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
1999	B	`conf`	Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. PAKDD Zijian Zheng, Geoffrey I. Webb
1998	—	`conf`	Adjusted Probability Naive Bayesian Induction. Australian Joint Conference on Artificial Intelligence Geoffrey I. Webb, Michael J. Pazzani
1998	—	`conf`	Classification Learning Using All Rules. ECML Murlikrishna Viswanathan, Geoffrey I. Webb
1998	B	`conf`	Evaluation of Data Aging: A Technique for Discounting Old Data During Student Modeling. Intelligent Tutoring Systems Geoffrey I. Webb, Mark Kuzmycz
1998	B	`conf`	Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning. ICTAI Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
1998	J	`jnl`	Preface to UMUAI Special Issue on Machine Learning for User Modeling. User Model. User Adapt. Interact. Geoffrey I. Webb
1998	—	`conf`	Stochastic Attribute Selection Committees. Australian Joint Conference on Artificial Intelligence Zijian Zheng, Geoffrey I. Webb
1998	—	`conf`	The Problem of Missing Values in Decision Tree Grafting. Australian Joint Conference on Artificial Intelligence Geoffrey I. Webb
1998	J	`jnl`	Using Decision Trees for Agent Modeling: Improving Prediction Performance. User Model. User Adapt. Interact. Bark Cheung Chiu, Geoffrey I. Webb
1997	—	`conf`	Decision Tree Grafting. IJCAI (2) Geoffrey I. Webb
1997	—	`conf`	Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions. Australian Joint Conference on Artificial Intelligence Bark Cheung Chiu, Geoffrey I. Webb, Zijian Zheng
1996	B	`conf`	Cost-Sensitive Specialization. PRICAI Geoffrey I. Webb
1996	J	`jnl`	Further Experimental Evidence against the Utility of Occam's Razor CoRR Geoffrey I. Webb
1996	J	`jnl`	Further Experimental Evidence against the Utility of Occam's Razor. J. Artif. Intell. Res. Geoffrey I. Webb
1996	J	`jnl`	Integrating machine learning with knowledge acquisition through direct interaction with domain experts. Knowl. Based Syst. Geoffrey I. Webb
1995	J	`jnl`	Feature Based Modelling: A Methodology for Producing Coherent, Consistent, Dynamically Changing Models of Agents' Competencies. User Model. User Adapt. Interact. Geoffrey I. Webb, Mark Kuzmycz
1995	J	`jnl`	OPUS: An Efficient Admissible Algorithm for Unordered Search. CoRR Geoffrey I. Webb
1995	J	`jnl`	OPUS: An Efficient Admissible Algorithm for Unordered Search. J. Artif. Intell. Res. Geoffrey I. Webb
1995	C	`conf`	Polygonal Inductive Generalisation System. IEA/AIE Douglas A. Newlands, Geoffrey I. Webb
1995	—	`conf`	Transparency Debugging with Explanations for Novice Programmers. AADEBUG Philip A. Smith, Geoffrey I. Webb
1992	B	`conf`	Evaluation of Feature Based Modelling in Subtraction. Intelligent Tutoring Systems Mark Kuzmycz, Geoffrey I. Webb
1992	J	`jnl`	Inducing diagnostic rules for glomerular disease with the DLG machine learning algorithm. Artif. Intell. Medicine Geoffrey I. Webb, John W. M. Agar
1990	J	`jnl`	Improving the efficiency of rule-based expert systems by rule activation. J. Exp. Theor. Artif. Intell. Louis Sanzogn, Francis Suraweera, Geoffrey I. Webb
1988	J	`jnl`	A Knowledge-Based Approach to Computer-Aided Learning. Int. J. Man Mach. Stud. Geoffrey I. Webb
1988	—	`conf`	Techniques for Efficient Empirical Induction. Australian Joint Conference on Artificial Intelligence Geoffrey I. Webb