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ORCIDGeoffrey I. Webb
Geoff Webb
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- affiliation: Monash University, Melbourne, Australia
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2020 – today
- 2025
[j123]Zahra Zamanzadeh Darban
, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi:
CARLA: Self-supervised contrastive representation learning for time series anomaly detection. Pattern Recognit. 157: 110874 (2025)- 2024
- [j122]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:
GraphormerDTI: A graph transformer-based approach for drug-target interaction prediction. Comput. Biol. Medicine 173: 108339 (2024) - [j121]Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi:
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. ACM Comput. Surv. 56(9): 217:1-217:45 (2024) - [j120]Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi:
Improving position encoding of transformers for multivariate time series classification. Data Min. Knowl. Discov. 38(1): 22-48 (2024) - [j119]Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb:
quant: a minimalist interval method for time series classification. Data Min. Knowl. Discov. 38(4): 2377-2402 (2024) - [j118]Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi:
Series2vec: similarity-based self-supervised representation learning for time series classification. Data Min. Knowl. Discov. 38(4): 2520-2544 (2024) - [j117]Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan, Lauren T. May, Geoffrey I. Webb:
Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data. Nat. Mac. Intell. 6(6): 673-687 (2024) - [c95]Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb:
A Hands-on Introduction to Time Series Classification and Regression. KDD 2024: 6410-6411 - [e16]Tongliang Liu, Geoffrey I. Webb, Lin Yue, Dadong Wang:
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. Lecture Notes in Computer Science 14471, Springer 2024, ISBN 978-981-99-8387-2 [contents] - [e15]Tongliang Liu, Geoffrey I. Webb, Lin Yue, Dadong Wang:
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. Lecture Notes in Computer Science 14472, Springer 2024, ISBN 978-981-99-8390-2 [contents] - [d184]Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan, Lauren T. May, Geoffrey I. Webb:
Datasets for "Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data". Zenodo, 2024
- [i60]Angus Dempster, Geoffrey I. Webb, Daniel F. Schmidt:
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data. CoRR abs/2401.15610 (2024) - [i59]Lynn Miller, Charlotte Pelletier, Geoffrey I. Webb:
Deep Learning for Satellite Image Time Series Analysis: A Review. CoRR abs/2404.03936 (2024) - [i58]Zahra Zamanzadeh Darban, Geoffrey I. Webb, Mahsa Salehi:
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series. CoRR abs/2404.11269 (2024) - [i57]Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan:
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CoRR abs/2407.19944 (2024) - [i56]Yizhen Zheng, Huan Yee Koh, Maddie Yang, Li Li, Lauren T. May, Geoffrey I. Webb, Shirui Pan, George Church:
Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials. CoRR abs/2409.04481 (2024) - 2023
- [j116]Yan Zhu, Fuyi Li, Xudong Guo, Xiaoyu Wang, Lachlan J. M. Coin, Geoffrey I. Webb, Jiangning Song, Cangzhi Jia:
TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters. Briefings Bioinform. 24(4) (2023) - [j115]Tong Pan, Chen Li, Yue Bi, Zhikang Wang, Robin B. Gasser, Anthony W. Purcell, Tatsuya Akutsu, Geoffrey I. Webb, Seiya Imoto, Jiangning Song:
PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships. Bioinform. 39(3) (2023) - [j114]Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb:
Hydra: competing convolutional kernels for fast and accurate time series classification. Data Min. Knowl. Discov. 37(5): 1779-1805 (2023) - [j113]Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb:
Parameterizing the cost function of dynamic time warping with application to time series classification. Data Min. Knowl. Discov. 37(5): 2024-2045 (2023) - [j112]Yashpal Ramakrishnaiah, Nenad Macesic, Geoffrey I. Webb, Anton Y. Peleg, Sonika Tyagi:
EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes. J. Biomed. Informatics 147: 104509 (2023) - [j111]Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb:
Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification. Knowl. Inf. Syst. 65(5): 2123-2157 (2023) - [j110]Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb:
Elastic similarity and distance measures for multivariate time series. Knowl. Inf. Syst. 65(6): 2665-2698 (2023) - [j109]Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean:
A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping. Mach. Learn. 112(6): 1941-1973 (2023) - [j108]Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir:
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting. Mach. Learn. 112(7): 2555-2591 (2023) - [j107]Matthieu Herrmann, Geoffrey I. Webb:
Amercing: An intuitive and effective constraint for dynamic time warping. Pattern Recognit. 137: 109333 (2023) - [j106]Huan Zhang, Liangxiao Jiang, Geoffrey I. Webb:
Rigorous non-disjoint discretization for naive Bayes. Pattern Recognit. 140: 109554 (2023) - [c94]Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb:
Computing Divergences between Discrete Decomposable Models. AAAI 2023: 12243-12251 - [c93]Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier:
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging. AALTD@ECML/PKDD 2023: 127-142 - [c92]Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski:
Computing Marginal and Conditional Divergences between Decomposable Models with Applications. ICDM 2023: 239-248 - [c91]Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti:
Rapid Identification of Protein Formulations with Bayesian Optimisation. ICMLA 2023: 776-781 - [i55]Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb:
Parameterizing the cost function of Dynamic Time Warping with application to time series classification. CoRR abs/2301.10350 (2023) - [i54]Seyed Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi:
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. CoRR abs/2302.02515 (2023) - [i53]Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb:
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series. CoRR abs/2304.05800 (2023) - [i52]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:
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set. CoRR abs/2305.11921 (2023) - [i51]Seyed Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi:
Improving Position Encoding of Transformers for Multivariate Time Series Classification. CoRR abs/2305.16642 (2023) - [i50]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR abs/2307.03759 (2023) - [i49]Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb:
QUANT: A Minimalist Interval Method for Time Series Classification. CoRR abs/2308.00928 (2023) - [i48]Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Mahsa Salehi:
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection. CoRR abs/2308.09296 (2023) - [i47]Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier:
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging. CoRR abs/2309.16353 (2023) - [i46]Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp:
Protecting Sensitive Data through Federated Co-Training. CoRR abs/2310.05696 (2023) - [i45]Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan:
Large Language Models for Scientific Synthesis, Inference and Explanation. CoRR abs/2310.07984 (2023) - [i44]Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski:
Computing Marginal and Conditional Divergences between Decomposable Models with Applications. CoRR abs/2310.09129 (2023) - [i43]Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi:
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification. CoRR abs/2312.03998 (2023) - 2022
- [j105]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:
Positive-unlabeled learning in bioinformatics and computational biology: a brief review. Briefings Bioinform. 23(1) (2022) - [j104]Xiaoyu Wang, Fuyi Li, Jing Xu, Jia Rong, Geoffrey I. Webb, Zongyuan Ge, Jian Li, Jiangning Song:
ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning. Briefings Bioinform. 23(2) (2022) - [j103]Meng Zhang, Cangzhi Jia, Fuyi Li, Chen Li, Yan Zhu, Tatsuya Akutsu, Geoffrey I. Webb, Quan Zou, Lachlan J. M. Coin, Jiangning Song:
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction. Briefings Bioinform. 23(2) (2022) - [j102]Yue Bi, Fuyi Li, Xudong Guo, Zhikang Wang, Tong Pan, Yuming Guo, Geoffrey I. Webb, Jianhua Yao, Cangzhi Jia, Jiangning Song:
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations. Briefings Bioinform. 23(6) (2022) - [j101]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:
DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images. Bioinform. 38(17): 4206-4213 (2022) - [j100]Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb:
An eager splitting strategy for online decision trees in ensembles. Data Min. Knowl. Discov. 36(2): 566-619 (2022) - [j99]Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb:
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification. Data Min. Knowl. Discov. 36(5): 1623-1646 (2022) - [j98]Lynn Miller, Liujun Zhu, Marta Yebra, Christoph Rüdiger, Geoffrey I. Webb:
Multi-modal temporal CNNs for live fuel moisture content estimation. Environ. Model. Softw. 156: 105467 (2022) - [j97]Shahid Iqbal, Fang Ge, Fuyi Li, Tatsuya Akutsu, Yuanting Zheng, Robin B. Gasser, Dong-Jun Yu, Geoffrey I. Webb, Jiangning Song:
PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations. J. Chem. Inf. Model. 62(17): 4270-4282 (2022) - [j96]Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Geoffrey I. Webb, Dinh Phung:
Robust Variational Learning for Multiclass Kernel Models With Stein Refinement. IEEE Trans. Knowl. Data Eng. 34(9): 4425-4438 (2022) - [c90]Chaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb:
Extremely Fast Hoeffding Adaptive Tree. ICDM 2022: 319-328 - [c89]Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier:
Smooth Perturbations for Time Series Adversarial Attacks. PAKDD (1) 2022: 485-496 - [d183]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Extended Wikipedia Web Traffic Daily Dataset (with Missing Values). Zenodo, 2022 - [d182]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Extended Wikipedia Web Traffic Daily Dataset (without Missing Values). Zenodo, 2022 - [i42]Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb:
HYDRA: Competing convolutional kernels for fast and accurate time series classification. CoRR abs/2203.13652 (2022) - [i41]Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi:
Deep Learning for Time Series Anomaly Detection: A Survey. CoRR abs/2211.05244 (2022) - [i40]Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir:
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting. CoRR abs/2211.08661 (2022) - 2021
- [j95]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:
Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules. Briefings Bioinform. 22(5) (2021) - [j94]Shahid Iqbal, Fuyi Li, Tatsuya Akutsu, David B. Ascher, Geoffrey I. Webb, Jiangning Song:
Assessing the performance of computational predictors for estimating protein stability changes upon missense mutations. Briefings Bioinform. 22(6) (2021) - [j93]Yanan Wang, Litao Yang, Geoffrey I. Webb, Zongyuan Ge, Jiangning Song:
OCTID: a one-class learning-based Python package for tumor image detection. Bioinform. 37(21): 3986-3988 (2021) - [j92]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:
HEAL: an automated deep learning framework for cancer histopathology image analysis. Bioinform. 37(22): 4291-4295 (2021) - [j91]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Time series extrinsic regression. Data Min. Knowl. Discov. 35(3): 1032-1060 (2021) - [j90]Matthieu Herrmann, Geoffrey I. Webb:
Early abandoning and pruning for elastic distances including dynamic time warping. Data Min. Knowl. Discov. 35(6): 2577-2601 (2021) - [j89]Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir:
Ensembles of localised models for time series forecasting. Knowl. Based Syst. 233: 107518 (2021) - [j88]Geoffrey I. Webb, François Petitjean:
Tight lower bounds for dynamic time warping. Pattern Recognit. 115: 107895 (2021) - [j87]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:
A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1801-1810 (2021) - [c88]Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb:
Ultra fast warping window optimization for Dynamic Time Warping. ICDM 2021: 589-598 - [c87]Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb:
MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification. KDD 2021: 248-257 - [c86]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. NeurIPS Datasets and Benchmarks 2021 - [c85]Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb:
Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. SDM 2021: 351-359 - [d181]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Australian Electricity Demand Dataset. Zenodo, 2021 - [d180]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
COVID-19 Mobility Dataset (with Missing Values). Zenodo, 2021 - [d179]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
COVID-19 Mobility Dataset (without Missing Values). Zenodo, 2021 - [d178]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Bitcoin Dataset with Missing Values. Zenodo, 2021 - [d177]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Bitcoin Dataset without Missing Values. Zenodo, 2021 - [d176]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Rideshare Dataset with Missing Values. Zenodo, 2021 - [d175]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Rideshare Dataset without Missing Values. Zenodo, 2021 - [d174]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Vehicle Trips Dataset with Missing Values. Zenodo, 2021 - [d173]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Vehicle Trips Dataset without Missing Values. Zenodo, 2021 - [d172]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Temperature Rain Dataset with Missing Values. Zenodo, 2021 - [d171]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Temperature Rain Dataset without Missing Values. Zenodo, 2021 - [d170]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Oikolab Weather Dataset. Zenodo, 2021 - [i39]Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb:
Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. CoRR abs/2101.08380 (2021) - [i38]Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb:
MultiRocket: Effective summary statistics for convolutional outputs in time series classification. CoRR abs/2102.00457 (2021) - [i37]Matthieu Herrmann, Geoffrey I. Webb:
Early Abandoning and Pruning for Elastic Distances. CoRR abs/2102.05221 (2021) - [i36]Geoffrey I. Webb, François Petitjean:
Tight lower bounds for Dynamic Time Warping. CoRR abs/2102.07076 (2021) - [i35]Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb:
Elastic Similarity Measures for Multivariate Time Series Classification. CoRR abs/2102.10231 (2021) - [i34]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. CoRR abs/2105.06643 (2021) - [i33]Matthieu Herrmann, Geoffrey I. Webb:
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping. CoRR abs/2111.13314 (2021) - [i32]Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb:
Estimating Divergences in High Dimensions. CoRR abs/2112.04583 (2021) - 2020
- [j86]Nayyar Abbas Zaidi, Yang Du, Geoffrey I. Webb:
On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers. IEEE Access 8: 198856-198871 (2020) - [j85]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:
iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data. Briefings Bioinform. 21(3): 1047-1057 (2020) - [j84]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:
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact. Briefings Bioinform. 21(3): 1069-1079 (2020) - [j83]Zhen Chen, Pei Zhao, Fuyi Li, Yanan Wang, Alexander Ian Smith, Geoffrey I. Webb, Tatsuya Akutsu, Abdelkader Baggag, Halima Bensmail, Jiangning Song:
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences. Briefings Bioinform. 21(5): 1676-1696 (2020) - [j82]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:
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites. Bioinform. 36(4): 1057-1065 (2020) - [j81]Chang Wei Tan, François Petitjean, Geoffrey I. Webb:
FastEE: Fast Ensembles of Elastic Distances for time series classification. Data Min. Knowl. Discov. 34(1): 231-272 (2020) - [j80]Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb:
TS-CHIEF: a scalable and accurate forest algorithm for time series classification. Data Min. Knowl. Discov. 34(3): 742-775 (2020) - [j79]Angus Dempster, François Petitjean, Geoffrey I. Webb:
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels. Data Min. Knowl. Discov. 34(5): 1454-1495 (2020) - [j78]Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean:
InceptionTime: Finding AlexNet for time series classification. Data Min. Knowl. Discov. 34(6): 1936-1962 (2020) - [j77]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:
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information. Genom. Proteom. Bioinform. 18(1): 52-64 (2020) - [j76]Zhen Chen, Pei Zhao, Fuyi Li, André Leier, Tatiana T. Marquez-Lago, Geoffrey I. Webb, Abdelkader Baggag, Halima Bensmail, Jiangning Song:
PROSPECT: A web server for predicting protein histidine phosphorylation sites. J. Bioinform. Comput. Biol. 18(4): 2050018:1-2050018:17 (2020) - [j75]Igor Goldenberg, Geoffrey I. Webb:
PCA-based drift and shift quantification framework for multidimensional data. Knowl. Inf. Syst. 62(7): 2835-2854 (2020) - [j74]Shenglei Chen, Geoffrey I. Webb, Linyuan Liu, Xin Ma:
A novel selective naïve Bayes algorithm. Knowl. Based Syst. 192: 105361 (2020) - [j73]Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb:
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Nonstationary Data Streams. IEEE Trans. Fuzzy Syst. 28(7): 1315-1328 (2020) - [c84]Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik:
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. DSAA 2020: 546-555 - [c83]Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean:
Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series. IGARSS 2020: 1074-1077 - [c82]Geoffrey I. Webb:
Time Series Classification at Scale. LWDA 2020: 2 - [e14]Geoffrey I. Webb, Zhongfei Zhang, Vincent S. Tseng, Graham Williams, Michalis Vlachos, Longbing Cao:
7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020. IEEE 2020, ISBN 978-1-7281-8206-3 [contents] - [d169]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
CIF 2016 Dataset. Version 1. Zenodo, 2020 [all versions] - [d168]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Tourism Yearly Dataset. Version 1. Zenodo, 2020 [all versions] - [d167]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Monthly Dataset. Version 1. Zenodo, 2020 [all versions] - [d166]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d165]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Daily Dataset. Version 1. Zenodo, 2020 [all versions] - [d164]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Hourly Dataset. Version 1. Zenodo, 2020 [all versions] - [d163]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Melbourne Pedestrian Counts Dataset. Version 1. Zenodo, 2020 [all versions] - [d162]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Daily Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d161]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d160]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d159]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
London Smart Meters Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d158]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
London Smart Meters Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d157]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d156]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d155]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d154]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d153]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions] - [d152]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions] - [d151]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d150]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Melbourne Pedestrian Counts Dataset. Version 2. Zenodo, 2020 [all versions] - [d149]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Hourly Dataset. Version 2. Zenodo, 2020 [all versions] - [d148]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Daily Dataset. Version 2. Zenodo, 2020 [all versions] - [d147]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d146]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Monthly Dataset. Version 2. Zenodo, 2020 [all versions] - [d145]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Quarterly Dataset. Version 2. Zenodo, 2020 [all versions] - [d144]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Yearly Dataset. Version 3. Zenodo, 2020 [all versions] - [d143]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Other Dataset. Version 2. Zenodo, 2020 [all versions] - [d142]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Monthly Dataset. Version 2. Zenodo, 2020 [all versions] - [d141]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
CIF 2016 Dataset. Version 2. Zenodo, 2020 [all versions] - [d140]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Quarterly Dataset. Version 2. Zenodo, 2020 [all versions] - [d139]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Yearly Dataset. Version 2. Zenodo, 2020 [all versions] - [d138]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Yearly Dataset. Version 3. Zenodo, 2020 [all versions] - [d137]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Monthly Dataset. Version 2. Zenodo, 2020 [all versions] - [d136]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Quarterly Dataset. Version 2. Zenodo, 2020 [all versions] - [d135]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Sunspot Daily Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d134]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Sunspot Daily Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d133]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Solar Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d132]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Solar Dataset (10 Minutes Observations). Version 2. Zenodo, 2020 [all versions] - [d131]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Electricity Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d130]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Electricity Hourly Dataset. Version 2. Zenodo, 2020 [all versions] - [d129]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Traffic Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d128]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Traffic Hourly Dataset. Version 2. Zenodo, 2020 [all versions] - [d127]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
NN5 Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d126]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
NN5 Daily Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d125]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
NN5 Daily Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d124]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Tourism Yearly Dataset. Version 2. Zenodo, 2020 [all versions] - [d123]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Tourism Monthly Dataset. Version 2. Zenodo, 2020 [all versions] - [d122]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Tourism Quarterly Dataset. Version 2. Zenodo, 2020 [all versions] - [d121]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
CIF 2016 Dataset. Version 3. Zenodo, 2020 [all versions] - [d120]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
London Smart Meters Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d119]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Daily Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d118]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d117]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
London Smart Meters Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d116]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Electricity Demand (Elecdemand) Dataset. Version 1. Zenodo, 2020 [all versions] - [d115]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Saugeen River Flow (SaugeenDay) Dataset. Version 1. Zenodo, 2020 [all versions] - [d114]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Tourism Quarterly Dataset. Version 1. Zenodo, 2020 [all versions] - [d113]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
US Births Dataset. Version 1. Zenodo, 2020 [all versions] - [d112]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
CIF 2016 Dataset. Version 4. Zenodo, 2020 [all versions] - [d111]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Car Parts Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d110]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Car Parts Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d109]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Hospital Dataset. Version 1. Zenodo, 2020 [all versions] - [d108]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
COVID-19 Deaths Dataset. Version 1. Zenodo, 2020 [all versions] - [d107]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Sunspot Daily Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions] - [d106]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Sunspot Daily Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions] - [d105]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Tourism Monthly Dataset. Version 1. Zenodo, 2020 [all versions] - [d104]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
NN5 Daily Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d103]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
NN5 Daily Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d102]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
NN5 Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d101]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Traffic Hourly Dataset. Version 1. Zenodo, 2020 [all versions] - [d100]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Traffic Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d99]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Electricity Hourly Dataset. Version 1. Zenodo, 2020 [all versions] - [d98]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Electricity Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d97]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Solar Dataset (10 Minutes Observations). Version 1. Zenodo, 2020 [all versions] - [d96]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Solar Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d95]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Sunspot Daily Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d94]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Sunspot Daily Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d93]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Yearly Dataset. Version 1. Zenodo, 2020 [all versions] - [d92]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Quarterly Dataset. Version 1. Zenodo, 2020 [all versions] - [d91]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Monthly Dataset. Version 1. Zenodo, 2020 [all versions] - [d90]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Yearly Dataset. Version 2. Zenodo, 2020 [all versions] - [d89]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Yearly Dataset. Version 1. Zenodo, 2020 [all versions] - [d88]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Quarterly Dataset. Version 1. Zenodo, 2020 [all versions] - [d87]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Monthly Dataset. Version 1. Zenodo, 2020 [all versions] - [d86]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Other Dataset. Version 1. Zenodo, 2020 [all versions] - [d85]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Yearly Dataset. Version 1. Zenodo, 2020 [all versions] - [d84]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Yearly Dataset. Version 2. Zenodo, 2020 [all versions] - [d83]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Quarterly Dataset. Version 1. Zenodo, 2020 [all versions] - [d82]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Wind Power Dataset (4 Seconds Observations). Version 1. Zenodo, 2020 [all versions] - [d81]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Solar Power Dataset (4 Seconds Observations). Version 1. Zenodo, 2020 [all versions] - [d80]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Wind Farms Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d79]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Wind Farms Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d78]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Farms Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d77]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Farms Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d76]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Solar Power Dataset (4 Seconds Observations). Version 2. Zenodo, 2020 [all versions] - [d75]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Power Dataset (4 Seconds Observations). Version 2. Zenodo, 2020 [all versions] - [d74]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Sunspot Daily Dataset (without Missing Values). Version 4. Zenodo, 2020 [all versions] - [d73]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Sunspot Daily Dataset (with Missing Values). Version 4. Zenodo, 2020 [all versions] - [d72]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M1 Yearly Dataset. Version 4. Zenodo, 2020 [all versions] - [d71]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Yearly Dataset. Version 3. Zenodo, 2020 [all versions] - [d70]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Quarterly Dataset. Version 3. Zenodo, 2020 [all versions] - [d69]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Monthly Dataset. Version 3. Zenodo, 2020 [all versions] - [d68]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Other Dataset. Version 3. Zenodo, 2020 [all versions] - [d67]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Yearly Dataset. Version 4. Zenodo, 2020 [all versions] - [d66]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Quarterly Dataset. Version 3. Zenodo, 2020 [all versions] - [d65]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Monthly Dataset. Version 3. Zenodo, 2020 [all versions] - [d64]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d63]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Daily Dataset. Version 3. Zenodo, 2020 [all versions] - [d62]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
London Smart Meters Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions] - [d61]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Hourly Dataset. Version 3. Zenodo, 2020 [all versions] - [d60]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Melbourne Pedestrian Counts Dataset. Version 3. Zenodo, 2020 [all versions] - [d59]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Kaggle Wikipedia Web Traffic Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d58]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
KDD Cup Dataset (with Missing Values). Version 4. Zenodo, 2020 [all versions] - [d57]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
KDD Cup Dataset (without Missing Values). Version 4. Zenodo, 2020 [all versions] - [d56]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
COVID-19 Deaths Dataset. Version 2. Zenodo, 2020 [all versions] - [d55]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Hospital Dataset. Version 2. Zenodo, 2020 [all versions] - [d54]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Car Parts Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d53]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Car Parts Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d52]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
CIF 2016 Dataset. Version 5. Zenodo, 2020 [all versions] - [d51]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
US Births Dataset. Version 2. Zenodo, 2020 [all versions] - [d50]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Saugeen River Flow (SaugeenDay) Dataset. Version 2. Zenodo, 2020 [all versions] - [d49]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Electricity Demand (Elecdemand) Dataset. Version 2. Zenodo, 2020 [all versions] - [d48]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
London Smart Meters Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions] - [d47]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions] - [d46]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Kaggle Wikipedia Web Traffic Daily Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions] - [d45]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Tourism Quarterly Dataset. Version 3. Zenodo, 2020 [all versions] - [d44]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Tourism Monthly Dataset. Version 3. Zenodo, 2020 [all versions] - [d43]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Tourism Yearly Dataset. Version 3. Zenodo, 2020 [all versions] - [d42]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
NN5 Daily Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions] - [d41]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
NN5 Daily Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions] - [d40]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
NN5 Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d39]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Traffic Hourly Dataset. Version 3. Zenodo, 2020 [all versions] - [d38]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Traffic Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d37]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Electricity Hourly Dataset. Version 3. Zenodo, 2020 [all versions] - [d36]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Electricity Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d35]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Solar Dataset (10 Minutes Observations). Version 3. Zenodo, 2020 [all versions] - [d34]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Solar Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d33]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M1 Quarterly Dataset. Version 3. Zenodo, 2020 [all versions] - [d32]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M1 Monthly Dataset. Version 3. Zenodo, 2020 [all versions] - [d31]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso:
FRED-MD Dataset. Version 1. Zenodo, 2020 [all versions] - [d30]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso:
Weather Dataset. Version 1. Zenodo, 2020 [all versions] - [d29]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso:
Dominick Dataset. Version 1. Zenodo, 2020 [all versions] - [d28]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso, Rob J. Hyndman:
Dominick Dataset. Version 2. Zenodo, 2020 [all versions] - [d27]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso, Rob J. Hyndman:
Weather Dataset. Version 2. Zenodo, 2020 [all versions] - [d26]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso, Rob J. Hyndman:
FRED-MD Dataset. Version 2. Zenodo, 2020 [all versions] - [d25]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Appliances Energy Dataset. Zenodo, 2020 - [d24]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Monash, UEA & UCR Time Series Regression Datasets. Version 1. Zenodo, 2020 [all versions] - [d23]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Australia Rainfall Dataset. Zenodo, 2020 - [d22]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Beijing PM10 Dataset. Zenodo, 2020 - [d21]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Beijing PM2.5 Dataset. Zenodo, 2020 - [d20]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Benzene Concentration Dataset. Zenodo, 2020 - [d19]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Heart Rate Dataset (32 seconds window). Version 1. Zenodo, 2020 [all versions] - [d18]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Respiratory Rate Dataset (32 seconds window). Version 1. Zenodo, 2020 [all versions] - [d17]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Blood Oxygen Saturation Dataset (32 seconds window). Version 1. Zenodo, 2020 [all versions] - [d16]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Covid-19 Death Rate Dataset. Zenodo, 2020 - [d15]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Flood Modeling Dataset 1. Zenodo, 2020 - [d14]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Flood Modeling Dataset 2. Zenodo, 2020 - [d13]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Flood Modeling Dataset 3. Zenodo, 2020 - [d12]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Household Active Power Consumption Dataset. Zenodo, 2020 - [d11]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Household Reactive Power Consumption Dataset. Zenodo, 2020 - [d10]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
IEEEPPG Dataset. Zenodo, 2020 - [d9]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Live Fuel Moisture Content Dataset. Version 1. Zenodo, 2020 [all versions] - [d8]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
News Headline Sentiment Dataset. Zenodo, 2020 - [d7]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
News Title Sentiment Dataset. Zenodo, 2020 - [d6]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
PPGDalia Dataset. Zenodo, 2020 - [d5]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Heart Rate Dataset (32 seconds window). Version 2. Zenodo, 2020 [all versions] - [d4]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Respiratory Rate Dataset (32 seconds window). Version 2. Zenodo, 2020 [all versions] - [d3]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Blood Oxygen Saturation Dataset (32 seconds window). Version 2. Zenodo, 2020 [all versions] - [d2]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Live Fuel Moisture Content Dataset. Version 2. Zenodo, 2020 [all versions] - [d1]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Monash, UEA & UCR Time Series Regression Datasets. Version 2. Zenodo, 2020 [all versions] - [i31]Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean:
A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping. CoRR abs/2005.11930 (2020) - [i30]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Monash University, UEA, UCR Time Series Regression Archive. CoRR abs/2006.10996 (2020) - [i29]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Time Series Regression. CoRR abs/2006.12672 (2020) - [i28]Matthieu Herrmann, Geoffrey I. Webb:
Early Abandoning PrunedDTW and its application to similarity search. CoRR abs/2010.05371 (2020) - [i27]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso:
A Strong Baseline for Weekly Time Series Forecasting. CoRR abs/2010.08158 (2020) - [i26]Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi, Albert Bifet:
Emergent and Unspecified Behaviors in Streaming Decision Trees. CoRR abs/2010.08199 (2020) - [i25]Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb:
An Eager Splitting Strategy for Online Decision Trees. CoRR abs/2010.10935 (2020) - [i24]Yuan Jin, Wray L. Buntine, François Petitjean, Geoffrey I. Webb:
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning. CoRR abs/2011.06428 (2020) - [i23]Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb:
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification. CoRR abs/2012.08791 (2020) - [i22]Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir:
Ensembles of Localised Models for Time Series Forecasting. CoRR abs/2012.15059 (2020) - [i21]Georg Krempl, Vera Hofer, Geoffrey I. Webb, Eyke Hüllermeier:
Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372). Dagstuhl Reports 10(4): 1-36 (2020)
2010 – 2019
- 2019
- [j72]Jiangning Song, Yanan Wang, Fuyi Li, Tatsuya Akutsu, Neil D. Rawlings, Geoffrey I. Webb, Kuo-Chen Chou:
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites. Briefings Bioinform. 20(2): 638-658 (2019) - [j71]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:
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches. Briefings Bioinform. 20(3): 931-951 (2019) - [j70]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:
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods. Briefings Bioinform. 20(6): 2150-2166 (2019) - [j69]Yanju Zhang, Ruopeng Xie, Jiawei Wang, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Geoffrey I. Webb, Kuo-Chen Chou, Jiangning Song:
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework. Briefings Bioinform. 20(6): 2185-2199 (2019) - [j68]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:
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites. Briefings Bioinform. 20(6): 2267-2290 (2019) - [j67]Fuyi Li, Yang Zhang, Anthony W. Purcell, Geoffrey I. Webb, Kuo-Chen Chou, Trevor Lithgow, Chen Li, Jiangning Song:
Positive-unlabelled learning of glycosylation sites in the human proteome. BMC Bioinform. 20(1): 112:1-112:17 (2019) - [j66]Xiaochuan Wang, Chen Li, Fuyi Li, Varun S. Sharma, Jiangning Song, Geoffrey I. Webb:
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models. BMC Bioinform. 20(1): 602:1-602:12 (2019) - [j65]Wilhelmiina Hämäläinen, Geoffrey I. Webb:
A tutorial on statistically sound pattern discovery. Data Min. Knowl. Discov. 33(2): 325-377 (2019) - [j64]Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb:
Proximity Forest: an effective and scalable distance-based classifier for time series. Data Min. Knowl. Discov. 33(3): 607-635 (2019) - [j63]Hualong Yu, Geoffrey I. Webb:
Adaptive online extreme learning machine by regulating forgetting factor by concept drift map. Neurocomputing 343: 141-153 (2019) - [j62]Igor Goldenberg, Geoffrey I. Webb:
Survey of distance measures for quantifying concept drift and shift in numeric data. Knowl. Inf. Syst. 60(2): 591-615 (2019) - [j61]Charlotte Pelletier, Geoffrey I. Webb, François Petitjean:
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series. Remote. Sens. 11(5): 523 (2019) - [c81]Charlotte Pelletier, Geoffrey I. Webb, François Petitjean:
Deep Learning for the Classification of Sentinel-2 Image Time Series. IGARSS 2019: 461-464 - [c80]Benjamin Lucas, Charlotte Pelletier, Jordi Inglada, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean:
Exploring Data Quantity Requirements for Domain Adaptation in the Classification of Satellite Image Time Series. MultiTemp 2019: 1-4 - [c79]Charlotte Pelletier, Zehui Ji, Olivier Hagolle, Elizabeth Morse-McNabb, Kathryn Sheffield, Geoffrey I. Webb, François Petitjean:
Using Sentinel-2 Image Time Series to map the State of Victoria, Australia. MultiTemp 2019: 1-4 - [c78]Chang Wei Tan, François Petitjean, Geoffrey I. Webb:
Elastic bands across the path: A new framework and method to lower bound DTW. SDM 2019: 522-530 - [i20]Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb:
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification. CoRR abs/1906.10329 (2019) - [i19]Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean:
InceptionTime: Finding AlexNet for Time Series Classification. CoRR abs/1909.04939 (2019) - [i18]Chang Wei Tan, François Petitjean, Eamonn J. Keogh, Geoffrey I. Webb:
Time series classification for varying length series. CoRR abs/1910.04341 (2019) - [i17]Angus Dempster, François Petitjean, Geoffrey I. Webb:
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels. CoRR abs/1910.13051 (2019) - 2018
- [j60]Yi An, Jiawei Wang, Chen Li, André Leier, Tatiana T. Marquez-Lago, Jonathan Wilksch, Yang Zhang, Geoffrey I. Webb, Jiangning Song, Trevor Lithgow:
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI. Briefings Bioinform. 19(1): 148-161 (2018) - [j59]Huilin Wang, Liubin Feng, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song, Donghai Lin:
Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity. Briefings Bioinform. 19(5): 838-852 (2018) - [j58]Jiangning Song, Fuyi Li, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Gholamreza Haffari, Kuo-Chen Chou, Geoffrey I. Webb, Robert N. Pike:
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy. Bioinform. 34(4): 684-687 (2018) - [j57]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:
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences. Bioinform. 34(14): 2499-2502 (2018) - [j56]Geoffrey I. Webb, Loong Kuan Lee, Bart Goethals, François Petitjean:
Analyzing concept drift and shift from sample data. Data Min. Knowl. Discov. 32(5): 1179-1199 (2018) - [j55]Wenzhong Shi, An-Shu Zhang, Geoffrey I. Webb:
Mining significant crisp-fuzzy spatial association rules. Int. J. Geogr. Inf. Sci. 32(6): 1247-1270 (2018) - [j54]François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi:
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. Mach. Learn. 107(8-10): 1303-1331 (2018) - [c77]Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi:
Extremely Fast Decision Tree. KDD 2018: 1953-1962 - [c76]Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb:
Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data. KDD 2018: 2003-2011 - [c75]Chang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, François Petitjean:
Efficient search of the best warping window for Dynamic Time Warping. SDM 2018: 225-233 - [c74]Nayyar Abbas Zaidi, François Petitjean, Geoffrey I. Webb:
Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities. SDM 2018: 459-467 - [e13]Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10937, Springer 2018, ISBN 978-3-319-93033-6 [contents] - [e12]Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10938, Springer 2018, ISBN 978-3-319-93036-7 [contents] - [e11]Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III. Lecture Notes in Computer Science 10939, Springer 2018, ISBN 978-3-319-93039-8 [contents] - [i16]Nayyar Abbas Zaidi, Geoffrey I. Webb, François Petitjean, Germain Forestier:
On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error. CoRR abs/1801.09354 (2018) - [i15]Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi:
Extremely Fast Decision Tree. CoRR abs/1802.08780 (2018) - [i14]Fengxiang He, Tongliang Liu, Geoffrey I. Webb, Dacheng Tao:
Instance-Dependent PU Learning by Bayesian Optimal Relabeling. CoRR abs/1808.02180 (2018) - [i13]Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb:
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams. CoRR abs/1808.08517 (2018) - [i12]Chang Wei Tan, François Petitjean, Geoffrey I. Webb:
Elastic bands across the path: A new framework and methods to lower bound DTW. CoRR abs/1808.09617 (2018) - [i11]Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb:
Proximity Forest: An effective and scalable distance-based classifier for time series. CoRR abs/1808.10594 (2018) - [i10]Charlotte Pelletier, Geoffrey I. Webb, François Petitjean:
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series. CoRR abs/1811.10166 (2018) - 2017
- [j53]Huilin Wang, Liubin Feng, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song, Donghai Lin:
Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity. Briefings Bioinform. 18(6): 1092 (2017) - [j52]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:
POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles. Bioinform. 33(17): 2756-2758 (2017) - [j51]Thilak L. Fernando, Geoffrey I. Webb:
SimUSF: an efficient and effective similarity measure that is invariant to violations of the interval scale assumption. Data Min. Knowl. Discov. 31(1): 264-286 (2017) - [j50]Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang:
Selective AnDE for large data learning: a low-bias memory constrained approach. Knowl. Inf. Syst. 50(2): 475-503 (2017) - [j49]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck:
Efficient parameter learning of Bayesian network classifiers. Mach. Learn. 106(9-10): 1289-1329 (2017) - [j48]Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang:
Sample-Based Attribute Selective An DE for Large Data. IEEE Trans. Knowl. Data Eng. 29(1): 172-185 (2017) - [c73]Germain Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn J. Keogh:
Generating Synthetic Time Series to Augment Sparse Datasets. ICDM 2017: 865-870 - [c72]Chang Wei Tan, Geoffrey I. Webb, François Petitjean:
Indexing and classifying gigabytes of time series under time warping. SDM 2017: 282-290 - [c71]Wilhelmiina Hämäläinen, Geoffrey I. Webb:
Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining. SDM 2017: 309-317 - [c70]Nayyar Abbas Zaidi, Geoffrey I. Webb:
A Fast Trust-Region Newton Method for Softmax Logistic Regression. SDM 2017: 705-713 - [e10]Claude Sammut, Geoffrey I. Webb:
Encyclopedia of Machine Learning and Data Mining. Springer 2017, ISBN 978-1-4899-7685-7 [contents] - [r33]Geoffrey I. Webb:
Algorithm Evaluation. Encyclopedia of Machine Learning and Data Mining 2017: 40-41 - [r32]Fei Zheng, Geoffrey I. Webb:
Averaged One-Dependence Estimators. Encyclopedia of Machine Learning and Data Mining 2017: 85-87 - [r31]Geoffrey I. Webb:
Bayes' Rule. Encyclopedia of Machine Learning and Data Mining 2017: 99 - [r30]Zahraa Said Abdallah, Lan Du, Geoffrey I. Webb:
Data Preparation. Encyclopedia of Machine Learning and Data Mining 2017: 318-327 - [r29]Geoffrey I. Webb:
Evaluation of Learning Algorithms. Encyclopedia of Machine Learning and Data Mining 2017: 415-416 - [r28]Bin Liu, Geoffrey I. Webb:
Generative and Discriminative Learning. Encyclopedia of Machine Learning and Data Mining 2017: 565-566 - [r27]Geoffrey I. Webb:
Lazy Learning. Encyclopedia of Machine Learning and Data Mining 2017: 702 - [r26]Geoffrey I. Webb:
Model Evaluation. Encyclopedia of Machine Learning and Data Mining 2017: 844-845 - [r25]Geoffrey I. Webb:
MultiBoosting. Encyclopedia of Machine Learning and Data Mining 2017: 863-864 - [r24]Geoffrey I. Webb:
Naïve Bayes. Encyclopedia of Machine Learning and Data Mining 2017: 895-896 - [r23]Geoffrey I. Webb:
Occam's Razor. Encyclopedia of Machine Learning and Data Mining 2017: 920-921 - [r22]Geoffrey I. Webb:
Overfitting. Encyclopedia of Machine Learning and Data Mining 2017: 947-948 - [r21]Geoffrey I. Webb:
Posterior Probability. Encyclopedia of Machine Learning and Data Mining 2017: 989-990 - [r20]Geoffrey I. Webb:
Prior Probability. Encyclopedia of Machine Learning and Data Mining 2017: 1006 - [r19]Fei Zheng, Geoffrey I. Webb:
Semi-naive Bayesian Learning. Encyclopedia of Machine Learning and Data Mining 2017: 1137-1142 - [r18]Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb:
Supervised Descriptive Rule Induction. Encyclopedia of Machine Learning and Data Mining 2017: 1210-1213 - [r17]Fei Zheng, Geoffrey I. Webb:
Tree Augmented Naive Bayes. Encyclopedia of Machine Learning and Data Mining 2017: 1283-1284 - [i9]Nayyar Abbas Zaidi, Yang Du, Geoffrey I. Webb:
On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers. CoRR abs/1701.07114 (2017) - [i8]Geoffrey I. Webb, Loong Kuan Lee, François Petitjean, Bart Goethals:
Understanding Concept Drift. CoRR abs/1704.00362 (2017) - [i7]François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi:
Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes. CoRR abs/1708.07581 (2017) - [i6]Wilhelmiina Hämäläinen, Geoffrey I. Webb:
Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining. CoRR abs/1709.03915 (2017) - 2016
- [j47]An-Shu Zhang, Wenzhong Shi, Geoffrey I. Webb:
Mining significant association rules from uncertain data. Data Min. Knowl. Discov. 30(4): 928-963 (2016) - [j46]Geoffrey I. Webb, Roy Hyde, Hong Cao, Hai-Long Nguyen, François Petitjean:
Characterizing concept drift. Data Min. Knowl. Discov. 30(4): 964-994 (2016) - [j45]François Petitjean, Tao Li, Nikolaj Tatti, Geoffrey I. Webb:
Skopus: Mining top-k sequential patterns under leverage. Data Min. Knowl. Discov. 30(5): 1086-1111 (2016) - [j44]Ana M. Martínez, Geoffrey I. Webb, Shenglei Chen, Nayyar Abbas Zaidi:
Scalable Learning of Bayesian Network Classifiers. J. Mach. Learn. Res. 17: 44:1-44:35 (2016) - [j43]François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh:
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm. Knowl. Inf. Syst. 47(1): 1-26 (2016) - [j42]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Jesús Cerquides:
ALRn: accelerated higher-order logistic regression. Mach. Learn. 104(2-3): 151-194 (2016) - [c69]Geoffrey I. Webb, François Petitjean:
A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests. KDD 2016: 1255-1264 - [c68]François Petitjean, Geoffrey I. Webb:
Scalable Learning of Graphical Models. KDD 2016: 2131-2132 - [c67]Nayyar Abbas Zaidi, François Petitjean, Geoffrey I. Webb:
Preconditioning an Artificial Neural Network Using Naive Bayes. PAKDD (1) 2016: 341-353 - 2015
- [j41]Fuyi Li, Chen Li, Mingjun Wang, Geoffrey I. Webb, Yang Zhang, James C. Whisstock, Jiangning Song:
GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome. Bioinform. 31(9): 1411-1419 (2015) - [j40]Cheng Soon Ong, Wray L. Buntine, Tu Bao Ho, Masashi Sugiyama, Geoffrey I. Webb:
Introduction: special issue of selected papers of ACML 2013. Mach. Learn. 99(2): 165-167 (2015) - [c66]François Petitjean, Geoffrey I. Webb:
Scaling log-linear analysis to datasets with thousands of variables. SDM 2015: 469-477 - [e9]Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams:
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015. ACM 2015, ISBN 978-1-4503-3664-2 [contents] - [i5]Tao Li, Geoffrey I. Webb, François Petitjean:
Exact discovery of the most interesting sequential patterns. CoRR abs/1506.08009 (2015) - [i4]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean:
Deep Broad Learning - Big Models for Big Data. CoRR abs/1509.01346 (2015) - [i3]Geoffrey I. Webb, Roy Hyde, Hong Cao, Hai-Long Nguyen, François Petitjean:
Characterizing Concept Drift. CoRR abs/1511.03816 (2015) - 2014
- [j39]Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich:
A Data Scientist's Guide to Start-Ups. Big Data 2(3): 117-128 (2014) - [c65]François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh:
Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification. ICDM 2014: 470-479 - [c64]François Petitjean, Lloyd Allison, Geoffrey I. Webb:
A Statistically Efficient and Scalable Method for Log-Linear Analysis of High-Dimensional Data. ICDM 2014: 480-489 - [c63]Geoffrey I. Webb:
Contrary to Popular Belief Incremental Discretization can be Sound, Computationally Efficient and Extremely Useful for Streaming Data. ICDM 2014: 1031-1036 - [c62]Nayyar Abbas Zaidi, Mark James Carman, Jesús Cerquides, Geoffrey I. Webb:
Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression. ICDM 2014: 1097-1102 - [c61]Raghu Ramakrishnan, Geoffrey I. Webb:
Does social good justify risking personal privacy? KDD 2014: 1965 - [c60]Wilhelmiina Hämäläinen, Geoffrey I. Webb:
Statistically sound pattern discovery. KDD 2014: 1976 - [c59]Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb:
Highly Scalable Attribute Selection for Averaged One-Dependence Estimators. PAKDD (2) 2014: 86-97 - [c58]Wilhelmiina Hämäläinen, François Petitjean, Geoffrey I. Webb:
Preface to the 1st ECML/PKDD workshop on Statistically Sound Data Mining. SSDM@ECML/PKDD 2014: 1-2 - [e8]Wilhelmiina Hämäläinen, François Petitjean, Geoffrey I. Webb:
1st ECML/PKDD Workshop on Statistically Sound Data Mining, SSDM 2014, held at ECML/PKDD 2014, Nancy, France, September 15, 2014. JMLR Workshop and Conference Proceedings 47, JMLR.org 2014 [contents] - 2013
- [j38]Nayyar Abbas Zaidi, Jesús Cerquides, Mark James Carman, Geoffrey I. Webb:
Alleviating naive Bayes attribute independence assumption by attribute weighting. J. Mach. Learn. Res. 14(1): 1947-1988 (2013) - [j37]Geoffrey I. Webb, Jilles Vreeken:
Efficient Discovery of the Most Interesting Associations. ACM Trans. Knowl. Discov. Data 8(3): 15:1-15:31 (2013) - [c57]François Petitjean, Geoffrey I. Webb, Ann E. Nicholson:
Scaling Log-Linear Analysis to High-Dimensional Data. ICDM 2013: 597-606 - [c56]Foster J. Provost, Geoffrey I. Webb:
Panel: a data scientist's guide to making money from start-ups. KDD 2013: 1445 - [c55]Nayyar Abbas Zaidi, Geoffrey I. Webb:
Fast and Effective Single Pass Bayesian Learning. PAKDD (1) 2013: 149-160 - 2012
- [j36]Geoffrey I. Webb, Janice R. Boughton, Fei Zheng, Kai Ming Ting, Houssam Salem:
Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification. Mach. Learn. 86(2): 233-272 (2012) - [j35]Fei Zheng, Geoffrey I. Webb, Pramuditha Suraweera, Liguang Zhu:
Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning. Mach. Learn. 87(1): 93-125 (2012) - [c54]Geoffrey I. Webb:
Discovering Associations in High-Dimensional Data. ADC 2012: 7 - [c53]Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez:
Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers. HAIS (2) 2012: 151-162 - [c52]Houssam Salem, Pramuditha Suraweera, Geoffrey I. Webb, Janice R. Boughton:
Techniques for Efficient Learning without Search. PAKDD (1) 2012: 50-61 - [e7]Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu:
12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-4649-8 [contents] - [e6]Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu:
12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-5164-5 [contents] - 2011
- [j34]Jiangning Song, Hao Tan, Sarah E. Boyd, Hong-Bin Shen, Khalid Mahmood, Geoffrey I. Webb, Tatsuya Akutsu, James C. Whisstock, Robert N. Pike:
Bioinformatic Approaches for Predicting substrates of Proteases. J. Bioinform. Comput. Biol. 9(1): 149-178 (2011) - [j33]Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb:
Feature-subspace aggregating: ensembles for stable and unstable learners. Mach. Learn. 82(3): 375-397 (2011) - [j32]Geoffrey I. Webb:
Filtered-top-k association discovery. WIREs Data Mining Knowl. Discov. 1(3): 183-192 (2011) - 2010
- [j31]Jiangning Song, Hao Tan, Hong-Bin Shen, Khalid Mahmood, Sarah E. Boyd, Geoffrey I. Webb, Tatsuya Akutsu, James C. Whisstock:
Cascleave: towards more accurate prediction of caspase substrate cleavage sites. Bioinform. 26(6): 752-760 (2010) - [j30]Khalid Mahmood, Arun Siddharth Konagurthu, Jiangning Song, Ashley M. Buckle, Geoffrey I. Webb, James C. Whisstock:
EGM: encapsulated gene-by-gene matching to identify gene orthologs and homologous segments in genomes. Bioinform. 26(17): 2076-2084 (2010) - [j29]Geoffrey I. Webb:
Self-sufficient itemsets: An approach to screening potentially interesting associations between items. ACM Trans. Knowl. Discov. Data 4(1): 3:1-3:20 (2010) - [p4]Ying Yang, Geoffrey I. Webb, Xindong Wu:
Discretization Methods. Data Mining and Knowledge Discovery Handbook 2010: 101-116 - [e5]Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4256-0 [contents] - [e4]Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4257-7 [contents] - [e3]Claude Sammut, Geoffrey I. Webb:
Encyclopedia of Machine Learning. Springer 2010, ISBN 978-0-387-30768-8 [contents] - [r16]Geoffrey I. Webb:
Algorithm Evaluation. Encyclopedia of Machine Learning 2010: 35-36 - [r15]Fei Zheng, Geoffrey I. Webb:
Averaged One-Dependence Estimators. Encyclopedia of Machine Learning 2010: 63-64 - [r14]Geoffrey I. Webb:
Bayes Rule. Encyclopedia of Machine Learning 2010: 74-75 - [r13]Geoffrey I. Webb:
Data Preparation. Encyclopedia of Machine Learning 2010: 259-260 - [r12]Bin Liu, Geoffrey I. Webb:
Generative and Discriminative Learning. Encyclopedia of Machine Learning 2010: 454-455 - [r11]Geoffrey I. Webb:
Lazy Learning. Encyclopedia of Machine Learning 2010: 571-572 - [r10]Geoffrey I. Webb:
Model Evaluation. Encyclopedia of Machine Learning 2010: 683 - [r9]Geoffrey I. Webb:
MultiBoosting. Encyclopedia of Machine Learning 2010: 699-701 - [r8]Geoffrey I. Webb:
Naïve Bayes. Encyclopedia of Machine Learning 2010: 713-714 - [r7]Geoffrey I. Webb:
Occam's Razor. Encyclopedia of Machine Learning 2010: 735 - [r6]Geoffrey I. Webb:
Overfitting. Encyclopedia of Machine Learning 2010: 744 - [r5]Geoffrey I. Webb:
Posterior Probability. Encyclopedia of Machine Learning 2010: 780 - [r4]Geoffrey I. Webb:
Prior Probability. Encyclopedia of Machine Learning 2010: 782 - [r3]Fei Zheng, Geoffrey I. Webb:
Semi-Naive Bayesian Learning. Encyclopedia of Machine Learning 2010: 889-892 - [r2]Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb:
Supervised Descriptive Rule Induction. Encyclopedia of Machine Learning 2010: 938-941 - [r1]Fei Zheng, Geoffrey I. Webb:
Tree Augmented Naive Bayes. Encyclopedia of Machine Learning 2010: 990-991
2000 – 2009
- 2009
- [j28]Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb:
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining. J. Mach. Learn. Res. 10: 377-403 (2009) - [j27]Ying Yang, Geoffrey I. Webb:
Discretization for naive-Bayes learning: managing discretization bias and variance. Mach. Learn. 74(1): 39-74 (2009) - [j26]Bei Hui, Ying Yang, Geoffrey I. Webb:
Anytime classification for a pool of instances. Mach. Learn. 77(1): 61-102 (2009) - [c51]Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb:
FaSS: Ensembles for Stable Learners. MCS 2009: 364-374 - [c50]Bin Liu, Ying Yang, Geoffrey I. Webb, Janice R. Boughton:
A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification. PAKDD 2009: 302-313 - 2008
- [j25]Geoffrey I. Webb:
Discovering significant patterns. Mach. Learn. 71(1): 131 (2008) - [j24]Geoffrey I. Webb:
Layered critical values: a powerful direct-adjustment approach to discovering significant patterns. Mach. Learn. 71(2-3): 307-323 (2008) - [c49]Geoffrey I. Webb:
Multi-Strategy Ensemble Learning, Ensembles of Bayesian Classifiers, and the Problem of False Discoveries. AusDM 2008: 15 - 2007
- [j23]Geoffrey I. Webb:
Editorial. Data Min. Knowl. Discov. 15(1): 1-2 (2007) - [j22]Geoffrey I. Webb:
Discovering Significant Patterns. Mach. Learn. 68(1): 1-33 (2007) - [j21]Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting:
Classifying under computational resource constraints: anytime classification using probabilistic estimators. Mach. Learn. 69(1): 35-53 (2007) - [j20]Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting:
To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators. IEEE Trans. Knowl. Data Eng. 19(12): 1652-1665 (2007) - [c48]Fei Zheng, Geoffrey I. Webb:
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators. ECML 2007: 490-501 - [c47]Geoffrey I. Webb:
Finding the Real Patterns. PAKDD 2007: 6 - 2006
- [c46]Jingli Lu, Ying Yang, Geoffrey I. Webb:
Incremental Discretization for Naïve-Bayes Classifier. ADMA 2006: 223-238 - [c45]Geoffrey I. Webb:
Anytime learning and classification for online applications. AMT 2006: 7-12 - [c44]Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting:
To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles. ECML 2006: 533-544 - [c43]Fei Zheng, Geoffrey I. Webb:
Efficient lazy elimination for averaged one-dependence estimators. ICML 2006: 1113-1120 - [c42]Geoffrey I. Webb:
Discovering significant rules. KDD 2006: 434-443 - [p3]Geoffrey I. Webb, Damien Brain:
Generality Is Predictive of Prediction Accuracy. Selected Papers from AusDM 2006: 1-13 - [p2]Shiying Huang, Geoffrey I. Webb:
Efficiently Identifying Exploratory Rules' Significance. Selected Papers from AusDM 2006: 64-77 - [e2]Qiang Yang, Geoffrey I. Webb:
PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings. Lecture Notes in Computer Science 4099, Springer 2006, ISBN 3-540-36667-9 [contents] - 2005
- [j19]Geoffrey I. Webb, Songmao Zhang:
K-Optimal Rule Discovery. Data Min. Knowl. Discov. 10(1): 39-79 (2005) - [j18]Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang:
Not So Naive Bayes: Aggregating One-Dependence Estimators. Mach. Learn. 58(1): 5-24 (2005) - [j17]Geoffrey I. Webb, Kai Ming Ting:
On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. Mach. Learn. 58(1): 25-32 (2005) - [c41]Geoffrey I. Webb:
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining. Australian Conference on Artificial Intelligence 2005: 1-2 - [c40]Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb:
Ensemble Selection for SuperParent-One-Dependence Estimators. Australian Conference on Artificial Intelligence 2005: 102-112 - [c39]Shiying Huang, Geoffrey I. Webb:
Pruning Derivative Partial Rules During Impact Rule Discovery. PAKDD 2005: 71-80 - [c38]Shiying Huang, Geoffrey I. Webb:
Discarding Insignificant Rules during Impact Rule Discovery in Large, Dense Databases. SDM 2005: 541-545 - [p1]Ying Yang, Geoffrey I. Webb, Xindong Wu:
Discretization Methods. The Data Mining and Knowledge Discovery Handbook 2005: 113-130 - 2004
- [j16]Honghua Dai, Geoffrey I. Webb:
Guest Editors' Introduction. Int. J. Softw. Eng. Knowl. Eng. 14(4): 365-368 (2004) - [j15]Geoffrey I. Webb, Zijian Zheng:
Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques. IEEE Trans. Knowl. Data Eng. 16(8): 980-991 (2004) - [c37]Dhananjay R. Thiruvady, Geoffrey I. Webb:
Mining Negative Rules Using GRD. PAKDD 2004: 161-165 - [c36]Zhihai Wang, Geoffrey I. Webb, Fei Zheng:
Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory. PAKDD 2004: 319-328 - [e1]Geoffrey I. Webb, Xinghuo Yu:
AI 2004: Advances in Artificial Intelligence, 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004, Proceedings. Lecture Notes in Computer Science 3339, Springer 2004, ISBN 3-540-24059-4 [contents] - 2003
- [j14]Chengqi Zhang, Shichao Zhang, Geoffrey I. Webb:
Identifying Approximate Itemsets of Interest in Large Databases. Appl. Intell. 18(1): 91-104 (2003) - [c35]Ying Yang, Geoffrey I. Webb:
On Why Discretization Works for Naive-Bayes Classifiers. Australian Conference on Artificial Intelligence 2003: 440-452 - [c34]Zhihai Wang, Geoffrey I. Webb, Fei Zheng:
Adjusting Dependence Relations for Semi-Lazy TAN Classifiers. Australian Conference on Artificial Intelligence 2003: 453-465 - [c33]Shane M. Butler, Geoffrey I. Webb, Rob A. Lewis:
A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images. Australian Conference on Artificial Intelligence 2003: 677-685 - [c32]Geoffrey I. Webb, Shane M. Butler, Douglas A. Newlands:
On detecting differences between groups. KDD 2003: 256-265 - [c31]Hongbo Shi, Zhihai Wang, Geoffrey I. Webb, Houkuan Huang:
A New Restricted Bayesian Network Classifier. PAKDD 2003: 265-270 - [c30]Ying Yang, Geoffrey I. Webb:
Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. PAKDD 2003: 501-512 - 2002
- [c29]Yakov Frayman, Bernard F. Rolfe, Geoffrey I. Webb:
Solving Regression Problems Using Competitive Ensemble Models. Australian Joint Conference on Artificial Intelligence 2002: 511-522 - [c28]Zhihai Wang, Geoffrey I. Webb:
A Heuristic Lazy Bayesian Rule Algorithm. AusDM 2002: 57-64 - [c27]Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang:
Averaged One-Dependence Estimators: Preliminary Results. AusDM 2002: 65-74 - [c26]Zhihai Wang, Geoffrey I. Webb:
Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. ICDM 2002: 490-497 - [c25]James E. Pearce, Geoffrey I. Webb, Robin N. Shaw, Brian J. Garner:
Experimentation and Self Learning in Continuous Database Marketing. ICDM 2002: 775-778 - [c24]Ying Yang, Geoffrey I. Webb:
Non-Disjoint Discretization for Naive-Bayes Classifiers. ICML 2002: 666-673 - [c23]Damien Brain, Geoffrey I. Webb:
The Need for Low Bias Algorithms in Classification Learning from Large Data Sets. PKDD 2002: 62-73 - 2001
- [j13]Geoffrey I. Webb, Michael J. Pazzani, Daniel Billsus:
Machine Learning for User Modeling. User Model. User Adapt. Interact. 11(1-2): 19-29 (2001) - [c22]Geoffrey I. Webb:
Candidate Elimination Criteria for Lazy Bayesian Rules. Australian Joint Conference on Artificial Intelligence 2001: 545-556 - [c21]Songmao Zhang, Geoffrey I. Webb:
Further Pruning for Efficient Association Rule Discovery. Australian Joint Conference on Artificial Intelligence 2001: 605-618 - [c20]Ying Yang, Geoffrey I. Webb:
Proportional k-Interval Discretization for Naive-Bayes Classifiers. ECML 2001: 564-575 - [c19]Geoffrey I. Webb:
Discovering associations with numeric variables. KDD 2001: 383-388 - 2000
- [j12]Geoffrey I. Webb:
MultiBoosting: A Technique for Combining Boosting and Wagging. Mach. Learn. 40(2): 159-196 (2000) - [j11]Zijian Zheng, Geoffrey I. Webb:
Lazy Learning of Bayesian Rules. Mach. Learn. 41(1): 53-84 (2000) - [c18]Geoffrey I. Webb:
Efficient search for association rules. KDD 2000: 99-107
1990 – 1999
- 1999
- [j10]Geoffrey I. Webb, Jason Wells, Zijian Zheng:
An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition. Mach. Learn. 35(1): 5-23 (1999) - [c17]Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting:
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. ICML 1999: 493-502 - [c16]Geoffrey I. Webb:
Decision Tree Grafting From the All Tests But One Partition. IJCAI 1999: 702-707 - [c15]Zijian Zheng, Geoffrey I. Webb:
Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. PAKDD 1999: 123-132 - [c14]Douglas A. Newlands, Geoffrey I. Webb:
Convex Hulls in Concept Induction. PAKDD 1999: 306-316 - 1998
- [j9]Geoffrey I. Webb:
Preface to UMUAI Special Issue on Machine Learning for User Modeling. User Model. User Adapt. Interact. 8(1-2): 1-3 (1998) - [j8]Bark Cheung Chiu, Geoffrey I. Webb:
Using Decision Trees for Agent Modeling: Improving Prediction Performance. User Model. User Adapt. Interact. 8(1-2): 131-152 (1998) - [c13]Geoffrey I. Webb:
The Problem of Missing Values in Decision Tree Grafting. Australian Joint Conference on Artificial Intelligence 1998: 273-283 - [c12]Geoffrey I. Webb, Michael J. Pazzani:
Adjusted Probability Naive Bayesian Induction. Australian Joint Conference on Artificial Intelligence 1998: 285-295 - [c11]Zijian Zheng, Geoffrey I. Webb:
Stochastic Attribute Selection Committees. Australian Joint Conference on Artificial Intelligence 1998: 321-332 - [c10]Murlikrishna Viswanathan, Geoffrey I. Webb:
Classification Learning Using All Rules. ECML 1998: 149-159 - [c9]Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting:
Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning. ICTAI 1998: 216-223 - [c8]Geoffrey I. Webb, Mark Kuzmycz:
Evaluation of Data Aging: A Technique for Discounting Old Data During Student Modeling. Intelligent Tutoring Systems 1998: 384-393 - 1997
- [c7]Bark Cheung Chiu, Geoffrey I. Webb, Zijian Zheng:
Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions. Australian Joint Conference on Artificial Intelligence 1997: 349-358 - [c6]Geoffrey I. Webb:
Decision Tree Grafting. IJCAI (2) 1997: 846-851 - 1996
- [j7]Geoffrey I. Webb:
Further Experimental Evidence against the Utility of Occam's Razor. J. Artif. Intell. Res. 4: 397-417 (1996) - [j6]Geoffrey I. Webb:
Integrating machine learning with knowledge acquisition through direct interaction with domain experts. Knowl. Based Syst. 9(4): 253-266 (1996) - [c5]Geoffrey I. Webb:
Cost-Sensitive Specialization. PRICAI 1996: 23-34 - [i2]Geoffrey I. Webb:
Further Experimental Evidence against the Utility of Occam's Razor. CoRR cs.AI/9605101 (1996) - 1995
- [j5]Geoffrey I. Webb:
OPUS: An Efficient Admissible Algorithm for Unordered Search. J. Artif. Intell. Res. 3: 431-465 (1995) - [j4]Geoffrey I. Webb, Mark Kuzmycz:
Feature Based Modelling: A Methodology for Producing Coherent, Consistent, Dynamically Changing Models of Agents' Competencies. User Model. User Adapt. Interact. 5(2): 117-150 (1995) - [c4]Philip A. Smith, Geoffrey I. Webb:
Transparency Debugging with Explanations for Novice Programmers. AADEBUG 1995: 105-118 - [c3]Douglas A. Newlands, Geoffrey I. Webb:
Polygonal Inductive Generalisation System. IEA/AIE 1995: 587-592 - [i1]Geoffrey I. Webb:
OPUS: An Efficient Admissible Algorithm for Unordered Search. CoRR abs/cs/9512101 (1995) - 1992
- [j3]Geoffrey I. Webb, John W. M. Agar:
Inducing diagnostic rules for glomerular disease with the DLG machine learning algorithm. Artif. Intell. Medicine 4(6): 419-430 (1992) - [c2]Mark Kuzmycz, Geoffrey I. Webb:
Evaluation of Feature Based Modelling in Subtraction. Intelligent Tutoring Systems 1992: 269-276 - 1990
- [j2]Louis Sanzogn, Francis Suraweera, Geoffrey I. Webb:
Improving the efficiency of rule-based expert systems by rule activation. J. Exp. Theor. Artif. Intell. 2(4): 369-380 (1990)
1980 – 1989
- 1988
- [j1]Geoffrey I. Webb:
A Knowledge-Based Approach to Computer-Aided Learning. Int. J. Man Mach. Stud. 29(3): 257-285 (1988) - [c1]Geoffrey I. Webb:
Techniques for Efficient Empirical Induction. Australian Joint Conference on Artificial Intelligence 1988: 225-239
Coauthor Index
[j108] [j99] [c89] [d183] [d182] [i40] [j91] [j89] [c86] [d181] [d180] [d179] [d178] [d177] [d176] [d175] [d174] [d173] [d172] [d171] [d170] [i38] [i34] [d169] [d168] [d167] [d166] [d165] [d164] [d163] [d162] [d161] [d160] [d159] [d158] [d157] [d156] [d155] [d154] [d153] [d152] [d151] [d150] [d149] [d148] [d147] [d146] [d145] [d144] [d143] [d142] [d141] [d140] [d139] [d138] [d137] [d136] [d135] [d134] [d133] [d132] [d131] [d130] [d129] [d128] [d127] [d126] [d125] [d124] [d123] [d122] [d121] [d120] [d119] [d118] [d117] [d116] [d115] [d114] [d113] [d112] [d111] [d110] [d109] [d108] [d107] [d106] [d105] [d104] [d103] [d102] [d101] [d100] [d99] [d98] [d97] [d96] [d95] [d94] [d93] [d92] [d91] [d90] [d89] [d88] [d87] [d86] [d85] [d84] [d83] [d82] [d81] [d80] [d79] [d78] [d77] [d76] [d75] [d74] [d73] [d72] [d71] [d70] [d69] [d68] [d67] [d66] [d65] [d64] [d63] [d62] [d61] [d60] [d59] [d58] [d57] [d56] [d55] [d54] [d53] [d52] [d51] [d50] [d49] [d48] [d47] [d46] [d45] [d44] [d43] [d42] [d41] [d40] [d39] [d38] [d37] [d36] [d35] [d34] [d33] [d32] [d31] [d30] [d29] [d28] [d27] [d26] [d25] [d24] [d23] [d22] [d21] [d20] [d19] [d18] [d17] [d16] [d15] [d14] [d13] [d12] [d11] [d10] [d9] [d8] [d7] [d6] [d5] [d4] [d3] [d2] [d1] [i30] [i29] [i27] [i22]
[j108] [d183] [d182] [i40] [j89] [c86] [d181] [d180] [d179] [d178] [d177] [d176] [d175] [d174] [d173] [d172] [d171] [d170] [i34] [d169] [d168] [d167] [d166] [d165] [d164] [d163] [d162] [d161] [d160] [d159] [d158] [d157] [d156] [d155] [d154] [d153] [d152] [d151] [d150] [d149] [d148] [d147] [d146] [d145] [d144] [d143] [d142] [d141] [d140] [d139] [d138] [d137] [d136] [d135] [d134] [d133] [d132] [d131] [d130] [d129] [d128] [d127] [d126] [d125] [d124] [d123] [d122] [d121] [d120] [d119] [d118] [d117] [d116] [d115] [d114] [d113] [d112] [d111] [d110] [d109] [d108] [d107] [d106] [d105] [d104] [d103] [d102] [d101] [d100] [d99] [d98] [d97] [d96] [d95] [d94] [d93] [d92] [d91] [d90] [d89] [d88] [d87] [d86] [d85] [d84] [d83] [d82] [d81] [d80] [d79] [d78] [d77] [d76] [d75] [d74] [d73] [d72] [d71] [d70] [d69] [d68] [d67] [d66] [d65] [d64] [d63] [d62] [d61] [d60] [d59] [d58] [d57] [d56] [d55] [d54] [d53] [d52] [d51] [d50] [d49] [d48] [d47] [d46] [d45] [d44] [d43] [d42] [d41] [d40] [d39] [d38] [d37] [d36] [d35] [d34] [d33] [d32] [d31] [d30] [d29] [d28] [d27] [d26] [i27] [i22]
[d183] [d182] [c86] [d181] [d180] [d179] [d178] [d177] [d176] [d175] [d174] [d173] [d172] [d171] [d170] [i34] [d78] [d77] [d76] [d75] [d74] [d73] [d72] [d71] [d70] [d69] [d68] [d67] [d66] [d65] [d64] [d63] [d62] [d61] [d60] [d59] [d58] [d57] [d56] [d55] [d54] [d53] [d52] [d51] [d50] [d49] [d48] [d47] [d46] [d45] [d44] [d43] [d42] [d41] [d40] [d39] [d38] [d37] [d36] [d35] [d34] [d33] [d32] [d28] [d27] [d26]
[d183] [d182] [c86] [d181] [d180] [d179] [d178] [d177] [d176] [d175] [d174] [d173] [d172] [d171] [d170] [i34] [d78] [d77] [d76] [d75] [d74] [d73] [d72] [d71] [d70] [d69] [d68] [d67] [d66] [d65] [d64] [d63] [d62] [d61] [d60] [d59] [d58] [d57] [d56] [d55] [d54] [d53] [d52] [d51] [d50] [d49] [d48] [d47] [d46] [d45] [d44] [d43] [d42] [d41] [d40] [d39] [d38] [d37] [d36] [d35] [d34] [d33] [d32] [d31] [d30] [d29] [d28] [d27] [d26] [i27]
[j110] [j109] [c94] [c93] [i47] [j91] [j88] [i36] [i35] [i32] [j81] [j80] [j79] [j78] [c84] [c83] [d25] [d24] [d23] [d22] [d21] [d20] [d19] [d18] [d17] [d16] [d15] [d14] [d13] [d12] [d11] [d10] [d9] [d8] [d7] [d6] [d5] [d4] [d3] [d2] [d1] [i31] [i30] [i29] [i24] [j64] [j61] [c81] [c80] [c79] [c78] [i20] [i19] [i18] [i17] [j56] [j54] [c75] [c74] [i16] [i12] [i11] [i10] [j49] [c73] [c72] [i8] [i7] [j46] [j45] [j43] [j42] [c69] [c68] [c67] [c66] [i5] [i4] [i3] [c65] [c64] [c58] [e8] [c57]
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