Geoffrey I. Webb

发表

Geoffrey I. Webb, Douglas A. Newlands, D. Newlands, 1999, PAKDD.

Survey of distance measures for quantifying concept drift and shift in numeric data

Geoffrey I. Webb, Igor Goldenberg, Igor Goldenberg, 2018, Knowledge and Information Systems.

Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm

Geoffrey I. Webb, Germain Forestier, Ann E. Nicholson, 2015, Knowledge and Information Systems.

GlycoMinestruct: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features

Geoffrey I. Webb, Jiangning Song, Yang Zhang, 2016, Scientific Reports.

Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees

Geoffrey I. Webb, Zijian Zheng, Zijian Zheng, 1999, PAKDD.

Averaged One-Dependence Estimators

Geoffrey I. Webb, Fei Zheng, Fei Zheng, 2010, Encyclopedia of Machine Learning.

A Knowledge-Based Approach to Computer-Aided Learning

Geoffrey I. Webb, 1988, Int. J. Man Mach. Stud..

Time series extrinsic regression

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2020, Data mining and knowledge discovery.

Model Evaluation

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning and Data Mining.

Association discovery

Geoffrey I. Webb, 2010, UP '10.

Monash University, UEA, UCR Time Series Extrinsic Regression Archive

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2020 .

To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators

Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting, 2007, IEEE Transactions on Knowledge and Data Engineering.

Stochastic Attribute Selection Committees

Geoffrey I. Webb, Zijian Zheng, Zijian Zheng, 1998, Australian Joint Conference on Artificial Intelligence.

Finding the Real Patterns

Geoffrey I. Webb, 2007, PAKDD.

Scalable Learning of Graphical Models

Geoffrey I. Webb, François Petitjean, 2016, KDD.

Bioinformatic Approaches for Predicting substrates of Proteases

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2011, J. Bioinform. Comput. Biol..

A comparative study of Semi-naive Bayes methods in classification learning

Geoffrey I. Webb, Fei Zheng, 2005 .

Pruning Derivative Partial Rules During Impact Rule Discovery

Geoffrey I. Webb, Shiying Huang, 2005, PAKDD.

An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition

Geoffrey I. Webb, Jason Wells, Zijian Zheng, 1999, Machine Learning.

FaSS: Ensembles for Stable Learners

Geoffrey I. Webb, Kai Ming Ting, Swee Chuan Tan, 2009, MCS.

Comparison of lazy Bayesian rule, and tree-augmented Bayesian learning

Geoffrey I. Webb, Zhihai Wang, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Semi-naive Bayesian Learning

Geoffrey I. Webb, Fei Zheng, Fei Zheng, 2010, Encyclopedia of Machine Learning and Data Mining.

Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning

Geoffrey I. Webb, Kai Ming Ting, Zijian Zheng, 1998, Proceedings Tenth IEEE International Conference on Tools with Artificial Intelligence (Cat. No.98CH36294).

Proportional k-Interval Discretization for Naive-Bayes Classifiers

Geoffrey I. Webb, Ying Yang, Ying Yang, 2001, ECML.

Discretization for Data Mining

Geoffrey I. Webb, Ying Yang, 2005 .

Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining pdf

Geoffrey I. Webb, Wilhelmiina Hämäläinen, W. Hämäläinen, 2017, SDM.

Sample-Based Attribute Selective A$n$ DE for Large Data

Geoffrey I. Webb, Limin Wang, Ana M. Martínez, 2017, IEEE Transactions on Knowledge and Data Engineering.

Scaling Log-Linear Analysis to High-Dimensional Data

Geoffrey I. Webb, Ann E. Nicholson, François Petitjean, 2013, 2013 IEEE 13th International Conference on Data Mining.

Time Series Classification at Scale

Geoffrey I. Webb, 2020, LWDA.

A New Restricted Bayesian Network Classifier

Geoffrey I. Webb, Zhihai Wang, Houkuan Huang, 2003, PAKDD.

Extremely Fast Decision Tree

Geoffrey I. Webb, Mahsa Salehi, Chaitanya Manapragada, 2018, KDD.

K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining

Geoffrey I. Webb, 2005, Australian Conference on Artificial Intelligence.

Averaged One-Dependence Estimators: Preliminary Results

Geoffrey I. Webb, Zhihai Wang, Janice R. Boughton, 2002, AusDM.

Proportional k-Interval Discretization for Naive-Bayes Classifiers

Geoffrey I. Webb, Ying Yang, Ying Yang, 2001, ECML.

Dynamic Dimensionality Selection for Bayesian Classifier Ensembles

Geoffrey I. Webb, Mark James Carman, 2015 .

Statistically sound pattern discovery

Geoffrey I. Webb, Wilhelmiina Hämäläinen, 2014, KDD.

Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification

Geoffrey I. Webb, Germain Forestier, Ann E. Nicholson, 2014, 2014 IEEE International Conference on Data Mining.

An attribute-value machine learning approach to student modelling

Geoffrey I. Webb, 1991 .

Classifying under computational resource constraints: anytime classification using probabilistic estimators

Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting, 2007, Machine Learning.

Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning

Geoffrey I. Webb, Fei Zheng, Pramuditha Suraweera, 2012, Machine Learning.

Monash University, UEA, UCR Time Series Regression Archive pdf

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2020, ArXiv.

K-Optimal Rule Discovery

Geoffrey I. Webb, Songmao Zhang, Songmao Zhang, 2005, Data Mining and Knowledge Discovery.

Recent progress in machine-expert collaboration for knowledge acquisition

Geoffrey I. Webb, Jason Wells, 1995 .

Predicting the rolling force in hot steel rolling mill using an ensemble model

Geoffrey I. Webb, Yakov Frayman, Bernard Rolfe, 2002 .

A tutorial on statistically sound pattern discovery

Geoffrey I. Webb, Wilhelmiina Hämäläinen, W. Hämäläinen, 2017, Data Mining and Knowledge Discovery.

On the effect of data set size on bias and variance in classification learning

Geoffrey I. Webb, Damien Brain, Damien Brain, 1999 .

Decision Tree Grafting From the All Tests But One Partition

Geoffrey I. Webb, 1999, IJCAI.

Time Series Regression pdf

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2020, ArXiv.

Instance-Dependent PU Learning by Bayesian Optimal Relabeling pdf

Geoffrey I. Webb, Dacheng Tao, Tongliang Liu, 2018, ArXiv.

Polygonal inductive generalisation system

Geoffrey I. Webb, Douglas A. Newlands, 1995, IEA/AIE '95.

Encyclopedia of Machine Learning

Geoffrey I. Webb, Claude Sammut, C. Sammut, 2011, Encyclopedia of Machine Learning.

Lazy Learning

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

Feature-subspace aggregating: ensembles for stable and unstable learners

Geoffrey I. Webb, Kai Ming Ting, Swee Chuan Tan, 2011, Machine Learning.

PCA-based drift and shift quantification framework for multidimensional data

Geoffrey I. Webb, Igor Goldenberg, 2020, Knowledge and Information Systems.

Anytime classification for a pool of instances

Geoffrey I. Webb, Ying Yang, Bei Hui, 2009, Machine Learning.

Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators

Geoffrey I. Webb, Fei Zheng, Fei Zheng, 2007, ECML.

Adjusted Probability Naive Bayesian Induction

Geoffrey I. Webb, Michael J. Pazzani, M. Pazzani, 1998, Australian Joint Conference on Artificial Intelligence.

Classification Learning Using All Rules

Geoffrey I. Webb, Murlikrishna Viswanathan, M. Viswanathan, 1998, ECML.

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes

Geoffrey I. Webb, Wray L. Buntine, François Petitjean, 2017, Machine Learning.

AI 2004: Advances in Artificial Intelligence, 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004, Proceedings

Xinghuo Yu, Geoffrey I. Webb, 2004, Australian Conference on Artificial Intelligence.

General chairs’ preface

Geoffrey I. Webb, Tu Bao Ho, T. Ho, 2018 .

MAN-MACHINE COLLABORATION FOR KNOWLEDGE ACQUISITION

Geoffrey I. Webb, 1992 .

Identifying Approximate Itemsets of Interest in Large Databases

Geoffrey I. Webb, Chengqi Zhang, Shichao Zhang, 2004, Applied Intelligence.

Naïve Bayes

Geoffrey I. Webb, 2020, Encyclopedia of Machine Learning.

Multistrategy ensemble learning: reducing error by combining ensemble learning techniques

Geoffrey I. Webb, Zijian Zheng, Zijian Zheng, 2004, IEEE Transactions on Knowledge and Data Engineering.

Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity

Huilin Wang, Liubin Feng, Geoffrey I. Webb, 2017, Briefings Bioinform..

Filtered‐top‐k association discovery

Geoffrey I. Webb, 2011, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

Supervised Descriptive Rule Induction

Geoffrey I. Webb, Nada Lavrac, Petra Kralj Novak, 2010, Encyclopedia of Machine Learning.

A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests

Geoffrey I. Webb, François Petitjean, F. Petitjean, 2016, KDD.

PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings

Geoffrey I. Webb, Qiang Yang, Qiang Yang, 2006, PRICAI.

Prior Probability

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning and Data Mining.

The Need for Low Bias Algorithms in Classification Learning from Large Data Sets

Geoffrey I. Webb, Damien Brain, Damien Brain, 2002, PKDD.

Introduction: special issue of selected papers of ACML 2013

Geoffrey I. Webb, Masashi Sugiyama, Cheng Soon Ong, 2015, Machine Learning.

Discretization Methods

Xindong Wu, Geoffrey I. Webb, Ying Yang, 2010, Data Mining and Knowledge Discovery Handbook.

Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning pdf

Geoffrey I. Webb, Yuan Jin, Francois Petitjean, 2020, ArXiv.

Positive-unlabelled learning of glycosylation sites in the human proteome

Geoffrey I. Webb, Jiangning Song, Chen Li, 2019, BMC Bioinformatics.

InceptionTime: Finding AlexNet for Time Series Classification pdf

Geoffrey I. Webb, Germain Forestier, Daniel F. Schmidt, 2020, Data Min. Knowl. Discov..

Experimentation and self learning in continuous database marketing

Geoffrey I. Webb, Robin N. Shaw, Brian Garner, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Candidate Elimination Criteria for Lazy Bayesian Rules

Geoffrey I. Webb, 2001, Australian Joint Conference on Artificial Intelligence.

PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy

Gholamreza Haffari, Geoffrey I. Webb, Jiangning Song, 2018, Bioinform..

Techniques for integrating machine learning with knowledge acquisition

Geoffrey I. Webb, 2002 .

SimUSF: an efficient and effective similarity measure that is invariant to violations of the interval scale assumption

Geoffrey I. Webb, Thilak L. Fernando, Thilak L. Fernando, 2016, Data Mining and Knowledge Discovery.

Feature Based Modelling: A methodology for producing coherent, consistent, dynamically changing models of agents' competencies

Geoffrey I. Webb, Mark Kuzmycz, Mark Kuzmycz, 2005, User Modeling and User-Adapted Interaction.

A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification

Geoffrey I. Webb, Bin Liu, Ying Yang, 2009, PAKDD.

Further Pruning for Efficient Association Rule Discovery

Geoffrey I. Webb, Songmao Zhang, 2001, Australian Joint Conference on Artificial Intelligence.

Generative and Discriminative Learning

Geoffrey I. Webb, Bin Liu, Bin Liu, 2010, Encyclopedia of Machine Learning.

Cost-Sensitive Specialization

Geoffrey I. Webb, 1996, PRICAI.

Empirical function attribute construction in classification learning

Geoffrey I. Webb, Simon P. Yip, 1994 .

Alleviating naive Bayes attribute independence assumption by attribute weighting

Geoffrey I. Webb, Mark James Carman, Jesús Cerquides, 2013, J. Mach. Learn. Res..

Lazy Learning of Bayesian Rules

Geoffrey I. Webb, Zijian Zheng, Zijian Zheng, 2000, Machine Learning.

A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images

Geoffrey I. Webb, Shane M. Butler, Rob A. Lewis, 2003, Australian Conference on Artificial Intelligence.

Mining significant crisp-fuzzy spatial association rules

Geoffrey I. Webb, Wenzhong Shi, An-Shu Zhang, 2018, Int. J. Geogr. Inf. Sci..

OPUS: An Efficient Admissible Algorithm for Unordered Search

Geoffrey I. Webb, 1995, J. Artif. Intell. Res..

Advances in Knowledge Discovery and Data Mining

Geoffrey I. Webb, Vincent S. Tseng, Dinh Q. Phung, 2018, Lecture Notes in Computer Science.

Semi-Naive Bayesian Learning

Geoffrey I. Webb, Fei Zheng, 2010, Encyclopedia of Machine Learning.

Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI

Geoffrey I. Webb, Jiangning Song, Jiawei Wang, 2016, Briefings Bioinform..

Proceedings of the 10th IEEE International Conference on Data Mining (ICDM)

Xindong Wu, Geoffrey I. Webb, Chengqi Zhang, 2010 .

Algorithm Evaluation

Geoffrey I. Webb, Geoffrey I. Webb, 2020, Encyclopedia of Social Network Analysis and Mining.

Posterior Probability

Geoffrey I. Webb, 2017, Encyclopedia of Machine Learning and Data Mining.

TS-CHIEF: a scalable and accurate forest algorithm for time series classification

Geoffrey I. Webb, Ahmed Shifaz, Francois Petitjean, 2019, Data Mining and Knowledge Discovery.

On Why Discretization Works for Naive-Bayes Classifiers

Geoffrey I. Webb, Ying Yang, Ying Yang, 2003, Australian Conference on Artificial Intelligence.

Evaluation of Feature Based Modelling in Subtraction

Geoffrey I. Webb, Mark Kuzmycz, Mark Kuzmycz, 1992, Intelligent Tutoring Systems.

Algorithm Evaluation

Geoffrey I. Webb, Geoffrey I. Webb, 2020, Encyclopedia of Social Network Analysis and Mining.

Efficient Discovery of the Most Interesting Associations

Geoffrey I. Webb, Jilles Vreeken, Jilles Vreeken, 2013, ACM Trans. Knowl. Discov. Data.

POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles

Geoffrey I. Webb, Jiangning Song, Jiawei Wang, 2017, Bioinform..

Occam's Razor

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

Elastic bands across the path: A new framework and methods to lower bound DTW pdf

Geoffrey I. Webb, François Petitjean, Chang Wei Tan, 2018, SDM.

Data Preparation

Geoffrey I. Webb, Lan Du, Zahraa Said Abdallah, 2010, Encyclopedia of Machine Learning.

MetalExplorer, a Bioinformatics Tool for the Improved Prediction of Eight Types of Metal-Binding Sites Using a Random Forest Algorithm with Two- Step Feature Selection

Geoffrey I. Webb, Jiangning Song, Chen Li, 2017 .

Learning Decision Lists by Prepending Inferred Rules

Geoffrey I. Webb, 2005 .

Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory

Geoffrey I. Webb, Zhihai Wang, Fei Zheng, 2004, PAKDD.

A Statistically Efficient and Scalable Method for Log-Linear Analysis of High-Dimensional Data

Geoffrey I. Webb, Lloyd Allison, François Petitjean, 2014, 2014 IEEE International Conference on Data Mining.

COGNITIVE DIAGNOSIS USING STUDENT ATTRIBUTIONS

Geoffrey I. Webb, 1988 .

iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences

Geoffrey I. Webb, Jiangning Song, Zhen Chen, 2018, Bioinform..

Anytime learning and classification for online applications

Geoffrey I. Webb, 2006, AMT.

Early Abandoning PrunedDTW and its application to similarity search pdf

Geoffrey I. Webb, Matthieu Herrmann, Matthieu Herrmann, 2020, ArXiv.

Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification

Geoffrey I. Webb, Kai Ming Ting, Fei Zheng, 2011, Machine Learning.

Occam's Razor

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

Learning crew scheduling constraints from historical schedules

Geoffrey I. Webb, Mark Wallace, Pramuditha Suraweera, 2013 .

On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error pdf

Geoffrey I. Webb, Germain Forestier, François Petitjean, 2018, ArXiv.

Using Decision Trees for Agent Modeling: Improving Prediction Performance

Geoffrey I. Webb, Bark Cheung Chiu, B. Chiu, 2004, User Modeling and User-Adapted Interaction.

Guest Editors' Introduction

Geoffrey I. Webb, Honghua Dai, H. Dai, 2004, Int. J. Softw. Eng. Knowl. Eng..

Occam's Razor

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

Fast and Effective Single Pass Bayesian Learning

Geoffrey I. Webb, Nayyar A. Zaidi, Nayyar Zaidi, 2013, PAKDD.

Knowledge-Based Flow of Control in Computer-Aided Learning

Geoffrey I. Webb, 1986 .

On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers

Geoffrey I. Webb, Yang Du, Nayyar A. Zaidi, 2017, IEEE Access.

Improving an inverse model of sheet metal forming by neural network based regression

Geoffrey I. Webb, Yakov Frayman, Bernard Rolfe, 2002 .

Non-Disjoint Discretization for Naive-Bayes Classifiers

Geoffrey I. Webb, Ying Yang, Ying Yang, 2002, ICML.

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series pdf

Geoffrey I. Webb, François Petitjean, Charlotte Pelletier, 2018, Remote. Sens..

Evaluation of Learning Algorithms

Geoffrey I. Webb, 2017, Encyclopedia of Machine Learning and Data Mining.

EGM: encapsulated gene-by-gene matching to identify gene orthologs and homologous segments in genomes

Geoffrey I. Webb, Jiangning Song, Arun Siddharth Konagurthu, 2010, Bioinform..

Generality Is Predictive of Prediction Accuracy

Geoffrey I. Webb, Damien Brain, Damien Brain, 2006, Selected Papers from AusDM.

A Comparison of First-Order and Zeroth-Order Induction for Input-Output Agent Modelling

Geoffrey I. Webb, Mark Kuzmycz, Bark Cheung Chiu, 1997 .

Using Sentinel-2 Image Time Series to map the State of Victoria, Australia

Geoffrey I. Webb, François Petitjean, Elizabeth Morse-McNabb, 2019, 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

Advances in Knowledge Discovery and Data Mining

Geoffrey I. Webb, Vincent S. Tseng, Lida Rashidi, 2018, Lecture Notes in Computer Science.

A novel selective naïve Bayes algorithm

Geoffrey I. Webb, Xin Ma, Shenglei Chen, 2020, Knowl. Based Syst..

Model Evaluation

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning and Data Mining.

Naïve Bayes

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

Scalable Learning of Bayesian Network Classifiers

Geoffrey I. Webb, Ana M. Martínez, Shenglei Chen, 2016, J. Mach. Learn. Res..

ECCLES: AN 'EXPERT SYSTEM' FOR C.A.L.

Geoffrey I. Webb, Thomas J. Richards, 1985 .

Discretization for naive-Bayes learning: managing discretization bias and variance

Geoffrey I. Webb, Ying Yang, Ying Yang, 2008, Machine Learning.

Domain and tutoring knowledge in computer-aided learning

Geoffrey I. Webb, 1987 .

Estimating bias and variance from data

Geoffrey I. Webb, Geoffrey Webb, Paul Conilione, 2003 .

Techniques for Efficient Empirical Induction

Geoffrey I. Webb, 1988, Australian Joint Conference on Artificial Intelligence.

Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities

Geoffrey I. Webb, François Petitjean, Nayyar A. Zaidi, 2018, SDM.

Discovering associations with numeric variables

Geoffrey I. Webb, 2001, KDD '01.

Ensembles of Localised Models for Time Series Forecasting pdf

Geoffrey I. Webb, Christoph Bergmeir, Slawek Smyl, 2020, ArXiv.

Tamping Effectiveness Prediction Using Supervised Machine Learning Techniques

Geoffrey I. Webb, François Petitjean, Chang Wei Tan, 2018 .

Deep Broad Learning - Big Models for Big Data pdf

Geoffrey I. Webb, Mark James Carman, François Petitjean, 2015, ArXiv.

Skopus: Mining top-k sequential patterns under leverage

Tao Li, Geoffrey I. Webb, François Petitjean, 2015, Data Mining and Knowledge Discovery.

A systemic approach to the database marketing process

Geoffrey I. Webb, Brian J. Garner, Robin N Shaw, 2002 .

Panel: a data scientist's guide to making money from start-ups

Geoffrey I. Webb, Foster J. Provost, 2013, KDD.

Cascleave: towards more accurate prediction of caspase substrate cleavage sites

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2010, Bioinform..

Posterior Probability

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

ALRn: accelerated higher-order logistic regression

Geoffrey I. Webb, Mark James Carman, Jesús Cerquides, 2016, Mach. Learn..

Generative and Discriminative Learning

Geoffrey I. Webb, Bin Liu, Geoffrey I. Webb, 2017, Encyclopedia of Machine Learning and Data Mining.

Selective AnDE for large data learning: a low-bias memory constrained approach

Geoffrey I. Webb, Limin Wang, Ana M. Martínez, 2017, Knowledge and Information Systems.

An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Nonstationary Data Streams

Witold Pedrycz, Geoffrey I. Webb, Mahardhika Pratama, 2018, IEEE Transactions on Fuzzy Systems.

Techniques for Efficient Learning without Search

Geoffrey I. Webb, Janice R. Boughton, Pramuditha Suraweera, 2012, PAKDD.

Encyclopedia of Machine Learning and Data Mining

Geoffrey I. Webb, Claude Sammut, Geoffrey I. Webb, 2017, Encyclopedia of Machine Learning and Data Mining.

A machine learning approach to student modelling

Geoffrey I. Webb, 1989 .

Indexing and classifying gigabytes of time series under time warping

Geoffrey I. Webb, François Petitjean, Chang Wei Tan, 2017, SDM.

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification pdf

Geoffrey I. Webb, Daniel F. Schmidt, Angus Dempster, 2020, ArXiv.

Preface to UMUAI Special Issue on Machine Learning for User Modeling

Geoffrey I. Webb, 2004, User Modeling and User-Adapted Interaction.

Analyzing concept drift and shift from sample data

Geoffrey I. Webb, Bart Goethals, François Petitjean, 2018, Data Mining and Knowledge Discovery.

Zero-One Loss

Geoffrey I. Webb, Claude Sammut, 2010, Encyclopedia of Machine Learning.

Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions

Geoffrey I. Webb, Zijian Zheng, Bark Cheung Chiu, 1997, Australian Joint Conference on Artificial Intelligence.

Data Preparation

Geoffrey I. Webb, Z. Abdallah, Lan Du, 2010, Encyclopedia of Machine Learning.

FastEE: Fast Ensembles of Elastic Distances for time series classification

Geoffrey I. Webb, Chang Wei Tan, François Petitjean, 2019, Data Mining and Knowledge Discovery.

Multiple Boosting: A Combination of Boosting and Bagging

Geoffrey I. Webb, Zijian Zheng, Zijian Zheng, 1998 .

Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining

Geoffrey I. Webb, Nada Lavrac, Petra Kralj Novak, 2009, J. Mach. Learn. Res..

Mining Negative Rules Using GRD

Geoffrey I. Webb, Dhananjay R. Thiruvady, 2004, PAKDD.

Discovering significant rules

Geoffrey I. Webb, 2006, KDD '06.

Efficient search of the best warping window for Dynamic Time Warping

Geoffrey I. Webb, Germain Forestier, François Petitjean, 2018, SDM.

Discovering Associations in High-Dimensional Data

Geoffrey I. Webb, 2012, ADC.

On detecting differences between groups

Geoffrey I. Webb, Douglas A. Newlands, Shane M. Butler, 2003, KDD '03.

The IEEE International Conference on Data Mining (10th) Held in Sydney, Australia on 14-17 December 2010

Geoffrey I. Webb, Chengqi Zhang, Dimitrios Gunopulos, 2010 .

Layered critical values: a powerful direct-adjustment approach to discovering significant patterns

Geoffrey I. Webb, 2008, Machine Learning.

Further Experimental Evidence against the Utility of Occam's Razor

Geoffrey I. Webb, 1996, J. Artif. Intell. Res..

Tree Augmented Naive Bayes

Geoffrey I. Webb, Fei Zheng, Fei Zheng, 2017, Encyclopedia of Machine Learning and Data Mining.

Magnum Opus version 1

Geoffrey I. Webb, 2001 .

Discovering significant patterns

Geoffrey I. Webb, 2008, Machine Learning.

PROSPECT: A web server for predicting protein histidine phosphorylation sites

Geoffrey I. Webb, Fuyi Li, Halima Bensmail, 2020, J. Bioinform. Comput. Biol..

Supervised Descriptive Rule Induction

Geoffrey I. Webb, Nada Lavrac, Petra Kralj Novak, 2010, Encyclopedia of Machine Learning.

MultiBoosting: A Technique for Combining Boosting and Wagging

Geoffrey I. Webb, Geoffrey I. Webb, 2000, Machine Learning.

Characterizing concept drift

Geoffrey I. Webb, Hong Cao, François Petitjean, 2015, Data Mining and Knowledge Discovery.

Lazy Learning

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

A Heuristic Lazy Bayesian Rule Algorithm

Geoffrey I. Webb, Zhihai Wang, 2002, AusDM.

Learning Lazy Rules to Improve the Performance of Classifiers

Geoffrey I. Webb, Kai Ming Ting, Zijian Zheng, 2000 .

A Strong Baseline for Weekly Time Series Forecasting pdf

Geoffrey I. Webb, Pablo Montero-Manso, Christoph Bergmeir, 2020, ArXiv.

Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers

José A. Gámez, Geoffrey I. Webb, Ana M. Martínez, 2012, HAIS.

Discarding Insignificant Rules during Impact Rule Discovery in Large, Dense Databases

Geoffrey I. Webb, Shiying Huang, 2005, SDM.

Data Mining and Knowledge Discovery: Editorial

Geoffrey I. Webb, 2007 .

Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees

Geoffrey I. Webb, Kai Ming Ting, Zijian Zheng, 1999, ICML.

A Data Scientist's Guide to Start-Ups

Oren Etzioni, Geoffrey I. Webb, Foster J. Provost, 2014, Big Data.

Alternative strategies for decision list construction

Geoffrey I. Webb, Douglas Newlands, 2003 .

Approximate Dynamic Programming

Geoffrey I. Webb, Stephen Grossberg, Mauro Birattari, 2011 .

Not So Naive Bayes: Aggregating One-Dependence Estimators

Geoffrey I. Webb, Zhihai Wang, Janice R. Boughton, 2005, Machine Learning.

Advances in Knowledge Discovery and Data Mining

Geoffrey I. Webb, Vincent S. Tseng, Lida Rashidi, 2018, Lecture Notes in Computer Science.

Comparative evaluation of alternative induction engines for Feature Based Modelling

Geoffrey I. Webb, Mark Kuzmycz, Bark Cheung Chiu, 1997 .

Ensemble Selection for SuperParent-One-Dependence Estimators

Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting, 2005, Australian Conference on Artificial Intelligence.

Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data

Geoffrey I. Webb, Trung Le, Tu Dinh Nguyen, 2018, KDD.

Understanding Concept Drift pdf

Geoffrey I. Webb, Bart Goethals, François Petitjean, 2017, ArXiv.

Does social good justify risking personal privacy?

Geoffrey I. Webb, Raghu Ramakrishnan, 2014, KDD.

DEBUGGING USING PARTIAL MODELS

Geoffrey I. Webb, Philip A. Smith, Philip A. Smith, 1991 .

To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles

Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting, 2006, ECML.

EDUCATIONAL EVALUATION OF FEATURE-BASED MODELLING IN A PROBLEM SOLVING DOMAIN

Geoffrey I. Webb, Geoff Cumming, Thomas J. Richards, 1990 .

A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping pdf

Geoffrey I. Webb, Daniel Schmidt, Benjamin Lucas, 2020, ArXiv.

Inducing diagnostic rules for glomerular disease with the DLG machine learning algorithm

Geoffrey I. Webb, John W. M. Agar, J. Agar, 1992, Artif. Intell. Medicine.

Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression

Geoffrey I. Webb, Mark James Carman, Jesús Cerquides, 2014, 2014 IEEE International Conference on Data Mining.

Mining significant association rules from uncertain data

Geoffrey I. Webb, Wenzhong Shi, An-Shu Zhang, 2015, Data Mining and Knowledge Discovery.

Discovering Significant Patterns

Geoffrey I. Webb, 2007, Machine Learning.

Transparency Debugging with Explanations for Novice Programmers

Geoffrey I. Webb, Philip A. Smith, 1995, AADEBUG.

Improving the efficiency of rule-based expert systems by rule activation

Geoffrey I. Webb, Francis Suraweera, Louis Sanzogn, 1990, J. Exp. Theor. Artif. Intell..

Highly Scalable Attribute Selection for Averaged One-Dependence Estimators

Geoffrey I. Webb, Ana M. Martínez, Shenglei Chen, 2014, PAKDD.

Time series classification for varying length series pdf

Geoffrey I. Webb, Eamonn J. Keogh, Eamonn Keogh, 2019, ArXiv.

KDD'15: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Geoffrey I. Webb, Chengqi Zhang, Longbing Cao, 2015 .

Convex hulls as an hypothesis language bias

Geoffrey I. Webb, Douglas Newlands, D. Newlands, 2003 .

Averaged One-Dependence Estimators

Geoffrey I. Webb, Fei Zheng, 2010, Encyclopedia of Machine Learning.

Geoffrey I. Webb, 2014, 2014 IEEE International Conference on Data Mining.

A Fast Trust-Region Newton Method for Softmax Logistic Regression

Geoffrey I. Webb, Nayyar A. Zaidi, Nayyar Zaidi, 2017, SDM.

Efficient search for association rules

Geoffrey I. Webb, 2000, KDD '00.

Efficient parameter learning of Bayesian network classifiers

Geoffrey I. Webb, Hans De Sterck, Wray L. Buntine, 2016, Machine Learning.

Decision Tree Grafting

Geoffrey I. Webb, 1997, IJCAI.

PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact

Geoffrey I. Webb, Jiangning Song, Jian Li, 2019, bioRxiv.

The Problem of Missing Values in Decision Tree Grafting

Geoffrey I. Webb, 1998, Australian Joint Conference on Artificial Intelligence.

Proximity Forest: an effective and scalable distance-based classifier for time series

Geoffrey I. Webb, Bart Goethals, Ahmed Shifaz, 2018, Data Mining and Knowledge Discovery.

Adaptive online extreme learning machine by regulating forgetting factor by concept drift map

Geoffrey I. Webb, Hualong Yu, Hualong Yu, 2019, Neurocomputing.

Integrating machine learning with knowledge acquisition through direct interaction with domain experts

Geoffrey I. Webb, 1996, Knowl. Based Syst..

Preconditioning an Artificial Neural Network Using Naive Bayes

Geoffrey I. Webb, François Petitjean, Nayyar A. Zaidi, 2016, PAKDD.

Courseware abstraction: reducing development costs while producing qualitative improvements in CAL

Geoffrey I. Webb, 1989 .

SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models

Geoffrey I. Webb, Jiangning Song, Fuyi Li, 2019, BMC Bioinformatics.

Indexing and classifying gigabytes of time series under time warping

Geoffrey I. Webb, Chang Wei Tan, François Petitjean, 2017, SDM 2017.

Evaluation of Data Aging: A Technique for Discounting Old Data During Student Modeling

Geoffrey I. Webb, Mark Kuzmycz, Mark Kuzmycz, 1998, Intelligent Tutoring Systems.

Incremental Discretization for Naïve-Bayes Classifier

Geoffrey I. Webb, Jingli Lu, Ying Yang, 2006, ADMA.

Adjusting Dependence Relations for Semi-Lazy TAN Classifiers

Geoffrey I. Webb, Zhihai Wang, Fei Zheng, 2003, Australian Conference on Artificial Intelligence.

Scaling log-linear analysis to datasets with thousands of variables

Geoffrey I. Webb, François Petitjean, F. Petitjean, 2015, SDM.

GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome

Geoffrey I. Webb, Jiangning Song, James C. Whisstock, 2015, Bioinform..

Efficient lazy elimination for averaged one-dependence estimators

Geoffrey I. Webb, Fei Zheng, Fei Zheng, 2006, ICML.

Self-sufficient itemsets: An approach to screening potentially interesting associations between items

Geoffrey I. Webb, 2010, TKDD.

Bayes' Rule

Geoffrey I. Webb, 2017, Encyclopedia of Machine Learning and Data Mining.

Generative CAL and courseware abstraction

Geoffrey I. Webb, 1987 .

ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010

Xindong Wu, Geoffrey I. Webb, Chengqi Zhang, 2010, ICDM.

# 2001 Kluwer Academic Publishers. Printed in the Netherlands. Machine Learning for User Modeling

Geoffrey I. Webb, Michael J. Pazzani, Daniel Billsus, 1999 .

Preface to the 1st ECML/PKDD workshop on Statistically Sound Data Mining

Geoffrey I. Webb, Wilhelmiina Hämäläinen, François Petitjean, 2014, SSDM@ECML/PKDD.

Exploring Data Quantity Requirements for Domain Adaptation in the Classification of Satellite Image Time Series

Geoffrey I. Webb, Jordi Inglada, Daniel Schmidt, 2019, 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

Multi-Strategy Ensemble Learning, Ensembles of Bayesian Classifiers, and the Problem of False Discoveries

Geoffrey I. Webb, 2008, AusDM.

Prior Probability

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning and Data Mining.

Generative and Discriminative Learning

Geoffrey I. Webb, Bin Liu, Bin Liu, 2010, Encyclopedia of Machine Learning.

The Efficacy of a Low-Level Program Visualization Tool for Teaching Programming Concepts to Novice C Programmers

Geoffrey I. Webb, Philip Smith, Philip A. Smith, 2000, Journal of Educational Computing Research.

Efficiently Identifying Exploratory Rules' Significance

Geoffrey I. Webb, Shiying Huang, 2006, Selected Papers from AusDM.

No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series

Katharina Morik, Geoffrey I. Webb, Nico Piatkowski, 2020, 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA).

Integrating Machine Learning with Knowledge Acquisition

Geoffrey I. Webb, 2002 .

Crysalis: an integrated server for computational analysis and design of protein crystallization

Liubin Feng, Geoffrey I. Webb, Jiangning Song, 2016, Scientific Reports.

Incorporating canonical discriminant attributes in classification learning

Geoffrey I. Webb, Simon P. Yip, S. P. Yip, 1994 .

Improving the prediction of the roll separating force in a hot steel finishing mill

Geoffrey I. Webb, Yakov Frayman, Peter Hodgson, 2003 .

Deep Learning for the Classification of Sentinel-2 Image Time Series

Geoffrey I. Webb, François Petitjean, Charlotte Pelletier, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Solving Regression Problems Using Competitive Ensemble Models

Geoffrey I. Webb, Yakov Frayman, Bernard F. Rolfe, 2002, Australian Joint Conference on Artificial Intelligence.

Bayes Rule

Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

Generating Synthetic Time Series to Augment Sparse Datasets

Geoffrey I. Webb, Germain Forestier, Eamonn J. Keogh, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Proceedings of the 12th IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2012

Geoffrey I. Webb, Bart Goethals, Jeffrey Xu Yu, 2012 .

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

Geoffrey I. Webb, Franccois Petitjean, Angus Dempster, 2019, Data Mining and Knowledge Discovery.

Tree Augmented Naive Bayes

Geoffrey I. Webb, Fei Zheng, Fei Zheng, 2017, Encyclopedia of Machine Learning and Data Mining.

On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions

Geoffrey I. Webb, Kai Ming Ting, K. Ting, 2005, Machine Learning.

Proceedings of the 17th Australian Joint Conference on Artificial Intelligence

Geoffrey I. Webb, Xinghuo Yu, Xinghuo Yu, 2004 .

MultiRocket: multiple pooling operators and transformations for fast and effective time series classification

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2021, Data mining and knowledge discovery.

Tight lower bounds for Dynamic Time Warping

Geoffrey I. Webb, Francois Petitjean, 2021, Pattern Recognit..

Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping

Geoffrey I. Webb, Matthieu Herrmann, Matthieu Herrmann, 2021, ArXiv.

Estimating Divergences in High Dimensions pdf

Geoffrey I. Webb, Nico Piatkowski, Franccois Petitjean, 2021, arXiv.org.

Early abandoning and pruning for elastic distances including dynamic time warping

Geoffrey I. Webb, Matthieu Herrmann, 2021, Data Min. Knowl. Discov..

MultiRocket: Effective summary statistics for convolutional outputs in time series classification pdf

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2021, ArXiv.

Monash Time Series Forecasting Archive pdf

Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso, 2021, NeurIPS Datasets and Benchmarks.

Early Abandoning and Pruning for Elastic Distances pdf

Geoffrey I. Webb, Matthieu Herrmann, 2021, ArXiv.

MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification

Geoffrey I. Webb, Angus Dempster, Daniel F. Schmidt, 2020, KDD.

Ensembles of Localised Models for Time Series Forecasting

Geoffrey I. Webb, Christoph Bergmeir, Slawek Smyl, 2020, Knowl. Based Syst..

Geoffrey I. Webb, Ahmed Shifaz, Francois Petitjean, 2021, ArXiv.

Feature Based Modelling

Geoffrey I. Webb, 1993 .

Smoothing a rugged protein folding landscape by sequence-based redesign

Geoffrey I. Webb, J. Whisstock, J. Irving, 2016, Scientific Reports.

InceptionTime: Finding AlexNet for time series classification pdf

Geoffrey I. Webb, Germain Forestier, Pierre-Alain Muller, 2019, Data Mining and Knowledge Discovery.

A Model of Vaccination for Dengue in the Philippines 2016–2018

Geoffrey I. Webb, Yixiang Wu, P. Magal, 2021, Frontiers in Applied Mathematics and Statistics.

Efficient large-scale protein sequence comparison and gene matching to identify orthologs and co-orthologs

Geoffrey I. Webb, Jiangning Song, James C. Whisstock, 2011, Nucleic acids research.

OP-CBIO190728 1..9

Geoffrey I. Webb, T. Akutsu, A. Leier, 2019 .

PROSPER: An Integrated Feature-Based Tool for Predicting Protease Substrate Cleavage Sites

Geoffrey I. Webb, J. Whisstock, T. Akutsu, 2012, PloS one.

A Bioinformatic Approach to Inter Functional Interactions within Protein Sequences

Geoffrey I. Webb, J. Whisstock, 2009 .

Prodepth: Predict Residue Depth by Support Vector Regression Approach from Protein Sequences Only

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2009, PloS one.

Modelling Elementary Subtraction : Intelligent Warfare Against Bugs

Geoffrey I. Webb, Mark A. P. Kuzmycz, 2005 .

SecretEPDB: a comprehensive web-based resource for secreted effector proteins of the bacterial types III, IV and VI secretion systems

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2017, Scientific Reports.

The Unification Tutor-An Intelligent Educational System in the Classroom

Geoffrey I. Webb, Kwok-Keung Yum, Thomas J. Richards, 1989 .

AI for monitoring the Sustainable Development Goals and supporting and promoting action and policy development

Geoffrey I. Webb, R. Raven, M. Mintrom, 2020, 2020 IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G).

TANGLE: Two-Level Support Vector Regression Approach for Protein Backbone Torsion Angle Prediction from Primary Sequences

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2012, PloS one.

Discovering significant patterns

Geoffrey I. Webb, 2008, Machine Learning.

Partial rules : Another class of derivative and potentially uninteresting rules

Geoffrey I. Webb, G. Webb, Shiying Huang, 2005 .

Recent Progress in Learning Decision Lists by Prepending Inferred Rules

Geoffrey I. Webb, 1994 .

A systematic search algorithm and its application to categorical attribute-value data-driven machine learning

Geoffrey I. Webb, 1993 .

PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2017, Scientific Reports.

Periscope: quantitative prediction of soluble protein expression in the periplasm of Escherichia coli

Geoffrey I. Webb, Jiangning Song, Geoffrey I Webb, 2016, Scientific reports.

Decreasingly naive Bayes: Aggregating n-dependence estimators

Geoffrey I. Webb, Fei Zheng, Janice R. Boughton, 2010 .

Learning for anytime classification

Geoffrey I. Webb, Janice R. Boughton, Ying Yang, 2006 .

Learning probabilistic classifiers under computational resource constraints

Geoffrey I. Webb, Janice R. Boughton, 2005 .

Learning classifiers that perform probabilistic classification under computational resource constraints

Geoffrey I. Webb, Janice R. Boughton, Ying Yang, 2005 .

$$\text {ALR}^n$$ALRn: accelerated higher-order logistic regression

Geoffrey I. Webb, Mark James Carman, François Petitjean, 2016, Machine Learning.

Supported Metal Catalysts: Preparation, Characterization, and Function: I. Preparation and Physical Characterization of Platinum Catalysts

Geoffrey I. Webb, P. Wells, R. Whyman, 1993 .

Control , capabilities and communication : Three key issues for machine – expert collaborative knowledge-acquisition

Geoffrey I. Webb, 1993 .

INSIDE THE UNIFICATION TUTOR : THE ARCHITECTURE OF AN INTELLIGENT EDUCATIONAL SYSTEM

Geoffrey I. Webb, 2005 .

Identifying markers of pathology in SAXS data of malignant tissues of the brain

Geoffrey I. Webb, John E. Gillam, Chris Hall, 2005 .

Accurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features

Geoffrey I. Webb, Jiangning Song, Huilin Wang, 2014, Scientific Reports.

DLGref 2 : Techniques for Inductive Knowledge Refinement

Geoffrey I. Webb, 2005 .

Removing trivial associations in association rule discovery ∗

Geoffrey I. Webb, Songmao Zhang, 2005 .

DISCRIMINANT ATTRIBUTE FINDING IN CLASSIFICATION LEARNING

Geoffrey I. Webb, Simon P. Yip, 1992 .

Evaluation of Low-Level Program Visualisation for Teaching Novice C Programmers

Geoffrey I. Webb, Philip A. Smith, 1999 .

Corrigendum: Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity [Briefings in Bioinformatics, (2017)] doi: 10.1093/bib/bbx018

Liubin Feng, Geoffrey I. Webb, Lukasz Kurgan, 2017 .

Rule optimisation and theory optimisation : Heuristic search strategies for data driven machine learning

Geoffrey I. Webb, G. Webb, 2005 .

Generality is more significant than complexity : Toward an alternative to Occam ’ s Razor

Geoffrey I. Webb, GEOFFREY I WEBB, 1994 .

Not so naive Bayesian classification

Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang, 2003 .

Statistically Sound Exploratory Rule Discovery

Geoffrey I. Webb, 2004 .

Supported Metal Catalysts: Preparation, Characterization, and Function: II. Carbon Monoxide and Dioxygen Adsorption on Platinum Catalysts

Geoffrey I. Webb, P. Wells, R. Whyman, 1993 .

Controlling Familywise Error When Rejecting at Most One Null Hypothesis Each From a Sequence of Sub-Families of Null Hypotheses

Geoffrey I. Webb, M. Laan, 2017, 1702.04025.

Meeting of ICRP.

Geoffrey I. Webb, 2004, Journal of Radiological Protection.

Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites

Geoffrey I. Webb, Jiangning Song, Hong-Bin Shen, 2017, Scientific Reports.

Effect of angiotensin receptor blockade on systemic right ventricular function and size: a small, randomized, placebo-controlled study.

Geoffrey I. Webb, Yves L Provost, J. Therrien, 2008, International journal of cardiology.

The application of machine learning to the diagnosis of glomerular disease

Geoffrey I. Webb, J. Agar, 2006 .

Mining top-k sequential patterns under leverage

Geoffrey I. Webb, Tao Li, Nikolaj Tatti, 2016 .

Exact discovery of the most interesting sequential patterns

Geoffrey I. Webb, Tao Li, F. Petitjean, 2015, ArXiv.

ANALYSIS OF A REACTION–DIFFUSION EPIDEMIC MODEL WITH ASYMPTOMATIC TRANSMISSION

Geoffrey I. Webb, W. Fitzgibbon, J. Morgan, 2020 .

Application of machine learning to a renal biopsy database.

Geoffrey I. Webb, J. Agar, 1992, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

Structural Capacitance in Protein Evolution and Human Diseases

Geoffrey I. Webb, Benjamin T. Porebski, A. Buckle, 2018, bioRxiv.

Structural Capacitance in Protein Evolution and Human Diseases

Geoffrey I. Webb, Benjamin T. Porebski, A. Buckle, 2018, bioRxiv.

Data ageing: a technique for discounting old data during student modelling

Geoffrey I. Webb, Mark Kuzmycz, 1998 .

The adsorption and hydrogenation of benzene and toluene on alumina- and silica- supported palladium and platinum catalysts

Geoffrey I. Webb, José Orozco, J. Orozco, 1983 .

RCPdb: An evolutionary classification and codon usage database for repeat-containing proteins.

Geoffrey I. Webb, J. Whisstock, N. Faux, 2007, Genome research.

A Classification Framework based on VPRS Boundary Region using Random Forest Classifier

Geoffrey I. Webb, 2017 .

Dynamic behaviour of 1,1,2-trichlorotrifluorethane on aluminium(III) chloride and related surfaces

Geoffrey I. Webb, A. Mcculloch, J. M. Winfield, 2000 .

Toward Electronic Surveillance of Invasive Mold Diseases in Hematology-Oncology Patients: An Expert System Combining Natural Language Processing of Chest Computed Tomography Reports, Microbiology, and Antifungal Drug Data.

Geoffrey I. Webb, C. Bergmeir, K. Thursky, 2017, JCO clinical cancer informatics.

An eager splitting strategy for online decision trees in ensembles

Geoffrey I. Webb, Mahsa Salehi, Heitor Murilo Gomes, 2020, Data Mining and Knowledge Discovery.

Copyrigh itance in Protein uman Diseases

Geoffrey I. Webb, Benjamin T. Porebski, A. Buckle, 2018 .

Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis

Geoffrey I. Webb, C. Bergmeir, D. Pilcher, 2017, PloS one.

Radiotracers in fluorine chemistry: Part XVHalogen exchange and isomerization reactions involving chlorofluoroethanes on fluorinated chromia surfaces labelled with anhydrous hydrogen [18F]-fluoride, hydrogen [36Cl]-chloride or 1,1-di[36Cl]chlorotetrafluoroethane

Geoffrey I. Webb, A. Mcculloch, J. M. Winfield, 1991 .

Radiotracers in fluorine chemistry

Geoffrey I. Webb, A. Mcculloch, J. M. Winfield, 1986, Applied Catalysis A: General.

M Mining Group Differences

Geoffrey I. Webb, S. Butler, 2015 .

Supported metal catalysts: Preparation, characterization, and function. V. Activities and selectivities of platinum catalysts in the reactions of cyclopropane, ethene, 1,3-butadiene, and 2-butyne with dihydrogen

Geoffrey I. Webb, P. Wells, R. Whyman, 1996 .

A 14C-radiotracer study of the hydrogenation of ethyne over EUROPT-1

Geoffrey I. Webb, E. A. Arafa, 1993 .

Analyzing concept drift and shift from sample data

Geoffrey I. Webb, Loong Kuan Lee, Bart Goethals, 2018, Data Mining and Knowledge Discovery.

A spatial model of honey bee colony collapse due to pesticide contamination of foraging bees

Geoffrey I. Webb, Yixiang Wu, P. Magal, 2020, Journal of Mathematical Biology.

An eager splitting strategy for online decision trees in ensembles

Geoffrey I. Webb, Heitor Murilo Gomes, A. Bifet, 2022, Data Mining and Knowledge Discovery.

The synthesis of ethene during the oxidative coupling of methane

Geoffrey I. Webb, S. Tsang, A. Dost, 1989 .

Computing Divergences between Discrete Decomposable Models

Geoffrey I. Webb, Loong Kuan Lee, Franccois Petitjean, 2021, 2112.04583.

The parameter identification problem for SIR epidemic models: identifying unreported cases

Geoffrey I. Webb, P. Magal, 2018, Journal of Mathematical Biology.

FastEE: Fast Ensembles of Elastic Distances for time series classification

Geoffrey I. Webb, Chang Wei Tan, F. Petitjean, 2019, Data Mining and Knowledge Discovery.

$$\text {ALR}^n$$ALRn: accelerated higher-order logistic regression

Geoffrey I. Webb, Mark James Carman, Nayyar Zaidi, 2016, Machine-mediated learning.

PCA-based drift and shift quantification framework for multidimensional data

Geoffrey I. Webb, Igor Goldenberg, 2020, Knowledge and Information Systems.

Survey of distance measures for quantifying concept drift and shift in numeric data

Geoffrey I. Webb, Igor Goldenberg, 2018, Knowledge and Information Systems.

Partial purification and some properties of a cholinesterase from bush bean (Phaseolus vulgaris L.) roots.

Geoffrey I. Webb, D. Mansfield, I. E. Taylor, 1978, The Biochemical journal.

SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models

Geoffrey I. Webb, Varun S. Sharma, Jiangning Song, 2019, BMC Bioinformatics.

Halogen exchange reactions for CFC alternatives.

Geoffrey I. Webb, J. Fryer, M. J. Watson, 1999 .

The church in the theology of St. Paul

Geoffrey I. Webb, A. Walker, L. Cerfaux, 1959 .

The complete works of Sir John Vanbrugh

Geoffrey I. Webb, Bonamy Dobrée, J. Vanbrugh, 2022 .

The catalytic hydrogenation of organic compounds–a comparison between the gas–phase, liquid–phase, and electrochemical routes

Geoffrey I. Webb, G. Bond, A. Kuhn, 1983 .

Application of 15N NMR to a quantitative investigation of tautomerism in some thiolopyridines

Geoffrey I. Webb, M. Bourdonneau, C. Brevard, 1985 .

Catalysis by solid acids and bases

Geoffrey I. Webb, S. Malinowski, G. Bond, 1989 .

1H, 13C and 15N NMR study of some triazolo‐ and tetrazolopyridazines and thioxotriazolopyridines

Geoffrey I. Webb, S. Bałoniak, P. Cmoch, 1999 .

15N NMR studies of the tautomeric equilibrium of some 1‐hydroxybenzotriazoles

Geoffrey I. Webb, M. Witanowski, W. Schilf, 1985 .

Applications of 15N NMR to a study of tautomerism in some monocyclic azoles

Geoffrey I. Webb, Lech Stefaniak, Graham A. Webb, 1985 .

Low temperature magnetic susceptibilities of some six-coordinate Co(II) compounds

Geoffrey I. Webb, P. Hunter, 1971 .

The enantioselective hydrogenation of methyl acetoacetate over supported nickel catalysts: I. The modification procedure

Geoffrey I. Webb, M. Keane, 1992 .

Transmission electron microscopy and energy dispersive X-ray spectroscopy studies of Pt-Re/γ-Al2O3 catalysts

Geoffrey I. Webb, Geoffrey Webb, D. Stirling, 1994 .

Some aspects of high‐pressure NMR

Geoffrey I. Webb, I. Ando, 1986 .

Processes occurring during deactivation/regeneration of a vanadia/alumina catalyst under propane dehydrogenation conditions

Geoffrey I. Webb, D. Lennon, S. Jackson, 2001 .

Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods

Gholamreza Haffari, Geoffrey I. Webb, Jiangning Song, 2018, Briefings Bioinform..

iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2018, Briefings Bioinform..

Radiochemical studies of chemisorption and catalysis: IX. The behavior of 14C-ethylene, 14C-propylene and tritium adsorbed on alumina- and silica-supported platinum catalysts

Geoffrey I. Webb, J. Altham, 1970 .

Deactivation and regeneration of alkane dehydrogenation catalysts

Geoffrey I. Webb, S. Jackson, I. M. Matheson, 1997 .

The formation and role of carbonaceous residues in metal-catalysed reactions of hydrocarbons.

Geoffrey I. Webb, 1990 .

Selective Hydrogenation of Cinnamaldehyde over Supported Copper Catalysts

Geoffrey I. Webb, D. Stirling, A. Chambers, 1997 .

Time dependence of magnetic flux penetration in Nb and Nb3Sn

Geoffrey I. Webb, H. Suhl, W. Vernon, 1985 .

Nitrogen NMR and molecular interations

Geoffrey I. Webb, M Witanowski, 1985, Proceedings / Indian Academy of Sciences.

iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization

Geoffrey I. Webb, T. Akutsu, Lukasz Kurgan, 2021, Nucleic acids research.

Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2020, Genom. Proteom. Bioinform..

Modeling Vaccine Efficacy for COVID-19 Outbreak in New York City

Geoffrey I. Webb, J. Demongeot, P. Magal, 2022, Biology.

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2019, Bioinform..

Statistically Sound Exploratory Rule Discovery

Geoffrey I. Webb, 2004 .

A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction

Geoffrey I. Webb, Jiangning Song, Junfeng Xia, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Strong metal-support interactions

Geoffrey I. Webb, G. Bond, R. Burch, 1983 .

iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2019, Briefings Bioinform..

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2018, Briefings Bioinform..

Positive-unlabelled learning of glycosylation sites in the human proteome

Geoffrey I. Webb, K. Chou, T. Lithgow, 2019, BMC Bioinformatics.

Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity

Geoffrey I. Webb, Lukasz Kurgan, Jiangning Song, 2017, Briefings Bioinform..

PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework.

Gholamreza Haffari, Geoffrey I. Webb, Jiangning Song, 2018, Journal of theoretical biology.

Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2021, Briefings Bioinform..

OP 6.3 – 00150 Delivery and long-term expression of CCR5-blocking monoclonal antibody Leronlimab with AAV for ART-free remission from SHIV viremia

Geoffrey I. Webb, J. Sacha, S. Fuchs, 2022, Journal of virus eradication.

Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches

Geoffrey I. Webb, Jiangning Song, Qingyang Hong, 2017, Briefings Bioinform..

NMR of proteins and nucleic acids

Geoffrey I. Webb, S. Matthews, Stephen Matthews, 2005 .

Predicting the number of reported and unreported cases for the COVID-19 epidemics in China, South Korea, Italy, France, Germany and United Kingdom

Geoffrey I. Webb, P. Magal, Z. Liu, 2020, Journal of Theoretical Biology.

Construction of a preliminary three-dimensional structure of angiogenin

Geoffrey I. Webb, B. Howlin, N. Tomkinson, 1994 .

Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework

Geoffrey I. Webb, Jiangning Song, Tatsuya Akutsu, 2018, Briefings Bioinform..

What to Think About Antibiotic Prophylaxis and Infective Endocarditis.

Geoffrey I. Webb, G. Webb, A. Morris, 2016, The Canadian journal of cardiology.

Structural and dynamic properties that govern the stability of an engineered fibronectin type III domain

Geoffrey I. Webb, Benjamin T. Porebski, A. Buckle, 2015, Protein engineering, design & selection : PEDS.

Nuanced Interpretation of Administrative Data: The Case of Hospitalization for Infective Endocarditis in Adults With Tetralogy of Fallot.

Geoffrey I. Webb, A. Opotowsky, Sarah S. Pickard, 2019, The Canadian journal of cardiology.

Beyond Adaptation: Understanding Distributional Changes

Geoffrey I. Webb, E. Hüllermeier, V. Hofer, 2021 .

Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification

Geoffrey I. Webb, Chang Wei Tan, Matthieu Herrmann, 2023, Knowledge and Information Systems.

Geoffrey I. Webb, Charlotte Pelletier, F. Petitjean, 2021, Knowledge and Information Systems.

Fischer-tropsch synthesis and related reactions

Geoffrey I. Webb, G. Bond, V. Ponec, 1982 .

Radiochemical studies of chemisorption and catalysis: X. Adsorptions of [14C]ethylene and [14C]carbon monoxide on rhodium-silica and [14C]ethylene on rhodium-alumina

Geoffrey I. Webb, S. J. Thomson, J. Reid, 1973 .

Modelling of alkane dehydrogenation under transient and steady state conditions over a chromia catalyst using isotopic labelling.

Geoffrey I. Webb, S. Jackson, I. M. Matheson, 1999 .

Recent Progress in the Development of a Debugging Assistant for Computer Programs

Geoffrey I. Webb, P. A. Smith, G. I. Webb, 1992 .

Amercing: An intuitive and effective constraint for dynamic time warping

Geoffrey I. Webb, Matthieu Herrmann, 2023, Pattern Recognit..

Parameterizing the cost function of dynamic time warping with application to time series classification

Geoffrey I. Webb, Chang Wei Tan, Matthieu Herrmann, 2023, Data Mining and Knowledge Discovery.

Radiotracers in fluorine chemistry. Part 18 [1]. Sulphur tetrafluoride chlorofluorination catalysed by Group 1 fluorides supported on fluorinated γ-alumina. A comparison with unsupported fluorides

Geoffrey I. Webb, T. Baird, J. M. Winfield, 1994 .

Preparation and Properties of a Pt/Silica and its Comparison with Europt-1

Geoffrey I. Webb, P. Wells, R. Whyman, 1991 .

Radiochemical studies of chemisorption and catalysis: XII. Studies of the adsorption of [14C]acetylene, [14C]ethylene and [14C]carbon monoxide on silica- and alumina-supported rhodium catalysts

Geoffrey I. Webb, S. J. Thomson, J. Reid, 1973 .

Radiotracers in fluorine chemistry : XIII. Catalysis by Fluorinated Surfaces: The Interaction of [36Cl]-Chlorine Labelled Hydrogen Chloride and 1,1-Dichlorotetrafluoroethane with Fluorinated Chromia Catalysts

Geoffrey I. Webb, A. Mcculloch, J. M. Winfield, 1989 .

Live fuel moisture content estimation from MODIS: A deep learning approach

Geoffrey I. Webb, M. Yebra, F. Petitjean, 2021 .

Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series

Geoffrey I. Webb, Daniel F. Schmidt, Benjamin Lucas, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

A COVID-19 epidemic model with latency period

Geoffrey I. Webb, G. Webb, P. Magal, 2020, Infectious Disease Modelling.

Catalysis of reactions involving the reduction of decomposition of nitrogen oxides

Geoffrey I. Webb, G. Bond, B. Harrison, 1982 .

Discretization Methods

Geoffrey I. Webb, Xindong Wu, Ying Yang, 2005, The Data Mining and Knowledge Discovery Handbook.

A COVID-19 Epidemic Model Predicting the Effectiveness of Vaccination in the US

Geoffrey I. Webb, 2021, Infectious disease reports.

Better Short than Greedy: Interpretable Models through Optimal Rule Boosting

Geoffrey I. Webb, Geoffrey I Webb, Pierre Le Bodic, 2021, SDM.

MultiRocket: multiple pooling operators and transformations for fast and effective time series classification

Geoffrey I. Webb, Chang Wei Tan, C. Bergmeir, 2021, Data Mining and Knowledge Discovery.

Time series extrinsic regression

Geoffrey I. Webb, Chang Wei Tan, C. Bergmeir, 2020, Data Mining and Knowledge Discovery.

Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites

Geoffrey I. Webb, A. Leier, Hongbin Shen, 2017, Scientific Reports.

Vaccine efficacy for COVID-19 outbreak in New York City

Geoffrey I. Webb, P. Magal, Q. Griette, 2021, medRxiv.

Halogen-promoted γ-alumina Part II. The catalytic dehydrochlorination of 1,1,1-trichloroethane at room temperature on chlorinated γ-alumina

Geoffrey I. Webb, J. M. Winfield, J. Thomson, 1991 .

The mechanism of ethylene formation on chloride and oxychloride catalysts

Geoffrey I. Webb, R. Burch, R. Mariscal, 1992 .

Hydra: competing convolutional kernels for fast and accurate time series classification

Geoffrey I. Webb, Daniel F. Schmidt, Angus Dempster, 2022, Data Mining and Knowledge Discovery.

Supported Metal Catalysts: Preparation, Characterization, and Function: IV. Study of Hydrogen Sulphide and Carbonyl Sulphide Adsorption on Platinum Catalysts

Geoffrey I. Webb, S. Jackson, P. Leeming, 1996 .

The retention of hydrogen by supported metal catalysts

Geoffrey I. Webb, G. F. Taylor, S. J. Thomson, 1967 .

Ab‐initio study of germanium di-interstitial using a hybrid functional (HSE)

Geoffrey I. Webb, C. Ouma, E. Igumbor, 2016 .

Adsorption of [14C]acetylene and [14C]ethylene on supported metal catalysts: relevance to the selective hydrogenation of acetylene

Geoffrey I. Webb, S. J. Thomson, A. S. Al-Ammar, 1977 .

Mining significant association rules from uncertain data

Geoffrey I. Webb, W. Shi, Anshu Zhang, 2016, Data Mining and Knowledge Discovery.

Hydrogenation of olefins. Part 2.—Reaction of ethylene with deuterium over alumina-supported ruthenium and osmium

Geoffrey I. Webb, G. Bond, P. Wells, 1965 .

Adsorption of Chiral 2,2‘-Substituted-1,1’-Binaphthalenes onto Silica-Supported Palladium and Nickel

Geoffrey I. Webb, S. Jackson, N. Young, 2006 .

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

Geoffrey I. Webb, F. Petitjean, Angus Dempster, 2020, Data mining and knowledge discovery.

A diffusive SEIR model for community transmission of Covid-19 epidemics: application to Brazil

Geoffrey I. Webb, W. Fitzgibbon, J. Morgan, 2021, Mathematics in Applied Sciences and Engineering.

Extremely Fast Hoeffding Adaptive Tree

Geoffrey I. Webb, Mahsa Salehi, Chaitanya Manapragada, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

The Role of Spirituality in Coping with Visual Impairment

Geoffrey I. Webb, W. Wittich, O. Overbury, 2008 .

The effect of hydrogen concentration on propyne hydrogenation over a carbon supported palladium catalyst studied under continuous flow conditions

Geoffrey I. Webb, D. Lennon, S. Jackson, 2000 .

A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping

Geoffrey I. Webb, Daniel F. Schmidt, Benjamin Lucas, 2020, ArXiv.

Deactivation and selectivity: The effect of hydrogen concentration in propyne hydrogenation over a silica-supported palladium catalyst

Geoffrey I. Webb, D. R. Kennedy, D. Lennon, 1999 .

Fluorination of chlorofluoroethanes by hydrogen (18F)-fluoride in the presence of a chromia catalyst

Geoffrey I. Webb, J. M. Winfield, J. Kijowski, 1984 .

Hydrogenation of acetylene over supported metal catalysts. Part 3.—[14C]tracer studies of the effects of added ethylene and carbon monoxide on the reaction catalysed by silica-supported palladium, rhodium and iridium

Geoffrey I. Webb, A. S. Al-Ammar, 1979 .

An Age and Spatially Structured Model of Tumor Invasion with Haptotaxis II

Geoffrey I. Webb, J. Dyson, Rosanna Villella-Bressan, 2008 .

Medium effects on nitrogen nuclear shielding in methyl nitrate and methyl isothiocyanate assessed by the solvaton model

Geoffrey I. Webb, M. Witanowski, J. Sitkowski, 1987 .

Modification of Supported and Unsupported Nickel Catalysts by α-Amino and α-Hydroxy Acids for Chiral Reactions

Geoffrey I. Webb, 1995 .

Determinants of survival and length of survival in adults with Eisenmenger syndrome.

Geoffrey I. Webb, P. McLaughlin, S. Siu, 1999, The American journal of cardiology.

Cardiopulmonary function in adult patients late after Fontan repair.

Geoffrey I. Webb, W. Williams, P. McLaughlin, 1995, Journal of the American College of Cardiology.

Understanding Unreported Cases in the 2019-Ncov Epidemic Outbreak in Wuhan, China, and the Importance of Major Public Health Interventions (中国武汉新冠疫情中未报告有症状病例的数量及公共卫生防控措施重要性的研究)

Geoffrey I. Webb, P. Magal, P. Magal, 2020 .

MiniRocket

Geoffrey I. Webb, Daniel F. Schmidt, Angus Dempster, 2021, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.

Semi-naive Bayesian Learning

Geoffrey I. Webb, Fei Zheng, 2010, Encyclopedia of Machine Learning and Data Mining.

Impact of Pulmonary Valve Replacement on Arrhythmia Propensity Late After Repair of Tetralogy of Fallot

Geoffrey I. Webb, W. Williams, S. Siu, 2001, Circulation.

Sustained ventricular tachycardia in adult patients late after repair of tetralogy of Fallot.

Geoffrey I. Webb, W. Williams, P. McLaughlin, 1997, Journal of the American College of Cardiology.

Right and left ventricular systolic function late after repair of tetralogy of Fallot.

Geoffrey I. Webb, W. Williams, P. McLaughlin, 2000, The American journal of cardiology.

Pulmonary valve replacement in adults late after repair of tetralogy of fallot: are we operating too late?

Geoffrey I. Webb, W. Williams, P. McLaughlin, 2000, Journal of the American College of Cardiology.

Late arrhythmia in adults with the Mustard procedure for transposition of great arteries: a surrogate marker for right ventricular dysfunction?

Geoffrey I. Webb, P. McLaughlin, N. Merchant, 2000, Heart.

Transcatheter device closure of atrial septal defects in the elderly: technical considerations and short-term outcomes.

Geoffrey I. Webb, M. Warr, P. McLaughlin, 2006, International journal of cardiology.

Model Evaluation

Geoffrey I. Webb, K. Taylor, J. Kutzbach, 2017, Encyclopedia of Machine Learning and Data Mining.

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set

Geoffrey I. Webb, Chang Wei Tan, Daniel F. Schmidt, 2023, ArXiv.

Encyclopedia of Machine Learning

Geoffrey I. Webb, C. Sammut, Claude Sammut, 2011, Encyclopedia of Machine Learning.

Aerobic capacity in adults with various congenital heart diseases.

Geoffrey I. Webb, S. Siu, M. Warsi, 2001, The American journal of cardiology.

Sulphur-35 radiotracer studies of the effect of hydrogen sulphide on a molybdenum disulphide catalyst in the hydrogenation of buta-1,3-diene

Geoffrey I. Webb, S. J. Thomson, K. C. Campbell, 1984 .

CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection

Geoffrey I. Webb, Zahra Zamanzadeh Darban, Shirui Pan, 2023, ArXiv.

Discovery of amino acid motifs for thrombin cleavage and validation using a model substrate.

Geoffrey I. Webb, Geoffrey I Webb, Amy L. Robertson, 2011, Biochemistry.

QUANT: A Minimalist Interval Method for Time Series Classification

Geoffrey I. Webb, Daniel F. Schmidt, Angus Dempster, 2023, ArXiv.

Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series

Geoffrey I. Webb, Chang Wei Tan, Mahsa Salehi, 2023, ArXiv.

Early abandoning and pruning for elastic distances including dynamic time warping

Geoffrey I. Webb, Matthieu Herrmann, 2021, Data Mining and Knowledge Discovery.

Comparison of Candesartan versus Metoprolol for treatment of systemic hypertension after repaired aortic coarctation.

Geoffrey I. Webb, M. Simoons, J. Roos‐Hesselink, 2010, The American journal of cardiology.

Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity

Geoffrey I. Webb, Lukasz Kurgan, Jiangning Song, 2017, Briefings Bioinform..

Arrhythmia and survival in patients >18 years of age after the mustard procedure for complete transposition of the great arteries.

Geoffrey I. Webb, W. Williams, S. Siu, 1999, The American journal of cardiology.

Naïve Bayes

Geoffrey I. Webb, 2020, Encyclopedia of Machine Learning.

Angiotensin-converting enzyme inhibitors in adults after the Mustard procedure.

Geoffrey I. Webb, S. Siu, N. Merchant, 2001, The American journal of cardiology.

CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection

Geoffrey I. Webb, Zahra Zamanzadeh Darban, Shirui Pan, 2023, 2308.09296.

Improving position encoding of transformers for multivariate time series classification

Geoffrey I. Webb, Chang Wei Tan, Mahsa Salehi, 2023, Data Min. Knowl. Discov..

Hydra: competing convolutional kernels for fast and accurate time series classification

Geoffrey I. Webb, Daniel F. Schmidt, Angus Dempster, 2022, Data Mining and Knowledge Discovery.

A model of the Ebola epidemics in West Africa incorporating age of infection

Geoffrey I. Webb, C. Browne, 2015, Journal of biological dynamics.

Symptomatic atrial arrhythmias and transcatheter closure of atrial septal defects in adult patients

Geoffrey I. Webb, P. McLaughlin, S. Siu, 2004, Heart.

Model Evaluation

Geoffrey I. Webb, 2017, Encyclopedia of Machine Learning and Data Mining.

Lung function and aerobic capacity in adult patients following modified Fontan procedure

Geoffrey I. Webb, S. Siu, J. Granton, 2001, Heart.

Tight lower bounds for Dynamic Time Warping

Geoffrey I. Webb, F. Petitjean, 2021, Pattern Recognit..