| 2025 | AAAI | Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning. | Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp |
| 2024 | CIKM | Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. | Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan |
| 2024 | KDD | A Hands-on Introduction to Time Series Classification and Regression. | Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb |
| 2023 | AAAI | Computing Divergences between Discrete Decomposable Models. | Loong Kuan Lee, Nico Piatkowski, Franois Petitjean, Geoffrey I. Webb |
| 2023 | ICDM | Computing Marginal and Conditional Divergences between Decomposable Models with Applications. | Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski |
| 2023 | ICMLA | Rapid Identification of Protein Formulations with Bayesian Optimisation. | Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti |
| 2022 | ICDM | Extremely Fast Hoeffding Adaptive Tree. | Chaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb |
| 2022 | PAKDD | Smooth Perturbations for Time Series Adversarial Attacks. | Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier |
| 2021 | ICDM | Ultra fast warping window optimization for Dynamic Time Warping. | Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb |
| 2021 | KDD | MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification. | Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb |
| 2021 | SDM | Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. | Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb |
| 2020 | DSAA | No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. | Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, Franois Petitjean, Katharina Morik |
| 2020 | IGARSS | Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series. | Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb, Franois Petitjean |
| 2019 | IGARSS | Deep Learning for the Classification of Sentinel-2 Image Time Series. | Charlotte Pelletier, Geoffrey I. Webb, Franois Petitjean |
| 2019 | SDM | Elastic bands across the path: A new framework and method to lower bound DTW. | Chang Wei Tan, Franois Petitjean, Geoffrey I. Webb |
| 2018 | KDD | Extremely Fast Decision Tree. | Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi |
| 2018 | KDD | Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data. | Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb |
| 2018 | SDM | Efficient search of the best warping window for Dynamic Time Warping. | Chang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, Franois Petitjean |
| 2018 | SDM | Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities. | Nayyar Abbas Zaidi, Franois Petitjean, Geoffrey I. Webb |
| 2017 | ICDM | Generating Synthetic Time Series to Augment Sparse Datasets. | Germain Forestier, Franois Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn J. Keogh |
| 2017 | SDM | Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining. | Wilhelmiina Hmlinen, Geoffrey I. Webb |
| 2017 | SDM | Indexing and classifying gigabytes of time series under time warping. | Chang Wei Tan, Geoffrey I. Webb, Franois Petitjean |
| 2017 | SDM | A Fast Trust-Region Newton Method for Softmax Logistic Regression. | Nayyar Abbas Zaidi, Geoffrey I. Webb |
| 2016 | KDD | Scalable Learning of Graphical Models. | Franois Petitjean, Geoffrey I. Webb |
| 2016 | KDD | A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests. | Geoffrey I. Webb, Franois Petitjean |
| 2016 | PAKDD | Preconditioning an Artificial Neural Network Using Naive Bayes. | Nayyar Abbas Zaidi, Franois Petitjean, Geoffrey I. Webb |
| 2015 | SDM | Scaling log-linear analysis to datasets with thousands of variables. | Franois Petitjean, Geoffrey I. Webb |
| 2014 | ICDM | A Statistically Efficient and Scalable Method for Log-Linear Analysis of High-Dimensional Data. | Franois Petitjean, Lloyd Allison, Geoffrey I. Webb |
| 2014 | ICDM | Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification. | Franois Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh |
| 2014 | ICDM | Contrary to Popular Belief Incremental Discretization can be Sound, Computationally Efficient and Extremely Useful for Streaming Data. | Geoffrey I. Webb |
| 2014 | ICDM | Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression. | Nayyar Abbas Zaidi, Mark James Carman, Jess Cerquides, Geoffrey I. Webb |
| 2014 | KDD | Statistically sound pattern discovery. | Wilhelmiina Hmlinen, Geoffrey I. Webb |
| 2014 | KDD | Does social good justify risking personal privacy? | Raghu Ramakrishnan, Geoffrey I. Webb |
| 2014 | PAKDD | Highly Scalable Attribute Selection for Averaged One-Dependence Estimators. | Shenglei Chen, Ana M. Martnez, Geoffrey I. Webb |
| 2013 | ICDM | Scaling Log-Linear Analysis to High-Dimensional Data. | Franois Petitjean, Geoffrey I. Webb, Ann E. Nicholson |
| 2013 | KDD | Panel: a data scientist's guide to making money from start-ups. | Foster J. Provost, Geoffrey I. Webb |
| 2013 | PAKDD | Fast and Effective Single Pass Bayesian Learning. | Nayyar Abbas Zaidi, Geoffrey I. Webb |
| 2012 | ADC | Discovering Associations in High-Dimensional Data. | Geoffrey I. Webb |
| 2012 | HAIS | Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers. | Ana M. Martnez, Geoffrey I. Webb, M. Julia Flores, Jos A. Gmez |
| 2012 | PAKDD | Techniques for Efficient Learning without Search. | Houssam Salem, Pramuditha Suraweera, Geoffrey I. Webb, Janice R. Boughton |
| 2009 | PAKDD | A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification. | Bin Liu, Ying Yang, Geoffrey I. Webb, Janice R. Boughton |
| 2008 | AusDM | Multi-Strategy Ensemble Learning, Ensembles of Bayesian Classifiers, and the Problem of False Discoveries. | Geoffrey I. Webb |
| 2007 | PAKDD | Finding the Real Patterns. | Geoffrey I. Webb |
| 2006 | ADMA | Incremental Discretization for Nave-Bayes Classifier. | Jingli Lu, Ying Yang, Geoffrey I. Webb |
| 2006 | ICML | Efficient lazy elimination for averaged one-dependence estimators. | Fei Zheng, Geoffrey I. Webb |
| 2006 | KDD | Discovering significant rules. | Geoffrey I. Webb |
| 2005 | PAKDD | Pruning Derivative Partial Rules During Impact Rule Discovery. | Shiying Huang, Geoffrey I. Webb |
| 2005 | SDM | Discarding Insignificant Rules during Impact Rule Discovery in Large, Dense Databases. | Shiying Huang, Geoffrey I. Webb |
| 2004 | PAKDD | Mining Negative Rules Using GRD. | Dhananjay R. Thiruvady, Geoffrey I. Webb |
| 2004 | PAKDD | Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory. | Zhihai Wang, Geoffrey I. Webb, Fei Zheng |
| 2003 | KDD | On detecting differences between groups. | Geoffrey I. Webb, Shane M. Butler, Douglas A. Newlands |
| 2003 | PAKDD | A New Restricted Bayesian Network Classifier. | Hongbo Shi, Zhihai Wang, Geoffrey I. Webb, Houkuan Huang |
| 2003 | PAKDD | Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. | Ying Yang, Geoffrey I. Webb |
| 2002 | AusDM | A Heuristic Lazy Bayesian Rule Algorithm. | Zhihai Wang, Geoffrey I. Webb |
| 2002 | AusDM | Averaged One-Dependence Estimators: Preliminary Results. | Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang |
| 2002 | ICDM | Experimentation and Self Learning in Continuous Database Marketing. | James E. Pearce, Geoffrey I. Webb, Robin N. Shaw, Brian J. Garner |
| 2002 | ICDM | Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. | Zhihai Wang, Geoffrey I. Webb |
| 2002 | ICML | Non-Disjoint Discretization for Naive-Bayes Classifiers. | Ying Yang, Geoffrey I. Webb |
| 2001 | KDD | Discovering associations with numeric variables. | Geoffrey I. Webb |
| 2000 | KDD | Efficient search for association rules. | Geoffrey I. Webb |
| 1999 | ICML | Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. | Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting |
| 1999 | IJCAI | Decision Tree Grafting From the All Tests But One Partition. | Geoffrey I. Webb |
| 1999 | PAKDD | Convex Hulls in Concept Induction. | Douglas A. Newlands, Geoffrey I. Webb |
| 1999 | PAKDD | Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. | Zijian Zheng, Geoffrey I. Webb |
| 1998 | ICTAI | Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning. | Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting |
| 1998 | ITS | Evaluation of Data Aging: A Technique for Discounting Old Data During Student Modeling. | Geoffrey I. Webb, Mark Kuzmycz |
| 1997 | IJCAI | Decision Tree Grafting. | Geoffrey I. Webb |
| 1996 | PRICAI | Cost-Sensitive Specialization. | Geoffrey I. Webb |
| 1992 | ITS | Evaluation of Feature Based Modelling in Subtraction. | Mark Kuzmycz, Geoffrey I. Webb |