Geoffrey Holmes

75 papers A* 3B 8C 5Journal 26Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multiple Instance Verification. J. Mach. Learn. Res. Xin Xu, Eibe Frank, Geoffrey Holmes
2024	J	`jnl`	Multiple Instance Verification. CoRR Xin Xu, Eibe Frank, Geoffrey Holmes
2023	—	`conf`	Image Classification Using Class-Agnostic Object Detection. AIAI (1) Geoffrey Holmes, Eibe Frank, Dale Fletcher
2023	—	`conf`	Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning. CoLLAs Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2022	J	`jnl`	Bandwidth-Optimal Random Shuffling for GPUs. ACM Trans. Parallel Comput. Rory Mitchell, Daniel Stokes, Eibe Frank, Geoffrey Holmes
2022	J	`jnl`	Cross-domain Few-shot Meta-learning Using Stacking. CoRR Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes
2022	J	`jnl`	Sampling Permutations for Shapley Value Estimation. J. Mach. Learn. Res. Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes
2021	J	`jnl`	An Empirical Study of Moment Estimators for Quantile Approximation. ACM Trans. Database Syst. Rory Mitchell, Eibe Frank, Geoffrey Holmes
2021	J	`jnl`	Bandwidth-Optimal Random Shuffling for GPUs. CoRR Rory Mitchell, Daniel Stokes, Eibe Frank, Geoffrey Holmes
2021	J	`jnl`	Sampling Permutations for Shapley Value Estimation. CoRR Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes
2020	—	`conf`	Blind Obstacle Avoidance Using Taxicab Geometry for NanorobotAssisted Direct Drug Targeting. EMBC Neda Sharifi, Muhammad Ali, Geoffrey Holmes, Yifan Chen
2020	J	`jnl`	GPUTreeShap: Fast Parallel Tree Interpretability. CoRR Rory Mitchell, Eibe Frank, Geoffrey Holmes
2019	—	`conf`	Ensembles of Nested Dichotomies with Multiple Subset Evaluation. PAKDD (1) Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2019	—	`conf`	On Calibration of Nested Dichotomies. PAKDD (1) Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2019	—	`conf`	Overcoming Channel Uncertainties in Molecular-Communication-Inspired Direct Drug Targeting. EMBC Neda Sharifi, Geoffrey Holmes, Yu Zhou, Muhammad Ali, Yifan Chen
2018	—	`conf`	Biosensing by Learning: Cancer Detection as Iterative optimization. EMBC Yifan Chen, Neda Sharifi, Geoffrey Holmes, U. Kei Cheang
2018	J	`jnl`	Ensembles of Nested Dichotomies with Multiple Subset Evaluation. CoRR Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2018	J	`jnl`	On the Calibration of Nested Dichotomies for Large Multiclass Tasks. CoRR Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2018	J	`jnl`	Probability Calibration Trees. CoRR Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
2018	J	`jnl`	The online performance estimation framework: heterogeneous ensemble learning for data streams. Mach. Learn. Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
2017	J	`jnl`	Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016). Mach. Learn. Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, Zhi-Hua Zhou
2017	J	`jnl`	Introduction: special issue of selected papers from ACML 2015. Mach. Learn. Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou
2017	C	`conf`	Probability Calibration Trees. ACML Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
2015	A*	`conf`	Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams. ICDM Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
2015	C	`conf`	Preface. ACML Geoffrey Holmes, Tie-Yan Liu
2015	—	`conf`	STRATUS: Towards Returning Data Control to Cloud Users. ICA3PP (Workshops and Symposiums) Ryan K. L. Ko, Giovanni Russello, Richard Nelson, Shaoning Pang, Aloysius Cheang, Gillian Dobbie, Abdolhossein Sarrafzadeh, Sivadon Chaisiri, Muhammad Rizwan Asghar, Geoffrey Holmes
2014	J	`jnl`	Active Learning With Drifting Streaming Data. IEEE Trans. Neural Networks Learn. Syst. Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes
2014	B	`conf`	Algorithm Selection on Data Streams. Discovery Science Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
2014	—	`conf`	Towards Meta-learning over Data Streams. MetaSel@ECAI Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
2012	J	`jnl`	Experiment databases - A new way to share, organize and learn from experiments. Mach. Learn. Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes
2011	—	`conf`	Detecting Sentiment Change in Twitter Streaming Data. WAPA Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà
2011	B	`conf`	MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data. Discovery Science Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer
2010	C	`conf`	Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. ACML Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
2010	B	`ed.`	Discovery Science - 13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010. Proceedings Discovery Science Bernhard Pfahringer, Geoffrey Holmes, Achim G. Hoffmann
2010	—	`conf`	Fast Perceptron Decision Tree Learning from Evolving Data Streams. PAKDD (2) Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank
2010	—	`conf`	Leveraging Bagging for Evolving Data Streams. ECML/PKDD (1) Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer
2010	J	`jnl`	WEKA - Experiences with a Java Open-Source Project. J. Mach. Learn. Res. Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
2010	—	`ch.`	Weka-A Machine Learning Workbench for Data Mining. Data Mining and Knowledge Discovery Handbook Eibe Frank, Mark Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg
2009	—	`conf`	Analysing chromatographic data using data mining to monitor petroleum content in water. ITEE Geoffrey Holmes, Dale Fletcher, Peter Reutemann, Eibe Frank
2009	—	`conf`	Classifier Chains for Multi-label Classification. ECML/PKDD (2) Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank
2009	C	`conf`	Improving Adaptive Bagging Methods for Evolving Data Streams. ACML Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà
2009	A*	`conf`	New ensemble methods for evolving data streams. KDD Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà
2009	—	`conf`	The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification. Australasian Conference on Artificial Intelligence Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes
2009	J	`jnl`	The WEKA data mining software: an update. SIGKDD Explor. Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
2008	B	`conf`	Handling Numeric Attributes in Hoeffding Trees. PAKDD Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
2008	B	`conf`	Learning from the Past with Experiment Databases. PRICAI Joaquin Vanschoren, Bernhard Pfahringer, Geoffrey Holmes
2008	—	`conf`	Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search. Australasian Conference on Artificial Intelligence Xing Wu, Geoffrey Holmes, Bernhard Pfahringer
2008	A*	`conf`	Multi-label Classification Using Ensembles of Pruned Sets. ICDM Jesse Read, Bernhard Pfahringer, Geoffrey Holmes
2008	C	`conf`	Organizing the World's Machine Learning Information. ISoLA Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes
2008	—	`conf`	Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis. Australasian Conference on Artificial Intelligence Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes
2007	—	`conf`	New Options for Hoeffding Trees. Australian Conference on Artificial Intelligence Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
2007	J	`jnl`	The Need for Open Source Software in Machine Learning. J. Mach. Learn. Res. Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson
2005	—	`conf`	Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams. CITA Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby
2005	—	`conf`	Stress-Testing Hoeffding Trees. PKDD Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer
2005	—	`ch.`	WEKA - A Machine Learning Workbench for Data Mining. The Data Mining and Knowledge Discovery Handbook Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer
2004	—	`conf`	An Instrument Control System Using Predictive Modelling. ICINCO (1) Geoffrey Holmes, Dale Fletcher
2004	—	`conf`	Clustering Large Datasets Using Cobweb and K-Means in Tandem. Australian Conference on Artificial Intelligence Mi Li, Geoffrey Holmes, Bernhard Pfahringer
2004	J	`jnl`	Data mining in bioinformatics using Weka. Bioinform. Eibe Frank, Mark Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten
2004	—	`conf`	Multinomial Naive Bayes for Text Categorization Revisited. Australian Conference on Artificial Intelligence Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2003	J	`jnl`	Benchmarking Attribute Selection Techniques for Discrete Class Data Mining. IEEE Trans. Knowl. Data Eng. Mark A. Hall, Geoffrey Holmes
2002	—	`conf`	Multiclass Alternating Decision Trees. ECML Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall
2002	B	`conf`	Racing Committees for Large Datasets. Discovery Science Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall
2001	J	`jnl`	Interactive machine learning: letting users build classifiers. Int. J. Hum. Comput. Stud. Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten
2001	B	`conf`	Optimizing the Induction of Alternating Decision Trees. PAKDD Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
2001	—	`conf`	Wrapping Boosters against Noise. Australian Joint Conference on Artificial Intelligence Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidberger
2000	J	`jnl`	Naive Bayes for Regression (Technical Note). Mach. Learn. Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten
1999	—	`conf`	Generating Rule Sets from Model Trees. Australian Joint Conference on Artificial Intelligence Geoffrey Holmes, Mark Hall, Eibe Frank
1998	B	`conf`	Correcting English Text Using PPM Models. Data Compression Conference W. J. Teahan, Stuart Inglis, John G. Cleary, Geoffrey Holmes
1998	—	`conf`	Teaching computer systems to majors: a MIPS based solution. WCAE@ISCA Murray Pearson, Tony McGregor, Geoffrey Holmes
1998	J	`jnl`	Using Model Trees for Classification. Mach. Learn. Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten
1996	—	`conf`	MetaData for Database Mining. MD John G. Cleary, Geoffrey Holmes, Sally Jo Cunningham, Ian H. Witten
1995	—	`conf`	The Development of Holte's 1R Classifier. ANNES Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. Witten
1993	—	`conf`	Improving the image recognition capability of Hopfield neural networks. ANNES Matthew C. Humphrey, Geoffrey Holmes, Sally Jo Cunningham
1993	—	`conf`	Using data mining to support the construction and maintenance of expert systems. ANNES Geoffrey Holmes, Sally Jo Cunningham
1991	J	`jnl`	A Modified Quickprop Algorithm. Neural Comput. Alistair C. Veitch, Geoffrey Holmes