Geoffrey Holmes

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 22

Top Topics

Iterative Optimization

Machine Learning

Top Venues

Publications

Xin Xu, Eibe Frank, Geoffrey Holmes
Multiple Instance Verification. CoRR (2024)
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning. CoLLAs (2023)
Geoffrey Holmes, Eibe Frank, Dale Fletcher
Image Classification Using Class-Agnostic Object Detection. AIAI (1) (2023)
Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes
Sampling Permutations for Shapley Value Estimation. J. Mach. Learn. Res. 23 (2022)
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes
Cross-domain Few-shot Meta-learning Using Stacking. CoRR (2022)
Rory Mitchell, Daniel Stokes, Eibe Frank, Geoffrey Holmes
Bandwidth-Optimal Random Shuffling for GPUs. ACM Trans. Parallel Comput. 9 (1) (2022)
Rory Mitchell, Daniel Stokes, Eibe Frank, Geoffrey Holmes
Bandwidth-Optimal Random Shuffling for GPUs. CoRR (2021)
Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes
Sampling Permutations for Shapley Value Estimation. CoRR (2021)
Rory Mitchell, Eibe Frank, Geoffrey Holmes
An Empirical Study of Moment Estimators for Quantile Approximation. ACM Trans. Database Syst. 46 (1) (2021)
Rory Mitchell, Eibe Frank, Geoffrey Holmes
GPUTreeShap: Fast Parallel Tree Interpretability. CoRR (2020)
Neda Sharifi, Muhammad Ali, Geoffrey Holmes, Yifan Chen
Blind Obstacle Avoidance Using Taxicab Geometry for NanorobotAssisted Direct Drug Targeting. EMBC (2020)
Neda Sharifi, Geoffrey Holmes, Yu Zhou, Muhammad Ali, Yifan Chen
Overcoming Channel Uncertainties in Molecular-Communication-Inspired Direct Drug Targeting. EMBC (2019)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. PAKDD (1) (2019)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
On Calibration of Nested Dichotomies. PAKDD (1) (2019)
Yifan Chen, Neda Sharifi, Geoffrey Holmes, U. Kei Cheang
Biosensing by Learning: Cancer Detection as Iterative optimization. EMBC (2018)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
On the Calibration of Nested Dichotomies for Large Multiclass Tasks. CoRR (2018)
Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
The online performance estimation framework: heterogeneous ensemble learning for data streams. Mach. Learn. 107 (1) (2018)
Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
Probability Calibration Trees. CoRR (2018)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. CoRR (2018)
Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou
Introduction: special issue of selected papers from ACML 2015. Mach. Learn. 106 (4) (2017)
Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
Probability Calibration Trees. ACML (2017)
Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, Zhi-Hua Zhou
Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016). Mach. Learn. 106 (5) (2017)
Ryan K. L. Ko, Giovanni Russello, Richard Nelson, Shaoning Pang, Aloysius Cheang, Gillian Dobbie, Abdolhossein Sarrafzadeh, Sivadon Chaisiri, Muhammad Rizwan Asghar, Geoffrey Holmes
STRATUS: Towards Returning Data Control to Cloud Users. ICA3PP (Workshops and Symposiums) (2015)
Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams. ICDM (2015)
Geoffrey Holmes, Tie-Yan Liu
Preface. ACML (2015)
Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
Towards Meta-learning over Data Streams. MetaSel@ECAI (2014)
Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
Algorithm Selection on Data Streams. Discovery Science (2014)
Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes
Active Learning With Drifting Streaming Data. IEEE Trans. Neural Networks Learn. Syst. 25 (1) (2014)
Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes
Experiment databases - A new way to share, organize and learn from experiments. Mach. Learn. 87 (2) (2012)
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer
MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data. Discovery Science (2011)
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà
Detecting Sentiment Change in Twitter Streaming Data. WAPA (2011)
Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
WEKA - Experiences with a Java Open-Source Project. J. Mach. Learn. Res. 11 (2010)
Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. ACML (2010)
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank
Fast Perceptron Decision Tree Learning from Evolving Data Streams. PAKDD (2) (2010)
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer
Leveraging Bagging for Evolving Data Streams. ECML/PKDD (1) (2010)
Geoffrey Holmes, Dale Fletcher, Peter Reutemann, Eibe Frank
Analysing chromatographic data using data mining to monitor petroleum content in water. ITEE (2009)
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà
Improving Adaptive Bagging Methods for Evolving Data Streams. ACML (2009)
Mark A. Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
The WEKA data mining software: an update. SIGKDD Explor. 11 (1) (2009)
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes
The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification. Australasian Conference on Artificial Intelligence (2009)
Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank
Classifier Chains for Multi-label Classification. ECML/PKDD (2) (2009)
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà
New ensemble methods for evolving data streams. KDD (2009)
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis. Australasian Conference on Artificial Intelligence (2008)
Xing Wu, Geoffrey Holmes, Bernhard Pfahringer
Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search. Australasian Conference on Artificial Intelligence (2008)
Joaquin Vanschoren, Bernhard Pfahringer, Geoffrey Holmes
Learning from the Past with Experiment Databases. PRICAI (2008)
Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes
Organizing the World's Machine Learning Information. ISoLA (2008)
Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
Handling Numeric Attributes in Hoeffding Trees. PAKDD (2008)
Jesse Read, Bernhard Pfahringer, Geoffrey Holmes
Multi-label Classification Using Ensembles of Pruned Sets. ICDM (2008)
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
The Need for Open Source Software in Machine Learning. J. Mach. Learn. Res. 8 (2007)
Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
New Options for Hoeffding Trees. Australian Conference on Artificial Intelligence (2007)
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby
Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams. CITA (2005)
Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer
Stress-Testing Hoeffding Trees. PKDD (2005)
Geoffrey Holmes, Dale Fletcher
An Instrument Control System Using Predictive Modelling. ICINCO (1) (2004)
Mi Li, Geoffrey Holmes, Bernhard Pfahringer
Clustering Large Datasets Using Cobweb and K-Means in Tandem. Australian Conference on Artificial Intelligence (2004)
Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Multinomial Naive Bayes for Text Categorization Revisited. Australian Conference on Artificial Intelligence (2004)
Eibe Frank, Mark A. Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten
Data mining in bioinformatics using Weka. Bioinform. 20 (15) (2004)
Mark A. Hall, Geoffrey Holmes
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining. IEEE Trans. Knowl. Data Eng. 15 (6) (2003)
Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark A. Hall
Racing Committees for Large Datasets. Discovery Science (2002)
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark A. Hall
Multiclass Alternating Decision Trees. ECML (2002)
Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark A. Hall, Ian H. Witten
Interactive machine learning: letting users build classifiers. Int. J. Hum. Comput. Stud. 55 (3) (2001)
Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidberger
Wrapping Boosters against Noise. Australian Joint Conference on Artificial Intelligence (2001)
Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
Optimizing the Induction of Alternating Decision Trees. PAKDD (2001)
Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten
Naive Bayes for Regression (Technical Note). Mach. Learn. 41 (1) (2000)
Geoffrey Holmes, Mark A. Hall, Eibe Frank
Generating Rule Sets from Model Trees. Australian Joint Conference on Artificial Intelligence (1999)
Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten
Using Model Trees for Classification. Mach. Learn. 32 (1) (1998)
W. J. Teahan, Stuart Inglis, John G. Cleary, Geoffrey Holmes
Correcting English Text Using PPM Models. Data Compression Conference (1998)
Murray Pearson, Tony McGregor, Geoffrey Holmes
Teaching computer systems to majors: a MIPS based solution. WCAE@ISCA (1998)
John G. Cleary, Geoffrey Holmes, Sally Jo Cunningham, Ian H. Witten
MetaData for Database Mining. MD (1996)
Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. Witten
The Development of Holte's 1R Classifier. ANNES (1995)
Matthew C. Humphrey, Geoffrey Holmes, Sally Jo Cunningham
Improving the image recognition capability of Hopfield neural networks. ANNES (1993)
Geoffrey Holmes, Sally Jo Cunningham
Using data mining to support the construction and maintenance of expert systems. ANNES (1993)
Alistair C. Veitch, Geoffrey Holmes
A Modified Quickprop Algorithm. Neural Comput. 3 (3) (1991)