Geoff Holmes

According to our database, Geoff Holmes authored at least 105 papers between 1991 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Feature extractor stacking for cross-domain few-shot learning.

Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes

Mach. Learn., January, 2024

Multiple Instance Verification.

Xin Xu, Eibe Frank, Geoffrey Holmes

CoRR, 2024

2023

Image Classification Using Class-Agnostic Object Detection.

Geoffrey Holmes, Eibe Frank, Dale Fletcher

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning.

Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Bandwidth-Optimal Random Shuffling for GPUs.

Rory Mitchell, Daniel Stokes, Eibe Frank, Geoffrey Holmes

ACM Trans. Parallel Comput., 2022

GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles.

Rory Mitchell, Eibe Frank, Geoff Holmes

PeerJ Comput. Sci., 2022

Sampling Permutations for Shapley Value Estimation.

Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes

J. Mach. Learn. Res., 2022

Cross-domain Few-shot Meta-learning Using Stacking.

Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes

CoRR, 2022

Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models.

Geoff Holmes, Eibe Frank, Dale Fletcher, Corey Sterling

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract.

Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes

Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

2021

An Empirical Study of Moment Estimators for Quantile Approximation.

Rory Mitchell, Eibe Frank, Geoffrey Holmes

ACM Trans. Database Syst., 2021

Classifier Chains: A Review and Perspectives.

Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank

J. Artif. Intell. Res., 2021

2020

GPUTreeShap: Fast Parallel Tree Interpretability.

Rory Mitchell, Eibe Frank, Geoffrey Holmes

CoRR, 2020

Blind Obstacle Avoidance Using Taxicab Geometry for NanorobotAssisted Direct Drug Targeting.

Neda Sharifi, Muhammad Ali, Geoffrey Holmes, Yifan Chen

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Correction to: Adaptive random forests for evolving data stream classification.

Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem

Mach. Learn., 2019

Ensembles of Nested Dichotomies with Multiple Subset Evaluation.

Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

On Calibration of Nested Dichotomies.

Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Overcoming Channel Uncertainties in Molecular-Communication-Inspired Direct Drug Targeting.

Neda Sharifi, Geoffrey Holmes, Yu Zhou, Muhammad Ali, Yifan Chen

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

The online performance estimation framework: heterogeneous ensemble learning for data streams.

Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren

Mach. Learn., 2018

Which method to use? An assessment of data mining methods in Environmental Data Science.

Karina Gibert, Joaquín Izquierdo, Miquel Sànchez-Marrè, Serena H. Hamilton, Ignasi Rodríguez-Roda, Geoff Holmes

Environ. Model. Softw., 2018

Environmental Data Science.

Karina Gibert, Jeffery S. Horsburgh, Ioannis N. Athanasiadis, Geoff Holmes

Environ. Model. Softw., 2018

Preface to the thematic issue on Environmental Data Science. Applications to air quality and water cycle.

Karina Gibert, Jeffery S. Horsburgh, Ioannis N. Athanasiadis, Geoff Holmes

Environ. Model. Softw., 2018

On the Calibration of Nested Dichotomies for Large Multiclass Tasks.

Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes

CoRR, 2018

Biosensing by Learning: Cancer Detection as Iterative optimization.

Yifan Chen, Neda Sharifi, Geoffrey Holmes, U. Kei Cheang

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Introduction: special issue of selected papers from ACML 2015.

Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou

Mach. Learn., 2017

Adaptive random forests for evolving data stream classification.

Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem

Mach. Learn., 2017

Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016).

Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, Zhi-Hua Zhou

Mach. Learn., 2017

Extremely Fast Decision Tree Mining for Evolving Data Streams.

Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Probability Calibration Trees.

Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

MEKA: A Multi-label/Multi-target Extension to WEKA.

Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes

J. Mach. Learn. Res., 2016

2015

Evaluation methods and decision theory for classification of streaming data with temporal dependence.

Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes

Mach. Learn., 2015

Big Data with ADAMS.

Peter Reutemann, Geoff Holmes

Proceedings of the 4th International Workshop on Big Data, 2015

Efficient Online Evaluation of Big Data Stream Classifiers.

Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams.

Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

STRATUS: Towards Returning Data Control to Cloud Users.

Ryan K. L. Ko, Giovanni Russello, Richard Nelson, Shaoning Pang, Aloysius Cheang, Gillian Dobbie, Abdolhossein Sarrafzadeh, Sivadon Chaisiri, Muhammad Rizwan Asghar, Geoffrey Holmes

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Digital Libraries Unfurled: Supporting the New Zealand Flag Debate.

Brandon M. Thomas, Joanna M. Stewart, David Bainbridge, David M. Nichols, William J. Rogers, Geoff Holmes

Proceedings of the Research and Advanced Technology for Digital Libraries, 2015

Preface.

Geoffrey Holmes, Tie-Yan Liu

Proceedings of The 7th Asian Conference on Machine Learning, 2015

Provenance for cloud data accountability.

Alan Yu Shyang Tan, Ryan K. L. Ko, Geoff Holmes, Bill Rogers

Proceedings of the Cloud Security Ecosystem, 2015

2014

Active Learning With Drifting Streaming Data.

Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes

IEEE Trans. Neural Networks Learn. Syst., 2014

Towards Meta-learning over Data Streams.

Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren

Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Algorithm Selection on Data Streams.

Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren

Proceedings of the Discovery Science - 17th International Conference, 2014

2013

Efficient data stream classification via probabilistic adaptive windows.

Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them.

Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

CD-MOA: Change Detection Framework for Massive Online Analysis.

Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Security and Data Accountability in Distributed Systems: A Provenance Survey.

Yu Shyang Tan, Ryan K. L. Ko, Geoff Holmes

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

2012

Ensembles of Restricted Hoeffding Trees.

Albert Bifet, Eibe Frank, Geoff Holmes, Bernhard Pfahringer

ACM Trans. Intell. Syst. Technol., 2012

Experiment databases - A new way to share, organize and learn from experiments.

Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes

Mach. Learn., 2012

Scalable and efficient multi-label classification for evolving data streams.

Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer

Mach. Learn., 2012

Developing data mining applications.

Geoff Holmes

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data.

Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Stream Data Mining Using the MOA Framework.

Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read

Proceedings of the Database Systems for Advanced Applications, 2012

2011

Classifier chains for multi-label classification.

Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank

Mach. Learn., 2011

MOA Concept Drift Active Learning Strategies for Streaming Data.

Indre Zliobaite, Albert Bifet, Geoff Holmes, Bernhard Pfahringer

Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

Streaming Multi-label Classification.

Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer

Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

Detecting Sentiment Change in Twitter Streaming Data.

Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà

Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

Active Learning with Evolving Streaming Data.

Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

MOA: A Real-Time Analytics Open Source Framework.

Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

An effective evaluation measure for clustering on evolving data streams.

Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Mining frequent closed graphs on evolving data streams.

Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data.

Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer

Proceedings of the Discovery Science - 14th International Conference, 2011

2010

Weka-A Machine Learning Workbench for Data Mining.

Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

WEKA - Experiences with a Java Open-Source Project.

Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten

J. Mach. Learn. Res., 2010

MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering.

Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl

Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

MOA: Massive Online Analysis.

Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer

J. Mach. Learn. Res., 2010

Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking.

Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Leveraging Bagging for Evolving Data Streams.

Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Fast Perceptron Decision Tree Learning from Evolving Data Streams.

Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA.

Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer

Proceedings of the ICDMW 2010, 2010

2009

The WEKA data mining software: an update.

Mark A. Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten

SIGKDD Explor., 2009

New ensemble methods for evolving data streams.

Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Analysing chromatographic data using data mining to monitor petroleum content in water.

Geoffrey Holmes, Dale Fletcher, Peter Reutemann, Eibe Frank

Proceedings of the Information Technologies in Environmental Engineering, 2009

The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification.

Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

Improving Adaptive Bagging Methods for Evolving Data Streams.

Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà

Proceedings of the Advances in Machine Learning, 2009

2008

ONTRACK: Dynamically adapting music playback to support navigation.

Matt Jones, Steve Jones, Gareth Bradley, Nigel Warren, David Bainbridge, Geoff Holmes

Pers. Ubiquitous Comput., 2008

Learning from the Past with Experiment Databases.

Joaquin Vanschoren, Bernhard Pfahringer, Geoffrey Holmes

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Handling Numeric Attributes in Hoeffding Trees.

Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Organizing the World's Machine Learning Information.

Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes

Proceedings of the Leveraging Applications of Formal Methods, 2008

Multi-label Classification Using Ensembles of Pruned Sets.

Jesse Read, Bernhard Pfahringer, Geoffrey Holmes

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search.

Xing Wu, Geoffrey Holmes, Bernhard Pfahringer

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis.

Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007

The Need for Open Source Software in Machine Learning.

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

J. Mach. Learn. Res., 2007

New Options for Hoeffding Trees.

Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2005

Stress-Testing Hoeffding Trees.

Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams.

Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby

Proceedings of the 4th International Conference on IT in Asia, 2005

WEKA - A Machine Learning Workbench for Data Mining.

Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004

Data mining in bioinformatics using Weka.

Eibe Frank, Mark A. Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten

Bioinform., 2004

An Instrument Control System Using Predictive Modelling.

Geoffrey Holmes, Dale Fletcher

Proceedings of the ICINCO 2004, 2004

Clustering Large Datasets Using Cobweb and K-Means in Tandem.

Mi Li, Geoffrey Holmes, Bernhard Pfahringer

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Multinomial Naive Bayes for Text Categorization Revisited.

Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003

Benchmarking Attribute Selection Techniques for Discrete Class Data Mining.

Mark A. Hall, Geoffrey Holmes

IEEE Trans. Knowl. Data Eng., 2003

2002

Multiclass Alternating Decision Trees.

Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark A. Hall

Proceedings of the Machine Learning: ECML 2002, 2002

Racing Committees for Large Datasets.

Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark A. Hall

Proceedings of the Discovery Science, 5th International Conference, 2002

2001

Interactive machine learning: letting users build classifiers.

Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark A. Hall, Ian H. Witten

Int. J. Hum. Comput. Stud., 2001

Optimizing the Induction of Alternating Decision Trees.

Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby

Proceedings of the Knowledge Discovery and Data Mining, 2001

Wrapping Boosters against Noise.

Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidberger

Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

2000

Naive Bayes for Regression (Technical Note).

Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten

Mach. Learn., 2000

1999

Generating Rule Sets from Model Trees.

Geoffrey Holmes, Mark A. Hall, Eibe Frank

Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1998

Using Model Trees for Classification.

Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten

Mach. Learn., 1998

Teaching computer systems to majors: a MIPS based solution.

Murray Pearson, Tony McGregor, Geoffrey Holmes

Proceedings of the 1998 workshop on Computer architecture education, 1998

Correcting English Text Using PPM Models.

W. J. Teahan, Stuart Inglis, John G. Cleary, Geoffrey Holmes

Proceedings of the Data Compression Conference, 1998

1996

MetaData for Database Mining.

John G. Cleary, Geoffrey Holmes, Sally Jo Cunningham, Ian H. Witten

Proceedings of the 1st IEEE Metadata Conference 1996, MD 1996, Silver Spring, 1996

1995

The Development of Holte's 1R Classifier.

Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. Witten

Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995

1993

Improving the image recognition capability of Hopfield neural networks.

Matthew C. Humphrey, Geoffrey Holmes, Sally Jo Cunningham

Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

Using data mining to support the construction and maintenance of expert systems.

Geoffrey Holmes, Sally Jo Cunningham

Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

1991

A Modified Quickprop Algorithm.

Alistair C. Veitch, Geoffrey Holmes

Neural Comput., 1991