Geoffrey Holmes

University of Waikato — New Zealand

Computer Science · Physical Sciences

54h-index36.9kcitations243works0.12yr avg
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Research Topics

Machine Learning and Data Classification(64), Data Stream Mining Techniques(57), Data Mining Algorithms and Applications(47), Time Series Analysis and Forecasting(23), Anomaly Detection Techniques and Applications(19)

Publications242 total

Rethinking the Concept of Pixel Intensity Contrast From a Machine Learning Perspective
IEEE Sensors Letters·2025Open Access
Automatic species identification from images for Aotearoa
Journal of the Royal Society of New Zealand·2025Open Access
Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains
arXiv (Cornell University)·2025Open Access
Assessing machine learning models for near-infrared regression by measuring stability towards diffeomorphisms
Chemometrics and Intelligent Laboratory Systems·2025· 1 citedOpen Access
Assessing Machine Learning Models for Near-Infrared Regression by Measuring Stability Towards Diffeomorphisms
SSRN Electronic Journal·2025Open Access
The State and the Professions: The New Men of Government
2024
Multiple Instance Verification
arXiv (Cornell University)·2024Open Access
Chemometric models for high-throughput biomass grading of the kelp Ecklonia radiata, using mid-infrared (MIR) and near-infrared (NIR) spectroscopy
Algal Research·2023· 10 cited
Feature extractor stacking for cross-domain few-shot learning
Machine Learning·2023· 3 citedOpen Access
Augmenting NIR Spectra in deep regression to improve calibration
Chemometrics and Intelligent Laboratory Systems·2023· 18 cited
Image Classification Using Class-Agnostic Object Detection
IFIP advances in information and communication technology·2023Open Access
High Mileage Emission Deterioration Factors from Euro 6 Positive and Compression Ignition Vehicles
SAE technical papers on CD-ROM/SAE technical paper series·2022· 1 cited
Feature Extractor Stacking for Cross-domain Few-shot Learning
arXiv (Cornell University)·2022· 1 citedOpen Access
Experiments in cross‐domain few‐shot learning for image classification
Journal of the Royal Society of New Zealand·2022· 4 citedOpen Access
Ensemble of Fine-Tuned Deep Learning Networks for Wet-Blue Leather Segmentation
Journal of the American Leather Chemists Association·2022
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles
PeerJ Computer Science·2022· 89 citedOpen Access
Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models
2022· 3 citedOpen Access
Bandwidth-Optimal Random Shuffling for GPUs
ACM Transactions on Parallel Computing·2022· 1 citedOpen Access
Experiments in Cross-Domain Few-Shot Learning for Image Classification Reproducibility Package
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Sampling Permutations for Shapley Value Estimation
arXiv (Cornell University)·2021· 26 citedOpen Access
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Frequent Co-authors

Bernhard Pfahringer(28), Eibe Frank(17), Albert Bifet(17), Ian H. Witten(11), Jesse Read(10), Mark Hall(6), Richard Kirkby(6), David W. Keith(5), Kenton Heidel(4), Mark A. Hall(4), Indrė Žliobaitė(4), David St. Angelo(3), Len Trigg(3), Leonard E. Trigg(3), Ricard Gavaldà(3), Peter Reutemann(2), Philipp Kranen(2), Hardy Kremer(2), Timm Jansen(2), Thomas Seidl(2)