Eibe Frank

Eibe Frank

University of Waikato

H-index: 71

Oceania-New Zealand

About Eibe Frank

Eibe Frank, With an exceptional h-index of 71 and a recent h-index of 50 (since 2020), a distinguished researcher at University of Waikato, specializes in the field of Machine Learning, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Feature extractor stacking for cross-domain few-shot learning

Eliciting Informative Priors by Modeling Expert Decision Making

Augmenting NIR Spectra in deep regression to improve calibration

Image Classification Using Class-Agnostic Object Detection

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

Large scale K-means clustering using GPUs

teex: A toolbox for the evaluation of explanations

Showcasing the TAIAO project: providing resources for machine learning from images of New Zealand's natural environment

Eibe Frank Information

University

Position

Professor Department of Computer Science

Citations(all)

108948

Citations(since 2020)

30540

Cited By

88755

hIndex(all)

71

hIndex(since 2020)

50

i10Index(all)

140

i10Index(since 2020)

111

Email

University Profile Page

University of Waikato

Google Scholar

View Google Scholar Profile

Eibe Frank Skills & Research Interests

Machine Learning

Data Mining

Top articles of Eibe Frank

Title

Journal

Author(s)

Publication Date

Feature extractor stacking for cross-domain few-shot learning

Machine Learning

Hongyu Wang

Eibe Frank

Bernhard Pfahringer

Michael Mayo

Geoffrey Holmes

2024/1

Eliciting Informative Priors by Modeling Expert Decision Making

Decision Analysis

Julia R Falconer

Eibe Frank

Devon LL Polaschek

Chaitanya Joshi

2023/9/15

Augmenting NIR Spectra in deep regression to improve calibration

Chemometrics and Intelligent Laboratory Systems

Mark Wohlers

Andrew McGlone

Eibe Frank

Geoffrey Holmes

2023/9/15

Image Classification Using Class-Agnostic Object Detection

Geoffrey Holmes

Eibe Frank

Dale Fletcher

2023/6/1

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

Hongyu Wang

Eibe Frank

Bernhard Pfahringer

Geoffrey Holmes

2023/11/20

Large scale K-means clustering using GPUs

Data Mining and Knowledge Discovery

Mi Li

Eibe Frank

Bernhard Pfahringer

2023/1

teex: A toolbox for the evaluation of explanations

Neurocomputing

Jesús M Antoñanzas

Yunzhe Jia

Eibe Frank

Albert Bifet

Bernhard Pfahringer

2023/10/28

Showcasing the TAIAO project: providing resources for machine learning from images of New Zealand's natural environment

Journal of the Royal Society of New Zealand

Nick Lim

Albert Bifet

Daniel Bull

Eibe Frank

Yunzhe Jia

...

2023/1/1

Bridging the gap between offline and online continual learning

Yaqian Zhang

Eibe Frank

Bernhard Pfahringer

Albert Bifet

2023/10/13

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

2022/3/22

A simple but strong baseline for online continual learning: Repeated augmented rehearsal

Advances in Neural Information Processing Systems

Yaqian Zhang

Bernhard Pfahringer

Eibe Frank

Albert Bifet

Nick Jin Sean Lim

...

2022/12/6

Bandwidth-Optimal Random Shuffling for GPUs

ACM Transactions on Parallel Computing

Rory Mitchell

Daniel Stokes

Eibe Frank

Geoffrey Holmes

2022/1/31

Repeated augmented rehearsal: a simple but strong baseline for online continual learning

Yaqian Zhang

Bernhard Pfahringer

Eibe Frank

Albert Bifet

Nick Jin Sean Lim

...

2022/11/28

Sampling permutations for Shapley value estimation

Journal of Machine Learning Research

Rory Mitchell

Joshua Cooper

Eibe Frank

Geoffrey Holmes

2022

Hitting the target: Stopping active learning at the cost-based optimum

Machine Learning

Zac Pullar-Strecker

Katharina Dost

Eibe Frank

Jörg Wicker

2022/10/14

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

PeerJ Computer Science

Rory Mitchell

Eibe Frank

Geoffrey Holmes

2022

Methods for Eliciting Informative Prior Distributions: A Critical Review

Julia R Falconer

Eibe Frank

Devon LL Polaschek

Chaitanya Joshi

2022/9

Experiments in cross-domain few-shot learning for image classification

Journal of the Royal Society of New Zealand

Hongyu Wang

Henry Gouk

Huon Fraser

Eibe Frank

Bernhard Pfahringer

...

2022/4/5

Closed-loop Control for Online Continual Learning

Yaqian Zhang

Eibe Frank

Bernhard Pfahringer

Albert Bifet

Nick Jin Sean Lim

...

2021/9/29

The DFUC 2020 dataset: Analysis towards diabetic foot ulcer detection

Bill Cassidy

Neil D Reeves

Joseph M Pappachan

David Gillespie

Claire O’Shea

...

2021/4

See List of Professors in Eibe Frank University(University of Waikato)

Co-Authors

H-index: 87
Ian H. Witten

Ian H. Witten

University of Waikato

H-index: 78
Carl Gutwin

Carl Gutwin

University of Saskatchewan

H-index: 65
Mark Hall

Mark Hall

University of Waikato

H-index: 59
Geoffrey Holmes

Geoffrey Holmes

University of Waikato

H-index: 59
Bernhard Pfahringer

Bernhard Pfahringer

University of Waikato

H-index: 45
Stefan Kramer

Stefan Kramer

Johannes Gutenberg-Universität Mainz

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