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Eibe Frank
PeerJ Author
1,470 Points

Contributions by role

Author 235
Preprint Author 35
Editor 1,200

Contributions by subject area

Algorithms and Analysis of Algorithms
Data Mining and Machine Learning
Distributed and Parallel Computing
Artificial Intelligence
Data Science
Bioinformatics
Computational Biology
Network Science and Online Social Networks
Graphics
Visual Analytics
Security and Privacy
Computer Vision
Mobile and Ubiquitous Computing
Theory and Formal Methods
Computational Linguistics
Natural Language and Speech

Eibe Frank

PeerJ Author

Summary

Professor of Computer Science at the University of Waikato in Hamilton, New Zealand; Co-author of the WEKA machine learning software and a companion textbook on machine learning techniques for data mining; Recipient, jointly with Ian Witten and the WEKA team, of the 2005 ACM SIGKDD Service Award.

Artificial Intelligence Data Mining & Machine Learning Data Science Visual Analytics

Past or current institution affiliations

University of Waikato

Work details

Professor

University of Waikato
Department of Computer Science

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 2
  • Preprints 1
  • Edited 6
April 5, 2022
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles
Rory Mitchell, Eibe Frank, Geoffrey Holmes
https://doi.org/10.7717/peerj-cs.880
July 24, 2017
Accelerating the XGBoost algorithm using GPU computing
Rory Mitchell, Eibe Frank
https://doi.org/10.7717/peerj-cs.127
April 4, 2017 - Version: 1
Accelerating the XGBoost algorithm using GPU computing
Rory Mitchell, Eibe Frank
https://doi.org/10.7287/peerj.preprints.2911v1

Academic Editor on

April 29, 2022
CGCNImp: a causal graph convolutional network for multivariate time series imputation
Caizheng Liu, Guangfan Cui, Shenghua Liu
https://doi.org/10.7717/peerj-cs.966
December 10, 2021
A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images
Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy
https://doi.org/10.7717/peerj-cs.806
April 23, 2021
Ordinal losses for classification of cervical cancer risk
Tomé Albuquerque, Ricardo Cruz, Jaime S. Cardoso
https://doi.org/10.7717/peerj-cs.457
April 16, 2021
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
Elvio Amparore, Alan Perotti, Paolo Bajardi
https://doi.org/10.7717/peerj-cs.479
October 21, 2019
R-DECO: an open-source Matlab based graphical user interface for the detection and correction of R-peaks
Jonathan Moeyersons, Matthew Amoni, Sabine Van Huffel, Rik Willems, Carolina Varon
https://doi.org/10.7717/peerj-cs.226
October 7, 2019
Leveraging aspect phrase embeddings for cross-domain review rating prediction
Aiqi Jiang, Arkaitz Zubiaga
https://doi.org/10.7717/peerj-cs.225