Bernhard Pfahringer


I'm a professor with the Computer Science Department at the University of Waikato,
and also a co-director for our new AI Institute: here is my full CV.

New(ish)

Feb 2022:
Vithya Yogarajan's PhD Thesis: Domain-specific language models for multi-label classification of medical text

Dec 2021:
Attaulauh Sahito's PhD Thesis: A study of self-training variants for semi-supervised image classification

Research
I am an experimental Machine Learning researcher.
I enjoy building ML systems, and to measure and
evaluate them on both artificial and real world data.
The goal is to gain a better understanding of
and insights into their inner workings.
This in turn supports improvements for existing algorithms,
as well as the development of genuinely novel algorithms.
For more details see my publications, software, students below.

Publications

The Moa book (“Machine Learning for Data Streams with Practical Examples in MOA”).

Open source software
Teaching 2022
Teaching 2021
Teaching 2020
Teaching 2019
Research students 2022
Name Degree Topic
Chen Zheng PhD Detecting non-obvious neuroimaging abnormalities using deep learning-based generative models
Max Mi Li PhD GPU algorithms for geometry-aware big data clustering
Rajchada Chanajitt PhD Malware prediction based on memory forensics and deep learning
Zhou Johnson Zhentao PhD Predictive Maintenance for Electricity Generators and Networks
Nuwan Gunasekara PhD Stream Mining
Hongyu Wang PhD User-friendly deep learning
Yibin Sun PhD Stream Mining
Reece Brown BCMS Honour's Deep Learning for Semantic Image Retrieval

I also collaborate with some PhD students from other universities:

Name University Topic
Alessio Bernardo Milano, Italy Mitigating class imbalance in streaming data
Fabricio Ceschin Parana, Brazil Malware detection
Saulo Martiello Mastelini São Carlos, Brazil Incremental regression trees
Pronounciaton guide
Pfahringer is reasonably close to Wharinga in Te Reo Maori, or to Fariga in Samoan.

[email protected]

Last updated: 16 June 2022