I'm a professor with the Computer Science Department at the University of Waikato:
10 June 2020:
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning
has now been published in the ML Journal.
May 2020: Covid-19 and me
1 Feb 2020: I received an Honorary Doctorate from Amity University Gurugram, India.
21 Jan 2020: "Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams"
Maroua Bahri, Bernhard Pfahringer, Albert Bifet and Silviu Maniu
has been accepted at IDA 2020.
23 Oct 2019: TAIAO: Time-Evolving Data Science / Artificial Intelligence for
Advanced Open Environmental Science will receive $13 million over 7 years.
MBIE press release
18 Sept 2019: Our "Classifier Chains for Multi-label Classification"
paper from 2009 won the Test of Time Award at this year's ECMLPKDD :-)
12 Mar 2019: I was invited to give one of the 2019 Ross Ihaka Lectures:
Open source Machine Learning @ Waikato
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.
The Moa book (“Machine Learning for Data Streams with Practical Examples in MOA”).
Open source software
Research students 2020
||Machine learning based information extraction from free-form medical text
||Detecting non-obvious neuroimaging abnormalities using deep learning-based generative models
|Max Mi Li
||GPU algorithms for geometry-aware big data clustering
||Semi-supervised Deep Learning
||Malware prediction based on memory forensics and deep learning
|Zhou Johnson Zhentao
||Predictive Maintenance for Electricity Generators and Networks
||End-to-end training of polysemous word embeddings||
I also collaborate with some PhD students from other universities:
|Alex Yuxuan Peng
||Semi-supervised deep learning
||Issues in multi-label learning
||Automated algorithm selection and configuration of stream clustering algorithms
||Mitigating class imbalance in streaming data
||Link prediction in dynamic networks
||Parallel stream learning
Pfahringer is reasonably close to Wharinga in Te Reo Maori, or to Fariga in Samoan.
Last updated: 11 Feb 2020