Bernhard Pfahringer
University of Waikato
H-index: 59
Oceania-New Zealand
Top articles of Bernhard Pfahringer
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Adaptive Prediction Interval for Data Stream Regression | Yibin Sun Bernhard Pfahringer Heitor Murilo Gomes Albert Bifet | 2024/4/25 | |
Gradient boosted trees for evolving data streams | Machine Learning | Nuwan Gunasekara Bernhard Pfahringer Heitor Gomes Albert Bifet | 2024/3/22 |
Machine learning (in) security: A stream of problems | Digital Threats: Research and Practice | Fabrício Ceschin Marcus Botacin Albert Bifet Bernhard Pfahringer Luiz S Oliveira | 2024/3/21 |
NEWS FROM | Champion | Arthur Allen | 2010/4 |
Feature extractor stacking for cross-domain few-shot learning | Machine Learning | Hongyu Wang Eibe Frank Bernhard Pfahringer Michael Mayo Geoffrey Holmes | 2024/1 |
Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning | Hongyu Wang Eibe Frank Bernhard Pfahringer Geoffrey Holmes | 2023/11/20 | |
Machine learning for data streams: with practical examples in MOA | Albert Bifet Ricard Gavalda Geoffrey Holmes Bernhard Pfahringer | 2023/5/9 | |
teex: A toolbox for the evaluation of explanations | Neurocomputing | Jesús M Antoñanzas Yunzhe Jia Eibe Frank Albert Bifet Bernhard Pfahringer | 2023/10/28 |
Large scale K-means clustering using GPUs | Data Mining and Knowledge Discovery | Mi Li Eibe Frank Bernhard Pfahringer | 2023/1 |
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning | Anton Lee Yaqian Zhang Heitor Murilo Gomes Albert Bifet Bernhard Pfahringer | 2023/10/21 | |
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 | |
Survey on online streaming continual learning | Nuwan Gunasekara Bernhard Pfahringer Heitor Murilo Gomes Albert Bifet | 2023/8/19 | |
A regional flood impact prediction tool using machine learning to manage flood risk in real-time. A case study in New Zealand. | EGU General Assembly Conference Abstracts | Phil Mourot Nick Lim Bernhard Pfahringer Albert Bifet | 2022/5 |
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels | Vithya Yogarajan Bernhard Pfahringer Tony Smith Jacob Montiel | 2022/9/6 | |
Balancing performance and energy consumption of bagging ensembles for the classification of data streams in edge computing | IEEE Transactions on Network and Service Management | Guilherme Cassales Heitor Murilo Gomes Albert Bifet Bernhard Pfahringer Hermes Senger | 2022/12/5 |
Predicting COVID-19 Patient Shielding: A Comprehensive Study | AI 2021: Advances in Artificial Intelligence: 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings | Bernhard Pfahringer | 2022/3/18 |
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams | Data Mining and Knowledge Discovery | Yibin Sun Bernhard Pfahringer Heitor Murilo Gomes Albert Bifet | 2022/9 |
Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls | Rajchada Chanajitt Bernhard Pfahringer Heitor Murilo Gomes Vithya Yogarajan | 2022/12/3 | |
Better self-training for image classification through self-supervision | Attaullah Sahito Eibe Frank Bernhard Pfahringer | 2021 |
Co-Authors
