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Bernhard Pfahringer

university of waikato

52H-index
313Paper Count
3.2WCitation Count
Published Papers 28
Publication Date
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Machine Learning for Data Streams with CapyMOA
errMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF0
err2026-01-01
err0
PREAI
errSun, Yibin; Gomes, Heitor Murilo; Lee, Anton; Gunasekara, Nuwan; Cassales, Guilherme Weigert; Liu, Jia Justin; Heyden, Marco; Cerqueira, Vitor; Bahri, Maroua; Koh, Yun Sing; Pfahringer, Bernhard; Bifet, Albert
errShare
errSave
SLEADE: Disagreement-Based Semi-Supervised Learning for Sparsely Labeled Evolving Data Streams
errIEEE Transactions on Knowledge and Data Engineering
IF10.4
err2025-12-23
err0
PREAI
errHeitor Murilo Gomes; Jesse Read; Maciej Grzenda; Bernhard Pfahringer; Albert Bifet
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errSave
Gradient boosted bagging for evolving data stream regression
errData Mining and Knowledge Discovery
IF4.3
err2025-08-06
err0
errOAAI
errNuwan Gunasekara; Bernhard Pfahringer; Heitor Murilo Gomes; Albert Bifet
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errSave
Linear adaptive filtering for regression in data streams
errINTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
IF2.8
err2025-05-06
err0
errOAAI
errIgual, Jorge; Gomes, Heitor Murilo; Pfahringer, Bernhard; Bifet, Albert
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errSave
A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study
errECOLOGICAL INFORMATICS
IF7.3
err2025-05-01
err0
errOAAI
errCassales, Guilherme; Salekin, Serajis; Lim, Nick; Meason, Dean; Bifet, Albert; Pfahringer, Bernhard; Frank, Eibe
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errSave
Gradient boosted trees for evolving data streams
errMACHINE LEARNING
IF2.9
err2024-03-22
err2
errOAAI
errGunasekara, Nuwan; Pfahringer, Bernhard; Gomes, Heitor; Bifet, Albert
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errSave
Feature extractor stacking for cross-domain few-shot learning
errMACHINE LEARNING
IF2.9
err2023-11-30
err0
PREAI
errWang, Hongyu; Frank, Eibe; Pfahringer, Bernhard; Mayo, Michael; Holmes, Geoffrey
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errSave
teex: A toolbox for the evaluation of explanations
errNEUROCOMPUTING
IF6.5
err2023-10-01
err0
errOAAI
errAntonanzas, Jesus M.; Jia, Yunzhe; Frank, Eibe; Bifet, Albert; Pfahringer, Bernhard
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errSave
Incremental Word Vectors for Time-Evolving Sentiment Lexicon Induction
errCOGNITIVE COMPUTATION
IF4.3
err2021-01-21
err12
PREAI
errBravo-Marquez, Felipe; Khanchandani, Arun; Pfahringer, Bernhard
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errSave
Regularisation of neural networks by enforcing Lipschitz continuity
errMACHINE LEARNING
IF2.9
err2020-12-06
err160
errOAAI
errGouk, Henry; Frank, Eibe; Pfahringer, Bernhard; Cree, Michael J.
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errSave
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning
errMACHINE LEARNING
IF2.9
err2020-06-10
err13
errOAAI
errRivolli, Adriano; Read, Jesse; Soares, Carlos; Pfahringer, Bernhard; de Carvalho, Andre C. P. L. F.
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errSave
Boosting decision stumps for dynamic feature selection on data streams
errenterprise information systems
IF3.4
err2019-07-01
err28
errOAAI
errBarddal, Jean Paul; Enembreck, Fabricio; Gomes, Heitor Murilo; Bifet, Albert; Pfahringer, Bernhard
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errSave
Adaptive random forests for evolving data stream classification (vol 106, pg 1469, 2017)
errMACHINE LEARNING
IF2.9
err2019-03-13
err12
errOAAI
errGomes, Heitor M.; Bifet, Albert; Read, Jesse; Barddal, Jean Paul; Enembreck, Fabricio; Pfahringer, Bernhard; Holmes, Geoff; Abdessalem, Talel
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errSave
Merit-guided dynamic feature selection filter for data streams
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2019-02-01
err30
PREAI
errBarddal, Jean Paul; Enembreck, Fabricio; Gomes, Heitor Murilo; Bifet, Albert; Pfahringer, Bernhard
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errSave
The online performance estimation framework: heterogeneous ensemble learning for data streams
errMACHINE LEARNING
IF2.9
err2017-12-21
err83
errOAAI
errvan Rijn, Jan N.; Holmes, Geoffrey; Pfahringer, Bernhard; Vanschoren, Joaquin
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errSave
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions
errJOURNAL OF SYSTEMS AND SOFTWARE
IF4.1
err2017-05-01
err77
errOAAI
errBarddal, Jean Paul; Gomes, Heitor Murilo; Enembreck, Fabricio; Pfahringer, Bernhard
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errSave
Building a Twitter opinion lexicon from automatically-annotated tweets
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2016-09-01
err49
errOAAI
errBravo-Marquez, Felipe; Frank, Eibe; Pfahringer, Bernhard
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errSave
Resampling strategies for regression
errEXPERT SYSTEMS
IF2.3
err2014-08-21
err112
errOAAI
errTorgo, Luis; Branco, Paula; Ribeiro, Rita P.; Pfahringer, Bernhard
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errSave
Pruning Incremental Linear Model Trees with Approximate Lookahead
errIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
IF10.4
err2014-08-01
err3
PREAI
errHapfelmeier, Andreas; Pfahringer, Bernhard; Kramer, Stefan
errShare
errSave
Evaluation methods and decision theory for classification of streaming data with temporal dependence
errMACHINE LEARNING
IF2.9
err2014-04-26
err85
errOAAI
errZliobaite, Indre; Bifet, Albert; Read, Jesse; Pfahringer, Bernhard; Holmes, Geoff
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errSave

Research Directions

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Co-authors
Cooperation Journals
E
Eibe Frank
H-index: 63 · Papers: 237
M
Michael Mayo
H-index: 61 · Papers: 246
A
André C. P. L. F. de Carvalho
H-index: 60 · Papers: 731
G
Geoffrey Holmes
H-index: 54 · Papers: 242
A
Albert Bifet
H-index: 49 · Papers: 366
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