Bernhard Pfahringer

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 113

Top Venues

Publications

Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
Gradient boosted trees for evolving data streams. Mach. Learn. 113 (5) (2024)
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
Feature extractor stacking for cross-domain few-shot learning. Mach. Learn. 113 (1) (2024)
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
Adaptive Prediction Interval for Data Stream Regression. PAKDD (3) (2024)
Reginaldo Luna, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Heitor Murilo Gomes, Hermes Senger
Mini-batching with Fused Training and Testing for Data Streams Processing on the Edge. CF (2024)
Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CoRR (2023)
Jesus Antonanzas, Yunzhe Jia, Eibe Frank, Albert Bifet, Bernhard Pfahringer
teex: A toolbox for the evaluation of explanations. Neurocomputing 555 (2023)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. IEEE Trans. Netw. Serv. Manag. 20 (3) (2023)
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning. CoLLAs (2023)
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
Survey on Online Streaming Continual Learning. IJCAI (2023)
Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CIKM (2023)
Mi Li, Eibe Frank, Bernhard Pfahringer
Large scale K-means clustering using GPUs. Data Min. Knowl. Discov. 37 (1) (2023)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. CoRR (2022)
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams. Data Min. Knowl. Discov. 36 (5) (2022)
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. NeurIPS (2022)
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes, Vithya Yogarajan
Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls. AI (2022)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Better Self-training for Image Classification Through Self-supervision. AI (2022)
Felipe Bravo-Marquez, Arun Khanchandani, Bernhard Pfahringer
Incremental Word Vectors for Time-Evolving Sentiment Lexicon Induction. Cogn. Comput. 14 (1) (2022)
Emanuele Pio Barracchia, Gianvito Pio, Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Michelangelo Ceci
LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Inf. Sci. 606 (2022)
Chen Zheng, Bernhard Pfahringer, Michael Mayo
Alzheimer's Disease Detection via a Surrogate Brain Age Prediction Task using 3D Convolutional Neural Networks. IJCNN (2022)
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
Predicting COVID-19 Patient Shielding: A Comprehensive Study. AI (2022)
Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes
Cross-domain Few-shot Meta-learning Using Stacking. CoRR (2022)
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes
A Comparison of Neural Network Architectures for Malware Classification Based on Noriben Operation Sequences. ICANN (1) (2022)
Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Adaptive Neural Networks for Online Domain Incremental Continual Learning. DS (2022)
Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Adaptive Online Domain Incremental Continual Learning. ICANN (1) (2022)
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. CoRR (2022)
Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
Online Hyperparameter Optimization for Streaming Neural Networks. IJCNN (2022)
Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels. ICANN (2) (2022)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Semi-Supervised Learning using Siamese Networks. CoRR (2021)
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
Classifier Chains: A Review and Perspectives. J. Artif. Intell. Res. 70 (2021)
Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents. CoRR (2021)
Yunzhe Jia, Eibe Frank, Bernhard Pfahringer, Albert Bifet, Nick Lim
Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality. ECML/PKDD (2) (2021)
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
Predicting COVID-19 Patient Shielding: A Comprehensive Study. CoRR (2021)
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes
Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification. DSAA (2021)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Improving the performance of bagging ensembles for data streams through mini-batching. Inf. Sci. 580 (2021)
Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho
Fast and lightweight binary and multi-branch Hoeffding Tree Regressors. ICDM (Workshops) (2021)
Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer
PolyLM: Learning about Polysemy through Language Modeling. CoRR (2021)
Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer
PolyLM: Learning about Polysemy through Language Modeling. EACL (2021)
Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree
Regularisation of neural networks by enforcing Lipschitz continuity. Mach. Learn. 110 (2) (2021)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification. CoRR (2021)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Better Self-training for Image Classification through Self-supervision. CoRR (2021)
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
Transformers for Multi-label Classification of Medical Text: An Empirical Comparison. AIME (2021)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Improving the performance of bagging ensembles for data streams through mini-batching. CoRR (2021)
Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. LION (2020)
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
Adaptive XGBoost for Evolving Data Streams. CoRR (2020)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Transfer of Pretrained Model Weights Substantially Improves Semi-supervised Image Classification. Australasian Conference on Artificial Intelligence (2020)
Fabricio Ceschin, Heitor Murilo Gomes, Marcus Botacin, Albert Bifet, Bernhard Pfahringer, Luiz S. Oliveira, André Grégio
Machine Learning (In) Security: A Stream of Problems. CoRR (2020)
Vithya Yogarajan, Henry Gouk, Tony Smith, Michael Mayo, Bernhard Pfahringer
Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes. ACIIDS (1) (2020)
Hongyu Wang, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo
A Comparison of Machine Learning Methods for Cross-Domain Few-Shot Learning. Australasian Conference on Artificial Intelligence (2020)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching. HPCC/DSS/SmartCity (2020)
Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle
C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams. IEEE BigData (2020)
Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet
On Ensemble Techniques for Data Stream Regression. IJCNN (2020)
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes. CoRR (2020)
Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Mach. Learn. 109 (8) (2020)
Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu
Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. IDA (2020)
Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo
A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric? Appl. Artif. Intell. 34 (3) (2020)
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
Adaptive XGBoost for Evolving Data Streams. IJCNN (2020)
Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer
An ELMo-inspired approach to SemDeep-5's Word-in-Context task. SemDeep@IJCAI (2019)
Henry Gouk, Bernhard Pfahringer, Eibe Frank
Stochastic Gradient Trees. ACML (2019)
Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer, Albert Bifet
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. IEEE BigData (2019)
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
Correction to: Adaptive random forests for evolving data stream classification. Mach. Learn. 108 (10) (2019)
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Merit-guided dynamic feature selection filter for data streams. Expert Syst. Appl. 116 (2019)
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
Classifier Chains: A Review and Perspectives. CoRR (2019)
Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo
Automatic end-to-end De-identification: Is high accuracy the only metric? CoRR (2019)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Semi-supervised Learning Using Siamese Networks. Australasian Conference on Artificial Intelligence (2019)
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer
Investigating the effect of novel classes in semi-supervised learning. ACML (2019)
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Boosting decision stumps for dynamic feature selection on data streams. Inf. Syst. 83 (2019)
Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
Towards Automated Configuration of Stream Clustering Algorithms. PKDD/ECML Workshops (1) (2019)
Henry Gouk, Bernhard Pfahringer, Eibe Frank
Stochastic Gradient Trees. CoRR (2019)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. PAKDD (1) (2019)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
On Calibration of Nested Dichotomies. PAKDD (1) (2019)
Jörg Wicker, Yan Cathy Hua, Rayner Rebello, Bernhard Pfahringer
XOR-Based Boolean Matrix Decomposition. ICDM (2019)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer, Saif M. Mohammad
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets. J. Mach. Learn. Res. 20 (2019)
Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree
Regularisation of Neural Networks by Enforcing Lipschitz Continuity. CoRR (2018)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
Transferring sentiment knowledge between words and tweets. Web Intell. 16 (4) (2018)
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer
Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems. ECML/PKDD (1) (2018)
Lanqin Yuan, Bernhard Pfahringer, Jean Paul Barddal
Iterative subset selection for feature drifting data streams. SAC (2018)
Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree
MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. ECML/PKDD (1) (2018)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
On the Calibration of Nested Dichotomies for Large Multiclass Tasks. CoRR (2018)
Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
The online performance estimation framework: heterogeneous ensemble learning for data streams. Mach. Learn. 107 (1) (2018)
Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree
MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. CoRR (2018)
Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
Probability Calibration Trees. CoRR (2018)
Edmond Zhang, Reece Robinson, Bernhard Pfahringer
Deep Holistic Representation Learning from EHR. ISMICT (2018)
Bartosz Krawczyk, Bernhard Pfahringer, Michal Wozniak
Combining active learning with concept drift detection for data stream mining. IEEE BigData (2018)
Vithya Yogarajan, Michael Mayo, Bernhard Pfahringer
A survey of automatic de-identification of longitudinal clinical narratives. CoRR (2018)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. CoRR (2018)
Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau
Learning Through Utility Optimization in Regression Tasks. DSAA (2017)
Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer
Extremely Fast Decision Tree Mining for Evolving Data Streams. KDD (2017)
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
Adaptive random forests for evolving data stream classification. Mach. Learn. 106 (9-10) (2017)
Vítor Cerqueira, Luís Torgo, Mariana Oliveira, Bernhard Pfahringer
Dynamic and Heterogeneous Ensembles for Time Series Forecasting. DSAA (2017)
Min-Hsien Weng, Bernhard Pfahringer, Mark Utting
Static techniques for reducing memory usage in the C implementation of whiley programs. ACSW (2017)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions. J. Syst. Softw. 127 (2017)
Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
Probability Calibration Trees. ACML (2017)
Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes
MEKA: A Multi-label/Multi-target Extension to WEKA. J. Mach. Learn. Res. 17 (2016)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet
On Dynamic Feature Weighting for Feature Drifting Data Streams. ECML/PKDD (2) (2016)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
From Opinion Lexicons to Sentiment Classification of Tweets and Vice Versa: A Transfer Learning Approach. WI (2016)
Tim Leathart, Bernhard Pfahringer, Eibe Frank
Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection. CoRR (2016)
Tim Leathart, Bernhard Pfahringer, Eibe Frank
Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection. ECML/PKDD (2) (2016)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
Building a Twitter opinion lexicon from automatically-annotated tweets. Knowl. Based Syst. 108 (2016)
Min-Hsien Weng, Mark Utting, Bernhard Pfahringer
Bound Analysis for Whiley Programs. Electron. Notes Theor. Comput. Sci. 320 (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bernhard Pfahringer