Bernhard Pfahringer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
96
Venues
32
Active years
1994–2026
Best venue rank
A*
Where they publish
- BPAKDD12 papers
- A*KDD11 papers
- MulticonferenceSAC7 papers
- ADIS5 papers
- BPRICAI5 papers
- A*IJCAI5 papers
- BIJCNN5 papers
- CACML5 papers
- A*ICDM4 papers
- BILP4 papers
- A*ICML3 papers
- CICANN3 papers
- BDSAA3 papers
- BIDA3 papers
- AECAI3 papers
- ACIKM2 papers
- A*ACL1 paper
- NationalQCE1 paper
- BICONIP1 paper
- BAIME1 paper
- AEACL1 paper
- BACIIDS1 paper
- CHPCC1 paper
- A*SIGIR1 paper
- NationalEPIA1 paper
- BDASFAA1 paper
- AGECCO1 paper
- CISoLA1 paper
- AUAI1 paper
- CLOPSTR1 paper
- CISMIS1 paper
- NationalKI1 paper
Papers
96 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | KDD | ARES: Anomaly Recognition Model For Edge Streams. | Simone Mungari, Albert Bifet, Giuseppe Manco, Bernhard Pfahringer |
| 2025 | ACL | Detection of Human and Machine-Authored Fake News in Urdu. | Muhammad Zain Ali, Yuxia Wang, Bernhard Pfahringer, Tony C. Smith |
| 2025 | CIKM | Dynamic Ensemble Member Selection for Data Stream Classification. | Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet |
| 2025 | DIS | Adaptive Isolation Forest. | Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet |
| 2025 | KDD | Bayesian Stream Tuner: Dynamic Hyperparameter Optimization for Real-Time Data Streams. | Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri |
| 2025 | PAKDD | Streaming Isolation Forest. | Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet |
| 2025 | PAKDD | Auto-Reg: A Dynamic AutoML Framework for Streaming Regression. | Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri |
| 2025 | PRICAI | Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning. | Yibin Sun, Nick Jin Sean Lim, Guilherme Weigert Cassales, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet, Anany Dwivedi |
| 2025 | PRICAI | AutoSAD: An Adaptive Framework for Streaming Anomaly Detection. | Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri |
| 2025 | QCE | Quantum Reupload Units: A Scalable and Expressive Approach for Time Series Learning. | La Cass, Sabarikirishwaran Ponnambalam, Bernhard Pfahringer, Albert Bifet |
| 2025 | SAC | ASML-REG: Automated Machine Learning for Data Stream Regression. | Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri |
| 2024 | ICML | Online Isolation Forest. | Filippo Leveni, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Giacomo Boracchi |
| 2024 | ICONIP | Enhanced Stance Detection Using Cascaded Siamese Networks with Attention Mechanism. | Muhammad Zain Ali, Tony C. Smith, Bernhard Pfahringer |
| 2024 | IJCAI | Recurrent Concept Drifts on Data Streams. | Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh |
| 2024 | IJCAI | Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme. | Yun Sing Koh, Albert Bifet, Karin R. Bryan, Guilherme Weigert Cassales, Olivier Graffeuille, Nick Jin Sean Lim, Phil Mourot, Ding Ning, Bernhard Pfahringer, Varvara Vetrova, Heitor Murilo Gomes |
| 2024 | PAKDD | Adaptive Prediction Interval for Data Stream Regression. | Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet |
| 2024 | PRICAI | Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis. | Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet |
| 2023 | CIKM | Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. | Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer |
| 2023 | IJCAI | Survey on Online Streaming Continual Learning. | Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet |
| 2022 | DIS | Adaptive Neural Networks for Online Domain Incremental Continual Learning. | Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer |
| 2022 | ICANN | A Comparison of Neural Network Architectures for Malware Classification Based on Noriben Operation Sequences. | Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes |
| 2022 | ICANN | Adaptive Online Domain Incremental Continual Learning. | Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer |
| 2022 | ICANN | 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 | IJCNN | Online Hyperparameter Optimization for Streaming Neural Networks. | Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet |
| 2022 | IJCNN | Alzheimer's Disease Detection via a Surrogate Brain Age Prediction Task using 3D Convolutional Neural Networks. | Chen Zheng, Bernhard Pfahringer, Michael Mayo |
| 2021 | AIME | Transformers for Multi-label Classification of Medical Text: An Empirical Comparison. | Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer |
| 2021 | DSAA | Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification. | Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes |
| 2021 | EACL | PolyLM: Learning about Polysemy through Language Modeling. | Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer |
| 2020 | ACIIDS | Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes. | Vithya Yogarajan, Henry Gouk, Tony Smith, Michael Mayo, Bernhard Pfahringer |
| 2020 | HPCC | Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching. | Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger |
| 2020 | IJCNN | On Ensemble Techniques for Data Stream Regression. | Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet |
| 2020 | IJCNN | Adaptive XGBoost for Evolving Data Streams. | Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet |
| 2020 | IDA | Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. | Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu |
| 2019 | ACML | Stochastic Gradient Trees. | Henry Gouk, Bernhard Pfahringer, Eibe Frank |
| 2019 | ACML | Investigating the effect of novel classes in semi-supervised learning. | Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer |
| 2019 | ICDM | XOR-Based Boolean Matrix Decomposition. | Jrg Wicker, Yan Cathy Hua, Rayner Rebello, Bernhard Pfahringer |
| 2019 | PAKDD | On Calibration of Nested Dichotomies. | Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes |
| 2019 | PAKDD | Ensembles of Nested Dichotomies with Multiple Subset Evaluation. | Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes |
| 2018 | SAC | Iterative subset selection for feature drifting data streams. | Lanqin Yuan, Bernhard Pfahringer, Jean Paul Barddal |
| 2017 | ACML | Probability Calibration Trees. | Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer |
| 2017 | DSAA | Learning Through Utility Optimization in Regression Tasks. | Paula Branco, Lus Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau |
| 2017 | DSAA | Dynamic and Heterogeneous Ensembles for Time Series Forecasting. | Vtor Cerqueira, Lus Torgo, Mariana Oliveira, Bernhard Pfahringer |
| 2017 | KDD | Extremely Fast Decision Tree Mining for Evolving Data Streams. | Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer |
| 2016 | ACML | Learning Distance Metrics for Multi-Label Classification. | Henry Gouk, Bernhard Pfahringer, Michael J. Cree |
| 2016 | ECAI | Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis. | Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer |
| 2015 | ICDM | Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams. | Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren |
| 2015 | IJCAI | Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets. | Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer |
| 2015 | IJCNN | Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams. | Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer |
| 2015 | KDD | Efficient Online Evaluation of Big Data Stream Classifiers. | Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer |
| 2015 | SIGIR | From Unlabelled Tweets to Twitter-specific Opinion Words. | Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer |
| 2014 | DIS | Algorithm Selection on Data Streams. | Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren |
| 2014 | ECAI | Towards Meta-learning over Data Streams. | Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren |
| 2014 | KDD | High density-focused uncertainty sampling for active learning over evolving stream data. | Dino Ienco, Indre Zliobaite, Bernhard Pfahringer |
| 2014 | PRICAI | Hierarchical Meta-Rules for Scalable Meta-Learning. | Quan Sun, Bernhard Pfahringer |
| 2014 | SAC | Change detection in categorical evolving data streams. | Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet |
| 2013 | DIS | Clustering Based Active Learning for Evolving Data Streams. | Dino Ienco, Albert Bifet, Indre Zliobaite, Bernhard Pfahringer |
| 2013 | EPIA | SMOTE for Regression. | Lus Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco |
| 2013 | ILP | A Direct Policy-Search Algorithm for Relational Reinforcement Learning. | Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith |
| 2013 | IDA | CD-MOA: Change Detection Framework for Massive Online Analysis. | Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite |
| 2013 | SAC | Efficient data stream classification via probabilistic adaptive windows. | Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes |
| 2013 | SAC | Model selection based product kernel learning for regression on graphs. | Madeleine Seeland, Stefan Kramer, Bernhard Pfahringer |
| 2012 | DASFAA | Stream Data Mining Using the MOA Framework. | Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read |
| 2012 | GECCO | Full model selection in the space of data mining operators. | Quan Sun, Bernhard Pfahringer, Michael Mayo |
| 2012 | IDA | Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. | Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes |
| 2012 | SAC | Maximum Common Subgraph based locally weighted regression. | Madeleine Seeland, Fabian Buchwald, Stefan Kramer, Bernhard Pfahringer |
| 2012 | SAC | Multi-label classification using boolean matrix decomposition. | Jrg Wicker, Bernhard Pfahringer, Stefan Kramer |
| 2011 | DIS | MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data. | Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer |
| 2011 | KDD | Mining frequent closed graphs on evolving data streams. | Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavald |
| 2011 | KDD | An effective evaluation measure for clustering on evolving data streams. | Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer |
| 2010 | ICDM | Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. | Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer |
| 2010 | PAKDD | Fast Perceptron Decision Tree Learning from Evolving Data Streams. | Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank |
| 2009 | ACML | Improving Adaptive Bagging Methods for Evolving Data Streams. | Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavald |
| 2009 | IJCAI | Relational Random Forests Based on Random Relational Rules. | Grant Anderson, Bernhard Pfahringer |
| 2009 | KDD | New ensemble methods for evolving data streams. | Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavald |
| 2008 | ICDM | Multi-label Classification Using Ensembles of Pruned Sets. | Jesse Read, Bernhard Pfahringer, Geoffrey Holmes |
| 2008 | ISoLA | Organizing the World's Machine Learning Information. | Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes |
| 2008 | PAKDD | Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning. | Grant Anderson, Bernhard Pfahringer |
| 2008 | PAKDD | Handling Numeric Attributes in Hoeffding Trees. | Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby |
| 2008 | PRICAI | Learning from the Past with Experiment Databases. | Joaquin Vanschoren, Bernhard Pfahringer, Geoffrey Holmes |
| 2007 | ILP | Clustering Relational Data Based on Randomized Propositionalization. | Grant Anderson, Bernhard Pfahringer |
| 2007 | PAKDD | Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant. | Bernhard Pfahringer, Claire Leschi, Peter Reutemann |
| 2006 | PAKDD | Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. | Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi |
| 2006 | PAKDD | Improving on Bagging with Input Smearing. | Eibe Frank, Bernhard Pfahringer |
| 2003 | UAI | Locally Weighted Naive Bayes. | Eibe Frank, Mark A. Hall, Bernhard Pfahringer |
| 2002 | LOPSTR | Tabling Structures for Bottom-Up Logic Programming. | Roger Clayton, John G. Cleary, Bernhard Pfahringer, Mark Utting |
| 2001 | PAKDD | Optimizing the Induction of Alternating Decision Trees. | Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby |
| 2000 | ECAI | Learning to Use Operational Advice. | Johannes Frnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer |
| 2000 | ICML | Meta-Learning by Landmarking Various Learning Algorithms. | Bernhard Pfahringer, Hilan Bensusan, Christophe G. Giraud-Carrier |
| 2000 | ISMIS | Prediction of Ordinal Classes Using Regression Trees. | Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve |
| 1999 | ILP | Experiments in Predicting Biodegradability. | Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer |
| 1998 | ILP | Stochastic Propositionalization of Non-determinate Background Knowledge. | Stefan Kramer, Bernhard Pfahringer, Christoph Helma |
| 1997 | KDD | Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. | Stefan Kramer, Bernhard Pfahringer, Christoph Helma |
| 1996 | KDD | Efficient Search for Strong Partial Determinations. | Stefan Kramer, Bernhard Pfahringer |
| 1995 | ICML | Compression-Based Discretization of Continuous Attributes. | Bernhard Pfahringer |
| 1995 | KDD | Compression-Based Evaluation of Partial Determinations. | Bernhard Pfahringer, Stefan Kramer |
| 1994 | KI | Robust Constructive Induction. | Bernhard Pfahringer |