Bernhard Pfahringer
Orcid: 0000-0002-3732-5787
According to our database1,
Bernhard Pfahringer
authored at least 195 papers
between 1985 and 2024.
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Bibliography
2024
Mach. Learn., January, 2024
2023
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing.
IEEE Trans. Netw. Serv. Manag., September, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2023
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Inf. Sci., 2022
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams.
Data Min. Knowl. Discov., 2022
Cogn. Comput., 2022
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Alzheimer's Disease Detection via a Surrogate Brain Age Prediction Task using 3D Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
A Comparison of Neural Network Architectures for Malware Classification Based on Noriben Operation Sequences.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract.
Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
2021
Mach. Learn., 2021
Improving the performance of bagging ensembles for data streams through mini-batching.
Inf. Sci., 2021
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents.
CoRR, 2021
Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
Transformers for Multi-label Classification of Medical Text: An Empirical Comparison.
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning.
Mach. Learn., 2020
Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes.
CoRR, 2020
A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric?
Appl. Artif. Intell., 2020
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
Transfer of Pretrained Model Weights Substantially Improves Semi-supervised Image Classification.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
2019
Mach. Learn., 2019
J. Mach. Learn. Res., 2019
Inf. Syst., 2019
Expert Syst. Appl., 2019
Proceedings of the 5th Workshop on Semantic Deep Learning, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
2018
The online performance estimation framework: heterogeneous ensemble learning for data streams.
Mach. Learn., 2018
CoRR, 2018
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 12th International Symposium on Medical Information and Communication Technology, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions.
J. Syst. Softw., 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
Static techniques for reducing memory usage in the C implementation of whiley programs.
Proceedings of the Australasian Computer Science Week Multiconference, 2017
Proceedings of The 9th Asian Conference on Machine Learning, 2017
2016
Knowl. Based Syst., 2016
From Opinion Lexicons to Sentiment Classification of Tweets and Vice Versa: A Transfer Learning Approach.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
Proceedings of The 8th Asian Conference on Machine Learning, 2016
2015
Evaluation methods and decision theory for classification of streaming data with temporal dependence.
Mach. Learn., 2015
Proceedings of the 1st Workshop on Uses of Symbolic Execution, 2015
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
IEEE Trans. Knowl. Data Eng., 2014
Proceedings of the Symposium on Applied Computing, 2014
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014
High density-focused uncertainty sampling for active learning over evolving stream data.
Proceedings of the 3rd International Workshop on Big Data, 2014
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014
Proceedings of the Discovery Science - 17th International Conference, 2014
2013
Mach. Learn., 2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013
Proceedings of the Inductive Logic Programming - 23rd International Conference, 2013
Proceedings of the Advances in Intelligent Data Analysis XII, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
Proceedings of the Workshop on Machine Learning for Sensory Data Analysis, 2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
Mach. Learn., 2012
Mach. Learn., 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Database Systems for Advanced Applications, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
2011
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the Discovery Science - 14th International Conference, 2011
Using the online cross-entropy method to learn relational policies for playing different games.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
2010
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA.
Proceedings of the ICDMW 2010, 2010
2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the IJCAI 2009, 2009
The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
Proceedings of the Advances in Machine Learning, 2009
2008
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Proceedings of the Leveraging Applications of Formal Methods, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008
2007
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
2006
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams.
Proceedings of the 4th International Conference on IT in Asia, 2005
WEKA - A Machine Learning Workbench for Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
2004
A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004
2003
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003
Proceedings of the Machine Learning: ECML 2003, 2003
2002
Proceedings of the Logic Based Program Synthesis and Tranformation, 2002
Proceedings of the Machine Learning: ECML 2002, 2002
2001
Proceedings of the Knowledge Discovery and Data Mining, 2001
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001
2000
Searching for Patterns in Political Event Sequences: Experiments with the Keds Database.
Cybern. Syst., 2000
Meta-Learning by Landmarking Various Learning Algorithms.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Learning to Use Operational Advice.
Proceedings of the ECAI 2000, 2000
1998
Appl. Artif. Intell., 1998
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998
1997
Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997
Proceedings of the Machine Learning: ECML-97, 1997
1996
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996
1995
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995
Proceedings of the Machine Learning, 1995
Proceedings of the Machine Learning: ECML-95, 1995
1994
Proceedings of the KI-94: Advances in Artificial Intelligence, 1994
Proceedings of the Machine Learning: ECML-94, 1994
1992
The Logical Way to Build a DL-based KR System.
Proceedings of the Issues in Description Logics: Users Meet Developers, 1992
1991
Proceedings of the Proc. 7th Austrian Conference on Artificial Intelligence, 1991
1989
Proceedings of the 5. Österreichische Artificial Intelligence-Tagung, 1989
1988
Appl. Artif. Intell., 1988
1985
Proceedings of the Österreichische Artificial Intelligence-Tagung, 1985