Bernhard Pfahringer

265 papers A* 21A 6B 33C 9Misc 12Journal 87Unranked 83

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	ARES: Anomaly Recognition Model For Edge Streams. KDD (1) Simone Mungari, Albert Bifet, Giuseppe Manco, Bernhard Pfahringer
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part I ECML/PKDD (1) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II ECML/PKDD (2) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III ECML/PKDD (3) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV ECML/PKDD (4) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V ECML/PKDD (5) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI ECML/PKDD (6) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII ECML/PKDD (7) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII ECML/PKDD (8) Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	J	`jnl`	Policy Gradient with Adaptive Entropy Annealing for Continual Fine-Tuning. CoRR Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet
2026	J	`jnl`	SLEADE: Disagreement-Based Semi-Supervised Learning for Sparsely Labeled Evolving Data Streams. IEEE Trans. Knowl. Data Eng. Heitor Murilo Gomes, Jesse Read, Maciej Grzenda, Bernhard Pfahringer, Albert Bifet
2025	J	`jnl`	A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study. Ecol. Informatics Guilherme Weigert Cassales, Serajis Salekin, Nick Jin Sean Lim, Dean F. Meason, Albert Bifet, Bernhard Pfahringer, Eibe Frank
2025	J	`jnl`	ARES: Anomaly Recognition Model For Edge Streams. CoRR Simone Mungari, Albert Bifet, Giuseppe Manco, Bernhard Pfahringer
2025	Misc	`conf`	ASML-REG: Automated Machine Learning for Data Stream Regression. SAC Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri
2025	B	`conf`	Adaptive Isolation Forest. DS Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet
2025	J	`jnl`	Ai-enabled automated common vulnerability scoring from common vulnerabilities and exposures descriptions. Int. J. Inf. Sec. Zijing Zhang, Vimal Kumar, Bernhard Pfahringer, Albert Bifet
2025	—	`conf`	Auto-Reg: A Dynamic AutoML Framework for Streaming Regression. PAKDD (4) Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri
2025	—	`conf`	Bayesian Stream Tuner: Dynamic Hyperparameter Optimization for Real-Time Data Streams. KDD (2) Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri
2025	J	`jnl`	CapyMOA: Efficient Machine Learning for Data Streams in Python. CoRR Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Yibin Sun, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, Albert Bifet
2025	J	`jnl`	Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning. CoRR Yibin Sun, Nick Jin Sean Lim, Guilherme Weigert Cassales, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet, Anany Dwivedi
2025	—	`conf`	Detection of Human and Machine-Authored Fake News in Urdu. ACL (1) Muhammad Zain Ali, Yuxia Wang, Bernhard Pfahringer, Tony C. Smith
2025	A	`conf`	Dynamic Ensemble Member Selection for Data Stream Classification. CIKM Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2025	J	`jnl`	Evaluation for Regression Analyses on Evolving Data Streams. CoRR Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2025	J	`jnl`	Fake News Classification in Urdu: A Domain Adaptation Approach for a Low-Resource Language. CoRR Muhammad Zain Ali, Bernhard Pfahringer, Tony C. Smith
2025	J	`jnl`	Gradient boosted bagging for evolving data stream regression. Data Min. Knowl. Discov. Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2025	J	`jnl`	Linear adaptive filtering for regression in data streams. Int. J. Data Sci. Anal. Jorge Igual, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2025	—	`conf`	Machine Learning for Data Streams with CapyMOA. ECML/PKDD (10) Yibin Sun, Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, Albert Bifet
2025	J	`jnl`	Online Isolation Forest. CoRR Filippo Leveni, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Giacomo Boracchi
2025	J	`jnl`	Pruning Feature Extractor Stacking for Cross-domain Few-shot Learning. Trans. Mach. Learn. Res. Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoff Holmes
2025	J	`jnl`	Rethinking Memory in Continual Learning: Beyond a Monolithic Store of the Past. Trans. Mach. Learn. Res. Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet
2025	—	`conf`	Streaming Isolation Forest. PAKDD (1) Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet
2024	—	`conf`	ASML: A Scalable and Efficient AutoML Solution for Data Streams. AutoML Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri
2024	—	`conf`	Adaptive Prediction Interval for Data Stream Regression. PAKDD (3) Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2024	J	`jnl`	Detection of Human and Machine-Authored Fake News in Urdu. CoRR Muhammad Zain Ali, Yuxia Wang, Bernhard Pfahringer, Tony C. Smith
2024	—	`conf`	Enhanced Stance Detection Using Cascaded Siamese Networks with Attention Mechanism. ICONIP (9) Muhammad Zain Ali, Tony C. Smith, Bernhard Pfahringer
2024	J	`jnl`	Feature extractor stacking for cross-domain few-shot learning. Mach. Learn. Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
2024	J	`jnl`	Gradient boosted trees for evolving data streams. Mach. Learn. Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2024	—	`conf`	Leveraging Plasticity in Incremental Decision Trees. ECML/PKDD (5) Marco Heyden, Heitor Murilo Gomes, Edouard Fouché, Bernhard Pfahringer, Klemens Böhm
2024	J	`jnl`	Machine Learning (In) Security: A Stream of Problems. DTRAP Fabrício Ceschin, Marcus Botacin, Albert Bifet, Bernhard Pfahringer, Luiz S. Oliveira, Heitor Murilo Gomes, André Grégio
2024	—	`conf`	Mini-batching with Fused Training and Testing for Data Streams Processing on the Edge. CF Reginaldo Luna, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Heitor Murilo Gomes, Hermes Senger
2024	A*	`conf`	Online Isolation Forest. ICML Filippo Leveni, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Giacomo Boracchi
2024	J	`jnl`	Optimizing Hyperparameters for Quantum Data Re-Uploaders in Calorimetric Particle Identification. CoRR Léa Cassé, Bernhard Pfahringer, Albert Bifet, Frédéric Magniette
2024	—	`conf`	Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis. PRICAI (5) Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2024	J	`jnl`	Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis. CoRR Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2024	A*	`conf`	Recurrent Concept Drifts on Data Streams. IJCAI Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh
2024	A*	`conf`	Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme. IJCAI 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
2023	J	`jnl`	Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. IEEE Trans. Netw. Serv. Manag. Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
2023	J	`jnl`	Large scale K-means clustering using GPUs. Data Min. Knowl. Discov. Mi Li, Eibe Frank, Bernhard Pfahringer
2023	A	`conf`	Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CIKM Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2023	J	`jnl`	Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CoRR Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2023	—	`conf`	Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning. CoLLAs Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2023	A*	`conf`	Survey on Online Streaming Continual Learning. IJCAI Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2023	J	`jnl`	teex: A toolbox for the evaluation of explanations. Neurocomputing Jesus Antonanzas, Yunzhe Jia, Eibe Frank, Albert Bifet, Bernhard Pfahringer
2022	—	`conf`	A Comparison of Neural Network Architectures for Malware Classification Based on Noriben Operation Sequences. ICANN (1) Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes
2022	A*	`conf`	A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. NeurIPS Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia
2022	J	`jnl`	A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. CoRR Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia
2022	B	`conf`	Adaptive Neural Networks for Online Domain Incremental Continual Learning. DS Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2022	—	`conf`	Adaptive Online Domain Incremental Continual Learning. ICANN (1) Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2022	B	`conf`	Alzheimer's Disease Detection via a Surrogate Brain Age Prediction Task using 3D Convolutional Neural Networks. IJCNN Chen Zheng, Bernhard Pfahringer, Michael Mayo
2022	J	`jnl`	Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. CoRR Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
2022	Misc	`conf`	Better Self-training for Image Classification Through Self-supervision. AI Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
2022	—	`conf`	Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels. ICANN (2) Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel
2022	J	`jnl`	Cross-domain Few-shot Meta-learning Using Stacking. CoRR Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes
2022	—	`conf`	Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
2022	J	`jnl`	Incremental Word Vectors for Time-Evolving Sentiment Lexicon Induction. Cogn. Comput. Felipe Bravo-Marquez, Arun Khanchandani, Bernhard Pfahringer
2022	J	`jnl`	LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Inf. Sci. Emanuele Pio Barracchia, Gianvito Pio, Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Michelangelo Ceci
2022	Misc	`conf`	Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls. AI Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes, Vithya Yogarajan
2022	B	`conf`	Online Hyperparameter Optimization for Streaming Neural Networks. IJCNN Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2022	Misc	`conf`	Predicting COVID-19 Patient Shielding: A Comprehensive Study. AI Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2022	J	`jnl`	SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams. Data Min. Knowl. Discov. Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2021	J	`jnl`	Better Self-training for Image Classification through Self-supervision. CoRR Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
2021	J	`jnl`	Classifier Chains: A Review and Perspectives. J. Artif. Intell. Res. Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
2021	B	`conf`	Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification. DSAA Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes
2021	—	`conf`	Fast and lightweight binary and multi-branch Hoeffding Tree Regressors. ICDM (Workshops) Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho
2021	J	`jnl`	Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents. CoRR Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel
2021	J	`jnl`	Improving the performance of bagging ensembles for data streams through mini-batching. CoRR Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
2021	J	`jnl`	Improving the performance of bagging ensembles for data streams through mini-batching. Inf. Sci. Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
2021	A	`conf`	PolyLM: Learning about Polysemy through Language Modeling. EACL Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer
2021	J	`jnl`	PolyLM: Learning about Polysemy through Language Modeling. CoRR Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer
2021	J	`jnl`	Predicting COVID-19 Patient Shielding: A Comprehensive Study. CoRR Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2021	J	`jnl`	Regularisation of neural networks by enforcing Lipschitz continuity. Mach. Learn. Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree
2021	J	`jnl`	Semi-Supervised Learning using Siamese Networks. CoRR Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
2021	—	`conf`	Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality. ECML/PKDD (2) Yunzhe Jia, Eibe Frank, Bernhard Pfahringer, Albert Bifet, Nick Jin Sean Lim
2021	J	`jnl`	Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification. CoRR Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
2021	B	`conf`	Transformers for Multi-label Classification of Medical Text: An Empirical Comparison. AIME Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2020	—	`conf`	A Comparison of Machine Learning Methods for Cross-Domain Few-Shot Learning. Australasian Conference on Artificial Intelligence Hongyu Wang, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo
2020	J	`jnl`	A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric? Appl. Artif. Intell. Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo
2020	B	`conf`	Adaptive XGBoost for Evolving Data Streams. IJCNN Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
2020	J	`jnl`	Adaptive XGBoost for Evolving Data Streams. CoRR Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
2020	J	`jnl`	An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Mach. Learn. Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho
2020	—	`conf`	C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams. IEEE BigData Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle
2020	—	`conf`	Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes. ACIIDS (1) Vithya Yogarajan, Henry Gouk, Tony Smith, Michael Mayo, Bernhard Pfahringer
2020	B	`conf`	Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. IDA Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu
2020	—	`conf`	Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching. HPCC/DSS/SmartCity Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
2020	J	`jnl`	Machine Learning (In) Security: A Stream of Problems. CoRR Fabricio Ceschin, Heitor Murilo Gomes, Marcus Botacin, Albert Bifet, Bernhard Pfahringer, Luiz S. Oliveira, André Grégio
2020	B	`conf`	On Ensemble Techniques for Data Stream Regression. IJCNN Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet
2020	J	`jnl`	Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes. CoRR Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2020	—	`conf`	Transfer of Pretrained Model Weights Substantially Improves Semi-supervised Image Classification. Australasian Conference on Artificial Intelligence Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
2020	—	`conf`	confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. LION Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
2019	J	`jnl`	AffectiveTweets: a Weka Package for Analyzing Affect in Tweets. J. Mach. Learn. Res. Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer, Saif M. Mohammad
2019	—	`conf`	An ELMo-inspired approach to SemDeep-5's Word-in-Context task. SemDeep@IJCAI Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer
2019	J	`jnl`	Automatic end-to-end De-identification: Is high accuracy the only metric? CoRR Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo
2019	J	`jnl`	Boosting decision stumps for dynamic feature selection on data streams. Inf. Syst. Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2019	J	`jnl`	Classifier Chains: A Review and Perspectives. CoRR Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
2019	J	`jnl`	Correction to: Adaptive random forests for evolving data stream classification. Mach. Learn. Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
2019	—	`conf`	Ensembles of Nested Dichotomies with Multiple Subset Evaluation. PAKDD (1) Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2019	—	`conf`	Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. IEEE BigData Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer, Albert Bifet
2019	C	`conf`	Investigating the effect of novel classes in semi-supervised learning. ACML Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer
2019	J	`jnl`	Merit-guided dynamic feature selection filter for data streams. Expert Syst. Appl. Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2019	—	`conf`	On Calibration of Nested Dichotomies. PAKDD (1) Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2019	—	`conf`	Semi-supervised Learning Using Siamese Networks. Australasian Conference on Artificial Intelligence Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
2019	C	`conf`	Stochastic Gradient Trees. ACML Henry Gouk, Bernhard Pfahringer, Eibe Frank
2019	J	`jnl`	Stochastic Gradient Trees. CoRR Henry Gouk, Bernhard Pfahringer, Eibe Frank
2019	—	`conf`	Towards Automated Configuration of Stream Clustering Algorithms. PKDD/ECML Workshops (1) Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
2019	A*	`conf`	XOR-Based Boolean Matrix Decomposition. ICDM Jörg Wicker, Yan Cathy Hua, Rayner Rebello, Bernhard Pfahringer
2018	J	`jnl`	A survey of automatic de-identification of longitudinal clinical narratives. CoRR Vithya Yogarajan, Michael Mayo, Bernhard Pfahringer
2018	—	`conf`	Combining active learning with concept drift detection for data stream mining. IEEE BigData Bartosz Krawczyk, Bernhard Pfahringer, Michal Wozniak
2018	—	`conf`	Deep Holistic Representation Learning from EHR. ISMICT Edmond Zhang, Reece Robinson, Bernhard Pfahringer
2018	J	`jnl`	Ensembles of Nested Dichotomies with Multiple Subset Evaluation. CoRR Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2018	Misc	`conf`	Iterative subset selection for feature drifting data streams. SAC Lanqin Yuan, Bernhard Pfahringer, Jean Paul Barddal
2018	—	`conf`	MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. ECML/PKDD (1) Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree
2018	J	`jnl`	MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. CoRR Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree
2018	J	`jnl`	On the Calibration of Nested Dichotomies for Large Multiclass Tasks. CoRR Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2018	J	`jnl`	Probability Calibration Trees. CoRR Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
2018	J	`jnl`	Regularisation of Neural Networks by Enforcing Lipschitz Continuity. CoRR Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree
2018	J	`jnl`	The online performance estimation framework: heterogeneous ensemble learning for data streams. Mach. Learn. Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
2018	J	`jnl`	Transferring sentiment knowledge between words and tweets. Web Intell. Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
2018	—	`conf`	Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems. ECML/PKDD (1) Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer
2017	J	`jnl`	A survey on feature drift adaptation: Definition, benchmark, challenges and future directions. J. Syst. Softw. Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer
2017	J	`jnl`	Adaptive random forests for evolving data stream classification. Mach. Learn. Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
2017	—	`ch.`	Conjunctive Normal Form. Encyclopedia of Machine Learning and Data Mining Bernhard Pfahringer
2017	—	`ch.`	Disjunctive Normal Form. Encyclopedia of Machine Learning and Data Mining Bernhard Pfahringer
2017	B	`conf`	Dynamic and Heterogeneous Ensembles for Time Series Forecasting. DSAA Vítor Cerqueira, Luís Torgo, Mariana Oliveira, Bernhard Pfahringer
2017	A*	`conf`	Extremely Fast Decision Tree Mining for Evolving Data Streams. KDD Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer
2017	B	`conf`	Learning Through Utility Optimization in Regression Tasks. DSAA Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau
2017	C	`conf`	Probability Calibration Trees. ACML Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
2017	—	`conf`	Static techniques for reducing memory usage in the C implementation of whiley programs. ACSW Min-Hsien Weng, Bernhard Pfahringer, Mark Utting
2016	A	`conf`	Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis. ECAI Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
2016	—	`conf`	Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection. ECML/PKDD (2) Tim Leathart, Bernhard Pfahringer, Eibe Frank
2016	J	`jnl`	Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection. CoRR Tim Leathart, Bernhard Pfahringer, Eibe Frank
2016	J	`jnl`	Building a Twitter opinion lexicon from automatically-annotated tweets. Knowl. Based Syst. Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
2016	B	`conf`	Determining Word-Emotion Associations from Tweets by Multi-label Classification. WI Felipe Bravo-Marquez, Eibe Frank, Saif M. Mohammad, Bernhard Pfahringer
2016	B	`conf`	From Opinion Lexicons to Sentiment Classification of Tweets and Vice Versa: A Transfer Learning Approach. WI Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
2016	C	`conf`	Learning Distance Metrics for Multi-Label Classification. ACML Henry Gouk, Bernhard Pfahringer, Michael J. Cree
2016	J	`jnl`	MEKA: A Multi-label/Multi-target Extension to WEKA. J. Mach. Learn. Res. Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes
2016	—	`conf`	On Dynamic Feature Weighting for Feature Drifting Data Streams. ECML/PKDD (2) Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet
2015	—	`ed.`	AI 2015: Advances in Artificial Intelligence - 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 - December 4, 2015, Proceedings Australasian Conference on Artificial Intelligence Bernhard Pfahringer, Jochen Renz
2015	—	`conf`	Bound Analysis for Whiley Programs. USE@FM Min-Hsien Weng, Mark Utting, Bernhard Pfahringer
2015	A*	`conf`	Efficient Online Evaluation of Big Data Stream Classifiers. KDD Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer
2015	J	`jnl`	Evaluation methods and decision theory for classification of streaming data with temporal dependence. Mach. Learn. Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes
2015	A*	`conf`	From Unlabelled Tweets to Twitter-specific Opinion Words. SIGIR Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
2015	A*	`conf`	Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams. ICDM Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
2015	J	`jnl`	Learning Similarity Metrics by Factorising Adjacency Matrices. CoRR Henry Gouk, Bernhard Pfahringer, Michael J. Cree
2015	—	`conf`	On a Few Recent Developments in Meta-Learning for Algorithm Ranking and Selection. MetaSel@PKDD/ECML Bernhard Pfahringer
2015	A*	`conf`	Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets. IJCAI Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
2015	J	`jnl`	Resampling strategies for regression. Expert Syst. J. Knowl. Eng. Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer
2015	J	`jnl`	Use of Ensembles of Fourier Spectra in Capturing Recurrent Concepts in Data Streams. CoRR Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer
2015	B	`conf`	Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams. IJCNN Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer
2014	J	`jnl`	Active Learning With Drifting Streaming Data. IEEE Trans. Neural Networks Learn. Syst. Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes
2014	B	`conf`	Algorithm Selection on Data Streams. Discovery Science Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
2014	Misc	`conf`	Change detection in categorical evolving data streams. SAC Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet
2014	—	`conf`	Détection de changements dans des flots de données qualitatives. EGC Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet
2014	B	`conf`	Hierarchical Meta-Rules for Scalable Meta-Learning. PRICAI Quan Sun, Bernhard Pfahringer
2014	—	`conf`	High density-focused uncertainty sampling for active learning over evolving stream data. BigMine Dino Ienco, Indre Zliobaite, Bernhard Pfahringer
2014	J	`jnl`	Pruning Incremental Linear Model Trees with Approximate Lookahead. IEEE Trans. Knowl. Data Eng. Andreas Hapfelmeier, Bernhard Pfahringer, Stefan Kramer
2014	—	`conf`	Towards Meta-learning over Data Streams. MetaSel@ECAI Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
2013	B	`conf`	A Direct Policy-Search Algorithm for Relational Reinforcement Learning. ILP Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith
2013	B	`conf`	CD-MOA: Change Detection Framework for Massive Online Analysis. IDA Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite
2013	B	`conf`	Clustering Based Active Learning for Evolving Data Streams. Discovery Science Dino Ienco, Albert Bifet, Indre Zliobaite, Bernhard Pfahringer
2013	Misc	`conf`	Efficient data stream classification via probabilistic adaptive windows. SAC Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes
2013	Misc	`conf`	Model selection based product kernel learning for regression on graphs. SAC Madeleine Seeland, Stefan Kramer, Bernhard Pfahringer
2013	J	`jnl`	Pairwise meta-rules for better meta-learning-based algorithm ranking. Mach. Learn. Quan Sun, Bernhard Pfahringer
2013	—	`conf`	Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them. ECML/PKDD (1) Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes
2013	—	`conf`	Propositionalisation of Multi-instance Data Using Random Forests. Australasian Conference on Artificial Intelligence Eibe Frank, Bernhard Pfahringer
2013	Misc	`conf`	SMOTE for Regression. EPIA Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco
2013	—	`conf`	The MOA Data Stream Mining Tool: A Mid-Term Report. MLSDA@AUS-AI Bernhard Pfahringer
2013	—	`conf`	Towards a Framework for Designing Full Model Selection and Optimization Systems. MCS Quan Sun, Bernhard Pfahringer, Michael Mayo
2012	—	`conf`	Bagging Ensemble Selection for Regression. Australasian Conference on Artificial Intelligence Quan Sun, Bernhard Pfahringer
2012	B	`conf`	Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. IDA Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes
2012	J	`jnl`	Ensembles of Restricted Hoeffding Trees. ACM Trans. Intell. Syst. Technol. Albert Bifet, Eibe Frank, Geoff Holmes, Bernhard Pfahringer
2012	J	`jnl`	Experiment databases - A new way to share, organize and learn from experiments. Mach. Learn. Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes
2012	—	`conf`	Full model selection in the space of data mining operators. GECCO (Companion) Quan Sun, Bernhard Pfahringer, Michael Mayo
2012	J	`jnl`	Locally Weighted Naive Bayes CoRR Eibe Frank, Mark Hall, Bernhard Pfahringer
2012	Misc	`conf`	Maximum Common Subgraph based locally weighted regression. SAC Madeleine Seeland, Fabian Buchwald, Stefan Kramer, Bernhard Pfahringer
2012	Misc	`conf`	Multi-label classification using boolean matrix decomposition. SAC Jörg Wicker, Bernhard Pfahringer, Stefan Kramer
2012	J	`jnl`	Scalable and efficient multi-label classification for evolving data streams. Mach. Learn. Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2012	—	`conf`	Stream Data Mining Using the MOA Framework. DASFAA (2) Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read
2011	—	`conf`	Active Learning with Evolving Streaming Data. ECML/PKDD (3) Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes
2011	A*	`conf`	An effective evaluation measure for clustering on evolving data streams. KDD Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2011	—	`conf`	Bagging Ensemble Selection. Australasian Conference on Artificial Intelligence Quan Sun, Bernhard Pfahringer
2011	J	`jnl`	Classifier chains for multi-label classification. Mach. Learn. Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
2011	—	`conf`	Detecting Sentiment Change in Twitter Streaming Data. WAPA Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà
2011	—	`conf`	MOA Concept Drift Active Learning Strategies for Streaming Data. WAPA Indre Zliobaite, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2011	B	`conf`	MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data. Discovery Science Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer
2011	—	`conf`	MOA: A Real-Time Analytics Open Source Framework. ECML/PKDD (3) Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl
2011	A*	`conf`	Mining frequent closed graphs on evolving data streams. KDD Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà
2011	—	`conf`	Semi-random Model Tree Ensembles: An Effective and Scalable Regression Method. Australasian Conference on Artificial Intelligence Bernhard Pfahringer
2011	—	`conf`	Streaming Multi-label Classification. WAPA Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2011	—	`conf`	Using the online cross-entropy method to learn relational policies for playing different games. CIG Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith
2010	C	`conf`	Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. ACML Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
2010	—	`conf`	Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. ICDM Workshops Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2010	—	`ch.`	Conjunctive Normal Form. Encyclopedia of Machine Learning Bernhard Pfahringer
2010	B	`ed.`	Discovery Science - 13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010. Proceedings Discovery Science Bernhard Pfahringer, Geoffrey Holmes, Achim G. Hoffmann
2010	—	`conf`	Fast Perceptron Decision Tree Learning from Evolving Data Streams. PAKDD (2) Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank
2010	—	`conf`	Leveraging Bagging for Evolving Data Streams. ECML/PKDD (1) Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer
2010	—	`conf`	MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. WAPA Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl
2010	J	`jnl`	MOA: Massive Online Analysis. J. Mach. Learn. Res. Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer
2010	J	`jnl`	WEKA - Experiences with a Java Open-Source Project. J. Mach. Learn. Res. Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
2010	—	`ch.`	Weka-A Machine Learning Workbench for Data Mining. Data Mining and Knowledge Discovery Handbook Eibe Frank, Mark Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg
2009	—	`conf`	Classifier Chains for Multi-label Classification. ECML/PKDD (2) Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank
2009	C	`conf`	Improving Adaptive Bagging Methods for Evolving Data Streams. ACML Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà
2009	A*	`conf`	New ensemble methods for evolving data streams. KDD Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà
2009	A*	`conf`	Relational Random Forests Based on Random Relational Rules. IJCAI Grant Anderson, Bernhard Pfahringer
2009	—	`conf`	The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification. Australasian Conference on Artificial Intelligence Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes
2009	J	`jnl`	The WEKA data mining software: an update. SIGKDD Explor. Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
2008	B	`conf`	Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning. PAKDD Grant Anderson, Bernhard Pfahringer
2008	B	`conf`	Handling Numeric Attributes in Hoeffding Trees. PAKDD Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
2008	B	`conf`	Learning from the Past with Experiment Databases. PRICAI Joaquin Vanschoren, Bernhard Pfahringer, Geoffrey Holmes
2008	—	`conf`	Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search. Australasian Conference on Artificial Intelligence Xing Wu, Geoffrey Holmes, Bernhard Pfahringer
2008	A*	`conf`	Multi-label Classification Using Ensembles of Pruned Sets. ICDM Jesse Read, Bernhard Pfahringer, Geoffrey Holmes
2008	C	`conf`	Organizing the World's Machine Learning Information. ISoLA Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes
2008	—	`conf`	Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis. Australasian Conference on Artificial Intelligence Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes
2007	B	`conf`	Clustering Relational Data Based on Randomized Propositionalization. ILP Grant Anderson, Bernhard Pfahringer
2007	—	`conf`	New Options for Hoeffding Trees. Australian Conference on Artificial Intelligence Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
2007	B	`conf`	Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant. PAKDD Bernhard Pfahringer, Claire Leschi, Peter Reutemann
2006	B	`conf`	Improving on Bagging with Input Smearing. PAKDD Eibe Frank, Bernhard Pfahringer
2006	B	`conf`	Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. PAKDD Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi
2005	—	`conf`	Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams. CITA Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby
2005	B	`ed.`	Inductive Logic Programming, 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings ILP Stefan Kramer, Bernhard Pfahringer
2005	—	`conf`	Stress-Testing Hoeffding Trees. PKDD Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer
2005	—	`ch.`	WEKA - A Machine Learning Workbench for Data Mining. The Data Mining and Knowledge Discovery Handbook Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer
2004	—	`conf`	A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners. Australian Conference on Artificial Intelligence Peter Reutemann, Bernhard Pfahringer, Eibe Frank
2004	—	`conf`	Clustering Large Datasets Using Cobweb and K-Means in Tandem. Australian Conference on Artificial Intelligence Mi Li, Geoffrey Holmes, Bernhard Pfahringer
2004	J	`jnl`	Experiments In Predicting Biodegradability. Appl. Artif. Intell. Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
2004	—	`conf`	Multinomial Naive Bayes for Text Categorization Revisited. Australian Conference on Artificial Intelligence Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
2004	J	`jnl`	The Weka solution to the 2004 KDD Cup. SIGKDD Explor. Bernhard Pfahringer
2003	—	`conf`	A Two-Level Learning Method for Generalized Multi-instance Problems. ECML Nils B. Weidmann, Eibe Frank, Bernhard Pfahringer
2003	A	`conf`	Locally Weighted Naive Bayes. UAI Eibe Frank, Mark A. Hall, Bernhard Pfahringer
2003	—	`conf`	Text Categorisation Using Document Profiling. PKDD Maximilien Sauban, Bernhard Pfahringer
2002	—	`conf`	Multiclass Alternating Decision Trees. ECML Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall
2002	C	`conf`	Tabling Structures for Bottom-Up Logic Programming. LOPSTR Roger Clayton, John G. Cleary, Bernhard Pfahringer, Mark Utting
2001	B	`conf`	Optimizing the Induction of Alternating Decision Trees. PAKDD Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
2001	J	`jnl`	Prediction of Ordinal Classes Using Regression Trees. Fundam. Informaticae Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve
2001	—	`conf`	Wrapping Boosters against Noise. Australian Joint Conference on Artificial Intelligence Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidberger
2000	A	`conf`	Learning to Use Operational Advice. ECAI Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer
2000	A*	`conf`	Meta-Learning by Landmarking Various Learning Algorithms. ICML Bernhard Pfahringer, Hilan Bensusan, Christophe G. Giraud-Carrier
2000	C	`conf`	Prediction of Ordinal Classes Using Regression Trees. ISMIS Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve
2000	J	`jnl`	Searching for Patterns in Political Event Sequences: Experiments with the Keds Database. Cybern. Syst. Klaus Kovar, Johannes Fürnkranz, Johann Petrak, Bernhard Pfahringer, Robert Trappl, Gerhard Widmer
2000	J	`jnl`	Winning the KDD99 Classification Cup: Bagged Boosting. SIGKDD Explor. Bernhard Pfahringer
1999	B	`conf`	Experiments in Predicting Biodegradability. ILP Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
1998	J	`jnl`	Guest Editorial: First-Order Knowledge Discovery in Databases. Appl. Artif. Intell. Johannes Fürnkranz, Bernhard Pfahringer
1998	B	`conf`	Stochastic Propositionalization of Non-determinate Background Knowledge. ILP Stefan Kramer, Bernhard Pfahringer, Christoph Helma
1997	—	`conf`	Compression-Based Pruning of Decision Lists. ECML Bernhard Pfahringer
1997	A*	`conf`	Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. KDD Stefan Kramer, Bernhard Pfahringer, Christoph Helma
1996	A*	`conf`	Efficient Search for Strong Partial Determinations. KDD Stefan Kramer, Bernhard Pfahringer
1995	—	`conf`	A New MDL Measure for Robust Rule Induction (Extended Abstract). ECML Bernhard Pfahringer
1995	A*	`conf`	Compression-Based Discretization of Continuous Attributes. ICML Bernhard Pfahringer
1995	A*	`conf`	Compression-Based Evaluation of Partial Determinations. KDD Bernhard Pfahringer, Stefan Kramer
1994	—	`conf`	Controlling Constructive Induction in CIPF: An MDL Approach. ECML Bernhard Pfahringer
1994	Misc	`conf`	Robust Constructive Induction. KI Bernhard Pfahringer
1992	—	`conf`	The Logical Way to Build a DL-based KR System. Description Logics Bernhard Pfahringer
1991	—	`conf`	VIE-DU: Dialogue by Unification. ÖGAI Ernst Buchberger, Elizabeth Garner, Wolfgang Heinz, Johannes Matiasek, Bernhard Pfahringer
1989	—	`conf`	Extending Explanation-Based Generalization. ÖGAI Bernhard Pfahringer
1988	J	`jnl`	A decision support system for village health workers in developing countries. Appl. Artif. Intell. Bernhard Pfahringer, M. Hoberstorfer, Robert Trappl
1985	—	`conf`	VIE-KET: Frames + Prolog. ÖGAI Bernhard Pfahringer, Christian Holzbaur