Albert Bifet
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
117
Venues
34
Active years
2006–2026
Best venue rank
A*
Where they publish
- A*KDD15 papers
- BIJCNN11 papers
- A*ICDM10 papers
- ADIS9 papers
- BPAKDD8 papers
- MulticonferenceSAC6 papers
- BIDA6 papers
- ARecSys5 papers
- A*IJCAI4 papers
- A*AAAI3 papers
- ACIKM3 papers
- BPRICAI3 papers
- A*ICDE3 papers
- AECAI3 papers
- A*WWW3 papers
- A*ICML2 papers
- BICONIP2 papers
- BDSAA2 papers
- MulticonferenceICCS2 papers
- BESANN2 papers
- CACML2 papers
- NationalQCE1 paper
- AAISTATS1 paper
- A*ICSE1 paper
- CICANN1 paper
- CHPCC1 paper
- BEDBT1 paper
- CISCC1 paper
- A*INFOCOM1 paper
- A*SIGCOMM1 paper
- NationalICAISC1 paper
- BTrustCom1 paper
- BDASFAA1 paper
- ASDM1 paper
Papers
117 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach. | Clment Elliker, Jesse Read, Sonia Vanier, Albert Bifet |
| 2026 | AAAI | Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation (Abstract Reprint). | Marcos Vinicius Ferreira, Matheus Souza, Tatiane N. Rios, Islame F. C. Fernandes, Jorge Nery, Joo Gama, Albert Bifet, Ricardo Arajo Rios |
| 2026 | AAAI | Binary Split Categorical Feature with Mean Absolute Error Criteria in CART. | Peng Yu, Yike Chen, Chao Xu, Albert Bifet, Jesse Read |
| 2026 | KDD | ARES: Anomaly Recognition Model For Edge Streams. | Simone Mungari, Albert Bifet, Giuseppe Manco, Bernhard Pfahringer |
| 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 | ICML | Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO. | Ayman Chaouki, Jesse Read, Albert Bifet |
| 2025 | IJCNN | Stream Clustering Robust to Concept Drift. | Flix Iglesias, Simon Konzett, Tanja Zseby, 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 | AISTATS | Online Learning of Decision Trees with Thompson Sampling. | Ayman Chaouki, Jesse Read, Albert Bifet |
| 2024 | ICML | Online Isolation Forest. | Filippo Leveni, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Giacomo Boracchi |
| 2024 | ICONIP | AA-RPN: Adaptive Anchor-Based Region Proposal Network for Remote Sensing Object Detection. | Shuishui Cheng, Qingxuan Shi, Nick Jin Sean Lim, Albert Bifet |
| 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 | KDD | Practical Machine Learning for Streaming Data. | Heitor Murilo Gomes, Albert Bifet |
| 2024 | KDD | Sketch-Based Replay Projection for Continual Learning. | Jack Julian, Yun Sing Koh, Albert Bifet |
| 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 | ICDE | StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications. | Mariam Barry, Jacob Montiel, Albert Bifet, Sameer Wadkar, Nikolay Manchev, Max Halford, Raja Chiky, Saad El Jaouhari, Katherine B. Shakman, Joudi Al Fehaily, Fabrice Le Deit, Vinh-Thuy Tran, Eric Guerizec |
| 2023 | ICDE | FALL: A Modular Adaptive Learning Platform for Streaming Data. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet |
| 2023 | IJCAI | Survey on Online Streaming Continual Learning. | Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet |
| 2023 | ICSE | StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production. | Mariam Barry, Albert Bifet, Jean-Luc Billy |
| 2023 | RecSys | ORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling. | Joo Vinagre, Marie Al-Ghossein, Ladislav Peska, Alpio Mrio Jorge, Albert Bifet |
| 2023 | SAC | Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. | Martha I. Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano |
| 2022 | DIS | Adaptive Neural Networks for Online Domain Incremental Continual Learning. | Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer |
| 2022 | DSAA | A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet |
| 2022 | ICANN | Adaptive Online Domain Incremental Continual Learning. | Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer |
| 2022 | ICCS | Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences. | Thomas Guyet, Wenbin Zhang, Albert Bifet |
| 2022 | IJCNN | Adaptive Model Compression of Ensembles for Evolving Data Streams Forecasting. | Dihia Boulegane, Vitor Cerquiera, Albert Bifet |
| 2022 | IJCNN | Online Hyperparameter Optimization for Streaming Neural Networks. | Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet |
| 2022 | KDD | Online Clustering: Algorithms, Evaluation, Metrics, Applications and Benchmarking. | Jacob Montiel, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet |
| 2022 | PAKDD | Evolution-Based Online Automated Machine Learning. | Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet |
| 2022 | RecSys | ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling. | Joo Vinagre, Marie Al-Ghossein, Alpio Mrio Jorge, Albert Bifet, Ladislav Peska |
| 2021 | DIS | Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams. | Maroua Bahri, Albert Bifet |
| 2021 | DSAA | Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson |
| 2021 | ICDE | Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears |
| 2021 | IJCNN | Confident Interpretations of Black Box Classifiers. | Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek |
| 2021 | PAKDD | FARF: A Fair and Adaptive Random Forests Classifier. | Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl |
| 2021 | RecSys | ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling. | Joo Vinagre, Alpio Mrio Jorge, Marie Al-Ghossein, Albert Bifet |
| 2020 | DIS | Unsupervised Concept Drift Detection Using a Student-Teacher Approach. | Vtor Cerqueira, Heitor Murilo Gomes, Albert Bifet |
| 2020 | DIS | FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier. | Wenbin Zhang, Albert Bifet |
| 2020 | ECAI | Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. | Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis |
| 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 | ICDM | Incremental Rebalancing Learning on Evolving Data Streams. | Alessio Bernardo, Emanuele Della Valle, Albert Bifet |
| 2020 | ICDM | Fast Incremental Nave Bayes with Kalman Filtering. | Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet |
| 2020 | IJCAI | Survey on Feature Transformation Techniques for Data Streams. | Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes |
| 2020 | IJCNN | CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification. | Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu |
| 2020 | IJCNN | On Ensemble Techniques for Data Stream Regression. | Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet |
| 2020 | IJCNN | Performance measures for evolving predictions under delayed labelling classification. | Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet |
| 2020 | IJCNN | Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. | Viktor Losing, Barbara Hammer, Heiko Wersing, 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 |
| 2020 | RecSys | ORSUM - Workshop on Online Recommender Systems and User Modeling. | Joo Vinagre, Alpio Mrio Jorge, Marie Al-Ghossein, Albert Bifet |
| 2019 | CIKM | Adaptive Algorithms for Estimating Betweenness and | Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem |
| 2019 | EDBT | Metropolis-Hastings Algorithms for Estimating Betweenness Centrality. | Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet |
| 2019 | ESANN | Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets. | Albert Bifet, Barbara Hammer, Frank-Michael Schleif |
| 2019 | ICDM | Streaming Random Patches for Evolving Data Stream Classification. | Heitor Murilo Gomes, Jesse Read, Albert Bifet |
| 2019 | ICONIP | Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles. | Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read |
| 2019 | IJCNN | Adaptive Random Forests with Resampling for Imbalanced data Streams. | Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet, Luiz S. Oliveira |
| 2019 | ISCC | IDSA-IoT: An Intrusion Detection System Architecture for IoT Networks. | Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria, Albert Bifet |
| 2019 | RecSys | ORSUM 2019 2nd workshop on online recommender systems and user modeling. | Joo Vinagre, Alpio Mrio Jorge, Albert Bifet, Marie Al-Ghossein |
| 2019 | WWW | Continuous Analytics of Web Streams. | Riccardo Tommasini, Robin Keskisrkk, Jean-Paul Calbimonte, Eva Blomqvist, Emanuele Della Valle, Albert Bifet |
| 2018 | ESANN | Adaptive random forests for data stream regression. | Heitor Murilo Gomes, Jean Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet |
| 2018 | ICDM | Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. | Tian Guo, Albert Bifet, Nino Antulov-Fantulin |
| 2018 | ICDM | EXAD: A System for Explainable Anomaly Detection on Big Data Traces. | Fei Song, Yanlei Diao, Jesse Read, Arnaud Stiegler, Albert Bifet |
| 2018 | INFOCOM | Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data. | Andrian Putina, Steven Barth, Albert Bifet, Drew Pletcher, Cristina Precup, Patrice Nivaggioli, Dario Rossi |
| 2018 | PAKDD | Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs. | Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem |
| 2018 | PAKDD | Scalable Model-Based Cascaded Imputation of Missing Data. | Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem |
| 2018 | SIGCOMM | Telemetry-based stream-learning of BGP anomalies. | Andrian Putina, Dario Rossi, Albert Bifet, Steven Barth, Drew Pletcher, Cristina Precup, Patrice Nivaggioli |
| 2017 | ICAISC | Classifier Concept Drift Detection and the Illusion of Progress. | Albert Bifet |
| 2017 | IDA | Droplet Ensemble Learning on Drifting Data Streams. | Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki |
| 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 |
| 2017 | WWW | Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories. | Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet |
| 2016 | ACML | Echo State Hoeffding Tree Learning. | Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguad, Jos R. Herrero |
| 2016 | KDD | IoT Big Data Stream Mining. | Gianmarco De Francisci Morales, Albert Bifet, Latifur Khan, Joo Gama, Wei Fan |
| 2016 | WWW | Analyzing Big Data Streams with Apache SAMOA. | Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet |
| 2016 | SAC | Deferral classification of evolving temporal dependent data streams. | Michael Mayo, Albert Bifet |
| 2015 | ICDM | StreamDM: Advanced Data Mining in Spark Streaming. | Albert Bifet, Silviu Maniu, Jianfeng Qian, Guangjian Tian, Cheng He, Wei Fan |
| 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 | KDD | Preface. | Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu |
| 2015 | SAC | Deep learning in partially-labeled data streams. | Jesse Read, Fernando Prez-Cruz, Albert Bifet |
| 2015 | TrustCom | Data Stream Classification Using Random Feature Functions and Novel Method Combinations. | Jesse Read, Albert Bifet |
| 2014 | ECAI | Random Forests of Very Fast Decision Trees on GPU for Mining Evolving Big Data Streams. | Diego Marron, Albert Bifet, Gianmarco De Francisci Morales |
| 2014 | ICDM | Big Data Stream Learning with SAMOA. | Albert Bifet, Gianmarco De Francisci Morales |
| 2014 | ICDM | Incremental Ensemble Classifier Addressing Non-stationary Fast Data Streams. | Brandon Parker, Latifur Khan, Albert Bifet |
| 2014 | ICDM | Multi-label Classification with Meta-Labels. | Jesse Read, Antti Puurula, Albert Bifet |
| 2014 | KDD | Preface. | Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu |
| 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 | IDA | CD-MOA: Change Detection Framework for Massive Online Analysis. | Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite |
| 2013 | KDD | STRIP: stream learning of influence probabilities. | Konstantin Kutzkov, Albert Bifet, Francesco Bonchi, Aristides Gionis |
| 2013 | SAC | Efficient data stream classification via probabilistic adaptive windows. | Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes |
| 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 | IDA | Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. | Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes |
| 2011 | DIS | MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data. | Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer |
| 2011 | IDA | Online Evaluation of Email Streaming Classifiers Using GNUsmail. | Jos M. Carmona-Cejudo, Manuel Baena-Garca, Jos del Campo-vila, Albert Bifet, Joo Gama, Rafael Morales Bueno |
| 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 | DIS | Sentiment Knowledge Discovery in Twitter Streaming Data. | Albert Bifet, Eibe Frank |
| 2010 | ECAI | GNUsmail: Open Framework for On-line Email Classification. | Jos M. Carmona-Cejudo, Manuel Baena-Garca, Jos del Campo-vila, Rafael Morales Bueno, Albert Bifet |
| 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 | IDA | Adaptive Learning from Evolving Data Streams. | Albert Bifet, Ricard Gavald |
| 2009 | KDD | New ensemble methods for evolving data streams. | Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavald |
| 2008 | KDD | Mining adaptively frequent closed unlabeled rooted trees in data streams. | Albert Bifet, Ricard Gavald |
| 2007 | ICCS | Mining Frequent Closed Unordered Trees Through Natural Representations. | Jos L. Balczar, Albert Bifet, Antoni Lozano |
| 2007 | SDM | Learning from Time-Changing Data with Adaptive Windowing. | Albert Bifet, Ricard Gavald |
| 2006 | DIS | Kalman Filters and Adaptive Windows for Learning in Data Streams. | Albert Bifet, Ricard Gavald |