Albert Bifet

340 papers A* 28A 13B 36C 4Misc 7Journal 136Unranked 88
YearRankTypeTitle / Venue / Authors
2026 — conf
ARES: Anomaly Recognition Model For Edge Streams.
KDD (1)
Simone Mungari, Albert Bifet, Giuseppe Manco, Bernhard Pfahringer
2026 A* conf
Binary Split Categorical Feature with Mean Absolute Error Criteria in CART.
AAAI
Peng Yu, Yike Chen, Chao Xu, Albert Bifet, Jesse Read
2026 J jnl
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information.
CoRR
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
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
2026 A* conf
Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation (Abstract Reprint).
AAAI
Marcos Vinicius Ferreira, Matheus Souza, Tatiane N. Rios, Islame F. C. Fernandes, Jorge Nery, João Gama, Albert Bifet, Ricardo Araújo Rios
2026 A* conf
Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach.
AAAI
Clément Elliker, Jesse Read, Sonia Vanier, 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 J jnl
Accelerated Weka: GPU Machine Learning with Weka Workbench.
Neurocomputing
Guilherme Weigert Cassales, Justin Jia Liu, Albert Bifet
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 J jnl
BELLA: Black-box model Explanations by Local Linear Approximations.
Trans. Mach. Learn. Res.
Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek
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
Binary Split Categorical feature with Mean Absolute Error Criteria in CART.
CoRR
Peng Yu, Yike Chen, Chao Xu, Albert Bifet, Jesse Read
2025 A* conf
Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO.
ICML
Ayman Chaouki, Jesse Read, Albert Bifet
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 A conf
Dynamic Ensemble Member Selection for Data Stream Classification.
CIKM
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2025 — conf
Edge Machine Learning for Solar Power Forecasting.
FiCloud
Guilherme Weigert Cassales, Ioan Petri, Heitor Murilo Gomes, Omer F. Rana, 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
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
RMIDDM: an unsupervised and interpretable concept drift detection method for data streams.
Data Min. Knowl. Discov.
Ruivaldo Lobão-Neto, Brenno de Mello Alencar, Heitor Murilo Gomes, Albert Bifet, João Gama, Guilherme Weigert Cassales, Ricardo Araújo Rios
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 J jnl
Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach.
CoRR
Clément Elliker, Jesse Read, Sonia Vanier, Albert Bifet
2025 B conf
Stream Clustering Robust to Concept Drift.
IJCNN
Félix Iglesias, Simon Konzett, Tanja Zseby, Albert Bifet
2025 — conf
Streaming Isolation Forest.
PAKDD (1)
Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet
2025 J jnl
The Impact of Mānuka-Dominated Riparian Vegetation on Lake Water Quality: A Multisource Remote Sensing Approach.
IEEE Geosci. Remote. Sens. Lett.
Simna Rassak, Alvaro Orsi, Albert Bifet, María Jesús Gutiérrez Ginés, Kristin Bohm, Kevin I-Kai Wang, Akshat Bisht
2024 J jnl
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams.
CoRR
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
2024 J jnl
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning.
CoRR
Cedric Kulbach, Lucas Cazzonelli, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet
2024 — conf
AA-RPN: Adaptive Anchor-Based Region Proposal Network for Remote Sensing Object Detection.
ICONIP (8)
Shuishui Cheng, Qingxuan Shi, Nick Jin Sean Lim, 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
Branches: A Fast Dynamic Programming and Branch & Bound Algorithm for Optimal Decision Trees.
CoRR
Ayman Chaouki, Jesse Read, Albert Bifet
2024 J jnl
Gradient boosted trees for evolving data streams.
Mach. Learn.
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
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 — ed.
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IX
ECML/PKDD (9)
Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part X
ECML/PKDD (10)
Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part I
ECML/PKDD (1)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part II
ECML/PKDD (2)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part III
ECML/PKDD (3)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV
ECML/PKDD (4)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V
ECML/PKDD (5)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VI
ECML/PKDD (6)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VII
ECML/PKDD (7)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VIII
ECML/PKDD (8)
Albert Bifet, Povilas Daniusis, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indre Zliobaite
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 J jnl
NFA: A neural factorization autoencoder based online telephony fraud detection.
Digit. Commun. Networks
Abdul Wahid, Mounira Msahli, Albert Bifet, Gérard Memmi
2024 A* conf
Online Isolation Forest.
ICML
Filippo Leveni, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Giacomo Boracchi
2024 A conf
Online Learning of Decision Trees with Thompson Sampling.
AISTATS
Ayman Chaouki, Jesse Read, Albert Bifet
2024 J jnl
Online Learning of Decision Trees with Thompson Sampling.
CoRR
Ayman Chaouki, Jesse Read, Albert Bifet
2024 J jnl
Optimizing Hyperparameters for Quantum Data Re-Uploaders in Calorimetric Particle Identification.
CoRR
Léa Cassé, Bernhard Pfahringer, Albert Bifet, Frédéric Magniette
2024 A* conf
Practical Machine Learning for Streaming Data.
KDD
Heitor Murilo Gomes, Albert Bifet
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
Sketch-Based Replay Projection for Continual Learning.
KDD
Jack Julian, Yun Sing Koh, Albert Bifet
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 — conf
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning.
PKDD/ECML Workshops (1)
Cedric Kulbach, Lucas Cazzonelli, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet
2023 J jnl
A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams.
ACM Comput. Surv.
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
2023 Misc conf
Aging and rejuvenating strategies for fading windows in multi-label classification on data streams.
SAC
Martha I. Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano
2023 J jnl
BELLA: Black box model Explanations by Local Linear Approximations.
CoRR
Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek
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 B conf
Choosing the Right Time to Learn Evolving Data Streams.
IEEE Big Data
Alessio Bernardo, Emanuele Della Valle, Albert Bifet
2023 J jnl
Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams.
ACM Trans. Knowl. Discov. Data
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
2023 B ed.
Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings
DS
Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, Pedro H. Abreu
2023 J jnl
Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence.
Expert Syst. J. Knowl. Eng.
Paulo Cortez, Albert Bifet
2023 J jnl
Exploring the potentials of online machine learning for predictive maintenance: a case study in the railway industry.
Appl. Intell.
Minh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet
2023 A* conf
FALL: A Modular Adaptive Learning Platform for Streaming Data.
ICDE
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
2023 — conf
FG
ECML/PKDD (2)
Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang
2023 J jnl
Fog-DeepStream: A new approach combining LSTM and Concept Drift for data stream analytics on Fog computing.
Internet Things
Brenno de Mello Alencar, João Paulo Canário, Ruivaldo Lobão-Neto, Cássio V. S. Prazeres, Albert Bifet, Ricardo Araújo Rios
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 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 A conf
ORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling.
RecSys
João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet
2023 — conf
Preventing Discriminatory Decision-making in Evolving Data Streams.
FAccT
Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Xuyu Wang, Albert Bifet, Wenbin Zhang
2023 J jnl
Preventing Discriminatory Decision-making in Evolving Data Streams.
CoRR
Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Albert Bifet, Wenbin Zhang
2023 — ed.
Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023.
ORSUM@RecSys
João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet
2023 J jnl
STUDD: a student-teacher method for unsupervised concept drift detection.
Mach. Learn.
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
2023 — conf
StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production.
ICSE-SEIP
Mariam Barry, Albert Bifet, Jean-Luc Billy
2023 A* conf
StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications.
ICDE
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 A* conf
Survey on Online Streaming Continual Learning.
IJCAI
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2023 J jnl
Towards time-evolving analytics: Online learning for time-dependent evolving data streams.
Data Sci.
Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Vítor Cerqueira, Albert Bifet
2023 J jnl
Wangiri Fraud: Pattern Analysis and Machine-Learning-Based Detection.
IEEE Internet Things J.
Akshaya Ravi, Mounira Msahli, Han Qiu, Gérard Memmi, Albert Bifet, Meikang Qiu
2023 J jnl
teex: A toolbox for the evaluation of explanations.
Neurocomputing
Jesus Antonanzas, Yunzhe Jia, Eibe Frank, Albert Bifet, Bernhard Pfahringer
2022 B conf
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams.
DSAA
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
2022 J jnl
A Survey on Spatio-temporal Data Analytics Systems.
ACM Comput. Surv.
Md. Mahbub Alam, Luís Torgo, Albert Bifet
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 Model Compression of Ensembles for Evolving Data Streams Forecasting.
IJCNN
Dihia Boulegane, Vitor Cerquiera, Albert Bifet
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 J jnl
An eager splitting strategy for online decision trees in ensembles.
Data Min. Knowl. Discov.
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
2022 J jnl
Analyzing and repairing concept drift adaptation in data stream classification.
Mach. Learn.
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
2022 — conf
Assessing Vulnerability from Its Description.
UbiSec
Zijing Zhang, Vimal Kumar, Michael Mayo, Albert Bifet
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 B conf
Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams.
IEEE Big Data
Minh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet
2022 — conf
Evolution-Based Online Automated Machine Learning.
PAKDD (1)
Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet
2022 J jnl
Green Accelerated Hoeffding Tree.
CoRR
Eva García-Martín, Albert Bifet, Niklas Lavesson, Rikard König, Henrik Linusson
2022 J jnl
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence.
CoRR
Thomas Guyet, Wenbin Zhang, Albert Bifet
2022 — conf
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences.
ICCS (1)
Thomas Guyet, Wenbin Zhang, Albert Bifet
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 J jnl
Linear TreeShap.
CoRR
Peng Yu, Chao Xu, Albert Bifet, Jesse Read
2022 A* conf
Linear tree shap.
NeurIPS
Peng Yu, Albert Bifet, Jesse Read, Chao Xu
2022 A conf
ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling.
RecSys
João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska
2022 A* conf
Online Clustering: Algorithms, Evaluation, Metrics, Applications and Benchmarking.
KDD
Jacob Montiel, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet
2022 B conf
Online Hyperparameter Optimization for Streaming Neural Networks.
IJCNN
Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2022 J jnl
Open challenges for Machine Learning based Early Decision-Making research.
CoRR
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau
2022 J jnl
Open challenges for Machine Learning based Early Decision-Making research.
SIGKDD Explor.
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau
2022 J jnl
Preface to the special issue on dynamic recommender systems and user models.
User Model. User Adapt. Interact.
João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet, Paolo Cremonesi
2022 J jnl
Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling - ORSUM 2021.
CoRR
João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
2022 — ed.
Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, ORSUM@RecSys 2022, Seattle, WA, USA, September 23rd, 2022.
ORSUM@RecSys
João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska
2022 J jnl
Resource-Aware Edge-Based Stream Analytics.
IEEE Internet Comput.
Ioan Petri, Ioan Chirila, Heitor Murilo Gomes, Albert Bifet, Omer F. Rana
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
2022 B conf
Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network.
IEEE Big Data
Mariam Barry, Albert Bifet, Raja Chiky, Saad El Jaouhari, Jacob Montiel, Aissa El Ouafi, Eric Guerizec
2022 B conf
StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams.
IEEE Big Data
Mariam Barry, Saad El Jaouhari, Albert Bifet, Jacob Montiel, Eric Guerizec, Raja Chiky
2022 J jnl
TA4L: Efficient temporal abstraction of multivariate time series.
Knowl. Based Syst.
Natalia Mordvanyuk, Beatriz López, Albert Bifet
2022 J jnl
VEPRECO: Vertical databases with pre-pruning strategies and common candidate selection policies to fasten sequential pattern mining.
Expert Syst. Appl.
Natalia Mordvanyuk, Albert Bifet, Beatriz López
2021 J jnl
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams.
CoRR
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
2021 J jnl
A Survey on Spatio-temporal Data Analytics Systems.
CoRR
Md. Mahbub Alam, Luís Torgo, Albert Bifet
2021 — conf
AI Transformation in the Public Sector: Ongoing Research.
SAIS
Einav Peretz-Andersson, Niklas Lavesson, Albert Bifet, Patrick Mikalef
2021 B conf
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification.
DSAA
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
2021 J jnl
Binding data mining and expert knowledge for one-day-ahead prediction of hourly global solar radiation.
Expert Syst. Appl.
José del Campo-Ávila, Abdelatif Takilalte, Albert Bifet, Llanos Mora López
2021 J jnl
CURIE: a cellular automaton for concept drift detection.
Data Min. Knowl. Discov.
Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera
2021 — conf
Challenges of Machine Learning for Data Streams in the Banking Industry.
BDA
Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran
2021 B conf
Confident Interpretations of Black Box Classifiers.
IJCNN
Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek
2021 J jnl
Data stream analysis: Foundations, major tasks and tools.
WIREs Data Mining Knowl. Discov.
Maroua Bahri, Albert Bifet, João Gama, Heitor Murilo Gomes, Silviu Maniu
2021 J jnl
Energy modeling of Hoeffding tree ensembles.
Intell. Data Anal.
Eva García-Martín, Albert Bifet, Niklas Lavesson
2021 J jnl
Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs.
Fundam. Informaticae
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
2021 — conf
FARF: A Fair and Adaptive Random Forests Classifier.
PAKDD (2)
Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
2021 J jnl
FARF: A Fair and Adaptive Random Forests Classifier.
CoRR
Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
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 A* conf
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information.
ICDE
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
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 B conf
Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams.
DS
Maroua Bahri, Albert Bifet
2021 — conf
Kalman Filtering for Learning with Evolving Data Streams.
IEEE BigData
Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet
2021 J jnl
Learning from evolving data streams through ensembles of random patches.
Knowl. Inf. Syst.
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Robert J. Durrant
2021 J jnl
Model Compression for Dynamic Forecast Combination.
CoRR
Vítor Cerqueira, Luís Torgo, Carlos Soares, Albert Bifet
2021 A conf
ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling.
RecSys
João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
2021 J jnl
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.
Data Min. Knowl. Discov.
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet
2021 J jnl
River: machine learning for streaming data in Python.
J. Mach. Learn. Res.
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
2021 — conf
S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams.
DEBS
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet
2021 J jnl
STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection.
CoRR
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
2021 J jnl
Sketches for Time-Dependent Machine Learning.
CoRR
Jesus Antonanzas, Marta Arias, Albert Bifet
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
vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining.
Expert Syst. Appl.
Natalia Mordvanyuk, Beatriz López, Albert Bifet
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 Eager Splitting Strategy for Online Decision Trees.
CoRR
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
2020 — conf
AutoML for Stream k-Nearest Neighbors Classification.
IEEE BigData
Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama
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 B conf
CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification.
IJCNN
Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu
2020 J jnl
CURIE: A Cellular Automaton for Concept Drift Detection.
CoRR
Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera
2020 — conf
Challenges of Stream Learning for Predictive Maintenance in the Railway Sector.
IoT Streams/ITEM@PKDD/ECML
Minh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet
2020 A conf
Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams.
ECAI
Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis
2020 J jnl
Delayed labelling evaluation for data streams.
Data Min. Knowl. Discov.
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
2020 J jnl
Discriminative Streaming Network Embedding.
Knowl. Based Syst.
Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang
2020 B conf
Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams.
IDA
Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu
2020 J jnl
Emergent and Unspecified Behaviors in Streaming Decision Trees.
CoRR
Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi, Albert Bifet
2020 J jnl
Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning.
Neural Networks
Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser
2020 B conf
FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier.
DS
Wenbin Zhang, Albert Bifet
2020 — conf
Fast Incremental Naïve Bayes with Kalman Filtering.
ICDM (Workshops)
Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet
2020 J jnl
Fifth special issue on knowledge discovery and business intelligence.
Expert Syst. J. Knowl. Eng.
Paulo Cortez, Albert Bifet
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 — conf
Incremental Rebalancing Learning on Evolving Data Streams.
ICDM (Workshops)
Alessio Bernardo, Emanuele Della Valle, Albert Bifet
2020 — ed.
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers
IoT Streams/ITEM@PKDD/ECML
João Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchaweh, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott
2020 J jnl
IoT data stream analytics.
Ann. des Télécommunications
Albert Bifet, João Gama
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 A conf
ORSUM - Workshop on Online Recommender Systems and User Modeling.
RecSys
João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
2020 B conf
On Ensemble Techniques for Data Stream Regression.
IJCNN
Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet
2020 B conf
Performance measures for evolving predictions under delayed labelling classification.
IJCNN
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
2020 — ed.
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020.
ORSUM@RecSys
João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
2020 — ed.
Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications co-located with 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019.
BigMine@KDD
Albert Bifet, Michele Berlingerio, João Gama, Jesse Read, Ana Rita Nogueira
2020 B conf
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift.
IJCNN
Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet
2020 J jnl
River: machine learning for streaming data in Python.
CoRR
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
2020 J jnl
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams.
CoRR
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet
2020 J jnl
SCALAR - A Platform for Real-time Machine Learning Competitions on Data Streams.
J. Open Source Softw.
Nedeljko Radulovic, Dihia Boulegane, Albert Bifet
2020 J jnl
Sampling informative patterns from large single networks.
Future Gener. Comput. Syst.
Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet, Meriem Bouzbila
2020 J jnl
Spiking Neural Networks and online learning: An overview and perspectives.
Neural Networks
Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov
2020 — conf
Streaming Time Series Forecasting using Multi-Target Regression with Dynamic Ensemble Selection.
IEEE BigData
Dihia Boulegane, Albert Bifet, Haytham Elghazel, Giyyarpuram Madhusudan
2020 A* conf
Survey on Feature Transformation Techniques for Data Streams.
IJCAI
Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes
2020 B conf
Unsupervised Concept Drift Detection Using a Student-Teacher Approach.
DS
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet
2020 — conf
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.
LION
Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
2019 — ed.
2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark
ORSUM@RecSys
João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein
2019 A conf
Adaptive Algorithms for Estimating Betweenness and
CIKM
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
2019 B conf
Adaptive Random Forests with Resampling for Imbalanced data Streams.
IJCNN
Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet, Luiz S. Oliveira
2019 — conf
Arbitrated Dynamic Ensemble with Abstaining for Time-Series Forecasting on Data Streams.
IEEE BigData
Dihia Boulegane, Albert Bifet, Giyyarpuram Madhusudan
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 — conf
Continuous Analytics of Web Streams.
WWW (Companion Volume)
Riccardo Tommasini, Robin Keskisärkkä, Jean-Paul Calbimonte, Eva Blomqvist, Emanuele Della Valle, Albert Bifet
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 — ed.
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers
DMLE/IOTSTREAMING@PKDD/ECML
Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed-Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro
2019 — ed.
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML
Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn
2019 J jnl
Efficient frequent subgraph mining on large streaming graphs.
Intell. Data Anal.
Abhik Ray, Lawrence B. Holder, Albert Bifet
2019 J jnl
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning.
CoRR
Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser
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
IDSA-IoT: An Intrusion Detection System Architecture for IoT Networks.
ISCC
Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria, Albert Bifet
2019 J jnl
Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining.
Int. J. Data Sci. Anal.
Jesse Read, Albert Bifet, Wei Fan, Qiang Yang, Philip S. Yu
2019 J jnl
Machine learning for streaming data: state of the art, challenges, and opportunities.
SIGKDD Explor.
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal, João Gama
2019 J jnl
Measuring the Shattering coefficient of Decision Tree models.
Expert Syst. Appl.
Rodrigo Fernandes de Mello, Chaitanya Manapragada, Albert Bifet
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 B conf
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality.
EDBT
Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet
2019 — conf
Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles.
ICONIP (1)
Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read
2019 A conf
ORSUM 2019 2nd workshop on online recommender systems and user modeling.
RecSys
João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein
2019 J jnl
On learning guarantees to unsupervised concept drift detection on data streams.
Expert Syst. Appl.
Rodrigo Fernandes de Mello, Yule Vaz, Carlos Henrique Grossi Ferreira, Albert Bifet
2019 — conf
Real-Time Machine Learning Competition on Data Streams at the IEEE Big Data 2019.
IEEE BigData
Dihia Boulegane, Nedeljko Radulovic, Albert Bifet, Ghislain Fiévet, Jimin Sohn, Yeonwoo Nam, Seojeong Yu, Dong-Wan Choi
2019 J jnl
Rebalancing Learning on Evolving Data Streams.
CoRR
Alessio Bernardo, Emanuele Della Valle, Albert Bifet
2019 B conf
Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets.
ESANN
Albert Bifet, Barbara Hammer, Frank-Michael Schleif
2019 J jnl
Recurring Concept Meta-learning for Evolving Data Streams.
CoRR
Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet
2019 J jnl
Recurring concept meta-learning for evolving data streams.
Expert Syst. Appl.
Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet
2019 J jnl
Resource-aware Elastic Swap Random Forest for Evolving Data Streams.
CoRR
Diego Marrón, Eduard Ayguadé, José Ramon Herrero, Albert Bifet
2019 — conf
Semi-supervised Learning over Streaming Data using MOA.
IEEE BigData
Minh-Huong Le Nguyen, Heitor Murilo Gomes, Albert Bifet
2019 J jnl
Spiking Neural Networks and Online Learning: An Overview and Perspectives.
CoRR
Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov
2019 A* conf
Streaming Random Patches for Evolving Data Stream Classification.
ICDM
Heitor Murilo Gomes, Jesse Read, Albert Bifet
2019 — conf
Towards Automated Configuration of Stream Clustering Algorithms.
PKDD/ECML Workshops (1)
Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
2018 — conf
A Sketch-Based Naive Bayes Algorithms for Evolving Data Streams.
IEEE BigData
Maroua Bahri, Silviu Maniu, Albert Bifet
2018 B conf
Adaptive random forests for data stream regression.
ESANN
Heitor Murilo Gomes, Jean Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet
2018 — conf
An In-depth Comparison of Group Betweenness Centrality Estimation Algorithms.
IEEE BigData
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
2018 A* conf
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders.
ICDM
Tian Guo, Albert Bifet, Nino Antulov-Fantulin
2018 J jnl
Discriminative Distance-Based Network Indices with Application to Link Prediction.
Comput. J.
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
2018 — conf
DyBED: An Efficient Algorithm for Updating Betweenness Centrality in Directed Dynamic Graphs.
IEEE BigData
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
2018 — conf
EXAD: A System for Explainable Anomaly Detection on Big Data Traces.
ICDM Workshops
Fei Song, Yanlei Diao, Jesse Read, Arnaud Stiegler, Albert Bifet
2018 — conf
Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs.
PAKDD (3)
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
2018 J jnl
Large-Scale Learning from Data Streams with Apache SAMOA.
CoRR
Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet
2018 — conf
Learning Fast and Slow: A Unified Batch/Stream Framework.
IEEE BigData
Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem
2018 J jnl
Novel Adaptive Algorithms for Estimating Betweenness, Coverage and k-path Centralities.
CoRR
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
2018 J jnl
Predicting attributes and friends of mobile users from AP-Trajectories.
Inf. Sci.
Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet
2018 — conf
Scalable Model-Based Cascaded Imputation of Missing Data.
PAKDD (3)
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
2018 J jnl
Scikit-Multiflow: A Multi-output Streaming Framework.
CoRR
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
2018 J jnl
Scikit-Multiflow: A Multi-output Streaming Framework.
J. Mach. Learn. Res.
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
2018 — conf
Telemetry-based stream-learning of BGP anomalies.
Big-DAMA@SIGCOMM
Andrian Putina, Dario Rossi, Albert Bifet, Steven Barth, Drew Pletcher, Cristina Precup, Patrice Nivaggioli
2018 — conf
Ubiquitous Artificial Intelligence and Dynamic Data Streams.
DEBS
Albert Bifet, Jesse Read
2018 — conf
Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data.
INFOCOM Workshops
Andrian Putina, Steven Barth, Albert Bifet, Drew Pletcher, Cristina Precup, Patrice Nivaggioli, Dario Rossi
2017 J jnl
A Survey on Ensemble Learning for Data Stream Classification.
ACM Comput. Surv.
Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, Albert Bifet
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 — conf
Classifier Concept Drift Detection and the Illusion of Progress.
ICAISC (2)
Albert Bifet
2017 J jnl
Data stream classification using random feature functions and novel method combinations.
J. Syst. Softw.
Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro
2017 J jnl
Discriminative Distance-Based Network Indices and the Tiny-World Property.
CoRR
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
2017 B conf
Droplet Ensemble Learning on Drifting Data Streams.
IDA
Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki
2017 J jnl
Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs.
CoRR
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
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 — conf
Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories.
WWW (Companion Volume)
Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet
2017 — conf
Low-latency multi-threaded ensemble learning for dynamic big data streams.
IEEE BigData
Diego Marron, Eduard Ayguadé, José R. Herrero, Jesse Read, Albert Bifet
2017 J jnl
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality in Large Networks.
CoRR
Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet
2017 — conf
Predicting over-indebtedness on batch and streaming data.
IEEE BigData
Jacob Montiel, Albert Bifet, Talel Abdessalem
2017 — ed.
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18-22, 2017.
IOTSTREAMING@PKDD/ECML
Moamar Sayed-Mouchaweh, Albert Bifet, Hamid Bouchachia, João Gama, Rita Paula Ribeiro
2016 J jnl
A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic.
Telecommun. Syst.
Valentín Carela-Español, Pere Barlet-Ros, Albert Bifet, Kensuke Fukuda
2016 J jnl
Adaptive Model Rules From High-Speed Data Streams.
ACM Trans. Knowl. Discov. Data
João Duarte, João Gama, Albert Bifet
2016 — conf
Analyzing Big Data Streams with Apache SAMOA.
MSM@WWW,MUSE@PKDD/ECML
Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet
2016 Misc conf
Deferral classification of evolving temporal dependent data streams.
SAC
Michael Mayo, Albert Bifet
2016 C conf
Echo State Hoeffding Tree Learning.
ACML
Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguadé, José R. Herrero
2016 A* conf
IoT Big Data Stream Mining.
KDD
Gianmarco De Francisci Morales, Albert Bifet, Latifur Khan, João Gama, Wei Fan
2016 — conf
Mining Internet of Things (IoT) Big Data Streams.
SIMBig
Albert Bifet
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
2016 — ed.
Proceedings of the 5th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2016, San Francisco, CA, USA, August 14, 2016
BigMine
Wei Fan, Albert Bifet, Jesse Read, Qiang Yang, Philip S. Yu
2016 J jnl
VHT: Vertical Hoeffding Tree.
CoRR
Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet, Arinto Murdopo
2016 — conf
VHT: Vertical hoeffding tree.
IEEE BigData
Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet, Arinto Murdopo
2015 J jnl
An efficient closed frequent itemset miner for the MOA stream mining system.
AI Commun.
Massimo Quadrana, Albert Bifet, Ricard Gavaldà
2015 — conf
Data Stream Classification Using Random Feature Functions and Novel Method Combinations.
TrustCom/BigDataSE/ISPA (2)
Jesse Read, Albert Bifet
2015 J jnl
Data Stream Classification using Random Feature Functions and Novel Method Combinations.
CoRR
Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro
2015 Misc conf
Deep learning in partially-labeled data streams.
SAC
Jesse Read, Fernando Pérez-Cruz, Albert Bifet
2015 — conf
Drift Detection Using Stream Volatility.
ECML/PKDD (1)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet
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 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III
ECML/PKDD (3)
Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavaldà, Dino Pedreschi, Francesco Bonchi, Jaime S. Cardoso, Myra Spiliopoulou
2015 — conf
Mining Big Data Streams with Apache SAMOA.
MUSE@PKDD/ECML
Albert Bifet
2015 — conf
Preface.
BigMine
Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
2015 — conf
Real-Time Big Data Stream Analytics.
SIMBig
Albert Bifet
2015 J jnl
SAMOA: scalable advanced massive online analysis.
J. Mach. Learn. Res.
Gianmarco De Francisci Morales, Albert Bifet
2015 — conf
StreamDM: Advanced Data Mining in Spark Streaming.
ICDM Workshops
Albert Bifet, Silviu Maniu, Jianfeng Qian, Guangjian Tian, Cheng He, Wei Fan
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
A survey on concept drift adaptation.
ACM Comput. Surv.
João Gama, Indre Zliobaite, Albert Bifet, Mykola Pechenizkiy, Abdelhamid Bouchachia
2014 J jnl
Active Learning With Drifting Streaming Data.
IEEE Trans. Neural Networks Learn. Syst.
Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes
2014 — conf
Big Data Stream Learning with SAMOA.
ICDM Workshops
Albert Bifet, Gianmarco De Francisci Morales
2014 Misc conf
Change detection in categorical evolving data streams.
SAC
Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet
2014 — conf
Distributed Adaptive Model Rules for mining big data streams.
IEEE BigData
Anh Thu Vu, Gianmarco De Francisci Morales, João Gama, Albert Bifet
2014 — conf
Détection de changements dans des flots de données qualitatives.
EGC
Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet
2014 — conf
Incremental Ensemble Classifier Addressing Non-stationary Fast Data Streams.
ICDM Workshops
Brandon Parker, Latifur Khan, Albert Bifet
2014 J jnl
Kaggle LSHTC4 Winning Solution.
CoRR
Antti Puurula, Jesse Read, Albert Bifet
2014 A* conf
Multi-label Classification with Meta-Labels.
ICDM
Jesse Read, Antti Puurula, Albert Bifet
2014 — conf
Preface.
BigMine
Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
2014 — ed.
Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2014, New York City, USA, August 24, 2014
BigMine
Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
2014 A conf
Random Forests of Very Fast Decision Trees on GPU for Mining Evolving Big Data Streams.
ECAI
Diego Marron, Albert Bifet, Gianmarco De Francisci Morales
2013 — conf
An Efficient Closed Frequent Itemset Miner for the Moa Stream Mining System.
CCIA
Massimo Quadrana, Albert Bifet, Ricard Gavaldà
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 J jnl
Mining Big Data in Real Time.
Informatica (Slovenia)
Albert Bifet
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 — ed.
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2013, Chicago, IL, USA, August 11, 2013
BigMine
Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
2013 A* conf
STRIP: stream learning of influence probabilities.
KDD
Konstantin Kutzkov, Albert Bifet, Francesco Bonchi, Aristides Gionis
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
Mining big data: current status, and forecast to the future.
SIGKDD Explor.
Wei Fan, Albert Bifet
2012 J jnl
Next challenges for adaptive learning systems.
SIGKDD Explor.
Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro L. Minku, Katarzyna Musial
2012 — ed.
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2012, Beijing, China, August 12, 2012
BigMine
Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
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
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 J jnl
Mining frequent closed trees in evolving data streams.
Intell. Data Anal.
Albert Bifet, Ricard Gavaldà
2011 B conf
Online Evaluation of Email Streaming Classifiers Using GNUsmail.
IDA
José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Albert Bifet, João Gama, Rafael Morales Bueno
2011 — conf
Streaming Multi-label Classification.
WAPA
Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2011 — conf
Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification.
WAPA
José M. Carmona-Cejudo, Manuel Baena-García, Rafael Morales Bueno, João Gama, Albert Bifet
2010 C conf
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking.
ACML
Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
2010 — book
Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams
Albert Bifet
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 — conf
Fast Perceptron Decision Tree Learning from Evolving Data Streams.
PAKDD (2)
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank
2010 A conf
GNUsmail: Open Framework for On-line Email Classification.
ECAI
José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Rafael Morales Bueno, Albert Bifet
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
Mining frequent closed rooted trees.
Mach. Learn.
José L. Balcázar, Albert Bifet, Antoni Lozano
2010 B conf
Sentiment Knowledge Discovery in Twitter Streaming Data.
Discovery Science
Albert Bifet, Eibe Frank
2009 — —
Adaptive Learning and Mining for Data Streams and Frequent Patterns.
Albert Bifet
2009 B conf
Adaptive Learning from Evolving Data Streams.
IDA
Albert Bifet, Ricard Gavaldà
2009 — conf
Adaptive XML Tree Classification on Evolving Data Streams.
ECML/PKDD (1)
Albert Bifet, Ricard Gavaldà
2009 — conf
Adaptive XML Tree Mining on Evolving Data Streams.
MLG/SRL@ILP
Albert Bifet, Ricard Gavaldà
2009 J jnl
Adaptive learning and mining for data streams and frequent patterns.
SIGKDD Explor.
Albert Bifet
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
2008 — conf
Mining Implications from Lattices of Closed Trees.
EGC
José L. Balcázar, Albert Bifet, Antoni Lozano
2008 A* conf
Mining adaptively frequent closed unlabeled rooted trees in data streams.
KDD
Albert Bifet, Ricard Gavaldà
2007 A conf
Learning from Time-Changing Data with Adaptive Windowing.
SDM
Albert Bifet, Ricard Gavaldà
2007 Misc conf
Mining Frequent Closed Unordered Trees Through Natural Representations.
ICCS
José L. Balcázar, Albert Bifet, Antoni Lozano
2007 — conf
Subtree Testing and Closed Tree Mining Through Natural Representations.
DEXA Workshops
José L. Balcázar, Albert Bifet, Antoni Lozano
2006 B conf
Kalman Filters and Adaptive Windows for Learning in Data Streams.
Discovery Science
Albert Bifet, Ricard Gavaldà
2005 — conf
An Analysis of Factors Used in Search Engine Ranking.
AIRWeb
Albert Bifet, Carlos Castillo, Paul-Alexandru Chirita, Ingmar Weber