Albert Bifet

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 194

Top Venues

Publications

Jack Julian, Yun Sing Koh, Albert Bifet
Sketch-Based Replay Projection for Continual Learning. KDD (2024)
Ayman Chaouki, Jesse Read, Albert Bifet
Branches: A Fast Dynamic Programming and Branch & Bound Algorithm for Optimal Decision Trees. CoRR (2024)
Ayman Chaouki, Jesse Read, Albert Bifet
Online Learning of Decision Trees with Thompson Sampling. CoRR (2024)
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
Gradient boosted trees for evolving data streams. Mach. Learn. 113 (5) (2024)
Heitor Murilo Gomes, Albert Bifet
Practical Machine Learning for Streaming Data. KDD (2024)
Abdul Wahid, Mounira Msahli, Albert Bifet, Gérard Memmi
NFA: A neural factorization autoencoder based online telephony fraud detection. Digit. Commun. Networks 10 (1) (2024)
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
Adaptive Prediction Interval for Data Stream Regression. PAKDD (3) (2024)
Cedric Kulbach, Lucas Cazzonelli, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning. CoRR (2024)
Ayman Chaouki, Jesse Read, Albert Bifet
Online Learning of Decision Trees with Thompson Sampling. AISTATS (2024)
Reginaldo Luna, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Heitor Murilo Gomes, Hermes Senger
Mini-batching with Fused Training and Testing for Data Streams Processing on the Edge. CF (2024)
Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Albert Bifet, Wenbin Zhang
Preventing Discriminatory Decision-making in Evolving Data Streams. CoRR (2023)
Martha Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano
Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. SAC (2023)
Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CoRR (2023)
Jesus Antonanzas, Yunzhe Jia, Eibe Frank, Albert Bifet, Bernhard Pfahringer
teex: A toolbox for the evaluation of explanations. Neurocomputing 555 (2023)
Akshaya Ravi, Mounira Msahli, Han Qiu, Gérard Memmi, Albert Bifet, Meikang Qiu
Wangiri Fraud: Pattern Analysis and Machine-Learning-Based Detection. IEEE Internet Things J. 10 (8, April 15) (2023)
Alessio Bernardo, Emanuele Della Valle, Albert Bifet
Choosing the Right Time to Learn Evolving Data Streams. BigData (2023)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. IEEE Trans. Netw. Serv. Manag. 20 (3) (2023)
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
STUDD: a student-teacher method for unsupervised concept drift detection. Mach. Learn. 112 (11) (2023)
João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet
ORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling. RecSys (2023)
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. ACM Comput. Surv. 55 (4) (2023)
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
Survey on Online Streaming Continual Learning. IJCAI (2023)
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
StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications. ICDE (2023)
Paulo Cortez, Albert Bifet
Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence. Expert Syst. J. Knowl. Eng. 40 (10) (2023)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Xuyu Wang, Albert Bifet, Wenbin Zhang
Preventing Discriminatory Decision-making in Evolving Data Streams. FAccT (2023)
Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang
AN: Fairness-Aware Graph Generative Adversarial Networks. ECML/PKDD (2) (2023)
Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CIKM (2023)
Minh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet
Exploring the potentials of online machine learning for predictive maintenance: a case study in the railway industry. Appl. Intell. 53 (24) (2023)
Mariam Barry, Albert Bifet, Jean-Luc Billy
StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production. ICSE-SEIP (2023)
Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek
BELLA: Black box model Explanations by Local Linear Approximations. CoRR (2023)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
FALL: A Modular Adaptive Learning Platform for Streaming Data. ICDE (2023)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. CoRR (2022)
João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska
ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling. RecSys (2022)
Zijing Zhang, Vimal Kumar, Michael Mayo, Albert Bifet
Assessing Vulnerability from Its Description. UbiSec (2022)
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams. Data Min. Knowl. Discov. 36 (5) (2022)
Thomas Guyet, Wenbin Zhang, Albert Bifet
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence. CoRR (2022)
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. NeurIPS (2022)
Mariam Barry, Saad El Jaouhari, Albert Bifet, Jacob Montiel, Eric Guerizec, Raja Chiky
StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams. Big Data (2022)
Natalia Mordvanyuk, Albert Bifet, Beatriz López
VEPRECO: Vertical databases with pre-pruning strategies and common candidate selection policies to fasten sequential pattern mining. Expert Syst. Appl. 204 (2022)
Mariam Barry, Albert Bifet, Raja Chiky, Saad El Jaouhari, Jacob Montiel, Aissa El Ouafi, Eric Guerizec
Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network. Big Data (2022)
Emanuele Pio Barracchia, Gianvito Pio, Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Michelangelo Ceci
LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Inf. Sci. 606 (2022)
Peng Yu, Chao Xu, Albert Bifet, Jesse Read
Linear TreeShap. CoRR (2022)
Jacob Montiel, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet
Online Clustering: Algorithms, Evaluation, Metrics, Applications and Benchmarking. KDD (2022)
João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling - ORSUM 2021. CoRR (2022)
Ioan Petri, Ioan Chirila, Heitor Murilo Gomes, Albert Bifet, Omer F. Rana
Resource-Aware Edge-Based Stream Analytics. IEEE Internet Comput. 26 (4) (2022)
Minh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet
Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams. Big Data (2022)
Md. Mahbub Alam, Luís Torgo, Albert Bifet
A Survey on Spatio-temporal Data Analytics Systems. ACM Comput. Surv. 54 (10s) (2022)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
Analyzing and repairing concept drift adaptation in data stream classification. Mach. Learn. 111 (10) (2022)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams. DSAA (2022)
João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet, Paolo Cremonesi
Preface to the special issue on dynamic recommender systems and user models. User Model. User Adapt. Interact. 32 (4) (2022)
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau
Open challenges for Machine Learning based Early Decision-Making research. SIGKDD Explor. 24 (2) (2022)
Thomas Guyet, Wenbin Zhang, Albert Bifet
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences. ICCS (1) (2022)
Natalia Mordvanyuk, Beatriz López, Albert Bifet
TA4L: Efficient temporal abstraction of multivariate time series. Knowl. Based Syst. 244 (2022)
Eva García-Martín, Albert Bifet, Niklas Lavesson, Rikard König, Henrik Linusson
Green Accelerated Hoeffding Tree. CoRR (2022)
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau
Open challenges for Machine Learning based Early Decision-Making research. CoRR (2022)
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
An eager splitting strategy for online decision trees in ensembles. Data Min. Knowl. Discov. 36 (2) (2022)
Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Adaptive Neural Networks for Online Domain Incremental Continual Learning. DS (2022)
Peng Yu, Albert Bifet, Jesse Read, Chao Xu
Linear tree shap. NeurIPS (2022)
Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet
Evolution-Based Online Automated Machine Learning. PAKDD (1) (2022)
Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Adaptive Online Domain Incremental Continual Learning. ICANN (1) (2022)
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. CoRR (2022)
Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
Online Hyperparameter Optimization for Streaming Neural Networks. IJCNN (2022)
Dihia Boulegane, Vitor Cerquiera, Albert Bifet
Adaptive Model Compression of Ensembles for Evolving Data Streams Forecasting. IJCNN (2022)
Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek
Confident Interpretations of Black Box Classifiers. IJCNN (2021)
Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet
Kalman Filtering for Learning with Evolving Data Streams. IEEE BigData (2021)
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams. CoRR (2021)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. ICDE (2021)
Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
FARF: A Fair and Adaptive Random Forests Classifier. PAKDD (2) (2021)
Maroua Bahri, Albert Bifet, João Gama, Heitor Murilo Gomes, Silviu Maniu
Data stream analysis: Foundations, major tasks and tools. WIREs Data Mining Knowl. Discov. 11 (3) (2021)
Yunzhe Jia, Eibe Frank, Bernhard Pfahringer, Albert Bifet, Nick Lim
Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality. ECML/PKDD (2) (2021)
Maroua Bahri, Albert Bifet
Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams. DS (2021)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification. DSAA (2021)
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection. CoRR (2021)
Md. Mahbub Alam, Luís Torgo, Albert Bifet
A Survey on Spatio-temporal Data Analytics Systems. CoRR (2021)
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
River: machine learning for streaming data in Python. J. Mach. Learn. Res. 22 (2021)
Natalia Mordvanyuk, Beatriz López, Albert Bifet
vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining. Expert Syst. Appl. 168 (2021)
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet
S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams. DEBS (2021)
Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera
CURIE: a cellular automaton for concept drift detection. Data Min. Knowl. Discov. 35 (6) (2021)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Improving the performance of bagging ensembles for data streams through mini-batching. Inf. Sci. 580 (2021)
Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho
Fast and lightweight binary and multi-branch Hoeffding Tree Regressors. ICDM (Workshops) (2021)
José del Campo-Ávila, Abdelatif Takilalte, Albert Bifet, Llanos Mora López
Binding data mining and expert knowledge for one-day-ahead prediction of hourly global solar radiation. Expert Syst. Appl. 167 (2021)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. Data Min. Knowl. Discov. 35 (3) (2021)
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs. Fundam. Informaticae 182 (3) (2021)
João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling. RecSys (2021)
Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
FARF: A Fair and Adaptive Random Forests Classifier. CoRR (2021)
Eva García-Martín, Albert Bifet, Niklas Lavesson
Energy modeling of Hoeffding tree ensembles. Intell. Data Anal. 25 (1) (2021)
Einav Peretz-Andersson, Niklas Lavesson, Albert Bifet, Patrick Mikalef
AI Transformation in the Public Sector: Ongoing Research. SAIS (2021)
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Robert J. Durrant
Learning from evolving data streams through ensembles of random patches. Knowl. Inf. Syst. 63 (7) (2021)
Vítor Cerqueira, Luís Torgo, Carlos Soares, Albert Bifet
Model Compression for Dynamic Forecast Combination. CoRR (2021)
Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran
Challenges of Machine Learning for Data Streams in the Banking Industry. BDA (2021)
Jesus Antonanzas, Marta Arias, Albert Bifet
Sketches for Time-Dependent Machine Learning. CoRR (2021)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Improving the performance of bagging ensembles for data streams through mini-batching. CoRR (2021)
Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. LION (2020)
Paulo Cortez, Albert Bifet
Fifth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 37 (6) (2020)
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams. CoRR (2020)
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet
Unsupervised Concept Drift Detection Using a Student-Teacher Approach. DS (2020)
Albert Bifet, João Gama
IoT data stream analytics. Ann. des Télécommunications 75 (9-10) (2020)
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
Adaptive XGBoost for Evolving Data Streams. CoRR (2020)
Alessio Bernardo, Emanuele Della Valle, Albert Bifet
Incremental Rebalancing Learning on Evolving Data Streams. ICDM (Workshops) (2020)
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
Performance measures for evolving predictions under delayed labelling classification. IJCNN (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Albert Bifet