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ORCIDAlbert Bifet
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- affiliation: University of Waikato, Hamilton, New Zealand
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2020 – today
- 2025
[j72]Zijing Zhang
, Vimal Kumar, Bernhard Pfahringer, Albert Bifet:
Ai-enabled automated common vulnerability scoring from common vulnerabilities and exposures descriptions. Int. J. Inf. Sec. 24(1): 16 (2025)- 2024
- [j71]Abdul Wahid, Mounira Msahli, Albert Bifet, Gérard Memmi:
NFA: A neural factorization autoencoder based online telephony fraud detection. Digit. Commun. Networks 10(1): 158-167 (2024) - [j70]Fabrício Ceschin, Marcus Botacin, Albert Bifet, Bernhard Pfahringer, Luiz S. Oliveira, Heitor Murilo Gomes, André Grégio:
Machine Learning (In) Security: A Stream of Problems. DTRAP 5(1): 9:1-9:32 (2024) - [j69]Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
Gradient boosted trees for evolving data streams. Mach. Learn. 113(5): 3325-3352 (2024) - [c157]Ayman Chaouki, Jesse Read, Albert Bifet:
Online Learning of Decision Trees with Thompson Sampling. AISTATS 2024: 2944-2952 - [c156]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 - [c155]Filippo Leveni, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Giacomo Boracchi:
Online Isolation Forest. ICML 2024 - [c154]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:
Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme. IJCAI 2024: 7314-7322 - [c153]Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh:
Recurrent Concept Drifts on Data Streams. IJCAI 2024: 8029-8037 - [c152]Jack Julian, Yun Sing Koh, Albert Bifet:
Sketch-Based Replay Projection for Continual Learning. KDD 2024: 1325-1335 - [c151]Heitor Murilo Gomes, Albert Bifet:
Practical Machine Learning for Streaming Data. KDD 2024: 6418-6419 - [c150]Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
Adaptive Prediction Interval for Data Stream Regression. PAKDD (3) 2024: 130-141 - [c149]Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet:
Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis. PRICAI (5) 2024: 91-97 - [e27]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14941, Springer 2024, ISBN 978-3-031-70340-9 [contents] - [e26]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14942, Springer 2024, ISBN 978-3-031-70343-0 [contents] - [e25]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14943, Springer 2024, ISBN 978-3-031-70351-5 [contents] - [e24]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14944, Springer 2024, ISBN 978-3-031-70358-4 [contents] - [e23]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14945, Springer 2024, ISBN 978-3-031-70361-4 [contents] - [e22]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14946, Springer 2024, ISBN 978-3-031-70364-5 [contents] - [e21]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14947, Springer 2024, ISBN 978-3-031-70367-6 [contents] - [e20]Albert Bifet, Povilas Daniusis, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indre Zliobaite:
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. Lecture Notes in Computer Science 14948, Springer 2024, ISBN 978-3-031-70370-6 [contents] - [e19]Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk:
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. Lecture Notes in Computer Science 14949, Springer 2024, ISBN 978-3-031-70377-5 [contents] - [e18]Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk:
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. Lecture Notes in Computer Science 14950, Springer 2024, ISBN 978-3-031-70380-5 [contents] - [i44]Ayman Chaouki, Jesse Read, Albert Bifet:
Online Learning of Decision Trees with Thompson Sampling. CoRR abs/2404.06403 (2024) - [i43]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 abs/2405.17222 (2024) - [i42]Ayman Chaouki, Jesse Read, Albert Bifet:
Branches: A Fast Dynamic Programming and Branch & Bound Algorithm for Optimal Decision Trees. CoRR abs/2406.02175 (2024) - [i41]Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet:
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams. CoRR abs/2408.09324 (2024) - [i40]Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet:
Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis. CoRR abs/2408.16187 (2024) - 2023
- [j68]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): 29758-29780 (2023) - [j67]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): 75:1-75:42 (2023) - [j66]Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Vítor Cerqueira, Albert Bifet:
Towards time-evolving analytics: Online learning for time-dependent evolving data streams. Data Sci. 6(1-2): 1-16 (2023) - [j65]Paulo Cortez, Albert Bifet:
Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence. Expert Syst. J. Knowl. Eng. 40(10) (2023) - [j64]Jesus Antonanzas, Yunzhe Jia, Eibe Frank, Albert Bifet, Bernhard Pfahringer:
teex: A toolbox for the evaluation of explanations. Neurocomputing 555: 126642 (2023) - [j63]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): 6794-6802 (2023) - [j62]Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo:
STUDD: a student-teacher method for unsupervised concept drift detection. Mach. Learn. 112(11): 4351-4378 (2023) - [j61]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): 107:1-107:36 (2023) - [j60]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): 3038-3054 (2023) - [c148]Alessio Bernardo, Emanuele Della Valle, Albert Bifet:
Choosing the Right Time to Learn Evolving Data Streams. IEEE Big Data 2023: 5156-5165 - [c147]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: 4038-4042 - [c146]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: 149-159 - [c145]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: 3508-3521 - [c144]Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet:
FALL: A Modular Adaptive Learning Platform for Streaming Data. ICDE 2023: 3619-3622 - [c143]Mariam Barry, Albert Bifet, Jean-Luc Billy:
StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production. ICSE-SEIP 2023: 134-137 - [c142]Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
Survey on Online Streaming Continual Learning. IJCAI 2023: 6628-6637 - [c141]Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang:
FG2AN: Fairness-Aware Graph Generative Adversarial Networks. ECML/PKDD (2) 2023: 259-275 - [c140]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: 1272-1273 - [c139]Martha Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano:
Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. SAC 2023: 390-397 - [e17]Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, Pedro H. Abreu:
Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings. Lecture Notes in Computer Science 14276, Springer 2023, ISBN 978-3-031-45274-1 [contents] - [e16]João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet:
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. CEUR Workshop Proceedings 3549, CEUR-WS.org 2023 [contents] - [e15]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:
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. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents] - [e14]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:
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. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents] - [i39]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 abs/2302.08017 (2023) - [i38]Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek:
BELLA: Black box model Explanations by Local Linear Approximations. CoRR abs/2305.11311 (2023) - [i37]Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CoRR abs/2310.20052 (2023) - 2022
- [j59]Md. Mahbub Alam, Luís Torgo, Albert Bifet:
A Survey on Spatio-temporal Data Analytics Systems. ACM Comput. Surv. 54(10s): 219:1-219:38 (2022) - [j58]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): 566-619 (2022) - [j57]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): 2006-2032 (2022) - [j56]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: 117517 (2022) - [j55]Ioan Petri, Ioan Chirila, Heitor Murilo Gomes, Albert Bifet, Omer F. Rana:
Resource-Aware Edge-Based Stream Analytics. IEEE Internet Comput. 26(4): 79-88 (2022) - [j54]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: 702-721 (2022) - [j53]Natalia Mordvanyuk, Beatriz López, Albert Bifet:
TA4L: Efficient temporal abstraction of multivariate time series. Knowl. Based Syst. 244: 108554 (2022) - [j52]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): 3489-3523 (2022) - [j51]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): 12-31 (2022) - [j50]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): 503-507 (2022) - [c138]Minh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet:
Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams. IEEE Big Data 2022: 1866-1873 - [c137]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. IEEE Big Data 2022: 2190-2197 - [c136]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. IEEE Big Data 2022: 2198-2205 - [c135]Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Adaptive Neural Networks for Online Domain Incremental Continual Learning. DS 2022: 89-103 - [c134]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: 1-10 - [c133]Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Adaptive Online Domain Incremental Continual Learning. ICANN (1) 2022: 491-502 - [c132]Thomas Guyet, Wenbin Zhang, Albert Bifet:
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences. ICCS (1) 2022: 460-472 - [c131]Dihia Boulegane, Vitor Cerquiera, Albert Bifet:
Adaptive Model Compression of Ensembles for Evolving Data Streams Forecasting. IJCNN 2022: 1-8 - [c130]Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet:
Online Hyperparameter Optimization for Streaming Neural Networks. IJCNN 2022: 1-9 - [c129]Jacob Montiel, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet:
Online Clustering: Algorithms, Evaluation, Metrics, Applications and Benchmarking. KDD 2022: 4808-4809 - [c128]Peng Yu, Albert Bifet, Jesse Read, Chao Xu:
Linear tree shap. NeurIPS 2022 - [c127]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 - [c126]Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet:
Evolution-Based Online Automated Machine Learning. PAKDD (1) 2022: 472-484 - [c125]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: 661-662 - [c124]Zijing Zhang, Vimal Kumar, Michael Mayo, Albert Bifet:
Assessing Vulnerability from Its Description. UbiSec 2022: 129-143 - [e13]João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska:
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. CEUR Workshop Proceedings 3303, CEUR-WS.org 2022 [contents] - [i36]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 abs/2201.05156 (2022) - [i35]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 abs/2201.06205 (2022) - [i34]Thomas Guyet, Wenbin Zhang, Albert Bifet:
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence. CoRR abs/2201.11650 (2022) - [i33]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 abs/2204.13111 (2022) - [i32]Eva García-Martín, Albert Bifet, Niklas Lavesson, Rikard König, Henrik Linusson:
Green Accelerated Hoeffding Tree. CoRR abs/2205.03184 (2022) - [i31]Peng Yu, Chao Xu, Albert Bifet, Jesse Read:
Linear TreeShap. CoRR abs/2209.08192 (2022) - [i30]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 abs/2209.13917 (2022) - 2021
- [j49]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): 796-836 (2021) - [j48]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): 2655-2678 (2021) - [j47]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: 114147 (2021) - [j46]Natalia Mordvanyuk, Beatriz López, Albert Bifet:
vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining. Expert Syst. Appl. 168: 114276 (2021) - [j45]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs. Fundam. Informaticae 182(3): 219-242 (2021) - [j44]Eva García-Martín, Albert Bifet, Niklas Lavesson:
Energy modeling of Hoeffding tree ensembles. Intell. Data Anal. 25(1): 81-104 (2021) - [j43]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: 260-282 (2021) - [j42]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: 110:1-110:8 (2021) - [j41]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): 1597-1625 (2021) - [j40]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) - [c123]Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran:
Challenges of Machine Learning for Data Streams in the Banking Industry. BDA 2021: 106-118 - [c122]Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet:
Kalman Filtering for Learning with Evolving Data Streams. IEEE BigData 2021: 5337-5346 - [c121]Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams. DEBS 2021: 103-113 - [c120]Maroua Bahri, Albert Bifet:
Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams. DS 2021: 122-137 - [c119]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: 1-2 - [c118]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: 1056-1067 - [c117]Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek:
Confident Interpretations of Black Box Classifiers. IJCNN 2021: 1-8 - [c116]