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Albert 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] - [i45]Ayman Chaouki, Jesse Read, Albert Bifet:
Online Learning of Decision Trees with Thompson Sampling. CoRR abs/2404.06403 (2024) - [i44]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) - [i43]Ayman Chaouki, Jesse Read, Albert Bifet:
Branches: A Fast Dynamic Programming and Branch & Bound Algorithm for Optimal Decision Trees. CoRR abs/2406.02175 (2024) - [i42]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) - [i41]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) - [i40]Léa Cassé, Bernhard Pfahringer, Albert Bifet, Frédéric Magniette:
Optimizing Hyperparameters for Quantum Data Re-Uploaders in Calorimetric Particle Identification. CoRR abs/2412.12397 (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 I. 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