| Scikit-multiflow: A multi-output streaming framework J Montiel, J Read, A Bifet, T Abdessalem The Journal of Machine Learning Research 19 (1), 2915-2914, 2018 | 305 | 2018 |
| River: machine learning for streaming data in python J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ... The Journal of Machine Learning Research 22 (1), 4945-4952, 2021 | 77 | 2021 |
| Anomaly detection for data streams based on isolation forest using scikit-multiflow MU Togbe, M Barry, A Boly, Y Chabchoub, R Chiky, J Montiel, VT Tran Computational Science and Its Applications–ICCSA 2020: 20th International …, 2020 | 39 | 2020 |
| Adaptive XGBoost for Evolving Data Streams J Montiel, R Mitchell, E Frank, B Pfahringer, T Abdessalem, A Bifet 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 36 | 2020 |
| C-smote: Continuous synthetic minority oversampling for evolving data streams A Bernardo, HM Gomes, J Montiel, B Pfahringer, A Bifet, E Della Valle 2020 IEEE International Conference on Big Data (Big Data), 483-492, 2020 | 16 | 2020 |
| On ensemble techniques for data stream regression HM Gomes, J Montiel, SM Mastelini, B Pfahringer, A Bifet 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 12 | 2020 |
| Learning fast and slow: A unified batch/stream framework J Montiel, A Bifet, V Losing, J Read, T Abdessalem 2018 IEEE International Conference on Big Data (Big Data), 1065-1072, 2018 | 10 | 2018 |
| Predicting over-indebtedness on batch and streaming data J Montiel, A Bifet, T Abdessalem 2017 IEEE International Conference on Big Data (Big Data), 1504-1513, 2017 | 7 | 2017 |
| Transformers for multi-label classification of medical text: an empirical comparison V Yogarajan, J Montiel, T Smith, B Pfahringer Artificial Intelligence in Medicine: 19th International Conference on …, 2021 | 6 | 2021 |
| Seeing the whole patient: using multi-label medical text classification techniques to enhance predictions of medical codes V Yogarajan, J Montiel, T Smith, B Pfahringer arXiv preprint arXiv:2004.00430, 2020 | 6 | 2020 |
| River: Machine Learning for Streaming Data in Python. 2021 J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ... Availableonline: https://www. jmlr. org/papers/volume22/20-1380/20-1380. pdf …, 2021 | 5 | 2021 |
| Predicting COVID-19 Patient Shielding: A Comprehensive Study V Yogarajan, J Montiel, T Smith, B Pfahringer AI 2021: Advances in Artificial Intelligence: 34th Australasian Joint …, 2022 | 2 | 2022 |
| Learning from evolving data streams J Montiel 19th Python in Science Conference, 70-77, 2020 | 2 | 2020 |
| Scalable model-based cascaded imputation of missing data J Montiel, J Read, A Bifet, T Abdessalem Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 2 | 2018 |
| Showcasing the TAIAO project: providing resources for machine learning from images of New Zealand's natural environment N Lim, A Bifet, D Bull, E Frank, Y Jia, J Montiel, B Pfahringer Journal of the Royal Society of New Zealand 53 (1), 69-81, 2023 | 1 | 2023 |
| Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network M Barry, A Bifet, R Chiky, S El Jaouhari, J Montiel, A El Ouafi, E Guerizec 2022 IEEE International Conference on Big Data (Big Data), 2190-2197, 2022 | 1 | 2022 |
| Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels V Yogarajan, B Pfahringer, T Smith, J Montiel Artificial Neural Networks and Machine Learning–ICANN 2022: 31st …, 2022 | 1 | 2022 |
| Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents V Yogarajan, B Pfahringer, T Smith, J Montiel arXiv preprint arXiv:2112.01718, 2021 | 1 | 2021 |
| Transformers for Multi-label Classification of Medical Text: An Empirical Comparison B Pfahringer Artificial Intelligence in Medicine: 19th International Conference on …, 2021 | 1 | 2021 |
| New zealand open environmental science data sets NJS Lim, J Montiel, A Bifet | 1 | 2021 |
Albert BifetTélécom ParisTech & University of WaikatoDirección de correo verificada de telecom-paristech.fr
