| 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 | 245 | 2018 |
| River: machine learning for streaming data in Python J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ... | 43 | 2021 |
| 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 | 26 | 2020 |
| 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 International Conference on Computational Science and Its Applications, 15-30, 2020 | 24 | 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 | 10 | 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 | 10 | 2020 |
| 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 |
| 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 | 5 | 2018 |
| Transformers for multi-label classification of medical text: an empirical comparison V Yogarajan, J Montiel, T Smith, B Pfahringer International Conference on Artificial Intelligence in Medicine, 114-123, 2021 | 4 | 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 | 4 | 2020 |
| 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 Pacific-Asia Conference on Knowledge Discovery and Data Mining, 64-76, 2018 | 2 | 2018 |
| Predicting COVID-19 Patient Shielding: A Comprehensive Study V Yogarajan, J Montiel, T Smith, B Pfahringer Australasian Joint Conference on Artificial Intelligence, 332-343, 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 |
| Prototype-based intraclass pose recognition of partial 3D scans J Montiel, H Laga, M Nakajima | 1 | 2009 |
| Evolution-Based Online Automated Machine Learning C Kulbach, J Montiel, M Bahri, M Heyden, A Bifet Pacific-Asia Conference on Knowledge Discovery and Data Mining, 472-484, 2022 | | 2022 |
| Fast and lightweight binary and multi-branch Hoeffding Tree Regressors SM Mastelini, J Montiel, HM Gomes, A Bifet, B Pfahringer, AC de Carvalho 2021 International Conference on Data Mining Workshops (ICDMW), 380-388, 2021 | | 2021 |
| Challenges of Machine Learning for Data Streams in the Banking Industry M Barry, A Bifet, R Chiky, J Montiel, VT Tran International Conference on Big Data Analytics, 106-118, 2021 | | 2021 |
| Transformers for Multi-label Classification of Medical Text: An Empirical Comparison B Pfahringer Artificial Intelligence in Medicine: 19th International Conference on …, 2021 | | 2021 |
| Fast and slow machine learning J Montiel López Paris Saclay, 2019 | | 2019 |
Albert BifetTélécom ParisTech & University of WaikatoDirección de correo verificada de telecom-paristech.fr
