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Jacob Montiel
Jacob Montiel
Dirección de correo verificada de amazon.com
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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
3052018
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
772021
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
392020
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
362020
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
162020
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
122020
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
102018
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
72017
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
62021
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
62020
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
52021
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
22022
Learning from evolving data streams
J Montiel
19th Python in Science Conference, 70-77, 2020
22020
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
22018
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
12023
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
12022
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
12022
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
12021
Transformers for Multi-label Classification of Medical Text: An Empirical Comparison
B Pfahringer
Artificial Intelligence in Medicine: 19th International Conference on …, 2021
12021
New zealand open environmental science data sets
NJS Lim, J Montiel, A Bifet
12021
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Artículos 1–20