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Jacob Montiel
Jacob Montiel
Dirección de correo verificada de waikato.ac.nz
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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
2452018
River: machine learning for streaming data in Python
J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ...
432021
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
262020
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
242020
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
102020
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
102020
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
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
52018
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
42021
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
42020
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
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 64-76, 2018
22018
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
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
Prototype-based intraclass pose recognition of partial 3D scans
J Montiel, H Laga, M Nakajima
12009
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
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Artículos 1–20