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Jacob Montiel
Jacob Montiel
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Scikit-multiflow: A multi-output streaming framework
J Montiel, J Read, A Bifet, T Abdessalem
Journal of Machine Learning Research 19 (72), 1-5, 2018
4052018
River: machine learning for streaming data in python
J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ...
Journal of Machine Learning Research 22 (110), 1-8, 2021
2152021
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
522020
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
512020
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
352020
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
212021
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
212020
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
132018
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
112020
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
112017
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
72022
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
5*2018
StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications
M Barry, J Montiel, A Bifet, S Wadkar, N Manchev, M Halford, R Chiky, ...
2023 IEEE 39th International Conference on Data Engineering (ICDE), 3508-3521, 2023
4*2023
Online clustering: Algorithms, evaluation, metrics, applications and benchmarking
J Montiel, HA Ngo, MH Le-Nguyen, A Bifet
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
42022
Challenges of machine learning for data streams in the banking industry
M Barry, A Bifet, R Chiky, J Montiel, VT Tran
Big Data Analytics: 9th International Conference, BDA 2021, Virtual Event …, 2021
42021
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
32022
Learning from evolving data streams
J Montiel
19th Python in Science Conference, 70-77, 2020
32020
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
22023
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
International Conference on Artificial Neural Networks, 209-221, 2022
22022
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
22022
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Artikelen 1–20