Следене
Jacob Montiel
Jacob Montiel
Потвърден имейл адрес: waikato.ac.nz
Заглавие
Позовавания
Позовавания
Година
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
2592018
River: machine learning for streaming data in Python
J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ...
512021
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
272020
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
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
112020
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
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
International Conference on Artificial Intelligence in Medicine, 114-123, 2021
52021
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
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
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
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
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
New Zealand Open Environmental Science Datasets
N Lim, A Bifet, D Bull, E Frank, A Jia, J Montiel, B Pfahringer
1
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, 1-13, 2022
2022
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
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
International Conference on Artificial Neural Networks, 209-221, 2022
2022
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
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