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2020 – today
- 2023
[c18]Mariam Barry, Jacob Montiel, Albert Bifet, Sameer Wadkar, Nikolay Manchev
, Max Halford, Raja Chiky, Saad El Jaouhari, Katherine B. Shakman, Joudi Al Fehaily, Fabrice Le Deit, Vinh-Thuy Tran, Eric Guerizec:
StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications. ICDE 2023: 3508-3521- 2022
- [c17]Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Predicting COVID-19 Patient Shielding: A Comprehensive Study. AI 2022: 332-343 - [c16]Mariam Barry, Albert Bifet, Raja Chiky, Saad El Jaouhari, Jacob Montiel, Aissa El Ouafi, Eric Guerizec:
Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network. IEEE Big Data 2022: 2190-2197 - [c15]Mariam Barry, Saad El Jaouhari, Albert Bifet, Jacob Montiel, Eric Guerizec, Raja Chiky:
StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams. IEEE Big Data 2022: 2198-2205 - [c14]Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel:
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels. ICANN (2) 2022: 209-221 - [c13]Jacob Montiel, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet:
Online Clustering: Algorithms, Evaluation, Metrics, Applications and Benchmarking. KDD 2022: 4808-4809 - [c12]Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet:
Evolution-Based Online Automated Machine Learning. PAKDD (1) 2022: 472-484 - 2021
- [j2]Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet:
River: machine learning for streaming data in Python. J. Mach. Learn. Res. 22: 110:1-110:8 (2021) - [c11]Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Transformers for Multi-label Classification of Medical Text: An Empirical Comparison. AIME 2021: 114-123 - [c10]Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran:
Challenges of Machine Learning for Data Streams in the Banking Industry. BDA 2021: 106-118 - [c9]Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho:
Fast and lightweight binary and multi-branch Hoeffding Tree Regressors. ICDM (Workshops) 2021: 380-388 - [i6]Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Predicting COVID-19 Patient Shielding: A Comprehensive Study. CoRR abs/2110.00183 (2021) - [i5]Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel:
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents. CoRR abs/2112.01718 (2021) - 2020
- [c8]Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle:
C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams. IEEE BigData 2020: 483-492 - [c7]Maurras Ulbricht Togbe, Mariam Barry, Aliou Boly, Yousra Chabchoub, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran:
Anomaly Detection for Data Streams Based on Isolation Forest Using Scikit-Multiflow. ICCSA (4) 2020: 15-30 - [c6]Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet:
On Ensemble Techniques for Data Stream Regression. IJCNN 2020: 1-8 - [c5]Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet:
Adaptive XGBoost for Evolving Data Streams. IJCNN 2020: 1-8 - [c4]Jacob Montiel:
Learning from evolving data streams. SciPy 2020: 70-77 - [i4]Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes. CoRR abs/2004.00430 (2020) - [i3]Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet:
Adaptive XGBoost for Evolving Data Streams. CoRR abs/2005.07353 (2020) - [i2]Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet:
River: machine learning for streaming data in Python. CoRR abs/2012.04740 (2020)
2010 – 2019
- 2018
- [j1]Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scikit-Multiflow: A Multi-output Streaming Framework. J. Mach. Learn. Res. 19: 72:1-72:5 (2018) - [c3]Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem:
Learning Fast and Slow: A Unified Batch/Stream Framework. IEEE BigData 2018: 1065-1072 - [c2]Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scalable Model-Based Cascaded Imputation of Missing Data. PAKDD (3) 2018: 64-76 - [i1]Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scikit-Multiflow: A Multi-output Streaming Framework. CoRR abs/1807.04662 (2018) - 2017
- [c1]Jacob Montiel, Albert Bifet, Talel Abdessalem:
Predicting over-indebtedness on batch and streaming data. IEEE BigData 2017: 1504-1513
Coauthor Index
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