Jacob Montiel

According to our database, Jacob Montiel authored at least 22 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications.

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

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Evolution-Based Online Automated Machine Learning.

Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Online Clustering: Algorithms, Evaluation, Metrics, Applications and Benchmarking.

Jacob Montiel, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels.

Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams.

Mariam Barry, Saad El Jaouhari, Albert Bifet, Jacob Montiel, Eric Guerizec, Raja Chiky

Proceedings of the IEEE International Conference on Big Data, 2022

Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network.

Mariam Barry, Albert Bifet, Raja Chiky, Saad El Jaouhari, Jacob Montiel, Aissa El Ouafi, Eric Guerizec

Proceedings of the IEEE International Conference on Big Data, 2022

Predicting COVID-19 Patient Shielding: A Comprehensive Study.

Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021

River: machine learning for streaming data in Python.

Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet

J. Mach. Learn. Res., 2021

Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents.

Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel

CoRR, 2021

Fast and lightweight binary and multi-branch Hoeffding Tree Regressors.

Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho

Proceedings of the 2021 International Conference on Data Mining, 2021

Challenges of Machine Learning for Data Streams in the Banking Industry.

Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran

Proceedings of the Big Data Analytics - 9th International Conference, 2021

Transformers for Multi-label Classification of Medical Text: An Empirical Comparison.

Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes.

Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer

CoRR, 2020

Learning from evolving data streams.

Jacob Montiel

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

Adaptive XGBoost for Evolving Data Streams.

Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On Ensemble Techniques for Data Stream Regression.

Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Anomaly Detection for Data Streams Based on Isolation Forest Using Scikit-Multiflow.

Maurras Ulbricht Togbe, Mariam Barry, Aliou Boly, Yousra Chabchoub, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams.

Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

Scikit-Multiflow: A Multi-output Streaming Framework.

Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem

J. Mach. Learn. Res., 2018

Scalable Model-Based Cascaded Imputation of Missing Data.

Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Learning Fast and Slow: A Unified Batch/Stream Framework.

Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Predicting over-indebtedness on batch and streaming data.

Jacob Montiel, Albert Bifet, Talel Abdessalem

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017