Jacob Montiel

26 papers A* 2B 5Misc 1Journal 8Unranked 10
YearRankTypeTitle / Venue / Authors
2023 A* conf
StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications.
ICDE
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
2022 — conf
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels.
ICANN (2)
Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel
2022 — conf
Evolution-Based Online Automated Machine Learning.
PAKDD (1)
Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet
2022 A* conf
Online Clustering: Algorithms, Evaluation, Metrics, Applications and Benchmarking.
KDD
Jacob Montiel, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet
2022 Misc conf
Predicting COVID-19 Patient Shielding: A Comprehensive Study.
AI
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2022 B conf
Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network.
IEEE Big Data
Mariam Barry, Albert Bifet, Raja Chiky, Saad El Jaouhari, Jacob Montiel, Aissa El Ouafi, Eric Guerizec
2022 B conf
StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams.
IEEE Big Data
Mariam Barry, Saad El Jaouhari, Albert Bifet, Jacob Montiel, Eric Guerizec, Raja Chiky
2021 — conf
Challenges of Machine Learning for Data Streams in the Banking Industry.
BDA
Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran
2021 — conf
Fast and lightweight binary and multi-branch Hoeffding Tree Regressors.
ICDM (Workshops)
Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho
2021 J jnl
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents.
CoRR
Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel
2021 J jnl
Predicting COVID-19 Patient Shielding: A Comprehensive Study.
CoRR
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2021 J jnl
River: machine learning for streaming data in Python.
J. Mach. Learn. Res.
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
2021 B conf
Transformers for Multi-label Classification of Medical Text: An Empirical Comparison.
AIME
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2020 B conf
Adaptive XGBoost for Evolving Data Streams.
IJCNN
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
2020 J jnl
Adaptive XGBoost for Evolving Data Streams.
CoRR
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
2020 — conf
Anomaly Detection for Data Streams Based on Isolation Forest Using Scikit-Multiflow.
ICCSA (4)
Maurras Ulbricht Togbe, Mariam Barry, Aliou Boly, Yousra Chabchoub, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran
2020 — conf
C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams.
IEEE BigData
Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle
2020 — conf
Learning from evolving data streams.
SciPy
Jacob Montiel
2020 B conf
On Ensemble Techniques for Data Stream Regression.
IJCNN
Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet
2020 J jnl
River: machine learning for streaming data in Python.
CoRR
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
2020 J jnl
Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes.
CoRR
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2018 — conf
Learning Fast and Slow: A Unified Batch/Stream Framework.
IEEE BigData
Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem
2018 — conf
Scalable Model-Based Cascaded Imputation of Missing Data.
PAKDD (3)
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
2018 J jnl
Scikit-Multiflow: A Multi-output Streaming Framework.
CoRR
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
2018 J jnl
Scikit-Multiflow: A Multi-output Streaming Framework.
J. Mach. Learn. Res.
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
2017 — conf
Predicting over-indebtedness on batch and streaming data.
IEEE BigData
Jacob Montiel, Albert Bifet, Talel Abdessalem