Jacob Montiel

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 26

Top Topics

Banking Industry

Anomaly Detection

Top Venues

J. Mach. Learn. Res.

Publications

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)
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. Big Data (2022)
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. Big Data (2022)
Jacob Montiel, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet
Online Clustering: Algorithms, Evaluation, Metrics, Applications and Benchmarking. KDD (2022)
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
Predicting COVID-19 Patient Shielding: A Comprehensive Study. AI (2022)
Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet
Evolution-Based Online Automated Machine Learning. PAKDD (1) (2022)
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)
Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents. CoRR (2021)
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 (2021)
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
Predicting COVID-19 Patient Shielding: A Comprehensive Study. CoRR (2021)
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)
Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran
Challenges of Machine Learning for Data Streams in the Banking Industry. BDA (2021)
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
Transformers for Multi-label Classification of Medical Text: An Empirical Comparison. AIME (2021)
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
Adaptive XGBoost for Evolving Data Streams. CoRR (2020)
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)
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 (2020)
Jacob Montiel
Learning from evolving data streams. SciPy (2020)
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)
Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet
On Ensemble Techniques for Data Stream Regression. IJCNN (2020)
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 (2020)
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
Adaptive XGBoost for Evolving Data Streams. IJCNN (2020)
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
Scikit-Multiflow: A Multi-output Streaming Framework. J. Mach. Learn. Res. 19 (2018)
Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem
Learning Fast and Slow: A Unified Batch/Stream Framework. IEEE BigData (2018)
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
Scalable Model-Based Cascaded Imputation of Missing Data. PAKDD (3) (2018)
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
Scikit-Multiflow: A Multi-output Streaming Framework. CoRR (2018)
Jacob Montiel, Albert Bifet, Talel Abdessalem
Predicting over-indebtedness on batch and streaming data. IEEE BigData (2017)