Jacob Montiel
University at Buffalo, State University of New York(US)
Publications by Year
Research Areas
Data Stream Mining Techniques, Machine Learning and Data Classification, Anomaly Detection Techniques and Applications, Topic Modeling, Text and Document Classification Technologies
Most-Cited Works
- → Scikit-Multiflow: A Multi-output Streaming Framework(2018)277 cited
- → River: machine learning for streaming data in Python(2020)159 cited
- → C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams(2020)46 cited
- → Anomaly Detection for Data Streams Based on Isolation Forest Using Scikit-Multiflow(2020)45 cited
- → Transformers for Multi-label Classification of Medical Text: An Empirical Comparison(2021)27 cited
- → On Ensemble Techniques for Data Stream Regression(2020)26 cited
- → StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications(2023)11 cited
- → Evolution-Based Online Automated Machine Learning(2022)9 cited
- → Learning Fast and Slow: A Unified Batch/Stream Framework(2018)8 cited