Jean Paul Barddal
Pontifícia Universidade Católica do Paraná(BR)
Publications by Year
Research Areas
Data Stream Mining Techniques, Time Series Analysis and Forecasting, Anomaly Detection Techniques and Applications, Machine Learning and Data Classification, Imbalanced Data Classification Techniques
Most-Cited Works
- → Adaptive random forests for evolving data stream classification(2017)740 cited
- → A Survey on Ensemble Learning for Data Stream Classification(2017)567 cited
- → Machine learning for streaming data(2019)249 cited
- → A survey on feature drift adaptation: Definition, benchmark, challenges and future directions(2016)122 cited
- → A Survey on Concept Drift in Process Mining(2021)101 cited
- → An explainable machine learning approach for student dropout prediction(2023)60 cited
- → A systematic review on computer vision-based parking lot management applied on public datasets(2022)48 cited
- → Lessons learned from data stream classification applied to credit scoring(2020)46 cited
- → Merit-guided dynamic feature selection filter for data streams(2018)38 cited
- → Boosting decision stumps for dynamic feature selection on data streams(2019)35 cited