A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting
Over the last two decades, the diagnosis of bankruptcy firms has become extremely
important to business owners, banks, governments, securities investors, and economic …
important to business owners, banks, governments, securities investors, and economic …
Active learning with abstaining classifiers for imbalanced drifting data streams
Learning from data streams is one of the most promising and challenging domains in
modern machine learning. Proliferating online data sources provide us access to real-time …
modern machine learning. Proliferating online data sources provide us access to real-time …
Minority oversampling for imbalanced ordinal regression
Ordinal regression naturally presents class imbalance distribution, because the samples of
the boundary classes tend to have lower appearing probability than that of the other classes …
the boundary classes tend to have lower appearing probability than that of the other classes …
Data augmentation applied to machine learning-based monitoring of a pulp and paper process
A Pereira Parente, MB de Souza Jr, A Valdman… - Processes, 2019 - mdpi.com
Industrial archived process data represent a convenient source of information for data-driven
models, such as artificial neural network (ANN), that can be used for safety and efficiency …
models, such as artificial neural network (ANN), that can be used for safety and efficiency …