Adaptive fast xgboost for regression
FM de Souza, J Grando, F Baldo - Brazilian Conference on Intelligent …, 2022 - Springer
The increasing generation of data by devices, people and systems arises the need for
processing non-stationary data streams, which continuously change over time. It was …
processing non-stationary data streams, which continuously change over time. It was …
Incremental learning with neural network algorithm for the monitoring pre-convective environments using geostationary imager
Y Lee, MH Ahn, SJ Lee - Remote Sensing, 2022 - mdpi.com
Early warning of severe weather caused by intense convective weather systems is
challenging. To help such activities, meteorological satellites with high temporal and spatial …
challenging. To help such activities, meteorological satellites with high temporal and spatial …
A framework to monitor machine learning systems using concept drift detection
X Zhou, W Lo Faro, X Zhang, RS Arvapally - Business Information Systems …, 2019 - Springer
As more and more machine learning based systems are being deployed in industry,
monitoring of these systems is needed to ensure they perform in the expected way. In this …
monitoring of these systems is needed to ensure they perform in the expected way. In this …
[PDF][PDF] Log-Based Concept Drift Detection over Event Streams
JSH Guzmán - 2022 - pure.tue.nl
Process mining is an emerging field which focuses on applying data mining techniques over
business process data. Recently, with the improvements in sensoring, collection, and storing …
business process data. Recently, with the improvements in sensoring, collection, and storing …