Analyzing Particularities of Sensor Datasets for Supporting Data Understanding and Preparation
Special Issue Applied Data Science and Intelligence
Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data).
AI for dating stars: a benchmarking study for gyrochronology
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
In astronomy, age is one of the most difficult stellar properties to measure, and gyrochronology is one of the most promising techniques for the task.