Until now, the over-exploitation of wild resources has increased growing concern over the quality of wild medicinal plants. This led to the necessity of developing a rapid method for the evaluation of ...

With resting-state functional MRI (rs-fMRI) there are a variety of post-processing methods that can be used to quantify the human brain connectome. However, there is also a choice of which ...

Abstract: Many supervised learning approaches that adapt to changes in data distribution over time (e.g., concept drift) have been developed. The majority of them assume that the data comes already ...

Abstract: Preprocessing electroencephalographic (EEG) signals during computer-mediated Cognitive Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly influences ...

In the realm of data science and machine learning, the adage "garbage in, garbage out" holds true. The quality of your data greatly influences the effectiveness of your models. Raw data often contains ...

This repository contains the code for preprocessing magnetic resonance imaging (MRI) scans of glioblastomas as described in the following paper: The Río Hortega University Hospital Glioblastoma ...