Preprocessing data in a reproducible and robust way is one of the current challenges in untargeted metabolomics workflows. Data curation in liquid chromatography–mass spectrometry (LC–MS) involves the removal of biologically ...

A new optimization strategy for multivariate partial-least-squares (PLS) regression analysis is described. It was achieved by integrating three efficient strategies to improve PLS calibration models: (1) variable selection ...

Geo-referenced textual data has been the subject of multiple investigations, by providing opportunities to better understand certain phenomena according to the content that is shared, either on-line such as social networks, ...

Sentiment Analysis at Document Level is a well-known problem in Natural Language Processing (NLP), being considered as a reference in NLP, over which new architectures and models are tested in order to compare metrics that ...

Purpose: Autonomic nervous system (ANS) activity can be non-invasively estimated from the heart rate variability (HRV) signal obtained from the electrocardiogram (ECG). The aim of this work is to find useful parameters ...

This work proposes a quantum representation for improvement of data discrimination power, transforming a non linearly separable problem into a linearly separable problem. This methodology proposed here can be naturally ...