Alexandre Perera-Lluna

TL;DR: This technical note proposes a new strategy based on the application of the so-called peak aggregation methods (NMF Reduction, PCA Decomposition, Maximum Peak, and Spectrum Mean) to take advantage of the variable collinearity and solve the issue of high variable collInearity.

TL;DR: This work proposes software for performing data simulations in the machine olfaction field by generating parameterized sensor array data, and introduces the concept of a virtual sensor array which can be used as a data generation tool.

TL;DR: Multiview extensions of four well-known pattern recognition methods are proposed here, including multiview t-distributed stochastic neighbour embedding,multiview multidimensional scaling, and multivView minimum curvilinearity embedding as well as a multivview spectral clustering method.

TL;DR: An analysis of the predictability of subcellular locations is performed by using simple pattern recognition techniques in an attempt to capture the real dimensions of the problem at hand.

TL;DR: In this paper , the authors investigated the perception of cruising during these outbreaks by analyzing the tweets on cruising using Natural Language Processing (NLP) and found a prevalent negative sentiment in most of the analyzed tweets, while the criticisms directed at the cruise industry were based on perceptions and stereotypes of the industry before the pandemic.