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Subsurface chemical nanoidentification by nano-FTIR spectroscopy
(Nature, 2020-07-03)
Nano-FTIR spectroscopy based on Fourier transform infrared near-field spectroscopy allows for label-free chemical nanocharacterization of organic and inorganic composite surfaces. The potential capability for subsurface ...
Spontaneous Zero-Field Cooling Exchange Bias in Ni–Co–Mn–Sn Metamagnetic Heusler Sputtered Film
(MDPI, 2021-08-26)
Metamagnetic off-stoichiometric Heusler alloys are actively being investigated because of their great potential as magnetocaloric materials. These properties are intimately related to the nanoscale homogeneity of their ...
Enhanced mass sensitivity in novel magnetoelastic resonators geometries for advanced detection systems
(Elsevier, 2019-10-01)
Acoustic wave based sensors have a major impact in the detection of low concentration of biological and chemical agents. Magnetoelastic resonator platforms are particularly interesting due to their low cost and wireless ...
Accurate Determination of the Q Quality Factor in Magnetoelastic Resonant Platforms for Advanced Biological Detection
(MDPI, 2018-03)
The main parameters of magnetoelastic resonators in the detection of chemical (i.e., salts, gases, etc.) or biological (i.e., bacteria, phages, etc.) agents are the sensitivity S (or external agent change magnitude per Hz ...
Analysis of the interaction between elderly people and a simulated virtual coach
(Springer, 2020-12)
The EMPATHIC project develops and validates new interaction paradigms for personalized virtual coaches (VC) to promote healthy and independent aging. To this end, the work presented in this paper is aimed to analyze the ...
Automatic Identification of Emotional Information in Spanish TV Debates and Human-Machine Interactions
(MDPI, 2022-02-11)
Automatic emotion detection is a very attractive field of research that can help build more natural human–machine interaction systems. However, several issues arise when real scenarios are considered, such as the tendency ...
A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly
(MDPI, 2019-07-11)
This paper presents a dialogue act taxonomy designed for the development of a conversational agent for elderly. The main goal of this conversational agent is to improve life quality of the user by means of coaching sessions ...
A Differentiable Generative Adversarial Network for Open Domain Dialogue
(2019-04)
This work presents a novel methodology to train open domain neural dialogue systems within the framework of Generative Adversarial Networks with gradient-based optimization methods. We avoid the non-differentiability related ...
Corrective Focus Detection in Italian Speech Using Neural Networks
(Óbuda University, 2018-11)
The corrective focus is a particular kind of prosodic prominence where the speaker is intended to correct or to emphasize a concept. This work develops an Artificial Cognitive System (ACS) based on Recurrent ...
Can Spontaneous Emotions be Detected from Speech on TV Political Debates?
(IEEE, 2019)
Decoding emotional states from multimodal signals is an increasingly active domain, within the framework of affective computing, which aims to a better understanding of Human-Human Communication as well as to improve Human- ...