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Unlocking the Potential of Magnetotactic Bacteria as Magnetic Hyperthermia Agents
(Wiley, 2019-10)
Magnetotactic bacteria are aquatic microorganisms that internally biomineralize chains of magnetic nanoparticles (called magnetosomes) and use them as a compass. Here it is shown that magnetotactic bacteria of the strain ...
Detection of Sarcasm and Nastiness: New Resources for Spanish Language
(Springer, 2018-06-29)
The main goal of this work is to provide the cognitive computing community with valuable resources to analyze and simulate the intentionality and/or emotions embedded in the language employed in social media. Specifically, ...
User-Aware Dialogue Management Policies over Attributed Bi-Automata
(Springer, 2018-07-30)
Designing dialogue policies that take user behavior into account is complicated due to user vari- ability and behavioral uncertainty. Attributed Prob- abilistic Finite State Bi-Automata (A-PFSBA) have proven to be a promising ...
Regularized Neural User Model for Goal-Oriented Spoken Dialogue Systems
(Springer, 2018-08-02)
User simulation is widely used to generate artificial dialogues in order to train statistical spoken dialogue systems and perform evaluations. This paper presents a neural network approach for user modeling that exploits ...
The EMPATHIC Project: Mid-term Achievements
(ACM Digital Library, 2019-08-18)
The goal of active aging is to promote changes in the elderly community so as to maintain an active, independent and socially-engaged lifestyle. Technological advancements currently provide the necessary tools to foster ...
Tracking the Expression of Annoyance in Call Centers
(Springer, 2018-08-26)
Machine learning researchers have dealt with the identification of emo- tional cues from speech since it is research domain showing a large number of po- tential applications. Many acoustic parameters have been analyzed ...
Bi-modal annoyance level detection from speech and text
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2018-09)
The main goal of this work is the identification of emotional hints from speech. Machine learning researchers have analysed sets of acoustic parameters as potential cues for the identification of discrete emotional categories ...
Stability and Limit Oscillations of a Control Event-Based Sampling Criterion
(Hindawi Publishing Corporation, 2012)
This paper investigates the presence of limit oscillations in an adaptive sampling system. The basic sampling criterion operates in the sense that each next sampling occurs when the absolute difference of the signal amplitude ...
Emotion Detection from Speech and Text
(International Speech Communication Association, 2018-11-21)
The main goal of this work is to carry out automatic emo-tion detection from speech by using both acoustic and textualinformation. For doing that a set of audios were extracted froma TV show were different guests discuss ...