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Now showing items 11-20 of 23

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Accurate Determination of the Q Quality Factor in Magnetoelastic Resonant Platforms for Advanced Biological Detection 

Lopes, Ana Catarina; Sagasti Sedano, Ariane; Lasheras Aransay, Andoni; Muto Foresi, Virginia; Gutiérrez Etxebarria, Jon; Kouzoudis, Dimitris; Barandiarán García, José Manuel (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 ...
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Magnetic and structural characterization of magnetite nanoparticles synthesized by magnetotactic bacteria. 

Marcano Prieto, Lourdes (2018-10-29)
Las bacterias magnetotácticas son un grupo microorganismos capaces de orientarse en presencia delcampo magnético terrestre, lo que les facilita la búsqueda de un entorno rico en nutrientes y con lascondiciones de oxígeno ...
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An Advanced Control Technique for Floating Offshore Wind Turbines Based on More Compact Barge Platforms 

Olondriz Erdozain, Joannes; Elorza, Iker; Jugo García, Josu; Alonso Quesada, Santiago; Pujana Arrese, Aron (MDPI, 2018-05)
Hydrodynamic Floating Offshore Wind Turbine (FOWT) platform specifications are typically dominated by seaworthiness and maximum operating platform-pitch angle-related requirements. However, such specifications directly ...
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User-Aware Dialogue Management Policies over Attributed Bi-Automata 

Serras, Manex; Torres Barañano, María Inés; Del Pozo, Arantza (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 ...
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Detection of Sarcasm and Nastiness: New Resources for Spanish Language 

Justo Blanco, Raquel; Alcaide Salinas, José María; Torres Barañano, María Inés; Walker, Marilyn (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, ...
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Corrective Focus Detection in Italian Speech Using Neural Networks 

López Zorrilla, Asier; De Velasco Vázquez, Mikel; Cenceschi, Sonia; Torres Barañano, María Inés (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 ...
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EMPATHIC: Empathic, Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderly 

López Zorrilla, Asier; De Velasco Vázquez, Mikel; Irastorza Manso, Jon; Olaso Fernández, Javier Mikel; Justo Blanco, Raquel; Torres Barañano, María Inés (Sociedad Española para el Procesamiento del Lenguaje Natural, 2018-09)
The EMPATHIC project will research, innovate, explore and validatenew paradigms and platforms, laying the foundation for future generations of Per-sonalised Virtual Coaches to assist elderly people living independently ...
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Structural and Magnetic Properties of Ni0.8Fe0.2/Ti Nanoscale Multilayers 

López Antón, Ricardo; González Sanz, Juan Antonio; Andrés González, Juan Pedro; Svalov, Andrey; Kurlyandskaya, Galina V. (MDPI, 2018-09-30)
The influence of the thickness of the Ni0.8Fe0.2 (Permalloy, Py) layers on the structural and magnetic properties of magnetron sputtered Py/Ti multilayers was studied. The thickness of the Py layers was varied in the ...
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Tracking the Expression of Annoyance in Call Centers 

Irastorza, Jon; Torres Barañano, María Inés (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 ...
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Bi-modal annoyance level detection from speech and text 

Justo Blanco, Raquel; Irastorza Manso, Jon; Pérez, Saioa; Torres Barañano, María Inés (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 ...
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AuthorTorres Barañano, María Inés (8)Justo Blanco, Raquel (4)Kurlyandskaya, Galina V. (4)Alonso Quesada, Santiago (3)... View MoreDepartamento (cas.)
Electricidad y electrónica (23)
Física aplicada I (1)Ingeniería Minera y Metalúrgica y Ciencia de los Materiales (1)Matemática Aplicada, Estadística e Investigación Operativa (1)Departamento (eus.)Elektrizitatea eta elektronika (23)Fisika aplikatua I (1)Matematika aplikatua eta estatistika (1)Meatze eta metalurgia ingeniaritza materialen zientzia (1)Date Issued
2018 (23)
Language(ISO)eng (23)

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