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Instrumented Insoles with Pressure and Acceleration Sensors

Fernando Martínez-Martí, Santiago Gonzalo Garcia Diaz, Javier Garcia Jimenez, Maria Sofia Martinez-Garcia, Antonio Martínez-Olmos, Miguel Angel Carvajal Rodriguez
2013 International Work-Conference on Bioinformatics and Biomedical Engineering  
This work presents the development of a portable, wireless activity monitoring system for the estimation of biomechanical gait parameters. The system uses a pair of instrumented insoles able to measure pressure from different points of the foot including four commercial piezoresistive pressure sensors and a three-axis accelerometer, all together integrated in the insole to determine foot forces during stance and swing phases. The system allows to analyse the data with a RF communications to a computer or reading from SD memory card.
dblp:conf/iwbbio/MartiDJGMR13 fatcat:bqnfrautxvc4bdbkzmd4blf5wq

Parasitic survey on introduced monk parakeets (Myiopsitta monachus) in Santiago, Chile

Cristóbal Briceño, Dominique Surot, Daniel González-Acuña, Francisco Javier Martínez, Fernando Fredes
2017 Revista Brasileira de Parasitologia Veterinária  
Over a period of almost four decades, the monk parakeet has been successful in establishing and dispersing in urban Santiago, although little is known about its potential impact.  ...  They were first released by private citizens in eastern Santiago in 1972 (IRIARTE et al., 2005) .  ...  Ectoparasites and endoparasites found in adult monk parakeets monachus) caught in Santiago, Chile.  ... 
doi:10.1590/s1984-29612017023 pmid:28746442 fatcat:f6r5pl6oyzggdcdy3yxhegahh4

Secure Full-Duplex Wireless Power Transfer Systems With Energy-Information Correlation

Santiago Fernandez, F. Javier Lopez-Martinez, Fernando H. Gregorio, Juan E. Cousseau
2022 IEEE Access  
doi:10.1109/access.2022.3149169 fatcat:hmptglq4qbgb3f4epaotm57qgu

SINAI at RTE-6: Personalized Page Rank Vectors and Named Entities

Arturo Montejo-Ráez, José M. Perea-Ortega, Fernando Javier Martínez Santiago, Luis Alfonso Ureña López
2010 Text Analysis Conference  
This document describes the participation of the SINAI Research Group in the 6 th challenge on Recognition of Textual Entailment (RTE). Our approach is a supervised one, by applying a learning process on the development data. The model trained was a stacking of two SVM models, each one over different attributes. One of the SVMs was trained on the distance between Personalized Page Rank vectors, and the other on Named Entities matching counts. The results obtained are low, mainly due to the
more » ... icity of the system. In any case, the use of stacking for merging different features results in a relevant increment in performance.
dblp:conf/tac/Montejo-RaezPSL10 fatcat:2rkbq5dy3jemnm3p3dctkingva

PIR Based in Explicit and Implicit Feedback

Alberto Andreu-Marín, Fernando Javier Martínez Santiago, Luis Alfonso Ureña López, Manuel Carlos Díaz-Galiano
2018 Conference and Labs of the Evaluation Forum  
Our research aim is twofold: the first one is to get leverage from the relevance feedback that the user provides over the course of every search session. In this way, we explore PIR task as a text categorization problem in order to distinguish between relevant and not relevant documents for the given user. A number of supervised machine learning algorithms has been applied in order to accomplish this task. The second one is related to implicit feedback. More concisely, time spent reading
more » ... ts and text complexity. From the point of view of text complexity, we propose the hypothesis that there are significant differences of perplexity between judged/non-judged documents by the user. We find some weak statistical evidence that points out that high perplexity and judged documents are correlated.
dblp:conf/clef/Andreu-MarinSLD18 fatcat:rersevycabh57epzigx3hgckqe

SINAI at RTE-7: Integrating Personalized Page Rank Vectors into EDITS

Arturo Montejo-Ráez, Fernando Javier Martínez Santiago, José Manuel Perea Ortega, Luis Alfonso Ureña López
2011 Text Analysis Conference  
This document describes the participation of the SINAI Research Group in the 7 th challenge on Recognition of Textual Entailment (RTE). Our approach extends the promising results obtained in the last campaing into a well know framework for textual entailment recognition known as EDITS. Although the proposed solution is modest, results encourage us in the use of Personalized Page Rank as a technique for generating weighted vectors of synsets per term in texts and applying distance metrics to
more » ... ute a value of lexical similarity between terms found in hypotheses and those in candidate texts.
dblp:conf/tac/Montejo-RaezSOL11 fatcat:sgph7wpk6rga3ll7tkovi5jgei

SINAI at WePS-3: Online Reputation Management

Miguel Angel García Cumbreras, Manuel García Vega, Fernando Javier Martínez Santiago, José M. Perea-Ortega
2010 Conference and Labs of the Evaluation Forum  
The online reputation management systems help to the consumers to make buying decisions looking for opinions in the web about many products offered by companies, also interested in the same opinions. This paper presents the system developed by the SINAI research group at the WEPS-3 task, called Online Reputation Management. Given a Twitter entry and a company name, the goal is to decide if the entry talks about this company. Our system is based on the use of linguistic information in Twitters
more » ... tries for extracting information and creating an XML data collection about companies referred in the Twitter entries. This XML collection is filled extracting information from Internet web pages, like Wikipedia, and the use of the DBpedia ontology. Using this collection and some logical rules we have developed a promising system, with a very good precision and easily extensible with the addition of new rules and other Internet resources.
dblp:conf/clef/CumbrerasVSP10 fatcat:wghrntxdnffhvdp5vy6oqk7sb4

SINAI at QA@CLEF 2007. Answer Validation Exercise

Miguel Ángel García Cumbreras, José Manuel Perea Ortega, Fernando Javier Martínez Santiago, Luis Alfonso Ureña López
2007 Conference and Labs of the Evaluation Forum  
This paper describes the rst participation of the SINAI (Intelligent Systems of Access Information) group of the University of Jaén in the AVE task of QA@CLEF 2007. We have developed a system made up of training and classication processes, that uses machine learning methods (bbr, timbl). Based on lexical features it obtains good results, a 41% of QA accuracy.
dblp:conf/clef/CumbrerasOSL07 fatcat:ctw37wbhk5dyddyfj25jxb6jga

Plataforma Web para la evaluación de la comprensión lectora aplicada a tareas de búsqueda

Javier Perea de la Casa, Fernando Javier Martínez Santiago, Miguel Ángel García Cumbreras, Manuel Carlos Díaz-Galiano
2019 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
Resumen: Presentamos una plataforma web que constituye una herramienta para poder evaluar la comprensión lectora a través de dos experimentos: un test de fluidez lectora que permitirá inferir el grado de fluidez lectora del participante y un sistema de recuperación de información interactivo, donde el participante explorará y evaluará un conjunto de documentos como relevantes o no relevantes. La cuestión que se plantea es la incidencia del nivel de fluidez lectora en la búsqueda de información.
more » ... Palabras clave: Comprensión y fluidez lectora, recuperación de información interactiva Abstract: We present a web platform that constitutes a tool to evaluate reading comprehension through two experiments: a reading fluency test that will allow inferring the degree of participant's reading fluency and an interactive information retrieval system where the participant will explore and evaluate a set of documents as relevant or not relevant. The question to be answered is the impact of the level of reading fluency regarding with performance in tasks of searching for information.
dblp:journals/pdln/CasaSCD19 fatcat:6m4mwqpw4fgu7iavlkpbnmbis4

Buscador Semántico Biomédico

Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, Arturo Montejo-Ráez, Fernando Javier Martínez Santiago, Alberto Andreu-Marín, María Teresa Martín Valdivia, Luis Alfonso Ureña López
2018 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
gracias a la integración, con requisitos de tiempo de respuesta y alta disponibilidad, de ontologías médicas, técnicas de análisis de texto, reconocimiento de entidades y búsqueda de información sobre fuentes diversas externas. El resultado es una aplicación intuitiva y a la vez potente, que permite identificar la terminología médica sobre cualquier texto con un solo "click". Sobre ese reconocimiento, se permite filtrado de sentidos y subconceptos y la recuperación de información sobre recursos
more » ... como SciELO, Google Scholar y Medline. Además, el sistema genera un grafo conceptual de manera automática, que permite relacionar semánticamente los términos que aparecen en el texto. Palabras clave: reconocimiento automático de entidades, ontologías, terminología médica, informes médicos, recuperación de información, UMLS
dblp:journals/pdln/Lopez-UbedaDMSA18 fatcat:hwlqboeyczaohdf2bdqrvkpo24

EXIST 2021: Inducing Bias in Deep Learning Models

Ismael Garrido-Muñoz, Arturo Montejo-Ráez, Fernando Javier Martínez Santiago
2021 Annual Conference of the Spanish Society for Natural Language Processing  
For the EXIST 2021 sexism detection task, a novel approach is proposed. In previous work we see that deep learning models capture biases related to race, gender, religion, etc. There are numerous works that seek to lower the bias of these models to make them fairer and more equitable. We will use the opposite approach to these works, instead of reducing the bias of the models we will seek to increase it. So we will train 3 times the same base model, generating 3 versions of the model. A normal
more » ... ersion, a sexist version and an anti-sexist version. Belonging to these models will mean marking or not the tweet as sexist.
dblp:conf/sepln/Garrido-MunozMS21 fatcat:oxfqfzzaargixporatsvj4rsyy

REDES at TAC Knowledge Base Population 2016 : EDL and BeSt tracks

Yoan Gutiérrez, Isabel Moreno, David Tomás, Andrés Montoyo, Patricio Martínez-Barco, Rafael Muñoz, Salud María Jiménez Zafra, María Teresa Martín-Valdivia, Arturo Montejo-Ráez, Luis Alfonso Ureña López, Fernando Javier Martínez Santiago, Eladio M. Blanco-López
2016 Text Analysis Conference  
In addition, acknowledging the support of technical staff such as Ulises Serrano, Francisco Agulló and Javier Fernández from the University of Alicante.  ... 
dblp:conf/tac/GutierrezMTMMMZ16 fatcat:7joopslzcvhjnciiedhfybg56m

Pictogrammar, comunicación basada en pictogramas con conocimiento lingüístico

Miguel Ángel García Cumbreras, Fernando Javier Martínez Santiago, Arturo Montejo-Ráez, Manuel Carlos Díaz-Galiano, Manuel García Vega
2016 Revista de Procesamiento de Lenguaje Natural (SEPLN) 3 4 5 Ontologías SUpO y PictOntology SUpO (Simple Upper Ontology)(Martínez-Santiago  ... 
dblp:journals/pdln/CumbrerasSRDV16 fatcat:ybgxss6ivfbpvn6e476fbfu7m4

WWW como fuente de recursos lingüísticos para su uso en PLN

Fernando Javier Martínez Santiago, Luis Alfonso Ureña López, Manuel García Vega
2001 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
Resumen Crear un corpus extraído a partir de la Web está lejos de ser una tarea trivial. El elevado grado de heterogeneidad que es usual encontrar en el formato HTML, la gran cantidad de información irrelevante tanto en el sitio Web como dentro de una misma página y otros problemas de diversa índole, dificultan la obtención de un conjunto de documentos de aspecto homogéneo, estructurado y libre de ruido. Es presentada aquí una herramienta que pretende no sólo recuperar y almacenar
more » ... determinados sitios Web, sino dotar a los documentos obtenidos de un formato conveniente y homogéneo para su procesamiento automático, con independencia del origen de cada documento.
dblp:journals/pdln/SantiagoUV01 fatcat:bk7xxiv5trb33ffmtymisxda5a

SINAI at TAC-KBP BeST 2017: evaluating the impact of modal verbs in the classification of beliefs

Eladio M. Blanco-López, Fernando Javier Martínez Santiago, Alberto Marin
2017 Text Analysis Conference  
The aim for SINAI group is twofold in the task of belief classification for English. On one hand, we continue with the development of a hierarchical Bayesian model as a formalism to describe and classify categories, and its comparison with other popular classification algorithms. On the other hand, since the belief-sentiment annotation guidelines highlight the leverage of modal verbs, firstly, we have studied the distribution of this verbs over the corpus and, secondly, those events and
more » ... s that are under the scope of a modal verb have been accordingly labelled. We have found that this issue does not increase the performance of the classifiers. Since we have found that the scope of modal verbs and the category of the corresponding facts are correlated, it is necesary a more in-depth analysis of the results and possibly a more fine-grained classification of modal verbs. For example, by making explicit the distinction between deontinc and epistemic senses of such verbs.
dblp:conf/tac/Blanco-LopezSM17 fatcat:xubjxhvdfrh35kldlli72fakae
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