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Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal [article]

Esteban García-Cuesta
2020 arXiv   pre-print
Nowadays technology is being adopted on every aspect of our lives and it is one of most important transformation driver in industry. Moreover, many of the systems and digital services that we use daily rely on artificial intelligent technology capable of modeling social or individual behaviors that in turns also modify personal decisions and actions. In this paper, we briefly discuss, from a technological perspective, a number of critical issues including the purpose of promoting trust and
more » ... e social benefit by the proper use of Artificial Intelligent Systems. To achieve this goal we propose a generic ethical technological framework as a first attempt to define a common context towards developing real engineering ethical by design. We hope that this initial proposal to be useful for early adopters and especially for standardization teams.
arXiv:2002.07734v1 fatcat:7kgssssf3zhvzk7xaeckzfonx4

Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods [chapter]

Marta Poblet, Esteban García-Cuesta, Pompeu Casanovas
2014 Lecture Notes in Computer Science  
recent advances on information technologies and communications, coupled with the advent of the social media applications have fuelled a new landscape of emergency and disaster response systems by enabling affected citizens to generate georeferenced real time information on critical events. The identification and analysis of such events is not straightforward and the application of crowdsourcing methods or automatic tools is needed for that purpose. Whereas crowdsourcing makes emphasis on the
more » ... ources of people to produce, aggregate, or filter original data, automatic tools make use of information retrieval techniques to analyze publicly available information. This paper reviews a set of online tools and platforms implemented in recent years which are currently being applied in the area of emergency management and proposes a taxonomy for its categorization.
doi:10.1007/978-3-662-45960-7_19 fatcat:kdfibzp5gfb4vi62qttw6bawlu

Physiological Reactions in the Therapist and Turn-Taking during Online Psychotherapy with Children and Adolescents with Autism Spectrum Disorder

Laura López-Florit, Esteban García-Cuesta, Luis Gracia-Expósito, German García-García, Giuseppe Iandolo
2021 Brain Sciences  
Acknowledgments: We would like to extend our appreciation to Oscar García Lopez for his assistance in the project and for his assistance with the preparation of the manuscript.  ... 
doi:10.3390/brainsci11050586 pmid:33946442 fatcat:hiolhf75qzgxpgy224e4xqf6mu

A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains

Rafael Muñoz Gil, Manuel de Buenaga Rodríguez, Fernando Aparicio Galisteo, Diego Gachet Páez, Esteban García-Cuesta
2021 Information  
In recent years, information integration systems have become very popular in mashup-type applications. Information sources are normally presented in an individual and unrelated fashion, and the development of new technologies to reduce the negative effects of information dispersion is needed. A major challenge is the integration and implementation of processing pipelines using different technologies promoting the emergence of advanced architectures capable of processing such a number of diverse
more » ... sources. This paper describes a semantic domain-adaptable platform to integrate those sources and provide high-level functionalities, such as recommendations, shallow and deep natural language processing, text enrichment, and ontology standardization. Our proposed intelligent domain-adaptable platform (IDAP) has been implemented and tested in the tourism and biomedicine domains to demonstrate the adaptability, flexibility, modularity, and utility of the platform. Questionnaires, performance metrics, and A/B control groups' evaluations have shown improvements when using IDAP in learning environments.
doi:10.3390/info12110435 doaj:cef555647b124162836e2e03716ef347 fatcat:yf2z4j3zjzcotarhaidu6jhyu4

Indexing Execution Patterns in Workflow Provenance Graphs through Generalized Trie Structures [article]

Esteban García-Cuesta (Data Science Laboratory, School of Arquitecture, Engineering and Design, Universidad Europea de Madrid, Spain), José M. Gómez-Pérez
2018 arXiv   pre-print
Over the last years, scientific workflows have become mature enough to be used in a production style. However, despite the increasing maturity, there is still a shortage of tools for searching, adapting, and reusing workflows that hinders a more generalized adoption by the scientific communities. Indeed, due to the limited availability of machine-readable scientific metadata and the heterogeneity of workflow specification formats and representations, new ways to leverage alternative sources of
more » ... nformation that complement existing approaches are needed. In this paper we address such limitations by applying statistically enriched generalized trie structures to exploit workflow execution provenance information in order to assist the analysis, indexing and search of scientific workflows. Our method bridges the gap between the description of what a workflow is supposed to do according to its specification and related metadata and what it actually does as recorded in its provenance execution trace. In doing so, we also prove that the proposed method outperforms SPARQL 1.1 Property Paths for querying provenance graphs.
arXiv:1807.07346v1 fatcat:atc4gsqqhzckjnxu5mayfjayre

Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles [chapter]

Esteban García-Cuesta, Inés M. Galván, Antonio J. de Castro
2006 Lecture Notes in Computer Science  
The use of high spectral resolution measurements to obtain a retrieval of certain physical properties related with the radiative transfer of energy leads a priori to a better accuracy. But this improvement in accuracy is not easy to achieve due to the great amount of data which makes diff cult any treatment over it and it's redundancies. To solve this problem, a pick selection based on principal component analysis has been adopted in order to make the mandatory feature selection over the
more » ... nt channels. In this paper, the capability to retrieve the temperature prof le in a combustion environment using neural networks jointly with this spectral high resolution feature selection method is studied.
doi:10.1007/11875581_91 fatcat:zavulggcjjdyvnmidalbagshva

On a projection-based class of uniformity tests on the hypersphere [article]

Eduardo García-Portugués, Paula Navarro-Esteban, Juan A. Cuesta-Albertos
2020 arXiv   pre-print
Supplementary materials for "On a projection-based class of uniformity tests on the hypersphere" Eduardo García-Portugués 1,2,4 , Paula Navarro-Esteban 3 , and Juan A.  ...  His test has been exported to the functional data context by García-Portugués et al. (2014) and, relevant to the consideration of (3), this test was compared in Cuesta-Albertos et al.  ... 
arXiv:2008.09897v2 fatcat:lt7d76rmxzbgfmyb7qefodcclq

When History Matters - Assessing Reliability for the Reuse of Scientific Workflows [chapter]

José Manuel Gómez-Pérez, Esteban García-Cuesta, Aleix Garrido, José Enrique Ruiz, Jun Zhao, Graham Klyne
2013 Lecture Notes in Computer Science  
Scientific workflows play an important role in computational research as essential artifacts for communicating the methods used to produce research findings. We are witnessing a growing number of efforts that treat workflows as first-class artifacts for sharing and exchanging scientific knowledge, either as part of scholarly articles or as stand-alone objects. However, workflows are not born to be reliable, which can seriously damage their reusability and trustworthiness as knowledge exchange
more » ... struments. Scientific workflows are commonly subject to decay, which consequently undermines their reliability over their lifetime. The reliability of workflows can be notably improved by advocating scientists to preserve a minimal set of information that is essential to assist the interpretations of these workflows and hence improve their potential for reproducibility and reusability. In this paper we show how, by measuring and monitoring the completeness and stability of scientific workflows over time we are able to provide scientists with a measure of their reliability, supporting the reuse of trustworthy scientific knowledge.
doi:10.1007/978-3-642-41338-4_6 fatcat:i7acomizhfehdeddn3r275vwhu

A Cramér-von Mises test of uniformity on the hypersphere [article]

Eduardo García-Portugués, Paula Navarro-Esteban, Juan A. Cuesta-Albertos
2021 arXiv   pre-print
Theorem 2 (Asymptotic null distribution; García-Portugués et al. (2020) ).  ...  Theorem 1 (U -statistic form of CvM n,q ; García-Portugués et al. (2020) ).  ... 
arXiv:2008.10767v2 fatcat:3wwnunpnljfvdmly7gpxbfjrwa

Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem

Esteban García-Cuesta, Inés M. Galván, Antonio J. de Castro
2008 Engineering applications of artificial intelligence  
García-Cuesta et al. / Engineering Applications of Artificial Intelligence 21 (2008) 26-34 30 Table 2 2 Errors for the hot gas temperature retrieval using a MLP with 4000 inputs and different architectures  ...  As it was expected the results were not good and also the process was very high time consuming producing overfitting without reaching the results obtained with medium spectral resolution (Garcı´a-Cuesta  ... 
doi:10.1016/j.engappai.2007.03.005 fatcat:msvajj7dobghfmzq3txq4kcr3q

Prediction of Opinion Keywords and Their Sentiment Strength Score Using Latent Space Learning Methods

Esteban García-Cuesta, Daniel Gómez-Vergel, Luis Gracia-Expósito, Jose M. López-López, María Vela-Pérez
2020 Applied Sciences  
Most item-shopping websites give people the opportunity to express their thoughts and opinions on items available for purchasing. This information often includes both ratings and text reviews expressing somehow their tastes and can be used to predict their future opinions on items not yet reviewed. Whereas most recommendation systems have focused exclusively on ranking the items based on rating predictions or user-modeling approaches, we propose an adapted recommendation system based on the
more » ... iction of opinion keywords assigned to different item characteristics and their sentiment strength scores. This proposal makes use of natural language processing (NLP) tools for analyzing the text reviews and is based on the assumption that there exist common user tastes which can be represented by latent review topics models. This approach has two main advantages: is able to predict interpretable textual keywords and its associated sentiment (positive/negative) which will help to elaborate a more precise recommendation and justify it, and allows the use of different dictionary sizes to balance performance and user opinion interpretability. To prove the feasibility of the adapted recommendation system, we have tested the capabilities of our method to predict the sentiment strength score of item characteristics not previously reviewed. The experimental results have been performed with real datasets and the obtained F1 score ranges from 66% to 77% depending on the dataset used. Moreover, the results show that the method can generalize well and can be applied to combined domain independent datasets.
doi:10.3390/app10124196 fatcat:nbblvhy6unbuxe6uafjqlx4bxe

Antimicrobial Power of Organic Acids and Nature-Identical Compounds against Two Vibrio spp.: An In Vitro Study

Barbara Rossi, Maria Angéles Esteban, José María García-Beltran, Giulia Giovagnoni, Alberto Cuesta, Andrea Piva, Ester Grilli
2021 Microorganisms  
Vibrosis is one of the major threats in aquaculture farming, and due to the increasing antimicrobial resistance of different Vibrio species, there is an urgent need to replace conventional treatments with more sustainable solutions. Antimicrobial molecules such as organic acids (OA) and nature-identical compounds (NIC) are currently finding a central role in the infection management of terrestrial livestock, but little is known about their usage in aquaculture. The aim of this study was to
more » ... rm a preliminary screening of the in vitro antimicrobial activity of a wide panel of OA and NIC against 2 Vibrio species characteristic of the Mediterranean area, Vibrio harveyi and Vibrio anguillarum, through minimal inhibitory/bactericidal concentration tests. The active principles that showed the best effective pathogen control were medium-chain fatty acids, sorbic and benzoic acid among OA and phenolic monoterpenoids (thymol, carvacrol and eugenol) and aromatic monoterpene aldehydes (vanillin and cinnamaldehyde) among NIC. These results showed how the usage of OA and NIC can open promising perspectives in terms of Vibrio spp. load control in aquaculture. Natural or nature-identical feed additives can make aquaculture production not only more efficient by reducing the need for medicated treatments, but also more sustainable.
doi:10.3390/microorganisms9050966 pmid:33947155 fatcat:kmuc6me6svfdnfcrcve5gu5cca

Why workflows break — Understanding and combating decay in Taverna workflows

Jun Zhao, Jose Manuel Gomez-Perez, Khalid Belhajjame, Graham Klyne, Esteban Garcia-Cuesta, Aleix Garrido, Kristina Hettne, Marco Roos, David De Roure, Carole Goble
2012 2012 IEEE 8th International Conference on E-Science  
Workflows provide a popular means for preserving scientific methods by explicitly encoding their process. However, some of them are subject to a decay in their ability to be reexecuted or reproduce the same results over time, largely due to the volatility of the resources required for workflow executions. This paper provides an analysis of the root causes of workflow decay based on an empirical study of a collection of Taverna workflows from the myExperiment repository. Although our analysis
more » ... based on a specific type of workflow, the outcomes and methodology should be applicable to workflows from other systems, at least those whose executions also rely largely on accessing third-party resources. Based on our understanding about decay we recommend a minimal set of auxiliary resources to be preserved together with the workflows as an aggregation object and provide a software tool for end-users to create such aggregations and to assess their completeness. 2
doi:10.1109/escience.2012.6404482 dblp:conf/eScience/ZhaoGBKGGHRRG12 fatcat:2zyqjxcjpfhqpdo4726pcp4osi

XLike Project Language Analysis Services

Xavier Carreras, Lluís Padró, Lei Zhang, Achim Rettinger, Zhixing Li, Esteban García-Cuesta, Željko Agić, Bozo Bekavac, Blaz Fortuna, Tadej Štajner
2014 Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics  
This paper presents the linguistic analysis infrastructure developed within the XLike project. The main goal of the implemented tools is to provide a set of functionalities supporting the XLike main objectives: Enabling cross-lingual services for publishers, media monitoring or developing new business intelligence applications. The services cover seven major and minor languages: English, German, Spanish, Chinese, Catalan, Slovenian, and Croatian. These analyzers are provided as web services
more » ... owing a lightweigth SOA architecture approach, and they are publically accessible and shared through META-SHARE. 1
doi:10.3115/v1/e14-2003 dblp:conf/eacl/CarrerasP0RLGABFS14 fatcat:sqflmyexyfd7jfatesxivnhge4

Detection of SARS-CoV-2 Infection in Human Nasopharyngeal Samples by Combining MALDI-TOF MS and Artificial Intelligence

Meritxell Deulofeu, Esteban García-Cuesta, Eladia María Peña-Méndez, José Elías Conde, Orlando Jiménez-Romero, Enrique Verdú, María Teresa Serrando, Victoria Salvadó, Pere Boadas-Vaello
2021 Frontiers in Medicine  
Copyright © 2021 Deulofeu, García-Cuesta, Peña-Méndez, Conde, Jiménez-Romero, Verdú, Serrando, Salvadó and Boadas-Vaello.  ... 
doi:10.3389/fmed.2021.661358 pmid:33869258 pmcid:PMC8047105 fatcat:35bc4dfm2jbmvhofa5qxo7yxuu
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