Search results for "GiST"

showing 10 items of 3463 documents

Children and Parental Barriers to Active Commuting to School: A Comparison Study

2021

The main objectives of this study were: to compare the barriers to active commuting to and from school (ACS) between children and their parents separately for children and adolescents; and to analyze the association between ACS and the children’s and parents’ barriers. A total of 401 child–parent pairs, from Granada, Jaén, Toledo and Valencia, self-reported, separately, their mode of commuting to school and work, respectively, and the children’s barriers to ACS. T-tests and chi-square tests were used to analyze the differences by age for continuous and categorical variables, respectively. Binary logistic regressions were performed to study the association between ACS barriers of children an…

familyYouthAdolescentHealth Toxicology and MutagenesiseducationPsychological interventionlcsh:MedicineTransportationWalkingLogistic regressionArticle03 medical and health sciencesSocial supportperceptions0302 clinical medicineResidence CharacteristicsHumansactive transportFamily030212 general & internal medicineBuilt EnvironmentChildMotivationyouthSchoolslcsh:RPublic Health Environmental and Occupational Health030229 sport sciencesCross-Sectional StudiesComparison studyPerceptionPsychologyActive transportDemography
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Comparison of feature importance measures as explanations for classification models

2021

AbstractExplainable artificial intelligence is an emerging research direction helping the user or developer of machine learning models understand why models behave the way they do. The most popular explanation technique is feature importance. However, there are several different approaches how feature importances are being measured, most notably global and local. In this study we compare different feature importance measures using both linear (logistic regression with L1 penalization) and non-linear (random forest) methods and local interpretable model-agnostic explanations on top of them. These methods are applied to two datasets from the medical domain, the openly available breast cancer …

feature importanceComputer scienceGeneral Chemical EngineeringGeneral Physics and Astronomy02 engineering and technologyinterpretable modelstekoälyMachine learningcomputer.software_genreLogistic regressionDomain (software engineering)020204 information systems0202 electrical engineering electronic engineering information engineeringFeature (machine learning)General Materials ScienceGeneral Environmental Scienceluokitus (toiminta)explainable artificial intelligencebusiness.industrylogistic regressionGeneral EngineeringRandom forestkoneoppiminenTrustworthinessInjury dataGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerrandom forestSN Applied Sciences
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Machine learning for mortality analysis in patients with COVID-19

2020

This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain). Survival analysis, logistic regression, and machine learning techniques (both supervised and unsupervised) are applied to carry out the analysis where the endpoint variable is the reason for hospital discharge (home or deceased). The different methods applied show the importance of variables such as age, O2 saturation at Emergency Rooms (ER), and whether the patient comes from a nursing home. In addition, biclustering is used to globally analyze the patient-drug dataset, extracting segments of patients. We highlight the validity of the classifiers developed to predict the mortality, reaching…

feature importanceComputer scienceHealth Toxicology and MutagenesisPneumonia ViralDecision treelcsh:MedicineSample (statistics)Machine learningcomputer.software_genreLogistic regressionArticlesurvival analysisBiclustering03 medical and health sciencesBetacoronavirus0302 clinical medicineMachine learningRisk of mortalitygraphical modelsHumans030212 general & internal medicineGraphical modelPandemicsSurvival analysisInformática0303 health sciences030306 microbiologybusiness.industrySARS-CoV-2Decision Treeslcsh:RPublic Health Environmental and Occupational HealthCOVID-19Decision ruleSurvival analysisFeature importancemachine learningSpainArtificial intelligenceGraphical modelsbusinessCoronavirus Infectionscomputer
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Exploiting Data Analytics and Deep Learning Systems to Support Pavement Maintenance Decisions

2021

Road networks are critical infrastructures within any region and it is imperative to maintain their conditions for safe and effective movement of goods and services. Road Management, therefore, plays a key role to ensure consistent efficient operation. However, significant resources are required to perform necessary maintenance activities to achieve and maintain high levels of service. Pavement maintenance can typically be very expensive and decisions are needed concerning planning and prioritizing interventions. Data are key towards enabling adequate maintenance planning but in many instances, there is limited available information especially in small or under-resourced urban road authorit…

feature importancepavement management systemComputer science0211 other engineering and technologiespavement maintenance decision02 engineering and technologypavement management systemslcsh:Technologylcsh:ChemistryGoods and services021105 building & construction0502 economics and business11. SustainabilitySettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials Scienceroad asset databasesInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processes050210 logistics & transportationbusiness.industryLevel of servicelcsh:TProcess Chemistry and TechnologyDeep learning05 social sciencesGeneral EngineeringPavement managementdeep learningTimelinedata mininglcsh:QC1-999Computer Science Applicationsroad asset databaseWorkflowRisk analysis (engineering)lcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Key (cryptography)Settore ICAR/17 - DisegnoArtificial intelligencepavement maintenance decisionsbusinesslcsh:Engineering (General). Civil engineering (General)Predictive modellinglcsh:PhysicsApplied Sciences
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Documentos de registro en Trabajo Social: el Informe Social, la Historia Social, la Ficha Social

2019

El objetivo de este material docente es presentar los principales documentos de registro en Trabajo Social en España: la Ficha Social, la Historia Social y el Informe Social. Se describen sus contenidos, características así como las diferencias entre ellos, poniendo especial atención al Informe Social. The purpose of this teaching material is to present the main registration documents in Social Work in Spain: the Social Record, the Social History and the Social Report. Its contents, features as well as the differences between them are described, paying special attention to the Social Report.

ficha socialhistoria socialUNESCO::SOCIOLOGÍAregistros en trabajo socialinforme social
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Presentazione a “Giornata di Studi” con Franco Blezza del 5 Novembre 2004, Facoltà di Scienze della Formazione – Edificio 15 – su “La figura del peda…

2004

figura del pedagogista pedagogia giornata di studi
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El cine como herramienta para analizar la figura del profesor y la relación profesor-alumno en aulas de Educación Secundaria

2015

Existe una gran variedad de películas relacionadas con la enseñanza que tienen diferentes enfoques de la figura del profesor y de la relación que mantiene con los estudiantes. En ocasiones, el profesor es un personaje ejemplar, al que los alumnos admiran y quieren imitar, pero en otros casos su imagen es la contraria. Por eso, este análisis tiene como propósito conocer, mediante una intervención didáctica, de qué forma representa el cine la figura del profesor y la relación profesor- alumno y si esta representación se corresponde con la realidad que perciben los alumnos en las aulas. En la búsqueda de este objetivo general, en primer lugar, se ha establecido el estado de la cuest…

figura del profesormetodologíarelación profesor-alumnocineregistro y tratamientoeducaciónUNESCO::LINGÜÍSTICA
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Zdolności logistyczne w kształtowaniu obsługi klienta

2022

Wciąż rosnąca konkurencja skłania przedsiębiorstwa do poszukiwania źródeł przewagi konkurencyjnej. Istotnym elementem tworzenia tej przewagi jest obsługa klienta. Właściwie realizowana obsługa klienta pozwala osiągnąć satysfakcję i zadowolenie klienta, co umożliwia tworzenie i utrzymywanie przewagi konkurencyjnej. Jednym ze sposobów właściwego kształtowania obsługi klienta są zdolności przedsiębiorstw, w tym zdolności logistyczne. Celem artykułu jest przedstawienie znaczenia zdolności logistycznych w kształtowaniu obsługi klienta. W artykule przedstawiono (1) koncepcję zdolności logistycznych, (2) istotę, fazy i elementy obsługi klienta, (3) transformację podejścia do obsługi klienta w kier…

firm capabilities; logistics capabilities; customer servicezdolności przedsiębiorstwa; zdolności logistyczne; obsługa klienta.Gospodarka Materialowa & Logistyka
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Logistics potentials of success as the factors affecting firm performance

2019

Firms are permanently looking for ways to achieve expected market and economic outcomes, which are the basis for superior performance as well as strong, long-term competitive advantage. The most important market outcomes are: (1) customer satisfaction, (2) customer loyalty, and (3) marketshare. In turn, the most important economic outcomes are: (1) profit, (2) profitability, and (3) return on investment (ROI). In achieving such performance and advantage the important role is assigned - among others - to the so-called logistics potentials of success. Logistics potentials of success are significant parts of the “general” firm potentials of success, which comprise: (1) resources, (2) capabilit…

firm competitive advantageeconomic outcomesLogistics potentials of successmarket outcomesfirm performance
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Quello che Barberis non dice: primato della tecnica, concorrenza tra fonti e tra ordinamenti, applicabilità diretta del diritto europeo ovvero nuove …

2008

fonti diritto europeo magistraturaSettore IUS/08 - Diritto Costituzionale
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