ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials
El grup fa recerca i transferència de coneixement en tres àmbits:
a) Estadística industrial, amb aplicacions per millorar la qualitat i la productivitat dels processos industrials, la logística industrial, la predicció, la gestió i millora de la qualitat (Six Sigma) i el disseny emocional dels productes (Kansei Engineering).
b) L'ús de l'anàlisi en entorns empresarials i industrials. Estem treballant en la caracterització dels clients i el “churn” (detecció precoç de l'abandonament) i la fiabilitat i el manteniment preventiu de màquines remotes.
c) L'anàlisi de dades complexes, d'aplicacions espacials i / o temporals discretes i sovint dependents dels mètodes no paramètrics bayesians i d'enginyeria i anàlisi de resultats electorals, demografia, ecologia i anàlisi estadística del estil literari.
d) Millors formes d'ensenyar estadística als estudiants universitaris i també als professionals de l'empresa i la indústria.
El grupo realiza investigación y transferencia de conocimiento en tres ámbitos:
a) Estadística industrial, con aplicaciones para mejorar la calidad y la productividad de los procesos industriales, la logística industrial, la predicción, la gestión y mejora de la calidad (Six Sigma) y el diseño emocional de los productos (Kansei Engineering).
b) El uso del análisis en entornos empresariales e industriales. Estamos trabajando en la caracterización de los clientes y Churn (detección precoz del abandono) y la fiabilidad y el mantenimiento preventivo de máquinas remotas.
c) El análisis de datos complejos, de aplicaciones espaciales y / o temporales discretas ya menudo dependientes de los métodos no paramétricos bayesianos y de ingeniería y análisis de resultados electorales, demografía, ecología y análisis estadístico del estilo literario.
d) Mejores formas de enseñar estadística a los estudiantes universitarios y también a los profesionales de la empresa y la industria.
The group does research and knowledge transfer in three areas:
a) Industrial Statistics, with applications to improve the quality and productivity of industrial processes, industrial logistics, forecasting, quality management and improvement (Six Sigma) and the emotional design of products (Kansei Engineering).
b) The use of analytics in business and industrial environments. We are working on customer characterization and Churn (early detection of abandonment) and reliability and preventive maintenance of remote machines.
c) The analysis of complex data, discrete and often dependent spatial and / or temporal applications of Bayesian nonparametric methods and engineering and analysis of election results, demographics, ecology, and the statistical analysis of literary style.
d) Better ways to teach statistics to university students and also to business and industry professionals.
The group does research and knowledge transfer in three areas:
a) Industrial Statistics, with applications to improve the quality and productivity of industrial processes, industrial logistics, forecasting, quality management and improvement (Six Sigma) and the emotional design of products (Kansei Engineering).
b) The use of analytics in business and industrial environments. We are working on customer characterization and Churn (early detection of abandonment) and reliability and preventive maintenance of remote machines.
c) The analysis of complex data, discrete and often dependent spatial and / or temporal applications of Bayesian nonparametric methods and engineering and analysis of election results, demographics, ecology, and the statistical analysis of literary style.
d) Better ways to teach statistics to university students and also to business and industry professionals.
Col·leccions
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Articles de revista [121]
Enviaments recents
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Effectiveness of influenza vaccination and early antiviral treatment in reducing pneumonia risk in severe influenza cases
(2024-02-07)
Article
Accés obertIntroduction: Influenza vaccination may be effective in preventing influenza infection and may reduce the risk of influenza-associated pneumonia. The study aim was to evaluate the effect of influenza vaccination in preventing ... -
Comments on: shape-based functional data analysis
(Springer, 2023-12-11)
Article
Accés obertThe paper under discussion proposes a non-standard way to approach functional data analysis based on the concept of shape-of-a-function. I congratulate the authors for such a stimulating piece of work. Among the most ... -
Identifying and classifying aberrant response patterns through functional data analysis
(2020-12-01)
Article
Accés obertWe propose new methods for identifying and classifying aberrant response patterns (ARPs) by means of functional data analysis. These methods take the person response function (PRF) of an individual and compare it with the ... -
Kansei for the digital era
(2023-11-28)
Article
Accés obertFor over 40 years, Kansei-based research and development have been conducted in Japan and other East Asian countries and these decades of research have influenced Kansei interpretation. New methods and applications, including ... -
SurvLIMEpy: a Python package implementing SurvLIME
(2024-03-01)
Article
Accés restringit per política de l'editorialIn this paper we present SurvLIMEpy, an open-source Python package that implements the SurvLIME algorithm. This method allows to compute local feature importance for machine learning algorithms designed for modelling ... -
Design of pastes for direct ink writing of zirconia parts with medical applications
(Scientific.Net, 2023-10-05)
Article
Accés restringit per política de l'editorialDirect ink writing (DIW) is an extrusion additive manufacturing (AM) technique in which inks are extruded through a nozzle and then deposited layer-by-layer. This technology allows 3D printing many different materials such ... -
Ten-year probabilities of death due to cancer and cardiovascular disease among breast cancer patients diagnosed in north-eastern Spain
(2023-01-01)
Article
Accés obertMortality from cardiovascular disease (CVD), second tumours, and other causes is of clinical interest in the long-term follow-up of breast cancer (BC) patients. Using a cohort of BC patients (N = 6758) from the cancer ... -
Conditional poisson regression with random effects for the analysis of multi-site time series studies
(2023-09-12)
Article
Accés obertThe analysis of time series studies linking daily counts of a health indicator with environmental variables (e.g., mortality or hospital admissions with air pollution concentrations or temperature; or motor vehicle crashes ... -
Scalability evaluation of forecasting methods applied to bicycle sharing systems
(Elsevier Ltd, 2023-10)
Article
Accés obertPublic Bicycle Sharing Systems have spread in many cities for the last decade. The need of analysis tools to predict the behavior or estimate balancing needs has fostered a wide set of approaches that consider many variables. ... -
Mixed nonlinear modelling in food engineering: determination of the salting time of boneless dry-cured Cerretan hams
(TU Dortmund University, 2023)
Comunicació de congrés
Accés obertA great challenge in producing a good cured ham is to reduce the variability of the salt content between pieces of ham and to obtain homogeneity in terms of flavour and quality in general. This reduction in variability ... -
Mapping life expectancy loss in Barcelona in 2020
(2023-05-04)
Article
Accés obertWe use a Bayesian spatio-temporal model, first to smooth small-area initial life expectancy estimates inBarcelona for 2020, and second to predict what small-area life expectancy would have been in 2020 inabsence of covid-19 ... -
Effectively integrating research argumentation in syllabus learning: A case study of reading journal articles in four fourth-year engineering fluid mechanics courses
(SAGE publishing, 2023-08-10)
Article
Accés obertIn an emerging trend in engineering education students are engaged in the scientific discovery process through reading about research published in articles rather than textbooks. A research-based and curriculum-oriented ...