Luis Gonzalez-Abril

Luis Gonzalez-Abril
University of Seville | US · Departamento de Economía Aplicada I

Professor

About

271
Publications
120,355
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1,656
Citations

Publications

Publications (271)
Article
Full-text available
A new family of inequality indices based on the deviation between the expected maximum and the expected minimum of random samples, called the nth Gini index is presented. These indices generalize the Gini index. At the same time, this family of indices and the S-Gini index are generalized by proposing the uv-Gini index, which turns out to be a conv...
Preprint
Full-text available
A new family of inequality indices based on the deviation between the expected maximum and the expected minimum of random samples, called the nth Gini index is presented. These indices generalize the Gini index. At the same time, this family of indices and the S-Gini index are generalised by proposing the uv−Gini index, which turns out to be a conv...
Chapter
Food is an important factor when choosing a touristic destination, and culinary images are a fundamental tool in gastronomic marketing. This paper presents an approach to analyse the use of color in food images based on a dataset of more than 22000 recipes coming form a popular recipe website, including images of the final dishes and scores that in...
Article
Full-text available
Generative adversarial networks (GANs) have become a recent and rapidly developing research topic in machine learning. Since their inception in 2014, a significant number of variants have been proposed to address various topics across many fields, and they have particularly excelled not only in image and language processing but also in the medical...
Article
Full-text available
This article explores the determinants of the adoption of artificial intelligence (AI) in small and medium-sized enterprises (SMEs) with special attention to the impact of competencies and skills. The research was based on data from a representative sample of SMEs in Spain and used logistic regression econometric analysis. Additionally, the study a...
Preprint
Full-text available
Generative adversarial networks (GANs) have become a recent and rapidly developing research topic in Machine Learning. Since their inception in 2014, a significant number of variants have been proposed to address various topics across many fields, and has particularly excelled not only in image and language processing, but also in the medical and d...
Chapter
The satisfaction of services constitutes a major issue not only for in cruise ship companies but also across the whole tourism industry. However, the major problem is where to concentrate the most attention or rather, which services are highly valued by the clients. A study by using partial least square (PLS) from the 299 opinions collected during...
Article
Full-text available
Endometriosis (EM) is a chronic inflammatory estrogen-dependent disorder that affects 10% of women worldwide. It affects the female reproductive tract and its resident microbiota, as well as distal body sites that can serve as surrogate markers of EM. Currently, no single definitive biomarker can diagnose EM. For this pilot study, we analyzed a coh...
Article
Full-text available
Nowadays, digitalisation is present in all links of the product life cycle and within product design. Packaging is a critical element that affects the customer’s purchase intention. Therefore, packaging is one of the elements for which it is positive to include techniques and methods based on Industry 4.0 to obtain results from users and bring them...
Chapter
Menopause is the permanent cessation of menstruation occurring naturally in women's aging. The most frequent symptoms associated with menopausal phases are mucosal dryness, increased weight and body fat, and changes in sleep patterns. Oral symptoms in menopause derived from saliva flow reduction can lead to dry mouth, ulcers, and alterations of tas...
Preprint
Full-text available
Nowadays, digitalization present in all links of the product life cycle and within product design, packaging is a critical element, as it affects the customer’s purchase intention, and therefore, it is one of the most important spaces where to include techniques and methods based on Industry 4.0 that obtain results from the user and bring them clos...
Chapter
Full-text available
This paper presents an approach for analysing gastronomic images and also their related comments published by the Getcookingcanada Instagram account, which belongs to a cooking school. Our approach processes the published images to calculate the moods that the image can generate depending on its colour palette, and also analyses the comments relate...
Chapter
The image of a tourist destination can be influenced by any of multitude of aspects, one of the most important being that of gastronomy, within which it is well-known that colour plays a major role. An exploratory study into how the perception of food colour affects the mood of Latino-American and Spanish people is presented to this end. A survey i...
Article
A person’s preference to select or reject certain meals is influenced by several aspects, including colour. In this paper, we study the relevance of food colour for such preferences. To this end, a set of images of meals is processed by an automatic method that associates mood adjectives that capture such meal preferences. These adjectives are obta...
Chapter
Full-text available
This paper presents an approach for analysing food-porn images and their related comments published by the cooking school Getcookingcanada Instagram account. Our approach processes the published images to extract colour parameters, counts the number of likes, and also analyses the comments related to each publication. A dataset containing all these...
Article
Full-text available
The development of healthcare patient digital twins in combination with machine learning technologies helps doctors in therapeutic prescription and in minimally invasive intervention procedures. The confidentiality of medical records or limited data availability in many health domains are drawbacks that can be overcome with the generation of synthe...
Article
Full-text available
We evaluated how beer colour and glass type interact when it comes to forming beer expectations. Following previous research, we predicted that, given that colour is a dominant feature in food and beverage expectations, it would modulate the effects of glass type on beer expectations. One hundred and ninety-five participants from the United Kingdom...
Article
El turismo de cruceros, es una de las modalidades turísticas con mayor crecimiento en Andalucía. Andalucía es un importante asentamiento como puerto de escala y base de grandes compañías, donde además se llevan a cabo reparaciones y transformaciones de grandes buques. Un estudio de las posibilidades y opciones de empleo en el sector de cruceros es...
Chapter
Full-text available
Research suggests that colour plays an important role in creating wellness emotions in hotel customers. This paper considers that tourists’ needs for wellness may be satisfied by manipulating existing elements of a hotel, such as the colour of a hotel room. The paper studies the relationship between tourists’ emotions and the main colour of a hotel...
Article
In the area of human digital twins, the designed model should be as close as possible to the reality. The weight variable is one of the interested parameters of these mathematical models, as well as its interaction with other vital signals. The aim of this paper is including the information gathered from weight sensors of a person in its digital tw...
Article
Full-text available
The digital twin in health care is the dynamic digital representation of the patient’s anatomy and physiology through computational models which are continuously updated from clinical data. Furthermore, used in combination with machine learning technologies, it should help doctors in therapeutic path and in minimally invasive intervention procedure...
Chapter
The main objective in this proposal is to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, specifically lung cancer, by introducing the creation of digital twins for personalised healthcare about the behaviour of this disease on patients. Digital twins is a very popular and novel approach in digiti...
Article
Full-text available
This paper presents a cognitively inspired qualitative theory, \(QCharm\), which defines five operators for colour combination based on the qualitative colour descriptor (QCD) and applies these operators to recommend palettes of harmonic colours. Machine learning techniques have been applied to learn the QCD colour coordinates in Kobayashi’s colour...
Article
In human-machine communication situations, perceptual and conceptual deviations can appear. The challenge of categorising colours is tackled in this paper. Colour perception is very subjective. Colours may be perceived differently depending on a person’s eye anatomy and a person’s sense of sight which adapts to the surroundings and perceives differ...
Article
New technological developments, hyper-connectivity and the globalisation of the economy are posing significant opportunities and challenges for today's economy. Therefore, the industry must also address these opportunities and challenges in order to evolve and position itself as a strong, competitive and international reference sector.
Article
Full-text available
Several authors have shown that the sounds of anurans can be used as an indicator of climate change. Hence, the recording, storage and further processing of a huge number of anuran sounds, distributed over time and space, are required in order to obtain this indicator. Furthermore, it is desirable to have algorithms and tools for the automatic clas...
Data
Matlab code: Classification with HMM (Hidden Markov Models) and recursice neural networks.
Data
Matlab code: Classification with variable number of frames.