Oscar Cordon

Oscar Cordon
University of Granada | UGR · Department of Computer Science and Artificial Intelligence

PhD in Computer Science

About

394
Publications
94,392
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13,310
Citations
Introduction
Oscar Cordon currently works at the Department of Computer Science and Artificial Intelligence, University of Granada. Oscar does research in Artificial (Computational) Intelligence, Social Network Analysis and Agent-based Modeling in Marketing.
Additional affiliations
April 2006 - present
European Centre for Soft Computing
May 1995 - present
University of Granada

Publications

Publications (394)
Article
The new financial and commercial scenario driven by technological advances has undergone a rapid reconfiguration in the recent years. Innovation has generated new payment alternatives that are transforming the concept of money and payment habits among consumers. One of the most novel payment systems nowadays is known as biometric payment. Improved...
Article
Full-text available
Opinion Dynamics models in social networks are a valuable tool to study how opinions evolve within a population. However, these models often rely on agent-level parameters that are difficult to measure in a real population. This is the case of the confidence threshold in opinion dynamics models based on bounded confidence, where agents are only inf...
Article
Full-text available
At present, Artificial Intelligence (AI) is fully integrated in our society and, thanks to recent developments in generative AI, it has burst into Education at a dizzying pace. The aim of this paper is to reflect on the benefits that AI can bring in this area within Spanish Universities, as well as on the risks that it may entail. To this end, an i...
Article
Full-text available
Introduction Comparative radiography is a forensic identification and shortlisting technique based on the comparison of skeletal structures in ante-mortem and post-mortem images. The images (e.g., 2D radiographs or 3D computed tomographies) are manually superimposed and visually compared by a forensic practitioner. It requires a significant amount...
Preprint
Full-text available
Automatic art analysis employs different image processing techniques to classify and categorize works of art. When working with artistic images, we need to take into account further considerations compared to classical image processing. This is because such artistic paintings change drastically depending on the author, the scene depicted, and their...
Article
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This study aims to determine how the most sustainable brands in Italy and Spain developed communication and awareness-raising actions during the COVID-19 pandemic and whether these companies were truly involved in raising public awareness of the pandemic. The authors specifically focus on sustainable companies, as health communication is considered...
Article
Full-text available
Purpose This study aims to determine how the most sustainable brands in Italy and Spain developed communication and awareness-raising actions during the COVID-19 pandemic and whether these companies were truly involved in raising public awareness of the pandemic. The authors specifically focus on sustainable companies, as health communication is co...
Article
Social network analysis is a popular tool to understand the relationships between interacting agents by studying the structural properties of their connections. However, this kind of analysis can miss some of the domain-specific knowledge available in the original information domain and its propagation through the associated network. In this work,...
Article
In this work we propose a new algorithm to train and optimize an ensemble of classifiers. We call this algorithm the Krypteia ensemble, based on an ancient Spartan tradition designed to convert their most promising individuals into future leaders of their society. We show how to adapt this ancient custom to optimize classifiers by generating differ...
Article
Evolutionary Computer Vision (ECV) is at the intersection of two major research fields of artificial intelligence: 1) computer vision (CV) and 2) evolutionary computation (EC). This special issue brings an overview of state-of-the-art contributions to the latest research and development in the discipline. CV includes methods for acquiring, processi...
Article
The papers in this special section focus on the topic of explainable deep learning for medical image processing and analysis.
Article
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Agent-based models establish a suitable simulation technique to recreate real complex systems, such as those approached in marketing. Reinforcement learning is about learning a behavior policy in order to maximize a long-term reward signal. In this work, we develop a deep reinforcement learning agent that represents a brand in an agent-based model...
Chapter
In this work, we propose a novel architecture for face age editing that can produce structural modifications while maintaining relevant details present in the original image. We disentangle the style and content of the input image and propose a new decoder network that adopts a style-based strategy to combine the style and content representations o...
Article
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Consumers perform decision-making (DM) processes to select their preferred brands during their entire consumer journeys. These DM processes are based on the multiple perceptions they have about the products available in the market they are aware of. These consumers usually perform different DM strategies and employ diverse heuristics depending on t...
Article
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Age estimation is a fundamental task in forensic anthropology for both the living and the dead. The procedure consists of analyzing properties such as appearance, ossification patterns, and morphology in different skeletonized remains. The pubic symphysis is extensively used to assess adults’ age-at-death due to its reliability. Nevertheless, most...
Conference Paper
Full-text available
Social network analysis is a popular discipline among the social and behavioural sciences, in which the relationships between different social entities are modelled as a network. One of the most popular problems in social network analysis is finding communities in its network structure. Usually, a community in a social network is a functional sub-p...
Preprint
Full-text available
Social network analysis is a popular discipline among the social and behavioural sciences, in which the relationships between different social entities are modelled as a network. One of the most popular problems in social network analysis is finding communities in its network structure. Usually, a community in a social network is a functional sub-p...
Preprint
Full-text available
In this work, we propose a novel architecture for face age editing that can produce structural modifications while maintaining relevant details present in the original image. We disentangle the style and content of the input image and propose a new decoder network that adopts a style-based strategy to combine the style and content representations o...
Article
In the bounded confidence framework, agents’ opinions evolve as a result of interactions with other agents having similar opinions. Thus, consensus or fragmentation of opinions can be reached, but not extremization (the evolution of opinions towards an extreme value). In contrast, when repulsion mechanisms are at work, agents with distant opinions...
Chapter
Automatic art analysis comprises of utilizing diverse processing methods to classify and categorize works of art. When working with this kind of pictures, we have to take under consideration different considerations compared to classical picture handling, since works of art alter definitely depending on the creator, the scene delineated or their ae...
Article
Opinion dynamics investigate the spreading and evolution of opinions among a set of individuals. This is especially relevant in decision-making —the process of selecting an alternative from a set of possible options—, that is commonly based on personal opinions which may evolve along time. In this work, we present a model of opinion dynamics where...
Article
Full-text available
The evolution and spread of social networks have attracted the interest of the scientific community in the last few years. Specifically, several new interesting problems, which are hard to solve, have arisen in the context of viral marketing, disease analysis, and influence analysis, among others. Companies and researchers try to find the elements...
Article
Full-text available
Educational Technologies (EdTech) are based on the use of Information and Communication Technologies (ICT) to improve the quality of teaching and learning. EdTech is experiencing great development at different educational levels worldwide, especially since the appearance of Covid-19. The recent publication of a study by the ICT Sectorial of CRUE Un...
Conference Paper
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La evolución y la difusión de las redes sociales han atraído el interés de la comunidad científica en los últimos años. En concreto, han surgido nuevos problemas interesantes y difíciles de resolver. En el contexto del marketing viral las empresas y los investigadores tratan de encontrar los elementos que maximizan los beneficios, incrementan visua...
Preprint
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Human sciences have traditionally relied on human reasoning and intelligence to infer knowledge from a wide range of sources, such as oral and written narrations, reports, and traditions. Here we develop an extension of classical social network analysis approaches to incorporate the concept of meaning in each actor, as a mean to quantify and infer...
Article
This paper simulates the effect of the strategies implemented by politicians after the terrorists attacks in Madrid on 11 March 2004 on the ideological distance between voters and political parties. The attacks took place three days before the elections and changed the campaign’s agenda, which centered around the issue of who was responsible for th...
Article
Comparative radiography (CR) is the forensic anthropology technique in which ante-mortem (AM) and post-mounknown 2021 0.823 on a dataset composed of 234 skull radiographs. Second, an evolutionary-based 2D-3D IR method, that searches for the best alignment of segmented AM and PM images using a real-coded evolutionary algorithm. The proposed system i...
Article
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Complex problems can be analyzed by using model simulation but its use is not straight-forward since modelers must carefully calibrate and validate their models before using them. This is specially relevant for models considering multiple outputs as its calibration requires handling different criteria jointly. This can be achieved using automated c...
Article
Calibrating agent-based models involves estimating multiple parameter values. This can be performed automatically using automatic calibration but its success depends on the optimization method’s ability for exploring the parameter search space. This paper proposes to carry out this process using coral reefs optimization algorithms, a new branch of...
Chapter
Skeleton-based forensic identification techniques involve the assessment of human osseous remains to identify the deceased person’s identity and cause of death. Craniofacial superimposition (CFS) is one of the most extended techniques of such kind. It involves the superimposition of an image of a skull with a number of ante-mortem face images of an...
Article
Real-coded evolutionary algorithms have solved numerous real-world optimization problems. In this work, we aim to analyze the behavior and robustness of several real-coded evolutionary algorithms from the state of the art in a challenging real world optimization problem. This optimization problem consists on the superimposition of 3D and 2D images...
Article
Full-text available
Chest X-ray images (CXRs) are the most common radiological examination tool for screening and diagnosis of cardiac and pulmonary diseases. The automatic segmentation of anatomical structures in CXRs is critical for many clinical applications. However, existing deep models work on severely down-sampled images (commonly \(256\times 256\) pixels), red...
Conference Paper
Full-text available
The evolution and spread of social networks have attracted the interest of the scientific community in the last few years. Specifically, several new interesting problems which are hard to solve have arisen in the context of viral marketing, disease analysis and influence analysis , among others. Companies and researchers try to find the elements th...
Preprint
Full-text available
Communication is now a valuable element to demonstrate the degree of commitment and transparency that organizations have towards Sustainability . In a critical moment such that experienced with the COVID-19 crisis, companies recognized facing the challenge of continuous and committed communication on social networks as a sustainable activity. All t...
Preprint
Full-text available
In the present article we study social network modelling using human interaction as a basis. To do so, we propose a new set of functions, Affinities, designed to capture the nature of the local interactions among each pair of actors in a network. Using these functions, we develop a new community detection algorithm, the Borgia Clustering, where com...
Article
In this contribution we study social network modelling by using human interaction as a basis. To do so, we propose a new set of functions, affinities, designed to capture the nature of the local interactions among each pair of actors in a network. By using these functions, we develop a new community detection algorithm, the Borgia Clustering, where...
Article
Full-text available
Marketers have an important asset if they effectively target social networks’ influentials. They can advertise products or services with free items or discounts to spread positive opinions to other consumers (i.e., word-of-mouth). However, main research on choosing the best influentials to target is single-objective and mainly focused on maximizing...
Article
Marketing professionals face challenges of increasing complexity to adapt classic marketing strategies to the phenomenon of social networks. Companies are currently trying to take advantage of the useful collective knowledge available on social networks to support different types of marketing decisions. The appropriate analysis of this information...
Book
This open access book is the first comprehensive guide to a new soft computing technique which is used in complex forensic cases. The chapters include detailed technical and practical overviews, and discussions about the latest tools, open problems and ethical and legal issues involved. The book will be of interest to researchers and practitioners...
Article
Full-text available
Understanding consumer behaviors and how consumers react to marketing campaigns and viral word‐of‐mouth processes is crucial for marketers. Classical approaches try to infer this information from a global top‐down perspective. However, a more suitable and natural approach is to model consumer behaviors in a heterogeneous and decentralized bottom‐up...
Chapter
Comparative radiography has a crucial role in the forensic identification endeavor. A proposal to automate the comparison of ante-mortem and post-mortem radiographs has been recently proposed based on an evolutionary image registration method. It considers the use of differential evolution to estimate the parameters of a 3D-2D registration transfor...
Article
Full-text available
Automated calibration methods are a common approach to agent-based model calibration as they can estimate those parameters which cannot be set because of the lack of information. The modeler requires to validate the model by checking the parameter values before the model can be used and this task is very challenging when the model considers two or...
Article
The adoption of Twitter as communication channel can provide a significant benefit to firms, allowing them to improve their reputation and check its consistency with their mission and goals, monitor how customers respond to a business decision, and achieve product awareness. However, Twitter engagement is difficult for many companies due to the lar...
Article
Evolutionary fuzzy systems are one of the greatest advances within the area of computational intelligence. They consist of evolutionary algorithms applied to the design of fuzzy systems. Thanks to this hybridization, superb abilities are provided to fuzzy modeling in many different data science scenarios. This contribution is intended to comprise a...
Conference Paper
Full-text available
Resumen-Partiendo de los modelos TSALBP-ergo (Time and Space Assembly Line Balancing Problem with Ergonomic Risk), proponemos 9 métricas para medir la robustez de un equilibrado de línea según sus atributos temporales, espaciales y contingentes. La versión robusta de TSALBP-ergo considera diversos planes de demanda e incluye funciones que miden los...
Conference Paper
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Resumen-Car sequencing problem (CSP) es un problema tradicional de satisfacción de restricciones que refleja los problemas que surgen cuando una serie de vehículos se introducen en una cadena de producción. Sin embargo no considera vehículos no regulares o fuera de catálogo, pese a que en plantas reales pueden llegar a representar entre el 10 % y e...
Conference Paper
This contribution introduces ICARO-3D, an on going research project which is focused on developing computer-based methods for the automatic reconstruction and categorization/classification of archaeological remains. The system provides a pipeline facing the two main stages of the procedure, a.k.a the 3D reconstruction and the categorization of arch...
Chapter
In the last few decades, image registration (IR) has been a very active research area in computer vision. Applications of IR cover a broad range of real-world problems, including remote sensing, medical imaging, artificial vision, and computer-aided design. In particular, medical IR is a mature research field with theoretical support and two decade...
Chapter
Image registration (IR) involves the transformation of different sets of image data having a shared content into a common coordinate system. To achieve this goal, the search for the optimal correspondence is usually treated as an optimization problem. The limitations of traditional IR methods have boomed the application of metaheuristic-based appro...
Article
Comparative radiography is a forensic identification technique traditionally involving the manual comparison of ante-mortem and post-mortem radiographs, thus being time consuming and error prone. The main objective is to propose and validate a computer-aided comparative radiography paradigm based on the 3D bone scan-2D radiograph superimposition pr...
Article
Full-text available
In medical imaging there is a special interest in relating information from different images frequently used for diagnosis or treatment. Image registration (IR) involves the transformation of different sets of image data having a shared content into a common coordinate system. The estimation of the optimal transformation is modelled either as a com...
Article
Craniofacial superimposition aims to identify a missing person by comparing its skull with photos of possible candidates. Among the difficult tasks involved, this requires superimposing the skull over each photo, matching the pose of the skull with that of the face, a problem known as skullface overlay (SFO). Several computerized methods for SFO ha...
Article
Craniofacial superimposition is one of the most important skeleton-based identification methods. The process studies the possible correspondence between a found skull and a candidate (missing person) through the superimposition of the former over a variable number of images of the face of the latter. Within craniofacial superimposition we identifie...
Article
Full-text available
Craniofacial superimposition (CFS) is a forensic identification technique which studies the anatomical and morphological correspondence between a skull and a face. It involves the process of overlaying a variable number of facial images with the skull. This technique has great potential since nowadays the wide majority of the people have photograph...
Article
Full-text available
Craniofacial superimposition (CFS) is a skeleton-based technique that aims to provide identity to a skull through its superimposition with one or more photographs of candidate missing people. While traditionally performed by forensic experts, computer-aided CFS methods can now provide substantial speedups and are quickly progressing towards a large...
Article
Full-text available
Craniofacial superimposition involves the process of overlaying a skull with a number of ante-mortem images of the face of an individual and the analysis of their morphological correspondence. This research focused on the skull–face overlay stage with the aim of modeling the expert knowledge that is related to the existing anthropometric difference...
Conference Paper
Full-text available
Craniofacial superimposition involves the process of overlaying a skull with a number of ante-mortem images of an individual and the analysis of their morphological correspondence. This research focused on the skull-face overlay stage with the aim of modeling the expert knowledge that is related to the existing anthropometric differences among land...