Andrés Muñoz

Universidad de Cádiz | UCA · Department of Computer Engineering

Predicting human mobility is a key element in the development of intelligent transport systems. Current digital technologies enable capturing a wealth of data on mobility flows between geographic areas, which are then used to train machine learning models to predict these flows. However, most works have only considered a single data source for buil...

SQL is a key programming language for data scientists, but its learning is sometimes challenging, especially if the learner does not have a proper computer science background. This article introduces ChatbotSQL, a conversational agent that aims to support the autonomous learning of the SQL language for database querying. ChatbotSQL proposes exercis...

Aunque el uso de herramientas de evaluación automáticas ha ido en crecimiento en las últimas décadas, con la llegada de la pandemia del COVID-19 su uso se hizo aun mayor. Entre las herramientas de evaluación automática destacan los cuestionarios, que suelen venir integrados en los principales LMS con una gran variedad de opciones para personalizarl...

Music listening choices are considered to be a factor capable of measuring people’s emotions. Thanks to the explosion of streaming music applications in recent years, it is possible to describe listening trends of the global population based on emotional features. In this paper we have analysed the most popular songs from 52 countries on Spotify th...

Tourism has become a very active ecosystem to deploy solutions based on Information and Communication Technologies. Indeed, it is now possible to analyze the mobility behaviour of tourists in great detail. However, current solutions aimed at anticipating tourist flows usually follow a limited approach based on the local (e.g., to predict the next l...

One of the main lines of research in the discipline of mobility mining is the development of predictors able to anticipate human travel behaviour in great detail. However, access to the high-resolution spatio-temporal data on which most existing solutions are based is rather limited due to multiple factors, e.g. costly access to third-party data. T...

One paramount aspect to deal with the increase in the amount of plastic are urban planning policies to efficiently collect plastic waste. However, only developed countries have well-defined policies despite the serious problems this type of waste generally causes. The present paper proposes a novel approach to define urban planning policies able to...

Nowadays, the anticipation of human mobility flow has important applications in many domains ranging from urban planning to epidemiology. Because of the high predictability of human movements, numerous successful solutions to perform such forecasting have been proposed. However, most focus on predicting human displacements on an intra-urban spatial...

During the last years, the analysis of spatio-temporal data extracted from Online Social Networks (OSNs) has become a prominent course of action within the human-mobility mining discipline. Due to the noisy and sparse nature of these data, an important effort has been done on validating these platforms as suitable mobility proxies. However, such a...

In recent years, there has been an increasing interest in the exploitation of geo-tagged documents posted on Online Social Networks (OSN) for human-mobility pattern mining. These patterns can ease the development of effective and intelligent location-based systems of different scenarios. However, the validation of OSN geo-data as a reliable source...

The management of the COVID-19 pandemic has been shown to be critical for reducing its dramatic effects. Social sensing can analyse user-contributed data posted daily in social-media services, where participants are seen as Social Sensors. Individually, social sensors may provide noisy information. However, collectively, such opinion holders consti...

The management and collection of household waste often represents a demanding task for elderly or impaired people. In particular, the increasing generation of plastic waste at home may pose a problem for these groups, as this type of waste accumulates very rapidly and occupies a considerable amount of space. This paper proposes a collaborative infr...

We are witnessing an increasing need to accurately measure people’s mobility as it has become an instrumental factor for the development of innovative services in multiple domains. In this context, several ICT solutions have relied on location-based technologies such as GPS, WiFi or Bluetooth to track individuals movements. However, these technolog...

Floods are expected to increase in the coming years due to global warming. The early identification of water-based disasters can be life-saving, and the challenge is to identify appropriate and timely warning measures. Social media tools such as Twitter provide citizens with a real-time communication channel for reporting problems related to our en...

Constructed wetlands (CWs) are engineering systems recognized as an efficient and sustainable option to wastewater treatment. Due to the growing interest in CWs for waste management, the number of works analyzing their footprint and impact has risen in the last years. Thus, the study of these systems and their components in construction, operation,...

The population of Western countries has notoriously aged during the last decades, thus increasing the number of people living in retirement houses. This causes that, in certain circumstances, the staff of these residences can not properly take care of all the users due to several situations. For that reason, the usage of solutions based on Informat...

Nowadays, cities are the most relevant type of human settlement and their population has been endlessly growing for decades. At the same time, we are witnessing an explosion of digital data that capture many different aspects and details of city life. This allows detecting human mobility patterns in urban areas with more detail than ever before. In...

The DIA-DB is a web server for the prediction of diabetes drugs that uses two different and complementary approaches; a) comparison by shape similarity against a curated database of approved anti-diabetic drugs and experimental small molecules, and b) inverse virtual screening of the input molecules chosen by the users against a set of therapeutic...

Learning Management System (LMS) platforms have led to a transformation in Universities in the last decade, helping them to adapt and expand their services to new technological challenges. These platforms have made possible the expansion of distance education. A current trend in this area is focused on the evaluation and improvement of the students...

Development of Intelligent Environments have been so far mostly ad-hoc and here we investigate one fundamental bottleneck which needs to be addressed to facilitate more effective developments in the future: handling of user preferences in a multiple user environment. This paper analyzes some cases which combine different approaches to manage users...

Contribution This study reveals that the programming paradigm is relevant to obtain advanced programming skills. Background Parallel computing has become mandatory for computer science students. The increasing amount of computational resources required by emerging applications need experienced programmers that fully exploit hardware resources. How...

Road traffic pollution is one of the key factors affecting urban air quality. There is a consensus in the community that the efficient use of public transport is the most effective solution. In that sense, much effort has been made in the data mining discipline to come up with solutions able to anticipate taxi demands in a city. This helps to optim...

Intelligent Environments and other Computer Science sub-fields based on the concepts of context and context-awareness are created with the explicit or implicit intention of providing services which are satisfying to the intended users of those environments. This article discusses the pragmatic importance of Preferences within the process of develop...

Nowadays, cities are dynamic ecosystems where urban changes occur at a very fast pace. Hence, social sensing has become a powerful tool to uncover the actual land-use of a metropolis. However, current solutions for land-use discovery based on user-generated data usually rely on an information retrieval mechanism applied on a textual corpus. This ca...

The constant innovation in new technologies and the increase in the use of computing devices in different areas of the society have contributed to a digital transformation in almost every sector. This digital transformation has also reached the world of education, making it possible for members of the educational community to adopt Learning Managem...

Several of the geometric solutions obtained from the funicular design of submerged plane arches reach their critical buckling loads under service conditions. Consequently, the arch geometry must be modified, and then, the bending moment increases considerably. Previous works have shown that the funicular shape of a submerged arch is close to either...

Today, more than 92% of travel information searches are carried out on the Internet. In fact, the use of Information and communication Technologies is a constant in any area of the tourism industry. nevertheless, the myriad of travel websites and mobile applications can also cause disorientation and slower decision making by tourists, as well as th...

he eventual aim when applying digital technologies in agriculture is to replace or reduce the human labor required for agricultural production. Large amounts of heterogeneous data are essential for integration studies of automated agriculture, and the digitalization of agriculture is helping to fulfill the demand for this data, but management of th...

Today, more than 92% of travel information searches are carried out on the Internet. In fact, the use of Information and Communication Technologies is a constant in any area of the tourism industry. Nevertheless, the myriad of travel websites and mobile applications can also cause disorientation and slower decision making by tourists, as well as th...

Learning Management Systems (LMS) have become the principal resource for collaboration among lecturers and students in Higher Education. A research line is the analysis of LMS users’ behaviour with the goal of developing new methodological proposals to improve the teaching process. In particular, this paper analyses the lecturers’ behaviour and pro...

Ambient intelligence (AmI) is intrinsically and thoroughly connected with artificial intelligence (AI). Some even say that it is, in essence, AI in the environment. AI, on the other hand, owes its success to the phenomenal development of the information and communication technologies (ICTs), based on principles such as Moore's law. In this paper we...

The Internet of Things (IoT) is driving the next economic revolution where the main actors are both the data volume and the immediacy. However, the IoT world is increasingly generating vast amounts of data classified as a "dark data", since most of them are generated but never analysed. Therefore, efficient big data analysis in IoT infrastructure i...

In recent years, learning management systems (LMSs) have played a fundamental role in higher education teaching models. A new line of research has been opened relating to the analysis of student behavior within an LMS, in the search for patterns that improve the learning process. Current e-learning platforms allow for recording student activity, th...

Novel cooperative intelligent transportation systems (ITS) serve as the basis for the provision of a number of services for drivers, occupants, and third parties. The vast amount of information to be collected, especially in vehicle-to-infrastructure (V2I) communication services, requires new algorithms and hardware platforms to cope with real-time...

Understanding the importance of preference management in ambient intelligent environments is key to providing systems that are better prepared to meet users’ expectations. This survey provides an account of the various ways that preferences have been handled in Artificial Intelligence. Our analysis indicates that most of those techniques lack the a...

Learning Management Systems (LMS) have become the principal resource for the distribution of educational material and collaboration among lecturers and students in Higher Education. The potential of these platforms does not limit to a simple manager of contents, but they also offer a wide range of tools that support the development of different met...

Air-pollution is one of the main threats for developed societies. According to the World Health Organization (WHO), pollution is the main cause of deaths among children aged under five. Smart cities are called to play a decisive role to improve such pollution by first collecting, in real-time, different parameters such as SO2, NOx, O3, NH3, CO, PM1...

Argumentation has provided a means to deal with inconsistent knowledge. We explore the potential of argumentation to handle conflicting user preferences. Classical preference handling methods in Artificial Intelligence (AI) lack the ability to handle ambiguity and the evolution of preferences over time. Previous experiments conducted by the authors...

Soil libraries represent an invaluable resource in terms of research, management or planning. However, the access to such libraries and selection of soils is often tedious and time consuming thus limiting their usefulness. In this study we propose an ontology-based approach for an efficient and intuitive selection and classification of soils. For t...

Buildings are becoming more intelligent as physical environments, whose operations can be more intuitively and automatically tagged, sensed and controlled to adapt to changing physical environment conditions and the human behaviour of its inhabitants. We can imagine that 10 years in the future, workplaces and habitats will be even more sensor-drive...

La interacción en Entornos Virtuales de Aprendizaje (EVA) está enfocada principalmente a mejorar la experiencia de uso y resultados académicos del alumnado. Sin embargo, no se debe descuidar la interacción del resto de actores del proceso educativo con estas plataformas, tales como el profesorado y los coordinadores. Este trabajo se centra en la in...

This paper proposes a technological solution to improve the user experience of any Learning Management System (LMS), providing resource recommendation and personalization through user profiling. Because of the different types of Learning Management Systems that are been used nowadays in academic world, we propose a standardized solution able to int...

Abstract. ZINC database contains one of the biggest collection of pur- chasable compounds from the web, and it is freely accessible and widely used by tens of thousands of researchers all around the world. Users in the need for filtering compounds with certain molecular properties can use ZINC server for such purpose, being the main limitation that...

The protein-folding problem has been extensively studied during the last fifty years. The understanding of the dynamics of global shape of a protein and the influence on its biological function can help us to discover new and more effective drugs to deal with diseases of pharmacological relevance. Different computational approaches have been develo...

This paper proposes recommendation services and user profiling features in Learning Management Systems (LMS) by means of a semantic intelligent system combining context information and expert knowledge. LMS users’ context is represented through an ontology model called OntoSakai. It consists of four ontologies parceling different areas of the learn...