Alberto Fernández-Isabel

Alberto Fernández-Isabel
King Juan Carlos University | URJC · Departamento de Ciencias de la Computación

PhD

About

42
Publications
6,375
Reads
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198
Citations
Introduction
I have a PhD in Computer Science at Complutense University of Madrid. My research interests are intelligent agents, road traffic, model-driven development and natural language processing. I want to improve my skills and I would like to participate in other European researches. Member of AEPIA since 2015.
Additional affiliations
February 2016 - present
Complutense University of Madrid
Position
  • Researcher
February 2016 - September 2016
Complutense University of Madrid
Position
  • Research Assistant
January 2010 - December 2015
Complutense University of Madrid
Position
  • PhD Student

Publications

Publications (42)
Article
Full-text available
Intelligent Transportation Systems (ITSs) integrate information, sensor, control, and communication technologies to provide transport related services. Their users range from everyday commuters to policy makers and urban planners. Given the complexity of these systems and their environment, their study in real settings is frequently unfeasible. Sim...
Article
Full-text available
Traffic is a key aspect of everyday life. Its study, as it happens with other complex phenomena, has found in simulation a basic tool. However, the use of simulations faces important limitations. Building them requires considering different aspects of traffic (e.g. urbanism, car features, and individual drivers) with their specific theories, that m...
Article
Full-text available
Road traffic is an important phenomenon in modern societies. The study of its different aspects in the multiple scenarios where it occurs is relevant for a huge number of problems. At the same time, its scale and complexity make it hard to study. Traffic simulations can alleviate these difficulties, simplifying the scenarios to consider and control...
Conference Paper
Full-text available
Road traffic is a daily component of life in our societies. Researchers have made of simulations a key tool to study it. Their development still has to deal with the difficulties arising from the heterogeneity of the underlying theories, contexts, and goals. This frequently demands multiple profiles in development teams, which causes communication...
Conference Paper
Full-text available
Traffic is a phenomenon of high relevance for modern societies. Its study faces researchers with important challenges due to its complexity: it involves large numbers of heterogeneous vehicles, with drivers having different skills and attitudes, in a dynamic environment that is both artificial and natural, and subject to complex regulations. To add...
Article
Full-text available
Intelligent systems have been developed for years to solve specific tasks automatically. An important issue emerges when the information used by these systems exhibits a dynamic nature and evolves. This fact adds a level of complexity that makes these systems prone to a noticeable worsening of their performance. Thus, their capabilities have to be...
Article
The scientific and business communities are proposing new authentication methods more robust than traditional solutions relying on a single security point such as passwords (i.e. “something you know”). User and Entity Behavior Analysis (UEBA) has postulated as an excellent solution to improve authentication systems by performing continuous authenti...
Chapter
Misinformationhas always existed in our society. In these days, the emergence of technological development and the appearance of social networks, pseudo-newspapers and blogs, has aggravated this problem by facilitating the rapid spread of fake news. This fact eases the use of misinformation as a vector of attack on huge communities, which may even...
Article
Misinformation is a recurring problem that has experienced a significant growth in recent years due to the rapid development of the Internet. This development has driven the emergence of websites where their content is shared without control. This is even more dangerous in the health domain, given its specific nature and the increasing number of us...
Article
As society develops, the number of published research articles raises. Besides, the pressure to publish has been increased because the competitiveness between researchers working on similar topics. Although this increment is desirable, it leads to multiple issues. At a reader level, insurmountable barriers to keep up with the state of the art appea...
Article
Full-text available
Significant research has been carried out in the field of User Behavior Analysis, focused on understanding, modeling and predicting past, present and future behaviors of users. However, the heterogeneity of the approaches makes their comprehension very complicated. Thus, domain and Machine Learning experts have to work together to achieve their obj...
Article
Full-text available
Early in 2020, an unexpected and hazardous situation occurred threatening and challenging all of humankind. A new coronavirus called SARS-CoV-2 was first identified in Wuhan, China, and its related disease, called COVID-19, has induced one of the most dangerous crises at a global level since World War II. The ultra-fast transmission rate of the vir...
Article
User and Entity Behaviour Analytics (UEBA) mechanisms rely on statistical techniques and Machine Learning to determine when a significant deviation from patterns or trends established as a standard for users and entities is occurring. These mechanisms are beneficial within cybersecurity contexts because they allow managers and administrators to hav...
Article
Misinformation has always existed in society. Nowadays, the technological development and the appearance of social networks, pseudo-newspapers and blogs, have aggravated this problem by facilitating the rapid spread of malicious news. This fact makes it easier to use disinformation as an attack vector for huge communities. This has led to the devel...
Article
Full-text available
Nowadays, fraudulent and malicious websites are emerging as a harmful and very common problem on the Internet. It causes huge money losses and irreparable damage for both companies and particulars. To face this situation, governments have approved multiple law projects. This way, the legality on the Internet is being enforced and sanctions to those...
Article
The volume of published papers provided by the scientific community has increased over the last years in a drastic way. This fact has led to having a considerable growth of the topics covered by different publications. Despite topics under discussion on these publications were usually regarded as cutting edge subjects when released in conferences a...
Article
Nowadays, Machine Learning (ML) models are becoming ubiquitous in today’s society, supporting people with their day-to-day decisions. In this context, Explainable ML is a field of Artificial Intelligence (AI) that focuses on making predictive models and their decisions interpretable by humans, enabling people to trust predictive models and to under...
Chapter
Nowadays, the rise of the interconnected computer networks and the increase of processed data have led to producing distributed systems. These systems usually separate multiple tasks into other simpler with the goal of maintaining efficiency. This paradigm has been observed for a long time in different animal organisations as insect colonies and fi...
Article
Millions of passengers travel every day, border crossing being one of their most common activities. At these points it is extremely important that security is completely guaranteed. However, the maintaining adequate security levels is a very demanding issue. This has promoted the development of systems capable of providing support to border authori...
Article
The analysis of human behavior is a popular topic of research since it allows obtaining specific information about individuals, their motivations, and the problems and difficulties they can encounter. Human behavior can be grouped to elaborate profiles that would enable the classification of individuals. Nevertheless, the elaboration of profiles re...
Article
Smart Roads are systems that are changing road traffic through the use of information in real time. They use sensor and actuator networks deployed on people and the surrounding environment. Such networks are complex systems with distributed configurations. This issue causes difficulties in their development and configuration. To alleviate these pro...
Chapter
Explainable Machine Learning is an emerging field in the Machine Learning domain. It addresses the explicability of Machine Learning models and the inherent rationale behind model predictions. In the particular case of example-based explanation methods, they are focused on using particular instances, previously defined or created, to explain the be...
Conference Paper
Nowadays the rise of Internet of Things (IoT) has led the use of a wide variety of sensor types able to collect multiple types of data. In order to manage this heterogeneous data and gather knowledge, it is useful to combine different sources of information. In this paper, a methodology to detect outliers combining several sources of information at...
Article
Full-text available
Shared spaces are gaining presence in cities, where a variety of players and mobility types (pedestrians, bicycles, motorcycles, and cars) move without specifically delimited areas. This makes the traffic they comprise challenging for automated systems. The information traditionally considered (e.g., streets, and obstacle positions and speeds) is n...
Article
Full-text available
Voice transmission is no longer the main usage of mobile phones. Data transmissions, in particular Internet access, are very common actions that we might perform with these devices. However, the spectacular growth of the mobile data demand in 5 G mobile communication systems leads to a reduction of the resources assigned to each device. Therefore,...
Chapter
Full-text available
City traffic is getting more multi-modal, with a variety of actors and mobility options in mixed spaces. This makes decisions on traffic behaviour and control more complex. Beyond traditionally considered aspects (e.g. traffic state or used vehicle), human aspects (e.g. physical state, displacement goal, or companion), gain increasing relevance. Th...
Article
The scientific community represents an insatiable network with important needs related to the searching of information. The ever-broadening amount of domain-scientific on-line information that can be found requires increasingly sophisticated frameworks to manage it. Nevertheless, these frameworks are usually focused on specific useful functionaliti...
Article
The evaluation of subjective data is a very demanding task. The classification of the information gathered from human evaluators and the possible high noise levels introduced are ones of the most difficult issues to deal with. This situation leads to adopt individuals who can be considered as experts in the specific application domain. Thus, the de...
Article
Sentiment analysis is focused on detecting opinions and emotions directly linked to relevant topics in textual data. Its application for the automated analysis of large datasets with text from websites has become a major challenge today. Common approaches proposed for this task are based on predefined dictionaries of words, each one tagged with a p...
Article
Full-text available
Road traffic and its influence over individuals is an important aspect of our life nowadays. Its study in order to understand its dynamics and the factors that affect it is a relevant field of research. Traffic simulations have become a fundamental tool for these studies. They provide a controlled environment to analyse traffic settings. However, t...
Conference Paper
Full-text available
Automatic extraction of semantic information from unstructured text has always been an important goal of natural language processing. While the best structure for semantic information is still undecided, graph-based representations enjoy a healthy following. Some of these representations are extracted directly from the text and external knowledge,...
Thesis
Full-text available
Road traffic is a very important phenomenon in modern societies, which makes its study highly relevant in multiple contexts. The complexity of the relationships among the people and other objects involved in it, along with the number and heterogeneity of variables and parameters that affect it, renders their analysis in real settings complex and co...
Conference Paper
Full-text available
The acquisition of competencies for teamwork is gaining relevance in higher education curricula. However, lecturers face increasing difficulties to monitor and guide the student evolution regarding these issues. As opposed to traditional face-to-face interactions in classrooms, the current educational context promotes students’ autonomy to organize...
Article
Full-text available
El tráfico y su control es un tema que presenta gran interés en la actualidad dada su influencia en las sociedades modernas. La realización de simulaciones se ha convertido en una herramienta clave para su estudio. Estas simulaciones investigan cómo influyen sobre el tráfico ciertos aspectos físicos y comportamientos de los conductores, así como su...

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Projects

Projects (2)
Project
Development of a library based on Natural Language Processing (NLP).