Agapito Ismael Ledezma Espino

Agapito Ismael Ledezma Espino
University Carlos III de Madrid | UC3M · Department of Computer Science and Engineering

PhD in Computer Science

About

153
Publications
41,116
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1,482
Citations
Additional affiliations
October 1998 - December 2012
Universidad Carlos III de Madrid

Publications

Publications (153)
Article
Full-text available
Micro aerial vehicle (MAV) fleets have gained essential recognition in the decision schemes for precision agriculture, disaster management, and other coverage missions. However, they have some challenges in becoming massively deployed. One of them is resource management in restricted workspaces. This paper proposes a plan to balance resources when...
Article
Energy Poverty (EP) is a widespread problem in Europe. EP detection is hampered by a lack of data and global metrics. Recently, innovative approaches using Artificial Intelligent (AI) techniques have been increasingly applied for the EP alleviation. In this work, studies focused on the application of AI on EP were studied. It was identified that th...
Conference Paper
Full-text available
In this work, a conceptual framework based on Fuzzy Logic for identifying Energy Poverty situations in Getafe (Spain) is presented. The resulted model uses twelve input variables for obtaining the level of Energy Poverty. The input variables were defined around the three key drivers commonly used for the Energy Poverty characterization: low incomes...
Article
Full-text available
COVID-19 has not affected all countries equally: developing countries have been more disadvantaged by the pandemic. Regarding global development, the COVID-19 pandemic has forced a step back in the path to attaining the Sustainable Development Goals (SDGs). The SDGs most negatively affected by the pandemic are identified here. Then using the SDGs a...
Article
Ensembles of classifiers is a proven approach in machine learning with a wide variety of research works. The main issue in ensembles of classifiers is not only the selection of the base classifiers, but also the combination of their outputs. According to the literature, it has been established that much is to be gained from combining classifiers if...
Article
Full-text available
Car accidents are one of the top ten causes of death and are produced mainly by driver distractions. ADAS (Advanced Driver Assistance Systems) can warn the driver of dangerous scenarios, improving road safety, and reducing the number of traffic accidents. However, having a system that is continuously sounding alarms can be overwhelming or confusing...
Article
El proyecto ROBO-TIC 1.0, adjudicado en la XI Convocatoria de Ayudas para Proyectos de Cooperación de la UC3M, ejecutado por la Unidad de Investigación y Desarrollo Tecnológico (UIDT) de la UNAN-Managua, FAREM-Carazo en conjunto con el grupo e-cud, promoviendo la Micro Robótica Educativa (MRE) y las Tecnología de la Información y la Comunicación (T...
Article
Full-text available
Different systems based on Artificial Intelligence (AI) techniques are currently used in relevant areas such as healthcare, cybersecurity, natural language processing, and self-driving cars. However, many of these systems are developed with “black box” AI, which makes it difficult to explain how they work. For this reason, explainability and interp...
Chapter
Most of the time, a pipeline of Extract-Transform-Load (ETL) processes composes a model that constitutes the core of new active safety systems approaches. Nowadays, the inspection of driver behavior during the performance of dynamic driving tasks is included in reasoning models to enhance the ergonomics of active safety systems. Moreover, aspects c...
Article
Full-text available
La necesidad de explorar y explotar los datos "Sin datos, sólo eres otra persona con una opinión"-W. Edwards Deming-H ace poco más de cuarto de siglo, cuando aún estaba cursando mis estudios de ingeniería y el Internet estaba irrumpiendo en el ámbito académico en la región, solía incluir en la mayoría de mis trabajos académicos la frase tan socorri...
Article
The crop data acquisition with unmanned aerial vehicles is a popularized alternative to manage the agricultural processes, due to data emerging from portable sensors for image-gathering. Nevertheless, most unmanned aerial vehicles for data acquisition excess the cost of hundreds of dollars, making them inappropriate for small agricultural producers...
Article
Recently, advances in Information Technologies (social networks, mobile applications, Internet of Things, etc.) generate a deluge of digital data; but to convert these data into useful information for business decisions is a growing challenge. Exploiting the massive amount of data through knowledge discovery (KD) process includes identifying valid,...
Article
Flood problems are complex phenomena with a direct relationship with the hydrological cycle; these are natural processes occurring in water systems, that interact at different spatial and temporal scales. In modeling the hydrological phenomena, traditional approaches, like physics-based mathematical equations and data-driven modeling (DDM) are used...
Poster
Full-text available
La incorporación de la minería de datos al análisis de los estudios de fluctuación poblacional de insectos es una oportunidad para poder predecir, dado un conjunto de variables ambientales, cuál será el comportamiento de una determinada plaga agrícola o un vector de enfermedades durante un determinado periodo del año.
Chapter
Full-text available
El objetivo de este trabajo es tener una aproximación descriptiva de la evolución y rasgos generales que ha tenido la inteligencia artificial (IA) y el Big Data aplicado a nivel educatvo, en los principales escenarios de producción científica indexados en Web of Science (WoS).
Chapter
Full-text available
In the Department of Cauca (Colombia), there is evidence of low efficiency in the process of generating silk cocoons by small and medium producers due to the manual monitoring of worms natural growth; traditionally, a person without an advanced technical knowledge but with empirical experience has evaluated the appropriate feeding time based on the...
Chapter
RoboCup is an international scientific initiative with the goal to advance the state of the art of intelligent robots. RoboCup offers an integrated research task covering broad areas of Artificial Intelligence and robotics. Within this competition and without the necessity to maintain any robot hardware, the RoboCup Simulation League is focused on...
Conference Paper
Multivariate analysis (MV) and data mining (DM) techniques were applied to a small water quality dataset obtained from the surface waters at three water quality monitoring stations in the Petaquilla River Basin, Panama, during the hydrological period of 2008 through 2011 for the assessment and understanding of the ongoing environmental stress withi...
Article
The Quality of Service (QoS) is a continuous challenge issue in the telecommunication industry, mainly for having an impact on telco services provision. Traffic Classification, Traffic Marking, and Policing are general stages of QoS managing. Different approaches have focused on Traffic Classification and Traffic Marking, which machine learning alg...
Article
Full-text available
The data preprocessing is an essential step in knowledge discovery projects. The experts affirm that preprocessing tasks take between 50% to 70% of the total time of the knowledge discovery process. In this sense, several authors consider the data cleaning as one of the most cumbersome and critical tasks. Failure to provide high data quality in the...
Article
Recently, available data has increased explosively in both number of samples and dimensionality. The huge number of high dimensional data generates the presence of noisy, redundant and irrelevant dimensions. Such dimensions can increase the time and computational cost in the learning process and even degenerate the performance of learning tasks. On...
Article
Full-text available
Today, data availability has gone from scarce to superabundant. Technologies like IoT, trends in social media and the capabilities of smart-phones are producing and digitizing lots of data that was previously unavailable. This massive increase of data creates opportunities to gain new business models, but also demands new techniques and methods of...
Article
This article contains a multivariate analysis (MV), data mining (DM) techniques and water quality index (WQI) metrics which were applied to a water quality dataset from three water quality monitoring stations in the Petaquilla River Basin, Panama, to understand the environmental stress on the river and to assess the feasibility for drinking. Princi...
Article
This paper presents an evolving cloud-based algorithm for the recognition of drivers' actions. The general idea is to detect different manoeuvres by processing the standard signals that are usually measured in a car, such as the speed, the revolutions, the angle of the steering wheel, the position of the pedals, and others, without additional intel...
Article
In the competitive telecommunications market, the information that the mobile telecom operators can obtain by regularly analysing their massive stored call logs, is of great interest. Although the data that can be extracted nowadays from mobile phones have been enriched with much information, the data solely from the call logs can give us vital inf...
Conference Paper
Missing hydrometric data is a critical issue for water resources management projects and problems related to flow damage and risk assessment. Though numerous ways can be found in the literature to impute them (i.e. Box-Jenkins models, Linear regression models, case deletion, listwise and pairwise deletion, etc.), not all will render effective on a...
Conference Paper
Rust is the most economically important coffee disease in the world. Coffee rust epidemics have affected a number of countries including: Colombia, Brazil and Central America. Researchers try to predict the Incidence Rate of Rust (IRR) through supervised learning models, nevertheless the available IRR measurements are few, then the data set does no...
Article
Full-text available
In this article, we describe an approach to computational modeling and autonomous learning of the perception of sensory inputs by individuals. A hierarchical process of summarization of heterogeneous raw data is proposed. At the lower level of the hierarchy, the raw data autonomously form semantically meaningful concepts. Instead of clustering base...
Conference Paper
RENet es un proyecto de cooperación internacional al desarrollo enmarcado dentro del Programa EDULINK: ACP-EU Higher Education Cooperation, financiado por la Unión Europea e implementado por el secretariado ACP. RENet centra su objetivo general en el fortalecimiento de la educación superior de calidad, la creación de capacidad docente/investigadora...
Conference Paper
Full-text available
This paper presents a rule-based alarm system as part of an ADAS. This work is developed by using a multiagent framework, and it focuses on the driving safety, in particular, in urban environments. The main point of the proposed system is that it takes decisions based on the fusion of the information from the driver, the vehicle status and the stat...
Article
Freshwater is considered one of the most important renewable natural resources of the planet. In this sense, it is vital to study and evaluate the water quality in rivers and basins. The USA and especially the border states like California face the same water problems as its southern neighbours, such as the deterioration of public drinking water sy...
Article
Time series forecasting using data mining models applied to various time sequence data of a wide variety of domains has been well documented. In this work, time series of water level data recorded every hour at ‘Cristobal Bay’ in Panama during the years 1909–1980 are employed to construct a model(s) that can be suitable for predicting changes in se...
Conference Paper
Freshwater is considered one of the most important of planet’s renewable natural resources. In this sense, it is vital to study and evaluate the water quality in rivers and basins. A study area is Rio Piedras Basin, which is the main water supplier source of 9 rural communities in Colombia. Nevertheless, these communities do not make a water qualit...
Article
Rust is a disease that leads to considerable losses in the worldwide coffee industry. There are many contributing factors to the onset of coffee rust e.g. Crop management decisions and the prevailing weather. In Colombia the coffee production has been considerably reduced by 31% on average during the epidemic years compared with 2007. Recent resear...
Article
Full-text available
Large volume of data is growing because the organizations are continuously capturing the collective amount of data for better decision-making process. The most fundamental challenge is to explore the large volumes of data and extract useful knowledge for future actions through knowledge discovery tasks, nevertheless many data has poor quality. We p...
Article
This paper proposes a statistical framework to develop user-adapted spoken dialog systems. The proposed framework integrates two main models. The first model is used to predict the user's intention during the dialog. The second model uses this prediction and the history of dialog up to the current moment to predict the next system response. This pr...
Article
Full-text available
Large Volume of Data is growing because the organizations are continuously capturing the collective amount of data for better decision-making process. The most fundamental challenge is to explore the large volumes of data and extract useful knowledge for future actions through data mining and data science methodologies. Nevertheless these not tackl...
Article
This paper presents a proposal for information gathering from crops by means of a low-cost quadcopter known as the AR Drone 2.0. To achieve this, we designed a system for remote sensing that addresses challenges identified in the present research, such as acquisition of aerial photographs of an entire crop and AR Drone navigation on non-planar area...
Article
In this work, we formalise and evaluate an ensemble of classifiers that is designed for the resolution of multi-class problems. To achieve a good accuracy rate, the base learners are built with pairwise coupled binary and multi-class classifiers. Moreover, to reduce the computational cost of the ensemble and to improve its performance, these classi...
Article
Online news has become one of the major channels for Internet users to get news. News websites are daily overwhelmed with plenty of news articles. Huge amounts of online news articles are generated and updated everyday, and the processing and analysis of this large corpus of data is an important challenge. This challenge needs to be tackled by usin...
Conference Paper
Full-text available
Rust is a disease that leads to considerable losses in the worldwide coffee industry. In Colombia, the disease was first reported in 1983 in the department of Caldas. Since then, it spread rapidly through all other coffee departments in the country. Recent research efforts focus on detection of disease incidence using computer science techniques su...
Article
Over the last two decades, the machine learning and related communities have conducted numerous studies to improve the performance of a single classifier by combining several classifiers generated from one or more learning algorithms. Bagging and Boosting are the most representative examples of algorithms for generating homogeneous ensembles of cla...
Chapter
Recent Neural Network Architectures with a deep and complex structure and that rely on ensemble averaging have led to an improvement in isolated handwritten digit recognition. Here a specific set of input pattern transformations is presented that achieves good results with modestly sized Neural Networks. Using some heuristics for the construction o...
Conference Paper
An ensemble can be defined as a set of separately trained classifiers whose predictions are combined in order to achieve better accuracy. It is proved that ensemble methods improve the performance of individual classifiers as long as the members of the ensemble are sufficiently diverse. Much research has been done using different approaches in orde...
Article
A computer can keep track of computer users to improve the security in the system. However, this does not prevent a user from impersonating another user. Only the user behavior recognition can help to detect masqueraders. Also, knowledge about computer users can be very beneficial for assisting them or predicting their future actions. Under the UNI...
Article
In this work, we present Simul-A2, a simulator based on a multi-agent architecture. Using this simulator, we can make test with Advanced Driver Assistance Systems (ADAS). Simul-A2 has been developed using Webots and libraries that have been developed by ROS Project. In order to introduce more realism, the virtual worlds in the simulator contain sev...
Conference Paper
In this paper we present a statistical approach based on evolving Fuzzy-rule-based (FRB) classifiers for the development of dialog managers for spoken dialog systems. The dialog managers developed by means of our proposal select the next system action by considering a set of dynamic fuzzy rules that are automatically obtained by means of the applic...
Conference Paper
The customized marketing is an increasing area where users are progressively demanding and saturated of massive advertising, which has a really low success rate and even discourage the purchase. Furthermore, another important issue is the smash hit of mobile applications in the most known platforms (Android and iPhone), with millions of downloads w...
Conference Paper
Online news has become one of the major channels for Internet users to get news. Modern society generates huge amounts of online newspapers every day. Thus, the processing and analysis of this information is an important challenge. In this paper, we present an approach for classifying different news articles into various topic areas based on the te...
Conference Paper
This paper presents a novel agent-based system focused on high level reasoning as part of the development of Advanced Driver Assistance Systems. This approach focuses on the driving safety, in particular, in urban environments in electric urban cars. The main point of the proposed approach is that it takes decisions based on the fusion of the infor...
Conference Paper
This paper proposes a statistical methodology based on evolving Fuzzy-rule-based (FRB) classifiers to develop dialog managers for spoken dialog systems. The dialog managers developed by means of our proposal select the next system action by considering a set of dynamic rules that are automatically obtained by means of the application of the FRB cla...
Conference Paper
Time series forecasting plays an important role in many fields such as economics, finance, business intelligence, natural sciences, and the social sciences. This forecasting task can be achieved by using different techniques such as statistical methods or Artificial Neural Networks (ANN). In this paper, we present two different approaches to time s...
Article
Full-text available
Coffee production is the main agricultural activity in Colombia. More than 350.000 Colombian families depend on coffee harvest and have had to face the severe consequences of the coffee rust disease since it was first reported in the country in 1983. Recently, machine learning approaches have built a dataset for monitoring the coffee rust incidence...
Article
Full-text available
Understanding what others have done, are doing or will do is an inherent characteristic of an intelligent behavior. Nowadays, human beings cannot only interact with them but also with “artificial entities” such as robots or computer applications. Although there is not an artificial device with a behavior similar to the human brain, as Alan Turing p...
Chapter
ConsScale is a framework for the characterization and measurement of the level of cognitive development in artificial agents. The scale is inspired by an evolutionary perspective of the development of consciousness in biological organisms. In this context, consciousness is considered as an evolutionary advantage that provides the individual with a...