Produção Nacional
Ivete Maria Cattani, Júlia Baruque-Ramos,
Tópico(s): Urban and sociocultural dynamics
2016 - Springer Nature (Netherlands) | Rilem bookseries
Emilio Corchado, Bruno Baruque, Hujun Yin,
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping models with some basic classifier ensemble and boosting techniques in order to increase the stability conditions and, as an extension, the classification capabilities of the former. A study and comparison of the performance of some novel and classical ensemble techniques are presented in this paper to test their suitability, ...
Tópico(s): Image Retrieval and Classification Techniques
2007 - Springer Science+Business Media | Lecture notes in computer science
Produção Nacional
Amanda Sousa Monteiro, Júlia Baruque-Ramos,
Ubuçu (Manicaria saccifera Gaertn.) is a palm tree found in the Brazilian territory and throughout South America, mainly in the Amazon Forest biome. Tururi, a sack that protects the fruits and hangs from the branches of Ubuçu, is a vegetal fiber material with great use potential. Ecodesign studies are focusing on new sustainable products and there is a growing demand for the use of biodegradable and sustainable materials. The Ubuçu palm tree and tururi's characteristics; its collection, processing ...
Tópico(s): Urban and sociocultural dynamics
2016 - Springer Nature (Netherlands) | Rilem bookseries
Bruno Baruque, Emilio Corchado, Aitor Mata, Juan M. Corchado,
Tópico(s): Time Series Analysis and Forecasting
2009 - Springer Science+Business Media | Lecture notes in computer science
Bogdan Gabryś, Bruno Baruque, Emilio Corchado,
Statistical re-sampling techniques have been used extensively and successfully in the machine learning approaches for generation of classifier and predictor ensembles. It has been frequently shown that combining so called unstable predictors has a stabilizing effect on and improves the performance of the prediction system generated in this way. In this paper we use the re-sampling techniques in the context of Principal Component Analysis (PCA). We show that the proposed PCA ensembles exhibit a much ...
Tópico(s): Anomaly Detection Techniques and Applications
2006 - Springer Science+Business Media | Lecture notes in computer science
Bruno Baruque, Emilio Corchado, Jordi Rovira, Javier González,
Weighted Voting Superposition (WeVoS) is a novel summarization algorithm that may be applied to the results of an ensemble of topology preserving maps in order to identify the lowest topographical error in a map and thereby, to calculate the best possible visualization of the internal structure of its datasets. It is applied in this research to the food industry field that is studying the olfactory properties of Spanish dry-cured ham. The datasets used for the analysis are taken from the readings ...
Tópico(s): Advanced Chemical Sensor Technologies
2008 - Springer Science+Business Media | Lecture notes in computer science
Produção Nacional
Álvaro Herrero, Bruno Baruque, Fanny Klett, Ajith Abraham, Václav Snåšel, André C. P. L. F. de Carvalho, Pablo G. Bringas, Ivan Zelinka, Héctor Quintián, Emilio Corchado,
2013 - Springer Nature | Advances in intelligent systems and computing
Bruno Baruque, Emilio Corchado,
A novel method for improving the training of some topology preserving algorithms as the Scale Invariant Feature Map (SIM) and the Maximum Likelihood Hebbian Learning Scale Invariant Map (MAX-SIM) is presented and analyzed in this study. It is called Weighted Voting Superposition (WeVoS), providing two new versions, the WeVoS-SIM and the WeVoS-MAX-SIM. The method is based on the training of an ensemble of networks and the combination of them to obtain a single one, including the best features of each ...
Tópico(s): Neural Networks and Applications
2009 - Springer Science+Business Media | Advances in intelligent and soft computing
Bruno Baruque, Emilio Corchado,
The main concept behind ensemble learning model is the simple intuitive idea of a committee of experts working together to solve a problem. In all likelihood, when dealing with a complicated problem, a group of experts with varied experience in the same area will have a higher probability of reaching a satisfactory solution than a single expert. All members contribute their own experience and initiatives and the group as a whole can choose to uphold or to reject a new idea on its own merits. In ...
Tópico(s): Neural Networks and Applications
2010 - Springer Nature | Studies in computational intelligence
Bruno Baruque, Ana María Lara Palma,
The University of Burgos (UBU) offers eleven Programs of Doctorate and, the Doctorate School, as its managing office, has been evolving towards a space where knowledge, reflection, learning and innovation coexist from its creation in 2012, until this point in time. Derived benefits from it are multiple, such that students reach their maximum academic level with the Doctorate Title, and their research and impact publications contribute to improve the nearby socio-economic surroundings. Consequently, ...
Tópico(s): Higher Education and Employability
2020 - Springer Nature | Advances in intelligent systems and computing
Produção Nacional
Welton Fernando Zonatti, Júlia Baruque-Ramos, Wânia Duleba,
Tópico(s): Agricultural and Food Sciences
2016 - Springer Nature (Netherlands) | Rilem bookseries
Produção Nacional
Revisado por pares
André Grégio, Alexandre Or Cansian Baruque, Vitor Monte Afonso, Dario Simões Fernandes Filho, Paulo Lício de Geus, Mário Jino, Rafael Santos,
Malicious software attacks can disrupt information systems, violating security principles of availability, confidentiality and integrity. Attackers use malware to gain control, steal data, keep access and cover traces left on the compromised systems. The dynamic analysis of malware is useful to obtain an execution trace that can be used to assess the extent of an attack, to do incident response and to point to adequate counter-measures. An analysis of the captured malware can provide analysts with ...
Tópico(s): Software Engineering Research
2012 - Springer Science+Business Media | Lecture notes in computer science
Bruno Baruque, Emilio Corchado,
In this study ensemble techniques have been applied in the frame of topology preserving mappings with visualization purposes. A novel extension of the ViSOM (Visualization Induced SOM) is obtained by the use of the ensemble meta-algorithm and a later fusion process. This main fusion algorithm has two different variants, considering two different criteria for the similarity of nodes. These criteria are Euclidean distance and similarity on Voronoi polygons. The goal of this upgrade is to improve the ...
Tópico(s): 3D Surveying and Cultural Heritage
2007 - Springer Science+Business Media | Advances in intelligent and soft computing
Bruno Baruque, Álvaro Herrero,
Self-assessment capabilities, that enables the student to have an insight on his own learning process, are a very desirable skill on any higher education student. It is even more important for transnational students as it allows them to successfully adapt to their new international learning environment. Present work proposes an online tool to help computer science students to develop their self-assessment skills while learning Java programming. It consists on a plug-in for the widely popular Moodle ...
Tópico(s): Innovative Teaching and Learning Methods
2015 - Springer Nature | Advances in intelligent systems and computing
Bruno Baruque, Esteban Jove, Santiago Porras, José Luis Calvo‐Rolle,
The present research work deals the model creation obtaining for power generation prediction of a small-wind turbine, based on the atmospheric variables of its location. For testing purposes, a real dataset has been obtained of a bio-climate house located in Sotavento Experimental Wind Farm in the north of Spain. A deep study of the system and atmospheric variables has been performed. Then, some different regression techniques have been tested for accomplishing prediction, obtaining excellent results.
Tópico(s): Wind Energy Research and Development
2020 - Springer Nature | Advances in intelligent systems and computing
Produção Nacional
José Gaviria de la Puerta, Iván García Ferreira, Pablo G. Bringas, Fanny Klett, Ajith Abraham, André C. P. L. F. de Carvalho, Álvaro Herrero, Bruno Baruque, Héctor Quintián, Emilio Corchado,
This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2014, CISIS 2014 and ICEUTE 2014, all conferences held in the beautiful and historic city of Bilbao
2014 - Springer Nature | Advances in intelligent systems and computing
Guillermo A. Calvo, Bruno Baruque, Emilio Corchado,
The present work is a study of the influence of the preprocessing stage on the classification performance of a face recognition analysis. To carry out this task have made tests in a full FRS, evaluating each of its four stages and including several advanced alternatives in preprocessing, such as illumination normalization through the Discrete Cosine Transformation or alignment by Enhanced Correlation Coefficient, among others. The main goal of this work is determining how those different preprocessing ...
Tópico(s): Face recognition and analysis
2013 - Springer Science+Business Media | Lecture notes in computer science
Aitor Mata, Bruno Baruque, Belén Pérez-Lancho, Emilio Corchado, Juan M. Corchado,
Forest fires represent a quite complex environment and an accurate prediction of the fires generated is crucial when trying to react quickly and effectively in such a critical situation. In this study, an hybrid system is applied to predict the evolution of forest fires. The Case-Based Reasoning methodology combined with a summarization of SOM ensembles algorithm has been used to face this problem. The CBR methodology is used as the solution generator in the system, reusing past solutions given ...
Tópico(s): Bayesian Modeling and Causal Inference
2010 - Springer Science+Business Media | IFIP advances in information and communication technology
Ma Belén Vaquerizo, Bruno Baruque, Emilio Corchado,
The Labour Scheduling problem in the context of any transport company is a complex optimization problem of that belongs to the class of NP-Hard problems. In these cases, it is not viable to try to find an exact solution and therefore, they require methods that assure the optimal management of the available resources in the tracing of the work calendars under the most suitable criteria of economy of times and costs. The main purpose of this research is to propose an efficient method to determine ...
Tópico(s): Scheduling and Optimization Algorithms
2012 - Springer Science+Business Media | Lecture notes in computer science
Bruno Baruque, Emilio Corchado,
This research presents a novel bio-inspired fusion algorithm based on the application of a topology preserving map called Visualization Induced SOM (ViSOM) under the umbrella of an ensemble summarization algorithm, the Weighted Voting Superposition (WeVoS). The presented model aims to obtain more accurate and robust maps, also increasing the models stability by means of the use of an ensemble training schema and a posterior fusion algorithm, been those very suitable for visualization and also classification ...
Tópico(s): Time Series Analysis and Forecasting
2010 - Springer Science+Business Media | Lecture notes in computer science
Leticia Curiel, Bruno Baruque, Carlos Dueñas, Emilio Corchado, Cristina Pérez-Tárrago,
This ongoing interdisciplinary research is based on the application of genetic algorithms to simplify the process of predicting the mortality of a critical illness called endocarditis. The goal is to determine the most relevant features (symptoms) of patients (samples) observed by doctors to predict the possible mortality once the patient is in treatment of bacterial endocarditis. This can help doctors to prognose the illness in early stages; by helping them to identify in advance possible solutions ...
Tópico(s): Advanced Statistical Process Monitoring
2011 - Springer Science+Business Media | Lecture notes in computer science
Emilio Corchado, Bruno Baruque, Bogdan Gabryś,
Statistical re-sampling techniques have been used extensively and successfully in the machine learning approaches for generations of classifier and predictor ensembles. It has been frequently shown that combining so called unstable predictors has a stabilizing effect on and improves the performance of the prediction system generated in this way. In this paper we use the re-sampling techniques in the context of a topology preserving map which can be used for scale invariant classification, taking ...
Tópico(s): Blind Source Separation Techniques
2006 - Springer Science+Business Media | Lecture notes in computer science
Silvia González, Javier Sedano, Álvaro Herrero, Bruno Baruque, Emilio Corchado,
In last decades there have been many proposals from the machine learning community in the intrusion detection field. One of the main problems that Intrusion Detection Systems (IDSs) - mainly anomaly-based ones - have to face are those attacks not previously seen (zero-day attacks). This paper proposes a mutation technique to test and evaluate the performance of several classifier ensembles incorporated to network-based IDSs when tackling the task of recognizing such attacks. The technique applies mutant ...
Tópico(s): Advanced Malware Detection Techniques
2011 - Springer Science+Business Media | Lecture notes in computer science
Aitor Mata, Emilio Corchado, Bruno Baruque,
In this paper, a forecasting system is presented. It predicts the presence of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning methodology. CBR systems are designed to generate solutions to a certain problem by analysing historical data where previous solutions are stored. The system explained includes a novel network for data classification and retrieval. Such network works as a summarization algorithm for the results of an ensemble of Self-Organizing Maps. ...
Tópico(s): Maritime Navigation and Safety
2008 - Springer Nature | Advances in soft computing
Santiago Porras, Esteban Jove, Bruno Baruque, José Luis Calvo‐Rolle,
The present research work deals the model creation obtaining for power generation prediction of a small-wind turbine, based on the atmospheric variables of its location. For testing purposes, a real dataset has been obtained of a bio-climate house located in Sotavento Experimental Wind Farm in the north of Spain. A deep study of the system and atmospheric variables has been performed. Then, some different regression techniques have been tested for accomplishing prediction, obtaining excellent results.
Tópico(s): Wind Energy Research and Development
2020 - Springer Science+Business Media | Lecture notes in computer science
Santiago Porras, Bruno Baruque, Belén Vaquerizo, Emilio Corchado,
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguish between legitimate mail and spam; in order to present the final user as much interesting information as possible. This study presents a novel hybrid intelligent system using both unsupervised and supervised learning that can be easily adapted to be used in an individual or collaborative system. The system divides the ...
Tópico(s): Text and Document Classification Technologies
2011 - Springer Science+Business Media | Lecture notes in computer science
Bruno Baruque, Emilio Corchado,
IntroductionA method for overcoming the influence of outlier samples in projection methods is described in this chapter, having been devised and tested as a proof of concept for the use of ensembles in combination with unsupervised learning.The main goal of all visualization techniques is to bring to the user a deeper understanding of a multi-dimensional data set by generating some kind of graphical representation that can be easily inspected by the naked eye, enabling the viewer to rapidly focus ...
Tópico(s): Anomaly Detection Techniques and Applications
2010 - Springer Nature | Studies in computational intelligence
Bruno Baruque, Emilio Corchado,
In the case of projection methods based on unsupervised learning, the problem of instability makes it difficult to devise an easy way of combining their results into a final solution. This is mainly because it is a global type of analysis, which means that very little information can be obtained once it has been completed. This chapter centres on different methods of enhancing the use of ensembles with another visualisation-centred unsupervised learning algorithms: the topology-preserving map family.
Tópico(s): Computer Graphics and Visualization Techniques
2010 - Springer Nature | Studies in computational intelligence
Bruno Baruque, Emilio Corchado,
Tópico(s): Neural Networks and Applications
2010 - Springer Nature | Studies in computational intelligence
Bruno Baruque, Emilio Corchado,
This book conducts a review of research into the application of “committee of experts” or ensemble learning techniques to artificial neural networks that employ unsupervised learning for dimensionality reduction tasks and especially, for visualizing multi-dimensional data sets. In addition, it sets out a method of assessing and identifying data-set outliers by means of ensemble and statistical analysis.
2010 - Springer Nature | Studies in computational intelligence