Listar Comunicaciones y ponencias de congresos DEIM - EIMS Biltzarretako komunikazioak eta txostenak por título
Mostrando ítems 13-32 de 92
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CC-separation measure applied in business group decision making
Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz
; Lourenzutti, Rodolfo; Bustince Sola, Humberto (SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena 
In business, one of the most important management functions is decision making The Group Modular Choquet Random TOPSIS (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) method that can work with multiple heterogeneous ... -
La ciudadanía global como reto en la enseñanza-aprendizaje de las universidades: las experiencias de innovación educativa de desarrollo y cooperación internacional, derecho Internacional y matemáticas
Chicharro Lázaro, Alicia ; Campión Arrastia, María Jesús (Universitat Politècnica de València, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Se presentan varias experiencias de innovación educativa en la Universidad Pública de Navarra que tienen como nexo común fundamental la transversalización de los Objetivos de Desarrollo Sostenible en el currículo. Con este ... -
Clusterig cosmológico: un enfoque del clustering gravitacional clásico inspirado en la estructura y dinámica del cosmos a gran escala
Castillo López, Aitor; Fumanal Idocin, Javier ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Universidad de Málaga, 2021)
Contribución a congreso / Biltzarrerako ekarpena
En este trabajo proponemos un nuevo enfoque del algoritmo de clustering gravitacional basado en lo que Einstein considero su 'mayor error': la constante cosmológica. De manera similar al algoritmo de clustering gravitacional, ... -
Combinations of affinity functions for different community detection algorithms in social networks
Fumanal Idocin, Javier ; Cordón, Óscar; Minárová, María; Alonso Betanzos, Amparo; Bustince Sola, Humberto (University of Hawaii Press, 2021)
Contribución a congreso / Biltzarrerako ekarpena
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 ... -
Comparison of experiment and simulation of ultrasonic mid-air haptic forces
Morales González, Rafael; Georgiou, Orestis; Marzo Pérez, Asier ; Frier, William (IEEE, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Ultrasound mid-air haptics is an emerging technology with many applications in human-computer interactions. Despite great advances in related hardware and software, physics models that predict the resulting forces on a ... -
Content-aware image smoothing based on fuzzy clustering
Antunes Dos Santos, Felipe; López Molina, Carlos ; Mir Fuentes, Arnau; Mendióroz Iriarte, Maite; Baets, Bernard de (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Literature contains a large variety of content-aware smoothing methods. As opposed to classical smoothing methods, content-aware ones intend to regularize the image while avoiding the loss of relevant visual information. ... -
Design exploration prior to blade multi-disciplinary optimisation
Echeverría Durá, Fernando; Mallor Giménez, Fermín ; San Miguel, Unai (IOP Publishing, 2018)
Contribución a congreso / Biltzarrerako ekarpena
The approach of designing blades as a multi-disciplinary, holistic optimisation implies significant challenges owing to the high complexity of the involved factors such as aerodynamics, elasticity, controller and loads. ... -
Directions of directional, ordered directional and strengthened ordered directional increasingness of linear and ordered linear fusion operators
Sesma Sara, Mikel ; Marco Detchart, Cedric ; Lafuente López, Julio ; Roldán López de Hierro, Antonio Francisco; Mesiar, Radko; Bustince Sola, Humberto (IEEE, 2019)
Contribución a congreso / Biltzarrerako ekarpena
In this work we discuss the forms of monotonicity that have been recently introduced to relax the monotonicity condition in the definition of aggregation functions. We focus on directional, ordered directional and strengthened ... -
Dissimilarity based choquet integrals
Bustince Sola, Humberto ; Mesiar, Radko; Fernández Fernández, Francisco Javier ; Galar Idoate, Mikel ; Paternain Dallo, Daniel (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
In this paper, in order to generalize the Choquet integral, we replace the difference between inputs in its definition by a restricted dissimilarity function and refer to the obtained function as d-Choquet integral. For ... -
Distance transformations based on ordered weighted averaging operators
López Molina, Carlos ; Miguel Turullols, Laura de ; Iglesias Rey, Sara ; Bustince Sola, Humberto ; Baets, Bernard de (University of Hawaii Press, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Binary image comparison has been a study subject for a long time, often rendering in context-specific solutions that depend upon the type of visual contents in the binary images. Distance transformations have been a recurrent ... -
Distributed opportunistic wireless mapping system towards smart city service provision
Villadangos Alonso, Jesús ; Falcone Lanas, Francisco Javier ; López Martín, Antonio ; Astrain Escola, José Javier ; Sanchis Gúrpide, Pablo ; Matías Maestro, Ignacio (IEEE, 2021)
Contribución a congreso / Biltzarrerako ekarpena
The knowledge of wireless signal distribution within an urban scenario can provide useful information to users as well as to enhance connectivity and device operation or to perform municipal logistics based on crowd density ... -
EEG-based endogenous online co-adaptive brain-computer interfaces: strategy for success?
Scherer, Reinhold; Faller, Josef; Sajda, Paul; Vidaurre, Carmen (IEEE, 2018)
Contribución a congreso / Biltzarrerako ekarpena
A Brain-Computer Interface (BCI) translates patterns of brain signals such as the electroencephalogram (EEG) into messages for communication and control. In the case of endogenous systems the reliable detection of induced ... -
An empirical study on supervised and unsupervised fuzzy measure construction methods in highly imbalanced classification
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
The design of an ensemble of classifiers involves the definition of an aggregation mechanism that produces a single response obtained from the information provided by the classifiers. A specific aggregation methodology ... -
Enhancing LSTM for sequential image classification by modifying data aggregation
Takáč, Zdenko; Ferrero Jaurrieta, Mikel; Horanská, Lubomíra; Krivonakova, Nada; Pereira Dimuro, Graçaliz ; Bustince Sola, Humberto (IEEE, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Recurrent Neural Networks (RNN) model sequential information and are commonly used for the analysis of time series. The most usual operation to fuse information in RNNs is the sum. In this work, we use a RNN extended type, ... -
Evolution of L-fuzzy contexts associated with criteria
Alcalde, Cristina; Burusco Juandeaburre, Ana (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
This paper will delve deeper into the general study of the L-fuzzy contexts associated with criteria analyzing situations with a known evolution over time. These criteria may be independent or dependent on each other. We ... -
Explainable classification methods for fish species detection using hydroacoustic data
Costa, Lucas Tubino Bonifacio; Lucca, Giancarlo; Pereira Dimuro, Graçaliz ; Borges, Eduardo N.; Emmendorfer, Leonardo R.; Weigert, Stefan Cruz (IEEE, 2021)
Contribución a congreso / Biltzarrerako ekarpena
This work aims to evaluate explainable classification methods for the detection of fish species from hydroacoustic data acquired by echo sounders at a region near the coastline of south and southeastern Brazil. Decision ... -
Exploring the addition of audio input to wearable punch recognition
Quintero Ovalle, Juan; Stawarz, Katarzyna; Marzo Pérez, Asier (Association for Computing Machinery (ACM), 2019)
Contribución a congreso / Biltzarrerako ekarpena
Martial arts can promote healthy lifestyles, improve self-confidence and provide self-defence skills. Previous work has demonstrated that inertial sensors can be used to recognise movements such as punches in boxing and ... -
Exploring the relationships between data complexity and classification diversity in ensembles
Formentín Garcia, Nathan; Tiggeman, Frederico; Borges, Eduardo N.; Lucca, Giancarlo; Santos, Helida; Pereira Dimuro, Graçaliz (SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Several classification techniques have been proposed in the last years. Each approach is best suited for a particular classification problem, i.e., a classification algorithm may not effectively or efficiently recognize ... -
Extensión multidimensional de la integral de Choquet discreta y su aplicación en redes neuronales recurrentes
Ferrero Jaurrieta, Mikel; Rodríguez Martínez, Iosu ; Pereira Dimuro, Graçaliz ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Universidad de Málaga, 2021)
Contribución a congreso / Biltzarrerako ekarpena
En este trabajo presentamos una definición de la integral de Choquet discreta n-dimensional, para fusionar datos vectoriales. Como aplicación, utilizamos estas nuevas integrales de Choquet discretas multidimensionales en ... -
A fast SSVEP-based brain-computer interface
Jorajuría, Tania ; Gómez Fernández, Marisol ; Vidaurre, Carmen (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
Literature of brain-computer interfacing (BCI) for steady-state visual evoked potentials (SSVEP) shows that canonical correlation analysis (CCA) is the most used method to extract features. However, it is known that CCA ...
