Listar Comunicaciones y ponencias de congresos DEIM - EIMS Biltzarretako komunikazioak eta txostenak por fecha de publicación
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Fuzzy integrals for edge detection
Marco Detchart, Cedric
; Lucca, Giancarlo; Pereira Dimuro, Graçaliz ; Asmus, Tiago ; López Molina, Carlos ; Borges, Eduardo N.; Rincon, J. A.; Julian, Vicente; Bustince Sola, Humberto (Springer, 2023)
Contribución a congreso / Biltzarrerako ekarpena
In this work, we compare different families of fuzzy integrals in the context of feature aggregation for edge detection. We analyze the behaviour of the Sugeno and Choquet integral and some of its generalizations. In ... -
Women, Science and Technology Chair—Promoting women’s careers in stem fields
Pérez Artieda, Miren Gurutze ; Gómez Fernández, Marisol ; Aranguren Garacochea, Patricia ; Barrenechea Tartas, Edurne ; Catalán Ros, Leyre ; Díaz Lucas, Silvia ; Jurío Munárriz, Aránzazu ; Martínez Ramírez, Alicia ; Millor Muruzábal, Nora ; Ortiz Nicolás, Amalia; San Martín Biurrun, Idoia (IEEE, 2023)
Contribución a congreso / Biltzarrerako ekarpena 
The Chair of Women, Science and Technology of the Universidad Pública de Navarra (UPNA) aims to increase the participation of women in the fields of science and technology. Scientific culture and dissemination are the main ... -
Mid-air contactless haptics to augment VR experiences
Ezcurdia Aguirre, Íñigo Fermín ; Fernández Ortega, Unai Javier; Olaz Moratinos, Xabier; Marzo Pérez, Asier (Association for Computing Machinery, 2023)
Contribución a congreso / Biltzarrerako ekarpena
We present four technologies to deliver contactless haptic stimuli for enriching Virtual Reality (VR) experiences. The technologies are electrostatic piloerection, focused light-induced heat, electric plasma, and ultrasound; ... -
Space-time parallel methods for evolutionary reaction-diffusion problems
Arrarás Ventura, Andrés ; Gaspar, F. J.; Portero Egea, Laura ; Rodrigo, C. (Springer, 2023)
Contribución a congreso / Biltzarrerako ekarpena
In recent years, the gradual saturation of parallelization in space has been a strongmotivation for the design and analysis of new parallel-in-time algorithms. Amongthese methods, the parareal algorithm, first introduced ... -
Gender stereotyping impact in facial expression recognition
Domínguez Catena, Iris ; Paternain Dallo, Daniel ; Galar Idoate, Mikel (Springer, 2023)
Contribución a congreso / Biltzarrerako ekarpena
Facial Expression Recognition (FER) uses images of faces to identify the emotional state of users, allowing for a closer interaction between humans and autonomous systems. Unfortunately, as the images naturally integrate ... -
TipTrap: a co-located direct manipulation technique for acoustically levitated content
Jankauskis, Eimontas; Elizondo Martínez, Sonia; Montano Murillo, Roberto; Marzo Pérez, Asier ; Martinez Plasencia, Diego (ACM, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Acoustic levitation has emerged as a promising approach for mid-air displays, by using multiple levitated particles as 3D voxels, cloth and thread props, or high-speed tracer particles, under the promise of creating 3D ... -
Application and comparison of CC-integrals in business group decision making
Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz ; Lourenzutti, Rodolfo; Bustince Sola, Humberto (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Optimized decisions is required by businesses (analysts) if they want to stay open. Even thought some of these are from the knowhow of the managers/executives, most of them can be described mathematically and solved ... -
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. ... -
On construction methods of (interval-valued) general grouping functions
Pereira Dimuro, Graçaliz ; Asmus, Tiago ; Pinheiro, Jocivania; Santos, Helida; Borges, Eduardo N.; Lucca, Giancarlo; Rodríguez Martínez, Iosu ; Mesiar, Radko; Bustince Sola, Humberto (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Recently, several theoretical and applied studies on grouping functions and overlap functions appeared in the literature, mainly because of their flexibility when comparing them with the popular aggregation operators ... -
A framework for active contour initialization with application to liver segmentation in MRI
Mir-Fuentes, Arnau; Mir Torres, Arnau; Antunes Dos Santos, Felipe; Fernández Fernández, Francisco Javier ; López Molina, Carlos (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Object segmentation is a prominent low-level task in image processing and computer vision. A technique of special relevance within segmentation algorithms is active contour modeling. An active contour is a closed contour ... -
Fuzzy clustering to encode contextual information in artistic image classification
Fumanal Idocin, Javier ; Takáč, Zdenko; Horanská, Lubomíra; Bustince Sola, Humberto ; Cordón, Óscar (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Automatic art analysis comprises of utilizing diverse processing methods to classify and categorize works of art. When working with this kind of pictures, we have to take under consideration different considerations compared ... -
LevPet: a magnetic levitating spherical pet with affective reactions
Sorbet Molina, Josune; Elizondo Martínez, Sonia; Iriarte Cárdenas, Naroa; Ortiz Nicolás, Amalia; Marzo Pérez, Asier (ACM, 2022)
Contribución a congreso / Biltzarrerako ekarpena
LevPet combines affective computing and magnetic levitation to create an artificial levitating pet with affective responses and novel ways of moving to express emotions. Our interactive pet can recognise the user's emotional ... -
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 ... -
Analysing capacity challenges in the Multi-Airport System of Mexico City
Mújica Mota, Miguel; Izco Berastegui, Irene; Faulín Fajardo, Javier (Dime University of Genoa, 2022)
Contribución a congreso / Biltzarrerako ekarpena
The relentless growth in Mexico City’s aviation traffic has inevitably strained capacity development of its airport, raising the dilemma between the possible solutions. In the present study, Mexico’s Multi-Airport System ... -
Application of the Sugeno integral in fuzzy rule-based classification
Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Fuzzy Rule-Based Classification System (FRBCS) is a well known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations to enhance the quality ... -
Grape stems as preservative in Tempranillo wine
Pires Nogueira, Danielle; Jiménez Moreno, Nerea ; Esparza Catalán, Irene ; Moler Cuiral, José Antonio ; Ancín Azpilicueta, Carmen (2022)
Contribución a congreso / Biltzarrerako ekarpena
SO2 is the most widely used preservative in the wine industry. However, there are several drawbacks related with the use of SO2 in wine, such as, its toxicity and the unpleasant odor in case of excess [1]. These reasons ... -
A preliminary study about gender gap perception in informatics studies in Spain
García-Holgado, Alicia; González-González, Carina S.; García Fernández, Inmaculada; Moreno López, Lourdes; Barrenechea Tartas, Edurne ; Rueda, Silvia; Navarro, Ángeles G.; Martínez, Paloma; Masiá, Belén; Navarro, Elena; Fornés, Alicia (IEEE, 2022)
Contribución a congreso / Biltzarrerako ekarpena
The gender gap in STEM is an issue that affects regions and countries worldwide. Furthermore, the percentage of women in these areas depends on a range of different factors. In particular, the gender gap is critical in ... -
Verification system based on long-range iris and Graph Siamese Neural Networks
Zola, Francesco; Fernandez-Carrasco, José Álvaro; Bruse, Jan Lukas; Galar Idoate, Mikel ; Geradts, Zeno (ACM, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Biometric systems represent valid solutions in tasks like user authentication and verification, since they are able to analyze physical and behavioural features with high precision. However, especially when physical ... -
Multi-temporal data augmentation for high frequency satellite imagery: a case study in Sentinel-1 and Sentinel-2 building and road segmentation
Ayala Lauroba, Christian; Aranda Magallón, Coral; Galar Idoate, Mikel (ISPRS, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Semantic segmentation of remote sensing images has many practical applications such as urban planning or disaster assessment. Deep learning-based approaches have shown their usefulness in automatically segmenting large ... -
Analyzing the determinant characteristics for a good performance at enade brazilian exam stratified by teaching modality: face-to-face versus online
(SciTePress, 2022) Contribución a congreso / Biltzarrerako ekarpena
The National Student Performance Exam (ENADE) annually evaluates different Brazilian higher education courses. This exam considers both face-to-face and distance learning courses. Distance learning is growing increasingly, ...
