Buscar
Mostrando ítems 1-9 de 9
Verification system based on long-range iris and Graph Siamese Neural Networks
(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
(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 ...
On the influence of interval normalization in IVOVO fuzzy multi-class classifier
(Springer, 2019)
info:eu-repo/semantics/conferenceObject,
IVOVO stands for Inverval-Valued One-Vs-One and is the combination of IVTURS fuzzy classifier and the One-Vs-One strategy. This method is designed to improve the performance of IVTURS in multi-class problems, by dividing ...
Dissimilarity based choquet integrals
(Springer, 2020)
info:eu-repo/semantics/conferenceObject,
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 ...
Gender stereotyping impact in facial expression recognition
(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 ...
A study of different families of fusion functions for combining classifiers in the one-vs-one strategy
(Springer, 2018)
info:eu-repo/semantics/conferenceObject,
In this work we study the usage of different families of fusion functions for combining classifiers in a multiple classifier system of One-vs-One (OVO) classifiers. OVO is a decomposition strategy used to deal with multi-class ...
PhantomFields: fast time and spatial multiplexation of acoustic fields for generation of superresolution patterns
(2021)
info:eu-repo/semantics/conferenceObject,
Ultrasonic fields generated by phased arrays can be tailored to obtain a custom pattern of acoustic radiation forces. These force fields can pattern particles as well as be felt by the human hand, enabling applications for ...
On the influence of admissible orders in IVOVO
(Springer, 2019)
info:eu-repo/semantics/conferenceObject,
It is known that when dealing with interval-valued data, there exist problems associated with the non-existence of a total order. In this work we investigate a reformulation of an interval-valued decomposition strategy for ...
An empirical study on supervised and unsupervised fuzzy measure construction methods in highly imbalanced classification
(IEEE, 2020)
info:eu-repo/semantics/conferenceObject,
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 ...