Listar Comunicaciones y ponencias de congresos DEIM - EIMS Biltzarretako komunikazioak eta txostenak por título
Mostrando ítems 32-51 de 92
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A fast SSVEP-based brain-computer interface
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 ... -
A framework for active contour initialization with application to liver segmentation in MRI
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
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 ... -
Fuzzy integrals for edge detection
(Springer, 2023) Contribución a congreso / Biltzarrerako ekarpenaIn 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 ... -
Fuzzy sets complement-based gated recurrent unit
(CEUR Workshop Proceedings (CEUR-WS.org), 2021) Contribución a congreso / Biltzarrerako ekarpenaGated Recurrent Units (GRU) are neural network gated architectures that simplify other ones (suchas, LSTM) by joining gates mainly. For this, instead of using two gates, if𝑥is the first gate, standardoperation1−𝑥is used ... -
Gated local adaptive binarization using supervised learning
(CEUR Workshop Proceedings (CEUR-WS.org), 2021) Contribución a congreso / Biltzarrerako ekarpenaImage thresholding is one of the most popular problems in image processing. However, changes inlightning and contrast in an image can cause trouble for the existing algorithms that use a global threshold for all the image. ... -
Gender stereotyping impact in facial expression recognition
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 ... -
General admissibly ordered interval-valued overlap functions
(CEUR Workshop Proceedings (CEUR-WS.org), 2021) Contribución a congreso / Biltzarrerako ekarpenaOverlap functions are a class of aggregation functions that measure the verlapping degree between two values. They have been successfully applied in several problems in which associativity is not required, such as ... -
General grouping functions
Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a ... -
Grape stems as preservative in Tempranillo wine
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 ... -
Holistic architecture for music education: a proposal for empirical research in educational situations
Holistic Architecture for Music Education (HAME) arises as a Design-Based Research, that is, it is an interdisciplinary research approach based on mixed research methods, which attempts understanding empirical phenomena ... -
Image feature extraction using OD-monotone functions
Edge detection is a basic technique used as a preliminary step for, e.g., object extraction and recognition in image processing. Many of the methods for edge detection can be fit in the breakdown structure by Bezdek, ... -
Implementation of artificial intelligence algorithms in climatic zoning according with energy demand in dwellings. A european case
Science has shown, based on data and knowledge, that there is clear evidence that global warming is not a transient effect, and that it is caused mainly by human activity. The consequences of climate change can be noted ... -
Improving input parameter estimation in online pandemic simulation
Simulation models are suitable tools to represent the complexity and randomness of hospital systems. To be used as forecasting tools during pandemic waves, it is necessary an accurate estimation, by using real-time data, ... -
Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function
(CEUR Workshop Proceedings (CEUR-WS.org), 2021) Contribución a congreso / Biltzarrerako ekarpenaThis paper presents a modification of a Michigan-style fuzzy rule based classifier by applying the Choquet-like Copula-based aggregation function, which is based on the minimum t-norm and satisfies all the conditions ... -
Initiative to increment the number of women in STEM degrees: women, science and technology chair of the Public University of Navarre
The Public University of Navarre joined with Navarre Government has created the Women, Science and Technology Chair. This chair arises due to the plummeting tendency of the percentage of women in STEM degrees with the aim ... -
Integrated music and math projects in secondary education
The introduction of projects involving music and mathematics in Secondary Education should allow the integration of these disciplines by nonspecialists. In the present work we describe an experience carried out with ... -
Intelligent SDN-based multi-protocol selector for IoT-enabled NMT networks
The popularity of the Internet of Things is increasing and it is being used in many commercial sectors, using customized technologies for specific environments. Applications and protocols, and the unique requirements of ... -
Interactions with digital mountains: tangible, immersive and touch interactive virtual reality
(Association for Computing Machinery (ACM), 2020) Contribución a congreso / Biltzarrerako ekarpenaDigitization of Earth mountains and terrains has facilitated to plan journeys, manage natural resources, and learn about the Earth from the comfort of our homes. We aim to develop new interactions on digital mountains with ... -
An inventory-routing problem with stochastic demand and stock-out: a solution and risk analysis using simheuristics
Supply chain operations have become more complex. Hence, in order to optimise supply chain operations, we often need to simplify the optimisation problem in such a way that it can be solved efficiently using either exact ...