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An analysis of the relevance of temporal information in time series classification
(2022-12-23)
In recent years, the interest in time series has increased considerably due to the vast amount of such data collected in a variety of fields. Time series are a particular type of data: they are sets of ordered observations. ...
Selection of critical nodes in drone airways graphs via graph neural networks
(2022-12-23)
This Master Thesis has two distinct parts. The first one mod-
els an application of Graph Neural Networks (GNN) for the identifica-
tion of critical nodes in graphs that correspond to traffic networks. We
call critical ...
Diskurtsoko koherentzia erlazioen iragarpenak euskararako BERT sare neuronal aurreentrenatua erabiliz
(2022-12-23)
Rhetorical Structure Theory (RST) teoriak testuak deskribatzeaz arduratzen da, koherentzia azalduz. Deskribapena zuhaitz eran antolatuta adierazten da, testua segmentuetan banatuta egonik. Segmentuak erlazioen bidez lotzen ...
GowFed: a novel federated intrusion detection system for IoT devices
(2022-12-23)
[EN] Intrusion detection systems are evolving into intelligent systems that perform data analysis while searching for anomalies in their environment. The development of deep learning techinques paved the way to build more ...
Transformer-based architecture for 2D semantic segmentation of mitochondria
(2022-12-23)
In this project, we have studied the state-of-the-art of semantic segmentation of biomedical images and compared the performance of a new Transformer-based architecture with the most used convolutional architecture for ...
Information extraction from verbal autopsies
(2022-12-23)
Civil registration and vital statistics registers births and deaths and compiles statistics. These statistics are a key factor to promote public health policies, register longevity and the health of the population. Death ...
Building hybrid classical-quantum classifiers to deal with unbalanced datasets
(2022-12-23)
Quantum circuits offer a different approach to process data through quantum operations and measurements of quantum states. At the same time, the increasing number of advances in technology has opened a path to turning these ...
The “Extended Reach” method: exploring the neighbors of the neighbors to escape from local optima
(2022-12-23)
[EN] Local search is a widely used meta-heuristic due to its simple yet effective approach for solving computationally hard optimization problems. Despite their popularity, hill-climbing algorithms get stuck in local optima, ...
Mejora de la efectividad de la clasificación en la plataforma WEKA en base al uso de métodos de remuestreo sobre la distribución de clases óptima
(2022-12-23)
Los problemas de clasificación de bases de datos desbalanceadas constituyen un paradigma específico dentro del Machine Learning que ha sido ampliamente estudiado en los últimos años y que puede ser abordado desde distintos ...
An investigation of imputation methods for discrete databases and multi-variate time series
(2016-10-03)
When it comes to information sets in real life, often pieces of the whole set
may not be available. This problem can find its origin in various reasons, describing
therefore different patterns. In the literature, this ...