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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 ...
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, ...
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 ...
Application of advanced regression methods for wear prediction of superalloys
(2018-01-18)
Analytical models able to predict the tool wear can provide companies instruments to optimize the cutting processes. The focus of this thesis is to accomplish a study of the tool wear process in the turning process of ...
Evolutionary computation in hierarchical model discovery
(2022-12-23)
Despite its continuous growth, probabilistic programming is still a great
unknown among scientists, specially those whose research areas involve sampling dis-
tributions, statistical modeling or statistical inference. ...