Spiking Neural Networks (SNNs) offer a biologically grounded alternative to conventional Artificial Neural Networks by replacing continuous activations with discrete, asynchronous spike events, while Graph Neural Networks (GNNs) provide a principled way to lea…
The widespread adoption of deep learning has led to a surge in demand for the efficient deployment of Deep Neural Networks (DNNs) on embedded and resource-constrained systems. These platforms are increasingly tasked with performing complex inference workloads…
Nowadays, there are still significant challenges encountered in the accurate diagnosis of various eye diseases, such as Keratoconus (KCN) and cataracts. Early detection of Keratoconus is crucial in preventing its progression and ensuring the best treatment out…
As redes neurais têm experienciado um crescimento significativo no seu tamanho e complexidade nos últimos anos, levando a avanços notáveis em diversas áreas da inteligência artificial. No entanto, este aumento exponencial no seu número de parâmetros e das nece…
This thesis compares four hyperparameter search methods for tuning a compact convolutional neural network on CIFAR-10 under a uniform setup. The methods are grid search and three population-based metaheuristics, particle swarm optimization, genetic algorithms,…
El Reconocimiento de Acciones Humanas en videos (HAR) consiste en identificar y clasificar diferentes acciones que involucran una o más personas. Este campo continúa en desarrollo ya que los resultados aún no alcanzan niveles satisfactorios para muchas de sus…
Koneoppimisen sisällä kehittynyt syväoppiminen on erityisesti viimeisen vuosikymmenen aikana noussut yhdeksi merkittävimmistä tämänhetkisistä tutkimusaiheista [68]. Suuri osa kehityksestä on kuitenkin perustunut kroonisen epäluotettavaan empiiriseen tutkimukse…
The rapid advancement of technology and the accelerating dissemination of information have contributed to a significant increase in the prevalence of fake news, defined as mislead- ing or deliberately deceptive news articles. This proliferation poses a signifi…
Program recognition is a fundamental problem in computer science that has been studied for decades. A well-known subproblem is code clone detection, which aims to identify duplicated code fragments, ranging from exact copies to segments that perform the same c…
Quantization has become a key approach for reducing storage and computational demands of deep neural networks while maintaining high accuracy. Although 8-bit quantization is well-established for convolutional architectures such as ResNet50 and MobileNetV2, its…
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