
Dylan PerdigãoUniversity of Coimbra | UC · Department of Informatics Engineering
Dylan Perdigão
PhD Candidate
Dylan holds a MSc in Informatics Engineering with a specialization in Intelligent Systems from the University of Coimbra
About
13
Publications
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14
Citations
Introduction
Skills and Expertise
Additional affiliations
April 2022 - present
Education
October 2023 - June 2027
September 2021 - July 2023
October 2018 - July 2021
Publications
Publications (13)
Spiking Neural Networks (SNNs), inspired by the real brain’s behavior, offer an energy-efficient alternative to traditional artificial neural networks coupled with their neural joint activity, also referred to as population coding. This population coding is replicated in SNNs by attributing more than one neuron to each class in the output layer. Th...
The digitalization of the banking sector has enabled an increasing number of fraudulent activities in the past years. The development of new practical solutions for fraud detection is particularly challenging since the industry needs to respect a 5% threshold of false detection of fraud, avoiding monetary losses. The usage of traditional machine le...
The digitalisation of the banking sector has enabled an increasing number of fraudulent activities in the past years. Developing new practical solutions for fraud detection is particularly challenging since the industry needs to respect a 5% threshold of false detection of fraud, avoiding monetary losses. Using traditional machine learning algorith...
Energy smart grids and other modern industrial control systems networks impose considerable security management challenges due to several factors: their broad geographic dispersion and capillarity, the constrained nature of many of the devices and network links that integrate them, and the fact that they are often fragmented across multiple domains...
This paper explores GPT-3 for answering natural language questions over Linked Data. Different engines of the model and different approaches are adopted for answering questions in the QALD-9 dataset, namely: zero and few-shot SPARQL generation, as well as fine-tuning in the training portion of the dataset. Answers retrieved by the generated queries...
The emergence of 5G and the Internet of Things has prompted nations across the globe to develop smart grids, an advanced electrical grid infrastructure capable of producing and transporting energy in a more reliable, sustainable, and efficient way. In addition, smart grids allow monitoring in real-time the energy production, consumption, and distri...
This paper proposes an Active Learning algorithm that could detect heart attacks based on different body measures, which requires much less data than the passive learning counterpart while maintaining similar accuracy. To that end, different parameters were tested, namely the batch size and the query strategy used. The initial tests on batch size c...