GI-ISLA-Artigos
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Efficient Implementation of Multilayer Perceptrons: Reducing Execution Time and Memory Consumption
(MDPI, 2024)[Abstract]: A technique is presented that reduces the required memory of neural networks through improving weight storage. In contrast to traditional methods, which have an exponential memory overhead with the increase in ... -
Artificial glial cells in artificial neuronal networks: a systematic review
(Springer Nature, 2023-11)[Abstract]: The concept of tripartite synapses has revolutionized the world of neuroscience and the way we understand how information is transmitted in the brain. Since its discovery, some research groups have incorporated ... -
Deep Learning-Based Wave Overtopping Prediction
(MDPI, 2024-03-20)[Abstract]: This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer ... -
A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks
(2020)[Abstract]: This paper addresses the measurement of the social dimension of cognitive trust in collaborative networks. Trust indicators are typically measured and combined in literature in order to calculate partners’ ... -
Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques
(2019)[Abstract]: Introduction: The unanticipated magnetic resonance imaging (MRI) detection in the brain of asymptomatic subjects of white matter lesions suggestive of multiple sclerosis (MS) has been named as radiologically ...
