8 citations · 9 across the 3 of their papers we have counts for
3 papers · 1 filter
GloNets: Globally Connected Neural Networks
Antonio Di Cecco, Carlo Metta, Marco Fantozzi +2
Deep learning architectures suffer from depth-related performance degradation, limiting the effective depth of neural networks. Approaches like ResNet are able to mitigate this, bu…
A Novel Resampling Technique for Imbalanced Dataset Optimization
Ivan Letteri, Antonio Di Cecco, Abeer Dyoub +1
Despite the enormous amount of data, particular events of interest can still be quite rare. Classification of rare events is a common problem in many domains, such as fraudulent tr…
Dataset Optimization Strategies for MalwareTraffic Detection
Ivan Letteri, Antonio Di Cecco, Giuseppe Della Penna
Machine learning is rapidly becoming one of the most important technology for malware traffic detection, since the continuous evolution of malware requires a constant adaptation an…