GloNets: Globally Connected Neural Networks

1 code implementation • 27 Nov 2023 • Antonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton

Deep learning architectures suffer from depth-related performance degradation, limiting the effective depth of neural networks.

A Novel Resampling Technique for Imbalanced Dataset Optimization

no code implementations • 30 Dec 2020 • Ivan Letteri, Antonio Di Cecco, Abeer Dyoub, Giuseppe Della Penna

In this work, we developed two versions of Generative Silhouette Resampling 1-Nearest Neighbour (G1Nos) oversampling algorithms for dealing with class imbalance problem.

Malware Detection Network Intrusion Detection

Dataset Optimization Strategies for MalwareTraffic Detection

1 code implementation • 23 Sep 2020 • 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 and the ability to generalize.

BIG-bench Machine Learning feature selection +1