8 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 8 cited
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…
cs.LG2020★ 1 cited
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…