activity
20162026
most citedSkin Cancer Classification using Inception Network and Transfer Learning

21 citations · 21 across the 4 of their papers we have counts for

collaborators

8 papers

cs.DC2026

Learning to Remember: Attentive Reinforcement Learning for Edge Serverless Autoscaling

Faraz Shaikh, Gianluca Reali, Mauro Femminella

In edge computing, the stochastic and bursty nature of serverless workloads challenges autonomous resource orchestration. Traditional reactive controllers, such as the Kubernetes H…

cs.DC2026

Topological Analysis for Identifying Anomalies in Serverless Platforms

Gianluca Reali, Mauro Femminella

The information flows in serverless platforms are complex and non-conservative. This is a direct result of how independently deployed functions interact under the platform coarse-g…

cs.DC2026

A Hodge-Based Framework for Service Operational Analysis in Serverless Platforms

Gianluca Reali, Mauro Femminella

In this paper we propose a method for analyzing services deployed in serverless platforms. These services typically consists of orchestrated functions that can exhibit complex and…

eess.IV2021★ 21 cited

Skin Cancer Classification using Inception Network and Transfer Learning

Priscilla Benedetti, Damiano Perri, Marco Simonetti +3

Medical data classification is typically a challenging task due to imbalance between classes. In this paper, we propose an approach to classify dermatoscopic images from HAM10000 (…

cs.ET2018

A molecular communications model for drug delivery

Mauro Femminella, Gianluca Reali, Athanasios V. Vasilakos

This paper considers the scenario of a targeted drug delivery system, which consists of deploying a number of biological nanomachines close to a biological target (e.g. a tumor), a…

cs.ET2018

Applications of molecular communications to medicine: a survey

Luca Felicetti, Mauro Femminella, Gianluca Reali +1

In recent years, progresses in nanotechnology have established the foundations for implementing nanomachines capable of carrying out simple but significant tasks. Under this stimul…