activity
20162021
most citedSkin Cancer Classification using Inception Network and Transfer Learning

21 citations · 21 across the 1 of their papers we have counts for

collaborators

5 papers

eess.IV202121 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…

cs.DC2018

Genomics as a Service: a Joint Computing and Networking Perspective

Gianluca Reali, Mauro Femminella, Emilia Nunzi +1

This paper provides a global picture about the deployment of networked processing services for genomic data sets. Many current research make an extensive use genomic data, which ar…

cs.NI2016

A signaling protocol for service function localization

Mauro Femminella, Gianluca Reali, Dario Valocchi

Current proposals for combining service functions (SFs) do not address some critical management issues, such as the discovery of SF instances close to IP data paths. This informati…