activity
20192021
most citedAttributed Relational SIFT-based Regions Graph (ARSRG): concepts and applications

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

eess.IV2021

Voting in Transfer Learning System for Ground-Based Cloud Classification

Mario Manzo, Simone Pellino

Clouds classification is a great challenge in meteorological research. The different types of clouds, currently known and present in our skies, can produce radioactive effects that…

eess.IV2020

Fighting together against the pandemic: learning multiple models on tomography images for COVID-19 diagnosis

Mario Manzo, Simone Pellino

The great challenge for the humanity of the year 2020 is the fight against COVID-19. The whole world is making a huge effort to find an effective vaccine with purpose to protect pe…

eess.IV2020

Bucket of deep transfer learning features and classification models for melanoma detection

Mario Manzo, Simone Pellino

Malignant melanoma is the deadliest form of skin cancer and, in recent years, is rapidly growing in terms of the incidence worldwide rate. The most effective approach to targeted t…

eess.IV20191 cited

Attributed Relational SIFT-based Regions Graph (ARSRG): concepts and applications

Mario Manzo

Graphs are widely adopted tools for encoding information. Generally, they are applied to disparate research fields where data needs to be represented in terms of local and spatial…

cs.LG2019

Graph Convolutional Networks: analysis, improvements and results

Ihsan Ullah, Mario Manzo, Mitul Shah +1

In the current era of neural networks and big data, higher dimensional data is processed for automation of different application areas. Graphs represent a complex data organization…