activity
20072023
most citedA note on some mathematical models on the effects of Bt-maize exposure

5 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023

Learning Spatial Distribution of Long-Term Trackers Scores

Vincenzo Mariano Scarrica, Antonino Staiano

Long-Term tracking is a hot topic in Computer Vision. In this context, competitive models are presented every year, showing a constant growth rate in performances, mainly measured…

cs.CV2023★ 1 cited

A Hybrid Approach To Real-Time Multi-Object Tracking

Vincenzo Mariano Scarrica, Ciro Panariello, Alessio Ferone +1

Multi-Object Tracking, also known as Multi-Target Tracking, is a significant area of computer vision that has many uses in a variety of settings. The development of deep learning,…

cs.CV2022★ 1 cited

Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation

Jhony H. Giraldo, Vincenzo Scarrica, Antonino Staiano +2

Semantic segmentation is a fundamental topic in computer vision. Several deep learning methods have been proposed for semantic segmentation with outstanding results. However, these…

q-bio.QM2013

Comment on Increased mortality is predicted of Inachis io larvae caused by Bt-maize pollen in European farmland, Ecological Modelling, 2013

Francesco Camastra, Angelo Ciaramella, Antonino Staiano

In this comment, we analyze the mathematical model by Holst et al that estimates the increased mortality of Inachis io larvae caused by Bt-maize pollen in European farmaland. In pa…

q-bio.QM2012★ 5 cited

A note on some mathematical models on the effects of Bt-maize exposure

Francesco Camastra, Angelo Ciaramella, Antonino Staiano

Some mathematical models for the estimation of the effects of Cry1Ab and Cry1F Bt-maize exposure in the biodiversity are discussed. Novel results about these models are obtained an…

astro-ph2007★ 1 cited

Steps toward a classifier for the Virtual Observatory. I. Classifying the SDSS photometric archive

R. D'Abrusco, A. Staiano, G. Longo +2

Modern photometric multiband digital surveys produce large amounts of data that, in order to be effectively exploited, need automatic tools capable to extract from photometric data…