activity
19982023
most citedDeep Learning in Video Multi-Object Tracking: A Survey

681 citations · 996 across the 15 of their papers we have counts for

collaborators

15 papers

cs.NE2023★ 23 cited

ElegansNet: a brief scientific report and initial experiments

Francesco Bardozzo, Andrea Terlizzi, Pietro Liò +1

This research report introduces ElegansNet, a neural network that mimics real-world neuronal network circuitry, with the goal of better understanding the interplay between connecto…

eess.IV2021★ 1 cited

Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network

Fabio Hernán Gil Zuluaga, Francesco Bardozzo, Jorge Iván Ríos Patiño +1

In computer-aided diagnosis (CAD) focused on microscopy, denoising improves the quality of image analysis. In general, the accuracy of this process may depend both on the experienc…

q-bio.MN2020★ 2 cited

Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks

Francesco Bardozzo, Pietro Liò, Roberto Tagliaferri

Motivation: One of the branches of Systems Biology is focused on a deep understanding of underlying regulatory networks through the analysis of the biomolecules oscillations and th…

cs.CV2020★ 51 cited

Adaptive binarization based on fuzzy integrals

Francesco Bardozzo, Borja De La Osa, Lubomira Horanska +6

Adaptive binarization methodologies threshold the intensity of the pixels with respect to adjacent pixels exploiting the integral images. In turn, the integral images are generally…

q-bio.MN2020★ 2 cited

A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways

Francesco Bardozzo, Pietro Lio', Roberto Tagliaferri

In this work, a machine learning approach for identifying the multi-omics metabolic regulatory control circuits inside the pathways is described. Therefore, the identification of b…

cs.DB2019★ 3 cited

E2FM: an encrypted and compressed full-text index for collections of genomic sequences

Ferdinando Montecuollo, Giovannni Schmid, Roberto Tagliaferri

Next Generation Sequencing (NGS) platforms and, more generally, high-throughput technologies are giving rise to an exponential growth in the size of nucleotide sequence databases.…