Roberto TAGLIAFERRI

About Roberto TAGLIAFERRI

Roberto TAGLIAFERRI, With an exceptional h-index of 34 and a recent h-index of 21 (since 2020), a distinguished researcher at Università degli Studi di Salerno, specializes in the field of Artificial Intelligence, Computational Intelligence, Bioinformatics, Computational Biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Label-free cell classification in holographic flow cytometry through an unbiased learning strategy

Elegans-AI: How the connectome of a living organism could model artificial neural networks

ElegansNet: a brief scientific report and initial experiments

Machine learning as a support for the diagnosis of type 2 diabetes

Neural networks for fatigue crack propagation predictions in real-time under uncertainty

RSC package (CRAN)

Deep learning assisted Fourier ptychography for cells and tissue analysis

An automated pipeline integrating AlphaFold 2 and MODELLER for protein structure prediction

Roberto TAGLIAFERRI Information

University

Position

Neurone Lab - Disa Mis -

Citations(all)

5167

Citations(since 2020)

2475

Cited By

3525

hIndex(all)

34

hIndex(since 2020)

21

i10Index(all)

75

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

Roberto TAGLIAFERRI Skills & Research Interests

Artificial Intelligence

Computational Intelligence

Bioinformatics

Computational Biology

Top articles of Roberto TAGLIAFERRI

Title

Journal

Author(s)

Publication Date

Label-free cell classification in holographic flow cytometry through an unbiased learning strategy

Lab on a Chip

Gioele Ciaparrone

Daniele Pirone

Pierpaolo Fiore

Lu Xin

Wen Xiao

...

2024

Elegans-AI: How the connectome of a living organism could model artificial neural networks

Neurocomputing

Francesco Bardozzo

Andrea Terlizzi

Claudio Simoncini

Pietro Lió

Roberto Tagliaferri

2024/6/1

ElegansNet: a brief scientific report and initial experiments

arXiv preprint arXiv:2304.13538

Francesco Bardozzo

Andrea Terlizzi

Pietro Liò

Roberto Tagliaferri

2023/4/6

Machine learning as a support for the diagnosis of type 2 diabetes

International Journal of Molecular Sciences

Antonio Agliata

Deborah Giordano

Francesco Bardozzo

Salvatore Bottiglieri

Angelo Facchiano

...

2023/4/5

Neural networks for fatigue crack propagation predictions in real-time under uncertainty

Computers & Structures

Venanzio Giannella

Francesco Bardozzo

Alberto Postiglione

Roberto Tagliaferri

Raffaele Sepe

...

2023/11/1

RSC package (CRAN)

Luca Coraggio

Pietro Coretto

Angela Serra

Roberto Tagliaferri

2023

Deep learning assisted Fourier ptychography for cells and tissue analysis

Vittorio Bianco

Marika Valentino

Jaromir Behal

Daniele Pirone

Francesco Bardozzo

...

2023/8/11

An automated pipeline integrating AlphaFold 2 and MODELLER for protein structure prediction

Computational and Structural Biotechnology Journal

Fabio Hernan Gil Zuluaga

Nancy D’Arminio

Francesco Bardozzo

Roberto Tagliaferri

Anna Marabotti

2023

ElegansAI: how a biological neural network would compare with artificial networks?

Andrea Terlizzi

Pietro Lio

Roberto Tagliaferri

Francesco Bardozzo

2023/6/6

Package ‘RSC’

Luca Coraggio

Pietro Coretto

Angela Serra

Roberto Tagliaferri

Maintainer Luca Coraggio

2023/4/17

We can make it better–improving the performances of AI-based predictors of protein structures

N D'Arminio

FABIO HERNAN GIL ZULUAGA

F Bardozzo

A Marabotti

R Tagliaferri

2022

Real-time FPM reconstruction and misalignment correction by numerical Multi-Look and GAN

V Bianco

M Delli Priscoli

M Valentino

D Pirone

J Behal

...

2022/7/11

Advances in Deep Learning, Artificial Intelligence and Robotics

Luigi Troiano

Alfredo Vaccaro

Roberto Tagliaferri

Nishtha Kesswani

Irene Díaz Rodriguez

...

2022

A comparison of deep learning models for end-to-end face-based video retrieval in unconstrained videos

Neural Computing and Applications

Gioele Ciaparrone

Leonardo Chiariglione

Roberto Tagliaferri

2022/5

StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy

Medical Image Analysis

Francesco Bardozzo

Toby Collins

Antonello Forgione

Alexandre Hostettler

Roberto Tagliaferri

2022/4/1

Investigating the effects of amino acid variations in human menin

Molecules

Carmen Biancaniello

Antonia D’Argenio

Deborah Giordano

Serena Dotolo

Bernardina Scafuri

...

2022/3/7

Deep learning for volatility forecasting in asset management

Soft Computing

Alessio Petrozziello

Luigi Troiano

Angela Serra

Ivan Jordanov

Giuseppe Storti

...

2022/9

Deep learning-based, misalignment resilient, real-time Fourier Ptychographic Microscopy reconstruction of biological tissue slides

IEEE Journal of Selected Topics in Quantum Electronics

Vittorio Bianco

Mattia Delli Priscoli

Daniele Pirone

Gennaro Zanfardino

Pasquale Memmolo

...

2022/2/24

Cross X-AI: Explainable semantic segmentation of laparoscopic images in relation to depth estimation

Francesco Bardozzo

Mattia Delli Priscoli

Toby Collins

Antonello Forgione

Alexandre Hostettler

...

2022/7/18

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

Bioinformatics

Francesco Bardozzo

Pietro Lió

Roberto Tagliaferri

2020/11

See List of Professors in Roberto TAGLIAFERRI University(Università degli Studi di Salerno)

Co-Authors

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