Multi omic oscillations in bacterial pathways. - Francesco Bardozzo; Pietro Liò; Roberto Tagliaferri (IJCNN, 2015)

A study on multi-omic oscillations in Escherichia coli metabolic networks. - Francesco Bardozzo; Pietro Liò; Roberto Tagliaferri (BMC Bioinform., 2018)

Motor strength classification with machine learning approaches applied to anatomical neuroimages. - Francesco Bardozzo; Sebastian Cano Uribe; Andrea G. Russo; Mateo Jiménez Castaño; Mattia delli Priscoli; Fabrizio Esposito; Roberto Tagliaferri (IJCNN, 2020)

A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection. - Gioele Ciaparrone; Francesco Bardozzo; Mattia delli Priscoli; Juanita Londoño Kallewaard; Maycol Ruiz Zuluaga; Roberto Tagliaferri (IJCNN, 2020)

A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways. - Francesco Bardozzo; Pietro Liò; Roberto Tagliaferri (CoRR, 2020)

Adaptive binarization based on fuzzy integrals. - Francesco Bardozzo; Borja de la Osa; Lubomíra Horanská; Javier Fumanal-Idocin; Mattia delli Priscoli; Luigi Troiano; Roberto Tagliaferri; Javier Fernández 002; Humberto Bustince (CoRR, 2020)

Soft Brain Ageing Indicators Based on Light-Weight LeNet-Like Neural Networks and Localized 2D Brain Age Biomarkers. - Francesco Bardozzo; Mattia delli Priscoli; Andrea G. Russo; Davide Crescenzi; Ugo Di Benedetto; Fabrizio Esposito; Roberto Tagliaferri (CIBB, 2021)

Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network. - Fabio Hernán Gil Zuluaga; Francesco Bardozzo; Jorge Iván Ríos Patiño; Roberto Tagliaferri (EMBC, 2021)

Gated Local Adaptive Binarization using supervised learning. - Javier Fumanal-Idocin; Juan Uriarte; Borja de la Osa; Francesco Bardozzo; Javier Fernández 002; Humberto Bustince (WILF, 2021)

Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks. - Francesco Bardozzo; Pietro Lió; Roberto Tagliaferri (Bioinform., 2021)

Sugeno integral generalization applied to improve adaptive image binarization. - Francesco Bardozzo; Borja de la Osa; Lubomíra Horanská; Javier Fumanal-Idocin; Mattia delli Priscoli; Luigi Troiano; Roberto Tagliaferri; Javier Fernández 002; Humberto Bustince (Inf. Fusion, 2021)

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; Roberto Tagliaferri (IJCNN, 2022)

StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy. - Francesco Bardozzo; Toby Collins; Antonello Forgione; Alexandre Hostettler; Roberto Tagliaferri (Medical Image Anal., 2022)

Transfer Learning and AutoML as a Support for the Pneumonia Diagnosis Using Chest X-ray Scan. - Antonio Agliata; Francesco Bardozzo; Salvatore Bottiglieri; Giovanni Marco Di Vincenzo; Sorrentino Mariacarmen; Roberto Tagliaferri (CIBB, 2023)

ElegansNet: a brief scientific report and initial experiments. - Francesco Bardozzo; Andrea Terlizzi; Pietro Liò; Roberto Tagliaferri (CoRR, 2023)

FP-Elegans M1: Feature Pyramid Reservoir Connectome Transformers and Multi-backbone Feature Extractors for MEDMNIST2D-V2. - Francesco Bardozzo; Pierpaolo Fiore; Pietro Liò; Roberto Tagliaferri (CIBB, 2024)

Label-Free Nervous System Single Cell Classification Using Pretrained VGG and ResNet Networks. - Pierpaolo Fiore; Francesco Bardozzo; Roberto Tagliaferri (RTSI, 2024)

Enhanced tissue slide imaging in the complex domain via cross-explainable GAN for Fourier ptychographic microscopy. - Francesco Bardozzo; Pierpaolo Fiore; Marika Valentino; Vittorio Bianco; Pasquale Memmolo; Lisa Miccio; Valentina Brancato; Giovanni Smaldone; Marcello Gambacorta; Marco Salvatore; Pietro Ferraro; Roberto Tagliaferri (Comput. Biol. Medicine, 2024)

Elegans-AI: How the connectome of a living organism could model artificial neural networks. - Francesco Bardozzo; Andrea Terlizzi; Claudio Simoncini; Pietro Lió; Roberto Tagliaferri (Neurocomputing, 2024)

Advancing label-free cell classification with connectome-inspired explainable models and a novel LIVECell-CLS dataset. - Pierpaolo Fiore; Andrea Terlizzi; Francesco Bardozzo; Pietro Liò; Roberto Tagliaferri (Comput. Biol. Medicine, 2025)