A new connectivity toolbox to infer topological features of in-vitro neural networks. - Vito Paolo Pastore; Daniele Poli; Sergio Martinoia; Paolo Massobrio (EMBC, 2015)

Functional connectivity in cultured cortical networks during development: Comparison between correlation and information theory-based algorithms. - Daniele Poli; Vito Paolo Pastore; Paolo Massobrio; Sergio Martinoia (NER, 2015)

ToolConnect: A Functional Connectivity Toolbox for In vitro Networks. - Vito Paolo Pastore; Daniele Poli; Aleksandar Godjoski; Sergio Martinoia; Paolo Massobrio (Frontiers Neuroinformatics, 2016)

A toolbox for dynamic and connectivity analysis of neuronal spike trains data. - Vito Paolo Pastore; Aleksandar Godjoski; Sergio Martinoia; Paolo Massobrio (NER, 2017)

Corrigendum: ToolConnect: A Functional Connectivity Toolbox for In vitro Networks. - Vito Paolo Pastore; Daniele Poli; Aleksandar Godjoski; Sergio Martinoia; Paolo Massobrio (Frontiers Neuroinformatics, 2017)

SpiCoDyn: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal Recordings. - Vito Paolo Pastore; Aleksandar Godjoski; Sergio Martinoia; Paolo Massobrio (Neuroinformatics, 2018)

Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordings. - Vito Paolo Pastore; Paolo Massobrio; Aleksandar Godjoski; Sergio Martinoia (PLoS Comput. Biol., 2018)

Development of statistical and computational methods to estimate functional connectivity and topology in large-scale neuronal assemblies. - Vito Paolo Pastore (2018)

An Anomaly Detection Approach for Plankton Species Discovery. - Vito Paolo Pastore; Nimrod Megiddo; Simone Bianco 002 (ICIAP (2), 2022)

Efficient Unsupervised Learning for Plankton Images. - Paolo Didier Alfano; Marco Rando; Marco Letizia; Francesca Odone; Lorenzo Rosasco; Vito Paolo Pastore (ICPR, 2022)

A markerless pipeline to analyze spontaneous movements of preterm infants. - Matteo Moro; Vito Paolo Pastore; Chiara Tacchino; Paola Durand; Isabella Blanchi; Paolo Moretti; Francesca Odone; Maura Casadio (Comput. Methods Programs Biomed., 2022)

Fine-tuning or top-tuning? Transfer learning with pretrained features and fast kernel methods. - Paolo Didier Alfano; Vito Paolo Pastore; Lorenzo Rosasco; Francesca Odone (CoRR, 2022)

An efficient deep learning approach to identify dynamics in in vitro neural networks. - Vito Paolo Pastore; Giulia Parodi; Martina Brofiga; Paolo Massobrio; Michela Chiappalone; Francesca Odone; Sergio Martinoia (EMBC, 2023)

AGAMAS: A New Agent-Oriented Traffic Simulation Framework for SUMO. - Mahyar Sadeghi Garjan; Tommy Chaanine; Cecilia Pasquale; Vito Paolo Pastore; Angelo Ferrando 001 (EUMAS, 2023)

GCK-Maps: A Scene Unbiased Representation for Efficient Human Action Recognition. - Elena Nicora; Vito Paolo Pastore; Nicoletta Noceti (ICIAP (1), 2023)

An Unsupervised Learning Approach to Resolve Phenotype to Genotype Mapping in Budding Yeasts Vacuoles. - Vito Paolo Pastore; Paolo Didier Alfano; Ashwini Oke; Sara Capponi; Daniel Eltanan; Xavier Woodruff-Madeira; Anita Nguyen; Jennifer Carol Fung; Simone Bianco 002 (ICIAP (2), 2023)

Food Image Classification: The Benefit of In-Domain Transfer Learning. - Larbi Touijer; Vito Paolo Pastore; Francesca Odone (ICIAP (2), 2023)

Incorporating Diagnostic Prior with Segmentation: A Deep Learning Pipeline for the Automatic Classification of Autoimmune Bullous Skin Diseases. - Vito Paolo Pastore; Larbi Touijer; Niccolò Capurro; Emanuele Cozzani; Giulia Gasparini; Aurora Parodi; Francesca Odone (ISBI, 2023)

A Control-Oriented Highway Traffic Model with Multiple Clusters of CAVs. - Tommy Chaanine; Angelo Ferrando 001; Cecilia Pasquale; Vito Paolo Pastore; Mahyar Sadeghi Garjan; S. Siri (ITSC, 2023)

Efficient unsupervised learning of biological images with compressed deep features. - Vito Paolo Pastore; Massimiliano Ciranni; Simone Bianco 002; Jennifer Carol Fung; Vittorio Murino; Francesca Odone (Image Vis. Comput., 2023)

Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images? - Roberto Di Via; Matteo Santacesaria; Francesca Odone; Vito Paolo Pastore (ISBI, 2024)

Ensembles of Deep Neural Networks for the Automatic Detection of Building Facade Defects From Images. - Matteo Interlando; Maria Giovanna Pacifico; Antonio Novellino; Vito Paolo Pastore (IEEE Access, 2024)

Say My Name: a Model's Bias Discovery Framework. - Massimiliano Ciranni; Luca Molinaro; Carlo Alberto Barbano; Attilio Fiandrotti; Vittorio Murino; Vito Paolo Pastore; Enzo Tartaglione (CoRR, 2024)

Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods. - Paolo Didier Alfano; Vito Paolo Pastore; Lorenzo Rosasco; Francesca Odone (Image Vis. Comput., 2024)

Computer vision and deep learning meet plankton: Milestones and future directions. - Massimiliano Ciranni; Vittorio Murino; Francesca Odone; Vito Paolo Pastore (Image Vis. Comput., 2024)

Assessing the Use of Diffusion Models for Motion Artifact Correction in Brain MRI. - Paolo Angella; Vito Paolo Pastore; Matteo Santacesaria (ISBI, 2025)

Self-Supervised Multi-Modal Learning for Accurate MRI Multiple Sclerosis Segmentation. - Ani Gjergji; Massimiliano Ciranni; Matteo Moro; Vittorio Murino; Vito Paolo Pastore (ISBI, 2025)

In-domain Self-supervised Learning for Plankton Image Classification on a Budget. - Massimiliano Ciranni; Ani Gjergji; Andrea Maracani; Vittorio Murino; Vito Paolo Pastore (WACV (Workshops), 2025)

Looking at Model Debiasing through the Lens of Anomaly Detection. - Vito Paolo Pastore; Massimiliano Ciranni; Davide Marinelli; Francesca Odone; Vittorio Murino (WACV, 2025)

Self-Supervised Pre-Training with Diffusion Model for Few-Shot Landmark Detection in X-Ray Images. - Roberto Di Via; Francesca Odone; Vito Paolo Pastore (WACV, 2025)

Diffusing DeBias: a Recipe for Turning a Bug into a Feature. - Massimiliano Ciranni; Vito Paolo Pastore; Roberto Di Via; Enzo Tartaglione; Francesca Odone; Vittorio Murino (CoRR, 2025)

DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI images. - Paolo Angella; Luca Balbi; Fabrizio Ferrando; Paolo Traverso; Rosario Varriale; Vito Paolo Pastore; Matteo Santacesaria (CoRR, 2025)

Disentangled representations of microscopy images. - Jacopo Dapueto; Vito Paolo Pastore; Nicoletta Noceti; Francesca Odone (CoRR, 2025)