Vito Paolo Pastore

According to our database, Vito Paolo Pastore authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 2024

2023

Efficient unsupervised learning of biological images with compressed deep features.

Vito Paolo Pastore, Massimiliano Ciranni, Simone Bianco, Jennifer Carol Fung, Vittorio Murino, Francesca Odone

Image Vis. Comput., September, 2023

A Control-Oriented Highway Traffic Model with Multiple Clusters of CAVs.

Tommy Chaanine, Angelo Ferrando, C. Pasquale, Vito Paolo Pastore, Mahyar Sadeghi Garjan, S. Siri

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Food Image Classification: The Benefit of In-Domain Transfer Learning.

Larbi Touijer, Vito Paolo Pastore, Francesca Odone

Proceedings of the Image Analysis and Processing - ICIAP 2023, 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

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

GCK-Maps: A Scene Unbiased Representation for Efficient Human Action Recognition.

Elena Nicora, Vito Paolo Pastore, Nicoletta Noceti

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

AGAMAS: A New Agent-Oriented Traffic Simulation Framework for SUMO.

Mahyar Sadeghi Garjan, Tommy Chaanine, Cecilia Pasquale, Vito Paolo Pastore, Angelo Ferrando

Proceedings of the Multi-Agent Systems - 20th European Conference, 2023

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

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

Efficient Unsupervised Learning for Plankton Images.

Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore

Proceedings of the 26th International Conference on Pattern Recognition, 2022

An Anomaly Detection Approach for Plankton Species Discovery.

Vito Paolo Pastore, Nimrod Megiddo, Simone Bianco

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2018

Development of statistical and computational methods to estimate functional connectivity and topology in large-scale neuronal assemblies.

Vito Paolo Pastore

PhD thesis, 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

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

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

A toolbox for dynamic and connectivity analysis of neuronal spike trains data.

Vito Paolo Pastore, Aleksandar Godjoski, Sergio Martinoia, Paolo Massobrio

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

2016

ToolConnect: A Functional Connectivity Toolbox for In vitro Networks.

Vito Paolo Pastore, Daniele Poli, Aleksandar Godjoski, Sergio Martinoia, Paolo Massobrio

Frontiers Neuroinformatics, 2016

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

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

A new connectivity toolbox to infer topological features of in-vitro neural networks.

Vito Paolo Pastore, Daniele Poli, Sergio Martinoia, Paolo Massobrio

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015