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ORCIDVito Paolo Pastore
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2020 – today
- 2024
[j8]Paolo Didier Alfano, Vito Paolo Pastore
, Lorenzo Rosasco, Francesca Odone:
Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods. Image Vis. Comput. 142: 104894 (2024)- [j7]Massimiliano Ciranni, Vittorio Murino, Francesca Odone, Vito Paolo Pastore:
Computer vision and deep learning meet plankton: Milestones and future directions. Image Vis. Comput. 143: 104934 (2024) - [c13]Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore:
Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images? ISBI 2024: 1-5 - [i6]Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore:
Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images? CoRR abs/2403.01470 (2024) - [i5]Vito Paolo Pastore, Massimiliano Ciranni, Davide Marinelli, Francesca Odone, Vittorio Murino:
Looking at Model Debiasing through the Lens of Anomaly Detection. CoRR abs/2407.17449 (2024) - [i4]Roberto Di Via, Francesca Odone, Vito Paolo Pastore:
Self-supervised pre-training with diffusion model for few-shot landmark detection in x-ray images. CoRR abs/2407.18125 (2024) - [i3]Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione:
Say My Name: a Model's Bias Discovery Framework. CoRR abs/2408.09570 (2024) - 2023
- [j6]Vito Paolo Pastore, Massimiliano Ciranni, Simone Bianco, Jennifer Carol Fung, Vittorio Murino, Francesca Odone:
Efficient unsupervised learning of biological images with compressed deep features. Image Vis. Comput. 137: 104764 (2023) - [c12]Vito Paolo Pastore, Giulia Parodi, Martina Brofiga, Paolo Massobrio, Michela Chiappalone, Francesca Odone, Sergio Martinoia:
An efficient deep learning approach to identify dynamics in in vitro neural networks. EMBC 2023: 1-4 - [c11]Mahyar Sadeghi Garjan, Tommy Chaanine, Cecilia Pasquale, Vito Paolo Pastore, Angelo Ferrando:
AGAMAS: A New Agent-Oriented Traffic Simulation Framework for SUMO. EUMAS 2023: 396-405 - [c10]Elena Nicora, Vito Paolo Pastore, Nicoletta Noceti:
GCK-Maps: A Scene Unbiased Representation for Efficient Human Action Recognition. ICIAP (1) 2023: 62-73 - [c9]Vito Paolo Pastore, Paolo Didier Alfano, Ashwini Oke, Sara Capponi, Daniel Eltanan, Xavier Woodruff-Madeira, Anita Nguyen, Jennifer Carol Fung, Simone Bianco:
An Unsupervised Learning Approach to Resolve Phenotype to Genotype Mapping in Budding Yeasts Vacuoles. ICIAP (2) 2023: 247-258 - [c8]Larbi Touijer, Vito Paolo Pastore, Francesca Odone:
Food Image Classification: The Benefit of In-Domain Transfer Learning. ICIAP (2) 2023: 259-269 - [c7]Vito Paolo Pastore, Larbi Touijer, Niccolò Capurro, Emanuele Cozzani, Giulia Gasparini, Aurora Parodi, Francesca Odone:
Incorporating Diagnostic Prior with Segmentation: A Deep Learning Pipeline for the Automatic Classification of Autoimmune Bullous Skin Diseases. ISBI 2023: 1-5 - [c6]Tommy Chaanine, Angelo Ferrando, Cecilia Pasquale, Vito Paolo Pastore, Mahyar Sadeghi Garjan, S. Siri:
A Control-Oriented Highway Traffic Model with Multiple Clusters of CAVs. ITSC 2023: 5198-5203 - 2022
- [j5]Matteo Moro, Vito Paolo Pastore, Chiara Tacchino, Paola Durand, Isabella Blanchi, Paolo Moretti, Francesca Odone, Maura Casadio:
A markerless pipeline to analyze spontaneous movements of preterm infants. Comput. Methods Programs Biomed. 226: 107119 (2022) - [c5]Vito Paolo Pastore, Nimrod Megiddo, Simone Bianco:
An Anomaly Detection Approach for Plankton Species Discovery. ICIAP (2) 2022: 599-609 - [c4]Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore:
Efficient Unsupervised Learning for Plankton Images. ICPR 2022: 1314-1321 - [i2]Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore:
Efficient Unsupervised Learning for Plankton Images. CoRR abs/2209.06726 (2022) - [i1]Paolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco, Francesca Odone:
Fine-tuning or top-tuning? Transfer learning with pretrained features and fast kernel methods. CoRR abs/2209.07932 (2022)
2010 – 2019
- 2018
- [b1]Vito Paolo Pastore:
Development of statistical and computational methods to estimate functional connectivity and topology in large-scale neuronal assemblies. University of Genoa, Italy, 2018 - [j4]Vito Paolo Pastore, Aleksandar Godjoski, Sergio Martinoia, Paolo Massobrio:
SpiCoDyn: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal Recordings. Neuroinformatics 16(1): 15-30 (2018) - [j3]Vito Paolo Pastore, Paolo Massobrio, Aleksandar Godjoski, Sergio Martinoia:
Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordings. PLoS Comput. Biol. 14(8) (2018) - 2017
- [j2]Vito Paolo Pastore, Daniele Poli, Aleksandar Godjoski, Sergio Martinoia, Paolo Massobrio:
Corrigendum: ToolConnect: A Functional Connectivity Toolbox for In vitro Networks. Frontiers Neuroinformatics 11: 37 (2017) - [c3]Vito Paolo Pastore, Aleksandar Godjoski, Sergio Martinoia, Paolo Massobrio:
A toolbox for dynamic and connectivity analysis of neuronal spike trains data. NER 2017: 580-583 - 2016
- [j1]Vito Paolo Pastore, Daniele Poli, Aleksandar Godjoski, Sergio Martinoia, Paolo Massobrio:
ToolConnect: A Functional Connectivity Toolbox for In vitro Networks. Frontiers Neuroinformatics 10: 13 (2016) - 2015
- [c2]Vito Paolo Pastore, Daniele Poli, Sergio Martinoia, Paolo Massobrio:
A new connectivity toolbox to infer topological features of in-vitro neural networks. EMBC 2015: 2832-2835 - [c1]Daniele Poli, Vito Paolo Pastore, Paolo Massobrio, Sergio Martinoia:
Functional connectivity in cultured cortical networks during development: Comparison between correlation and information theory-based algorithms. NER 2015: 374-377
Coauthor Index
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