Vito Paolo Pastore

According to our database, Vito Paolo Pastore authored at least 43 papers between 2015 and 2026.

Collaborative distances:

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

2026

Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models.

Ivan Luiz De Moura Matos, Abdel Djalil Sad Saoud, Ekaterina Iakovleva, Vito Paolo Pastore, Enzo Tartaglione

CoRR, March, 2026

Infinite dimensional generative sensing.

Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria

CoRR, March, 2026

How I Met Your Bias: Investigating Bias Amplification in Diffusion Models.

Nathan Roos, Ekaterina Iakovleva, Ani Gjergji, Vito Paolo Pastore, Enzo Tartaglione

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Lose Your Self (LoYS): an adversarial entropy-based unsupervised approach for model debiasing.

Vito Paolo Pastore, Massimiliano Ciranni, Vittorio Murino

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Automated Landmark Detection for Assessing Hip Conditions: A Cross-Modality Validation of Mri Versus X-Ray.

Roberto Di Via, Vito Paolo Pastore, Francesca Odone, Siôn Glyn-Jones, Irina Voiculescu

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

A Pair-Weighing Strategy for Enhancing Clip Zero-Shot Classification for Chest X-Rays.

Ibrahim Altufayli, Massimiliano Ciranni, Carlo Alberto Barbano, Vittorio Murino, Vito Paolo Pastore

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

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, February, 2025

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

Trans. Mach. Learn. Res., 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

IEEE Access, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Looking at Model Debiasing through the Lens of Anomaly Detection.

Vito Paolo Pastore, Massimiliano Ciranni, Davide Marinelli, Francesca Odone, Vittorio Murino

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

In-domain Self-supervised Learning for Plankton Image Classification on a Budget.

Massimiliano Ciranni, Ani Gjergji, Andrea Maracani, Vittorio Murino, Vito Paolo Pastore

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing.

Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via, Enzo Tartaglione, Francesca Odone, Vittorio Murino

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Self-Supervised Multi-Modal Learning for Accurate MRI Multiple Sclerosis Segmentation.

Ani Gjergji, Massimiliano Ciranni, Matteo Moro, Vittorio Murino, Vito Paolo Pastore

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Assessing the Use of Diffusion Models for Motion Artifact Correction in Brain MRI.

Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Disentangled representations of microscopy images.

Jacopo Dapueto, Vito Paolo Pastore, Nicoletta Noceti, Francesca Odone

Proceedings of the International Joint Conference on Neural Networks, 2025

A Handful of Data: Evaluating Few-Shot Incremental Landmark Detection.

Nikil Patel, Allison Clement, Julian Wyatt, Roberto Di Via, Davide Marinelli, Massimiliano Ciranni, Vito Paolo Pastore, Irina Voiculescu

Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

Confidently Biased (ConB): A Per-sample Confidence Approach for Unsupervised Model Debiasing.

Massimiliano Ciranni, Aliaksandr Shcharbitski, Vittorio Murino, Vito Paolo Pastore

Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

Are X-Ray Landmark Detection Models Fair? A Preliminary Assessment and Mitigation Strategy.

Roberto Di Via, Massimiliano Ciranni, Davide Marinelli, Allison Clement, Nikil Patel, Julian Wyatt, Francesca Odone, Matteo Santacesaria, Irina Voiculescu, Vito Paolo Pastore

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

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

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

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

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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, Cecilia Pasquale, Vito Paolo Pastore, Mahyar Sadeghi Garjan, Silvia Siri

Proceedings of the 26th 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