Vito Paolo Pastore

48 papers A 2B 2C 1Misc 1Journal 25Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Landmark Detection for assessing hip conditions: A Cross-Modality Validation of MRI versus X-ray. CoRR Roberto Di Via, Vito Paolo Pastore, Francesca Odone, Siôn Glyn-Jones, Irina Voiculescu
2026	J	`jnl`	Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models. CoRR Ivan Luiz De Moura Matos, Abdel Djalil Sad Saoud, Ekaterina Iakovleva, Vito Paolo Pastore, Enzo Tartaglione
2026	J	`jnl`	Infinite dimensional generative sensing. CoRR Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria
2025	—	`conf`	A Handful of Data: Evaluating Few-Shot Incremental Landmark Detection. ICIAP (2) Nikil Patel, Allison Clement, Julian Wyatt, Roberto Di Via, Davide Marinelli, Massimiliano Ciranni, Vito Paolo Pastore, Irina Voiculescu
2025	—	`conf`	Are X-Ray Landmark Detection Models Fair? A Preliminary Assessment and Mitigation Strategy. ICCVW Roberto Di Via, Massimiliano Ciranni, Davide Marinelli, Allison Clement, Nikil Patel, Julian Wyatt, Francesca Odone, Matteo Santacesaria, Irina Voiculescu, Vito Paolo Pastore
2025	—	`conf`	Assessing the Use of Diffusion Models for Motion Artifact Correction in Brain MRI. ISBI Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria
2025	J	`jnl`	Assessing the use of Diffusion models for motion artifact correction in brain MRI. CoRR Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria
2025	Misc	`conf`	Confidently Biased (ConB): A Per-sample Confidence Approach for Unsupervised Model Debiasing. ICIAP Massimiliano Ciranni, Aliaksandr Shcharbitski, Vittorio Murino, Vito Paolo Pastore
2025	J	`jnl`	DIMA: DIffusing Motion Artifacts for Unsupervised Correction in Brain MRI Images. IEEE Access Paolo Angella, Luca Balbi, Fabrizio Ferrando, Paolo Traverso, Rosario Varriale, Vito Paolo Pastore, Matteo Santacesaria
2025	J	`jnl`	DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI images. CoRR Paolo Angella, Luca Balbi, Fabrizio Ferrando, Paolo Traverso, Rosario Varriale, Vito Paolo Pastore, Matteo Santacesaria
2025	J	`jnl`	Diffusing DeBias: a Recipe for Turning a Bug into a Feature. CoRR Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via, Enzo Tartaglione, Francesca Odone, Vittorio Murino
2025	B	`conf`	Disentangled representations of microscopy images. IJCNN Jacopo Dapueto, Vito Paolo Pastore, Nicoletta Noceti, Francesca Odone
2025	J	`jnl`	Disentangled representations of microscopy images. CoRR Jacopo Dapueto, Vito Paolo Pastore, Nicoletta Noceti, Francesca Odone
2025	J	`jnl`	How I Met Your Bias: Investigating Bias Amplification in Diffusion Models. CoRR Nathan Roos, Ekaterina Iakovleva, Ani Gjergji, Vito Paolo Pastore, Enzo Tartaglione
2025	—	`conf`	In-domain Self-supervised Learning for Plankton Image Classification on a Budget. WACV (Workshops) Massimiliano Ciranni, Ani Gjergji, Andrea Maracani, Vittorio Murino, Vito Paolo Pastore
2025	A	`conf`	Looking at Model Debiasing through the Lens of Anomaly Detection. WACV Vito Paolo Pastore, Massimiliano Ciranni, Davide Marinelli, Francesca Odone, Vittorio Murino
2025	J	`jnl`	Say My Name: a Model's Bias Discovery Framework. Trans. Mach. Learn. Res. Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione
2025	—	`conf`	Self-Supervised Multi-Modal Learning for Accurate MRI Multiple Sclerosis Segmentation. ISBI Ani Gjergji, Massimiliano Ciranni, Matteo Moro, Vittorio Murino, Vito Paolo Pastore
2025	A	`conf`	Self-Supervised Pre-Training with Diffusion Model for Few-Shot Landmark Detection in X-Ray Images. WACV Roberto Di Via, Francesca Odone, Vito Paolo Pastore
2024	J	`jnl`	Computer vision and deep learning meet plankton: Milestones and future directions. Image Vis. Comput. Massimiliano Ciranni, Vittorio Murino, Francesca Odone, Vito Paolo Pastore
2024	J	`jnl`	Ensembles of Deep Neural Networks for the Automatic Detection of Building Facade Defects From Images. IEEE Access Matteo Interlando, Maria Giovanna Pacifico, Antonio Novellino, Vito Paolo Pastore
2024	—	`conf`	Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images? ISBI Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore
2024	J	`jnl`	Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images? CoRR Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore
2024	J	`jnl`	Looking at Model Debiasing through the Lens of Anomaly Detection. CoRR Vito Paolo Pastore, Massimiliano Ciranni, Davide Marinelli, Francesca Odone, Vittorio Murino
2024	J	`jnl`	Say My Name: a Model's Bias Discovery Framework. CoRR Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione
2024	J	`jnl`	Self-supervised pre-training with diffusion model for few-shot landmark detection in x-ray images. CoRR Roberto Di Via, Francesca Odone, Vito Paolo Pastore
2024	J	`jnl`	Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods. Image Vis. Comput. Paolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco, Francesca Odone
2023	—	`conf`	A Control-Oriented Highway Traffic Model with Multiple Clusters of CAVs. ITSC Tommy Chaanine, Angelo Ferrando, Cecilia Pasquale, Vito Paolo Pastore, Mahyar Sadeghi Garjan, S. Siri
2023	C	`conf`	AGAMAS: A New Agent-Oriented Traffic Simulation Framework for SUMO. EUMAS Mahyar Sadeghi Garjan, Tommy Chaanine, Cecilia Pasquale, Vito Paolo Pastore, Angelo Ferrando
2023	—	`conf`	An Unsupervised Learning Approach to Resolve Phenotype to Genotype Mapping in Budding Yeasts Vacuoles. ICIAP (2) Vito Paolo Pastore, Paolo Didier Alfano, Ashwini Oke, Sara Capponi, Daniel Eltanan, Xavier Woodruff-Madeira, Anita Nguyen, Jennifer Carol Fung, Simone Bianco
2023	—	`conf`	An efficient deep learning approach to identify dynamics in in vitro neural networks. EMBC Vito Paolo Pastore, Giulia Parodi, Martina Brofiga, Paolo Massobrio, Michela Chiappalone, Francesca Odone, Sergio Martinoia
2023	J	`jnl`	Efficient unsupervised learning of biological images with compressed deep features. Image Vis. Comput. Vito Paolo Pastore, Massimiliano Ciranni, Simone Bianco, Jennifer Carol Fung, Vittorio Murino, Francesca Odone
2023	—	`conf`	Food Image Classification: The Benefit of In-Domain Transfer Learning. ICIAP (2) Larbi Touijer, Vito Paolo Pastore, Francesca Odone
2023	—	`conf`	GCK-Maps: A Scene Unbiased Representation for Efficient Human Action Recognition. ICIAP (1) Elena Nicora, Vito Paolo Pastore, Nicoletta Noceti
2023	—	`conf`	Incorporating Diagnostic Prior with Segmentation: A Deep Learning Pipeline for the Automatic Classification of Autoimmune Bullous Skin Diseases. ISBI Vito Paolo Pastore, Larbi Touijer, Niccolò Capurro, Emanuele Cozzani, Giulia Gasparini, Aurora Parodi, Francesca Odone
2022	J	`jnl`	A markerless pipeline to analyze spontaneous movements of preterm infants. Comput. Methods Programs Biomed. Matteo Moro, Vito Paolo Pastore, Chiara Tacchino, Paola Durand, Isabella Blanchi, Paolo Moretti, Francesca Odone, Maura Casadio
2022	—	`conf`	An Anomaly Detection Approach for Plankton Species Discovery. ICIAP (2) Vito Paolo Pastore, Nimrod Megiddo, Simone Bianco
2022	B	`conf`	Efficient Unsupervised Learning for Plankton Images. ICPR Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
2022	J	`jnl`	Efficient Unsupervised Learning for Plankton Images. CoRR Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
2022	J	`jnl`	Fine-tuning or top-tuning? Transfer learning with pretrained features and fast kernel methods. CoRR Paolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco, Francesca Odone
2018	—	`—`	Development of statistical and computational methods to estimate functional connectivity and topology in large-scale neuronal assemblies. Vito Paolo Pastore
2018	J	`jnl`	Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordings. PLoS Comput. Biol. Vito Paolo Pastore, Paolo Massobrio, Aleksandar Godjoski, Sergio Martinoia
2018	J	`jnl`	SpiCoDyn: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal Recordings. Neuroinformatics Vito Paolo Pastore, Aleksandar Godjoski, Sergio Martinoia, Paolo Massobrio
2017	—	`conf`	A toolbox for dynamic and connectivity analysis of neuronal spike trains data. NER Vito Paolo Pastore, Aleksandar Godjoski, Sergio Martinoia, Paolo Massobrio
2017	J	`jnl`	Corrigendum: ToolConnect: A Functional Connectivity Toolbox for In vitro Networks. Frontiers Neuroinformatics Vito Paolo Pastore, Daniele Poli, Aleksandar Godjoski, Sergio Martinoia, Paolo Massobrio
2016	J	`jnl`	ToolConnect: A Functional Connectivity Toolbox for In vitro Networks. Frontiers Neuroinformatics Vito Paolo Pastore, Daniele Poli, Aleksandar Godjoski, Sergio Martinoia, Paolo Massobrio
2015	—	`conf`	A new connectivity toolbox to infer topological features of in-vitro neural networks. EMBC Vito Paolo Pastore, Daniele Poli, Sergio Martinoia, Paolo Massobrio
2015	—	`conf`	Functional connectivity in cultured cortical networks during development: Comparison between correlation and information theory-based algorithms. NER Daniele Poli, Vito Paolo Pastore, Paolo Massobrio, Sergio Martinoia