PASTORE, VITO PAOLO
PASTORE, VITO PAOLO
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
A markerless pipeline to analyze spontaneous movements of preterm infants
2022-01-01 Moro, M.; Pastore, V. P.; Tacchino, C.; Durand, P.; Blanchi, I.; Moretti, P.; Odone, F.; Casadio, M.
A new connectivity toolbox to infer topological features of in-vitro neural networks
2015-01-01 Pastore, VITO PAOLO; Poli, Daniele; Martinoia, Sergio; Massobrio, Paolo
A semi-automatic toolbox for markerless effective semantic feature extraction
2022-01-01 Pastore, Vito Paolo; Moro, Matteo; Odone, Francesca
A toolbox for dynamic and connectivity CP analysis of neuronal spike trains data
2017-01-01 Pastore, Vito Paolo; Godjoski, Aleksandar; Martinoia, Sergio; Massobrio, Paolo
AGAMAS: A New Agent-Oriented Traffic Simulation Framework for SUMO
2023-01-01 SADEGHI GARJAN, Mahyar; Chaanine, Tommy; Pasquale, Cecilia; Pastore, VITO PAOLO; Ferrando, Angelo
An Anomaly Detection Approach for Plankton Species Discovery
2022-01-01 Pastore, Vito Paolo; Megiddo, Nimrod; Bianco, Simone
An efficient deep learning approach to identify dynamics in in vitro neural networks
2023-01-01 Pastore, V. P.; Parodi, G.; Brofiga, M.; Massobrio, P.; Chiappalone, M.; Odone, F.; Martinoia, S.
An Unsupervised Learning Approach to Resolve Phenotype to Genotype Mapping in Budding Yeasts Vacuoles
2023-01-01 Pastore, V. P.; Alfano, P. D.; Oke, A.; Capponi, S.; Eltanan, D.; Woodruff-Madeira, X.; Nguyen, A.; Fung, J. C.; Bianco, S.
Annotation-free learning of plankton for classification and anomaly detection
2020-01-01 Pastore, V. P.; Zimmerman, T. G.; Biswas, S. K.; Bianco, S.
Anomaly detection in feature space for detecting changes in phytoplankton populations
2024-01-01 Ciranni, M.; Odone, F.; Pastore, V. P.
Automatic video analysis and classification of sleep-related hypermotor seizures and disorders of arousal
2023-01-01 Moro, M.; Pastore, V. P.; Marchesi, G.; Proserpio, P.; Tassi, L.; Castelnovo, A.; Manconi, M.; Nobile, G.; Cordani, R.; Gibbs, S. A.; Odone, F.; Casadio, M.; Nobili, L.
Computer vision and deep learning meet plankton: Milestones and future directions
2024-01-01 Ciranni, M.; Murino, V.; Odone, F.; Pastore, V. P.
Convolutional autoencoder based model HistoCAE for segmentation of viable tumor regions in liver whole-slide images
2021-01-01 Roy, M.; Kong, J.; Kashyap, S.; Pastore, V. P.; Wang, F.; Wong, K. C. L.; Mukherjee, V.
Deepening the role of excitation/inhibition balance in human iPSCs-derived neuronal networks coupled to MEAs during long-term development
2023-01-01 Parodi, Giulia; Brofiga, Martina; Pastore, VITO PAOLO; Chiappalone, Michela; Martinoia, Sergio
Development of statistical and computational methods to estimate functional connectivity and topology in large-scale neuronal assemblies
2018-02-13 Pastore, VITO PAOLO
Efficient Unsupervised Learning for Plankton Images
2022-01-01 Alfano, PAOLO DIDIER; Rando, Marco; Letizia, Marco; Odone, Francesca; Rosasco, Lorenzo; Pastore, VITO PAOLO
Efficient unsupervised learning of biological images with compressed deep features
2023-01-01 Pastore, V. P.; Ciranni, M.; Bianco, S.; Fung, J. C.; Murino, V.; Odone, F.
Establishing the baseline for using plankton as biosensor
2019-01-01 Pastore, V. P.; Zimmerman, T.; Biswas, S. K.; Bianco, S.
Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies: Statistical and computational methods
2021-01-01 Pastore, VITO PAOLO
Food Image Classification: The Benefit of In-Domain Transfer Learning
2023-01-01 Touijer, L.; Pastore, V. P.; Odone, F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A markerless pipeline to analyze spontaneous movements of preterm infants | 1-gen-2022 | Moro, M.; Pastore, V. P.; Tacchino, C.; Durand, P.; Blanchi, I.; Moretti, P.; Odone, F.; Casadio, M. | |
| A new connectivity toolbox to infer topological features of in-vitro neural networks | 1-gen-2015 | Pastore, VITO PAOLO; Poli, Daniele; Martinoia, Sergio; Massobrio, Paolo | |
| A semi-automatic toolbox for markerless effective semantic feature extraction | 1-gen-2022 | Pastore, Vito Paolo; Moro, Matteo; Odone, Francesca | |
| A toolbox for dynamic and connectivity CP analysis of neuronal spike trains data | 1-gen-2017 | Pastore, Vito Paolo; Godjoski, Aleksandar; Martinoia, Sergio; Massobrio, Paolo | |
| AGAMAS: A New Agent-Oriented Traffic Simulation Framework for SUMO | 1-gen-2023 | SADEGHI GARJAN, Mahyar; Chaanine, Tommy; Pasquale, Cecilia; Pastore, VITO PAOLO; Ferrando, Angelo | |
| An Anomaly Detection Approach for Plankton Species Discovery | 1-gen-2022 | Pastore, Vito Paolo; Megiddo, Nimrod; Bianco, Simone | |
| An efficient deep learning approach to identify dynamics in in vitro neural networks | 1-gen-2023 | Pastore, V. P.; Parodi, G.; Brofiga, M.; Massobrio, P.; Chiappalone, M.; Odone, F.; Martinoia, S. | |
| An Unsupervised Learning Approach to Resolve Phenotype to Genotype Mapping in Budding Yeasts Vacuoles | 1-gen-2023 | Pastore, V. P.; Alfano, P. D.; Oke, A.; Capponi, S.; Eltanan, D.; Woodruff-Madeira, X.; Nguyen, A.; Fung, J. C.; Bianco, S. | |
| Annotation-free learning of plankton for classification and anomaly detection | 1-gen-2020 | Pastore, V. P.; Zimmerman, T. G.; Biswas, S. K.; Bianco, S. | |
| Anomaly detection in feature space for detecting changes in phytoplankton populations | 1-gen-2024 | Ciranni, M.; Odone, F.; Pastore, V. P. | |
| Automatic video analysis and classification of sleep-related hypermotor seizures and disorders of arousal | 1-gen-2023 | Moro, M.; Pastore, V. P.; Marchesi, G.; Proserpio, P.; Tassi, L.; Castelnovo, A.; Manconi, M.; Nobile, G.; Cordani, R.; Gibbs, S. A.; Odone, F.; Casadio, M.; Nobili, L. | |
| Computer vision and deep learning meet plankton: Milestones and future directions | 1-gen-2024 | Ciranni, M.; Murino, V.; Odone, F.; Pastore, V. P. | |
| Convolutional autoencoder based model HistoCAE for segmentation of viable tumor regions in liver whole-slide images | 1-gen-2021 | Roy, M.; Kong, J.; Kashyap, S.; Pastore, V. P.; Wang, F.; Wong, K. C. L.; Mukherjee, V. | |
| Deepening the role of excitation/inhibition balance in human iPSCs-derived neuronal networks coupled to MEAs during long-term development | 1-gen-2023 | Parodi, Giulia; Brofiga, Martina; Pastore, VITO PAOLO; Chiappalone, Michela; Martinoia, Sergio | |
| Development of statistical and computational methods to estimate functional connectivity and topology in large-scale neuronal assemblies | 13-feb-2018 | Pastore, VITO PAOLO | |
| Efficient Unsupervised Learning for Plankton Images | 1-gen-2022 | Alfano, PAOLO DIDIER; Rando, Marco; Letizia, Marco; Odone, Francesca; Rosasco, Lorenzo; Pastore, VITO PAOLO | |
| Efficient unsupervised learning of biological images with compressed deep features | 1-gen-2023 | Pastore, V. P.; Ciranni, M.; Bianco, S.; Fung, J. C.; Murino, V.; Odone, F. | |
| Establishing the baseline for using plankton as biosensor | 1-gen-2019 | Pastore, V. P.; Zimmerman, T.; Biswas, S. K.; Bianco, S. | |
| Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies: Statistical and computational methods | 1-gen-2021 | Pastore, VITO PAOLO | |
| Food Image Classification: The Benefit of In-Domain Transfer Learning | 1-gen-2023 | Touijer, L.; Pastore, V. P.; Odone, F. |