PASTORE, VITO PAOLO
PASTORE, VITO PAOLO
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
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 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.
Efficient Unsupervised Learning for Plankton Images
2022-01-01 Alfano, PAOLO DIDIER; Rando, Marco; Letizia, Marco; Odone, Francesca; Rosasco, Lorenzo; Pastore, VITO PAOLO
Establishing the baseline for using plankton as biosensor
2019-01-01 Pastore, V. P.; Zimmerman, T.; Biswas, S. K.; Bianco, S.
Food Image Classification: The Benefit of In-Domain Transfer Learning
2023-01-01 Touijer, L.; Pastore, V. P.; Odone, F.
Functional connectivity in cultured cortical networks during development: Comparison between correlation and information theory-based algorithms
2015-01-01 Poli, Daniele; Pastore, VITO PAOLO; Massobrio, Paolo; Martinoia, Sergio
GCK-Maps: A Scene Unbiased Representation for Efficient Human Action Recognition
2023-01-01 Nicora, E.; Pastore, V. P.; Noceti, N.
High throughput analysis of plankton morphology and dynamic
2019-01-01 Biswas, S. K.; Zimmerman, T.; Maini, L.; Adebiyi, A.; Bozano, L.; Brown, C.; Pastore, V. P.; Bianco, S.
In Domain Transfer Learning for Prostate MRI Segmentation
2024-01-01 Touijer, L.; Santacesaria, M.; Odone, F.; Pastore, V. P.
Incorporating Diagnostic Prior with Segmentation: A Deep Learning Pipeline for the Automatic Classification of Autoimmune Bullous Skin Diseases
2023-01-01 Pastore, V. P.; Touijer, L.; Capurro, N.; Cozzani, E.; Gasparini, G.; Parodi, A.; Odone, F.
Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images?
2024-01-01 Di Via, R.; Santacesaria, M.; Odone, F.; Pastore, V. P.
Partial correlation analysis for functional connectivity studies in cortical networks
2014-01-01 Poli, Daniele; Pastore, VITO PAOLO; Martinoia, Sergio; Massobrio, Paolo
Stereo in-line holographic digital microscope
2019-01-01 Zimmerman, T.; Antipa, N.; Elnatan, D.; Murru, A.; Biswas, S.; Pastore, V.; Bonani, M.; Waller, L.; Fung, J.; Fenu, G.; Bianco, S.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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 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. | |
| Efficient Unsupervised Learning for Plankton Images | 1-gen-2022 | Alfano, PAOLO DIDIER; Rando, Marco; Letizia, Marco; Odone, Francesca; Rosasco, Lorenzo; Pastore, VITO PAOLO | |
| Establishing the baseline for using plankton as biosensor | 1-gen-2019 | Pastore, V. P.; Zimmerman, T.; Biswas, S. K.; Bianco, S. | |
| Food Image Classification: The Benefit of In-Domain Transfer Learning | 1-gen-2023 | Touijer, L.; Pastore, V. P.; Odone, F. | |
| Functional connectivity in cultured cortical networks during development: Comparison between correlation and information theory-based algorithms | 1-gen-2015 | Poli, Daniele; Pastore, VITO PAOLO; Massobrio, Paolo; Martinoia, Sergio | |
| GCK-Maps: A Scene Unbiased Representation for Efficient Human Action Recognition | 1-gen-2023 | Nicora, E.; Pastore, V. P.; Noceti, N. | |
| High throughput analysis of plankton morphology and dynamic | 1-gen-2019 | Biswas, S. K.; Zimmerman, T.; Maini, L.; Adebiyi, A.; Bozano, L.; Brown, C.; Pastore, V. P.; Bianco, S. | |
| In Domain Transfer Learning for Prostate MRI Segmentation | 1-gen-2024 | Touijer, L.; Santacesaria, M.; Odone, F.; Pastore, V. P. | |
| Incorporating Diagnostic Prior with Segmentation: A Deep Learning Pipeline for the Automatic Classification of Autoimmune Bullous Skin Diseases | 1-gen-2023 | Pastore, V. P.; Touijer, L.; Capurro, N.; Cozzani, E.; Gasparini, G.; Parodi, A.; Odone, F. | |
| Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images? | 1-gen-2024 | Di Via, R.; Santacesaria, M.; Odone, F.; Pastore, V. P. | |
| Partial correlation analysis for functional connectivity studies in cortical networks | 1-gen-2014 | Poli, Daniele; Pastore, VITO PAOLO; Martinoia, Sergio; Massobrio, Paolo | |
| Stereo in-line holographic digital microscope | 1-gen-2019 | Zimmerman, T.; Antipa, N.; Elnatan, D.; Murru, A.; Biswas, S.; Pastore, V.; Bonani, M.; Waller, L.; Fung, J.; Fenu, G.; Bianco, S. |