PIASTRA, MARCO
PIASTRA, MARCO
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE
A 3D packaging technology for acoustically optimized integration of 2D CMUT arrays and front end circuits
2017-01-01 Savoia, Alessandro Stuart; Mauti, Barbara; Caliano, Giosuè; Matrone, Giulia; Piastra, Marco; Bardelli, Roberto; Toia, Fabrizio; Quaglia, Fabio; Ramalli, Alessandro
A growing self-organizing network for reconstructing curves and surfaces
2009-01-01 Piastra, Marco
A Multi-Signal Variant for the GPU-Based Parallelization of Growing Self-Organizing Networks
2014-01-01 Parigi, Giacomo; A., Stramieri; D., Pau; Piastra, Marco
A new parsing technique for building CALL applications on small computers
1991-01-01 A., Baldry; Piastra, Marco; R., Bolognesi
A scalable multi-signal approach for the parallelization of self-organizing neural networks
2020-01-01 Musci, Mirto; Parigi, Giacomo; Cantoni, Virginio; Piastra, Marco
An efficient context-free parsing algorithm with semantic actions
1991-01-01 Piastra, Marco; R., Bolognesi
An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging
2017-01-01 Matrone, Giulia; Ramalli, A.; Savoia, A. S.; Quaglia, F.; Castellazzi, Gloria; Morbini, Patrizia; Piastra, Marco
Computing the reeb graph for triangle mesheswith active contours
2012-01-01 Brandolini, LAURA CAROLINA; Piastra, Marco
Deep Learning Driven Classification of Echocardiographic Apical Views: An Approach Based on Variational Autoencoders and Multilayer Perceptrons
2025-01-01 Podda, Francesco; Spairani, Edoardo; Bosco, Edoardo; Ferrari, Michela; Piastra, Marco; Matrone, Giulia; Magenes, Giovanni
Deep Recurrent Neural Networks for Edge Monitoring of Personal Risk and Warning Situations
2019-01-01 Torti, Emanuele; Musci, Mirto; Guareschi, Federico; Leporati, Francesco; Piastra, Marco
Deep Reinforcement Learning Based Self-Configuring Integral Sliding Mode Control Scheme for Robot Manipulators
2018-01-01 Sangiovanni, Bianca; Incremona, Gian Paolo; Ferrara, Antonella; Piastra, Marco
Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators
2018-01-01 Sangiovanni, Bianca; Rendiniello, Angelo; Incremona, Gian Paolo; Ferrara, Antonella; Piastra, Marco
Distributed and Persistent Evolutionary Algorithms: A Design Pattern
1999-01-01 A., Bollini; Piastra, Marco
Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices
2018-01-01 Torti, Emanuele; Fontanella, Alessandro; Musci, Mirto; Blago, Nicola; Danilo, Pau; Leporati, Francesco; Piastra, Marco
Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection
2019-01-01 Torti, Emanuele; Fontanella, Alessandro; Musci, Mirto; Blago, Nicola; Pau, Danilo; Leporati, Francesco; Piastra, Marco
Explicit excluded volume of cylindrically symmetric convex bodies
2015-01-01 Piastra, Marco; Virga, EPIFANIO GUIDO GIOVANNI
Fuzzy unification and first order probabilistic logic
2002-01-01 Piastra, Marco
GPU-based parallel implementation of a growing self-organizing network
2012-01-01 Parigi, Giacomo; A., Stramieri; D., Pau; Piastra, Marco
Improving Post-Earthquake Crack Detection Using Semi-Synthetic Generated Images
2025-01-01 Dondi, Piercarlo; Gullotti, Alessio; Inchingolo, Michele; Senaldi, Ilaria; Casarotti, Chiara; Lombardi, Luca; Piastra, Marco
Many-to-Many Metrics: A New Approach to Evaluate the Performance of Structural Damage Detection Networks
2023-01-01 Dondi, Piercarlo; Senaldi, Ilaria; Lombardi, Luca; Piastra, Marco
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A 3D packaging technology for acoustically optimized integration of 2D CMUT arrays and front end circuits | 1-gen-2017 | Savoia, Alessandro Stuart; Mauti, Barbara; Caliano, Giosuè; Matrone, Giulia; Piastra, Marco; Bardelli, Roberto; Toia, Fabrizio; Quaglia, Fabio; Ramalli, Alessandro | |
| A growing self-organizing network for reconstructing curves and surfaces | 1-gen-2009 | Piastra, Marco | |
| A Multi-Signal Variant for the GPU-Based Parallelization of Growing Self-Organizing Networks | 1-gen-2014 | Parigi, Giacomo; A., Stramieri; D., Pau; Piastra, Marco | |
| A new parsing technique for building CALL applications on small computers | 1-gen-1991 | A., Baldry; Piastra, Marco; R., Bolognesi | |
| A scalable multi-signal approach for the parallelization of self-organizing neural networks | 1-gen-2020 | Musci, Mirto; Parigi, Giacomo; Cantoni, Virginio; Piastra, Marco | |
| An efficient context-free parsing algorithm with semantic actions | 1-gen-1991 | Piastra, Marco; R., Bolognesi | |
| An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging | 1-gen-2017 | Matrone, Giulia; Ramalli, A.; Savoia, A. S.; Quaglia, F.; Castellazzi, Gloria; Morbini, Patrizia; Piastra, Marco | |
| Computing the reeb graph for triangle mesheswith active contours | 1-gen-2012 | Brandolini, LAURA CAROLINA; Piastra, Marco | |
| Deep Learning Driven Classification of Echocardiographic Apical Views: An Approach Based on Variational Autoencoders and Multilayer Perceptrons | 1-gen-2025 | Podda, Francesco; Spairani, Edoardo; Bosco, Edoardo; Ferrari, Michela; Piastra, Marco; Matrone, Giulia; Magenes, Giovanni | |
| Deep Recurrent Neural Networks for Edge Monitoring of Personal Risk and Warning Situations | 1-gen-2019 | Torti, Emanuele; Musci, Mirto; Guareschi, Federico; Leporati, Francesco; Piastra, Marco | |
| Deep Reinforcement Learning Based Self-Configuring Integral Sliding Mode Control Scheme for Robot Manipulators | 1-gen-2018 | Sangiovanni, Bianca; Incremona, Gian Paolo; Ferrara, Antonella; Piastra, Marco | |
| Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators | 1-gen-2018 | Sangiovanni, Bianca; Rendiniello, Angelo; Incremona, Gian Paolo; Ferrara, Antonella; Piastra, Marco | |
| Distributed and Persistent Evolutionary Algorithms: A Design Pattern | 1-gen-1999 | A., Bollini; Piastra, Marco | |
| Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices | 1-gen-2018 | Torti, Emanuele; Fontanella, Alessandro; Musci, Mirto; Blago, Nicola; Danilo, Pau; Leporati, Francesco; Piastra, Marco | |
| Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection | 1-gen-2019 | Torti, Emanuele; Fontanella, Alessandro; Musci, Mirto; Blago, Nicola; Pau, Danilo; Leporati, Francesco; Piastra, Marco | |
| Explicit excluded volume of cylindrically symmetric convex bodies | 1-gen-2015 | Piastra, Marco; Virga, EPIFANIO GUIDO GIOVANNI | |
| Fuzzy unification and first order probabilistic logic | 1-gen-2002 | Piastra, Marco | |
| GPU-based parallel implementation of a growing self-organizing network | 1-gen-2012 | Parigi, Giacomo; A., Stramieri; D., Pau; Piastra, Marco | |
| Improving Post-Earthquake Crack Detection Using Semi-Synthetic Generated Images | 1-gen-2025 | Dondi, Piercarlo; Gullotti, Alessio; Inchingolo, Michele; Senaldi, Ilaria; Casarotti, Chiara; Lombardi, Luca; Piastra, Marco | |
| Many-to-Many Metrics: A New Approach to Evaluate the Performance of Structural Damage Detection Networks | 1-gen-2023 | Dondi, Piercarlo; Senaldi, Ilaria; Lombardi, Luca; Piastra, Marco |