Marco Piastra

According to our database, Marco Piastra authored at least 27 papers between 1991 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Quantum state reconstruction in a noisy environment via deep learning.

Angela Rosy Morgillo, Stefano Mangini, Marco Piastra, Chiara Macchiavello

Quantum Mach. Intell., December, 2024

2023

Many-to-Many Metrics: A New Approach to Evaluate the Performance of Structural Damage Detection Networks.

Piercarlo Dondi, Ilaria Senaldi, Luca Lombardi, Marco Piastra

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2021

Online Fall Detection Using Recurrent Neural Networks on Smart Wearable Devices.

Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra

IEEE Trans. Emerg. Top. Comput., 2021

Self-Configuring Robot Path Planning With Obstacle Avoidance via Deep Reinforcement Learning.

Bianca Sangiovanni, Gian Paolo Incremona, Marco Piastra, Antonella Ferrara

IEEE Control. Syst. Lett., 2021

Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images.

Gianluca Gerard, Marco Piastra

CoRR, 2021

2020

A scalable multi-signal approach for the parallelization of self-organizing neural networks.

Mirto Musci, Giacomo Parigi, Virginio Cantoni, Marco Piastra

Neural Networks, 2020

Dialogue management in conversational agents through psychology of persuasion and machine learning.

Valentina Carfora, Francesca Di Massimo, Rebecca Rastelli, Patrizia Catellani, Marco Piastra

Multim. Tools Appl., 2020

2019

Deep Recurrent Neural Networks for Edge Monitoring of Personal Risk and Warning Situations.

Emanuele Torti, Mirto Musci, Federico Guareschi, Francesco Leporati, Marco Piastra

Sci. Program., 2019

Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection.

Emanuele Torti, Alessandro Fontanella, Mirto Musci, Nicola Blago, Danilo Pau, Francesco Leporati, Marco Piastra

Microprocess. Microsystems, 2019

Slide Screening of Metastases in Lymph Nodes via Conditional, Fully Convolutional Segmentation.

Gianluca Gerard, Marco Piastra

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Applying Psychology of Persuasion to Conversational Agents through Reinforcement Learning: an Exploratory Study.

Francesca Di Massimo, Valentina Carfora, Patrizia Catellani, Marco Piastra

Proceedings of the Sixth Italian Conference on Computational Linguistics, 2019

2018

Pre-trainable Reservoir Computing with Recursive Neural Gas.

Luca Carcano, Emanuele Plebani, Danilo Pietro Pau, Marco Piastra

CoRR, 2018

Online Fall Detection using Recurrent Neural Networks.

Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra

CoRR, 2018

Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators.

Bianca Sangiovanni, Angelo Rendiniello, Gian Paolo Incremona, Antonella Ferrara, Marco Piastra

Proceedings of the 16th European Control Conference, 2018

Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices.

Emanuele Torti, Alessandro Fontanella, Mirto Musci, Nicola Blago, Danilo Pau, Francesco Leporati, Marco Piastra

Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

Deep Reinforcement Learning Based Self-Configuring Integral Sliding Mode Control Scheme for Robot Manipulators.

Bianca Sangiovanni, Gian Paolo Incremona, Antonella Ferrara, Marco Piastra

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2015

A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks.

Giacomo Parigi, Angelo Stramieri, Danilo Pau, Marco Piastra

CoRR, 2015

Some further evidence about magnification and shape in neural gas.

Giacomo Parigi, Andrea Pedrini, Marco Piastra

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Gradient of the Objective Function for an Anisotropic Centroidal Voronoi Tessellation (CVT) - A revised, detailed derivation.

Giacomo Parigi, Marco Piastra

CoRR, 2014

2012

Simplified Reeb Graph as Effective Shape Descriptor for the Striatum.

Antonietta Pepe, Laura Brandolini, Marco Piastra, Juha Koikkalainen, Jarmo Hietala, Jussi Tohka

Proceedings of the Mesh Processing in Medical Image Analysis 2012, 2012

Computing the Reeb Graph for Triangle Meshes with Active Contours.

Laura Brandolini, Marco Piastra

Proceedings of the ICPRAM 2012, 2012

GPU-based Parallel Implementation of a Growing Self-organizing Network.

Giacomo Parigi, Angelo Stramieri, Danilo Pau, Marco Piastra

Proceedings of the ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Rome, Italy, 28, 2012

2009

A growing self-organizing network for reconstructing curves and surfaces.

Marco Piastra

Proceedings of the International Joint Conference on Neural Networks, 2009

2002

Fuzzy unification and first order probabilistic logic.

Marco Piastra

Int. J. Intell. Syst., 2002

1999

Distributed and Persistent Evolutionary Algorithms: A Design Pattern.

Alessandro Bollini, Marco Piastra

Proceedings of the Genetic Programming, 1999

What's in a Fuzzy Set?

Marco Piastra

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1991

An Efficient Context-Free Parsing Algorithm with Semantic Actions.

Marco Piastra, Roberto Bolognesi

Proceedings of the Trends in Artificial Intelligence, 1991