Marco Piastra

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Conversational Agents

Top Venues

IEEE Control. Syst. Lett.

Multim. Tools Appl.

Publications

Angela Rosy Morgillo, Stefano Mangini, Marco Piastra, Chiara Macchiavello
Quantum state reconstruction in a noisy environment via deep learning. Quantum Mach. Intell. 6 (2) (2024)
Piercarlo Dondi, Ilaria Senaldi, Luca Lombardi, Marco Piastra
Many-to-Many Metrics: A New Approach to Evaluate the Performance of Structural Damage Detection Networks. ICIAP (2) (2023)
Gianluca Gerard, Marco Piastra
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images. CoRR (2021)
Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra
Online Fall Detection Using Recurrent Neural Networks on Smart Wearable Devices. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Bianca Sangiovanni, Gian Paolo Incremona, Marco Piastra, Antonella Ferrara
Self-Configuring Robot Path Planning With Obstacle Avoidance via Deep Reinforcement Learning. IEEE Control. Syst. Lett. 5 (2) (2021)
Mirto Musci, Giacomo Parigi, Virginio Cantoni, Marco Piastra
A scalable multi-signal approach for the parallelization of self-organizing neural networks. Neural Networks 123 (2020)
Valentina Carfora, Francesca Di Massimo, Rebecca Rastelli, Patrizia Catellani, Marco Piastra
Dialogue management in conversational agents through psychology of persuasion and machine learning. Multim. Tools Appl. 79 (47) (2020)
Emanuele Torti, Alessandro Fontanella, Mirto Musci, Nicola Blago, Danilo Pau, Francesco Leporati, Marco Piastra
Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection. Microprocess. Microsystems 71 (2019)
Emanuele Torti, Mirto Musci, Federico Guareschi, Francesco Leporati, Marco Piastra
Deep Recurrent Neural Networks for Edge Monitoring of Personal Risk and Warning Situations. Sci. Program. 2019 (2019)
Francesca Di Massimo, Valentina Carfora, Patrizia Catellani, Marco Piastra
Applying Psychology of Persuasion to Conversational Agents through Reinforcement Learning: an Exploratory Study. CLiC-it (2019)
Gianluca Gerard, Marco Piastra
Slide Screening of Metastases in Lymph Nodes via Conditional, Fully Convolutional Segmentation. ICIAP Workshops (2019)
Emanuele Torti, Alessandro Fontanella, Mirto Musci, Nicola Blago, Danilo Pau, Francesco Leporati, Marco Piastra
Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices. DSD (2018)
Bianca Sangiovanni, Gian Paolo Incremona, Antonella Ferrara, Marco Piastra
Deep Reinforcement Learning Based Self-Configuring Integral Sliding Mode Control Scheme for Robot Manipulators. CDC (2018)
Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra
Online Fall Detection using Recurrent Neural Networks. CoRR (2018)
Bianca Sangiovanni, Angelo Rendiniello, Gian Paolo Incremona, Antonella Ferrara, Marco Piastra
Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators. ECC (2018)
Luca Carcano, Emanuele Plebani, Danilo Pietro Pau, Marco Piastra
Pre-trainable Reservoir Computing with Recursive Neural Gas. CoRR (2018)
Giacomo Parigi, Andrea Pedrini, Marco Piastra
Some Further Evidence about Magnification and Shape in Neural Gas. CoRR (2015)
Giacomo Parigi, Andrea Pedrini, Marco Piastra
Some further evidence about magnification and shape in neural gas. IJCNN (2015)
Giacomo Parigi, Angelo Stramieri, Danilo Pau, Marco Piastra
A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks. CoRR (2015)
Giacomo Parigi, Marco Piastra
Gradient of the Objective Function for an Anisotropic Centroidal Voronoi Tessellation (CVT) - A revised, detailed derivation. CoRR (2014)
Antonietta Pepe, Laura Brandolini, Marco Piastra, Juha Koikkalainen, Jarmo Hietala, Jussi Tohka
Simplified Reeb Graph as Effective Shape Descriptor for the Striatum. MeshMed (2012)
Giacomo Parigi, Angelo Stramieri, Danilo Pau, Marco Piastra
GPU-based Parallel Implementation of a Growing Self-organizing Network. ICINCO (1) (2012)
Laura Brandolini, Marco Piastra
Computing the Reeb Graph for Triangle Meshes with Active Contours. ICPRAM (2) (2012)
Marco Piastra
A growing self-organizing network for reconstructing curves and surfaces. IJCNN (2009)
Marco Piastra
A Growing Self-Organizing Network for Reconstructing Curves and Surfaces CoRR (2008)
Marco Piastra
Fuzzy unification and first order probabilistic logic. Int. J. Intell. Syst. 17 (9) (2002)
Alessandro Bollini, Marco Piastra
Distributed and Persistent Evolutionary Algorithms: A Design Pattern. EuroGP (1999)
Marco Piastra
What's in a Fuzzy Set? AAAI/IAAI (1999)
Marco Piastra, Roberto Bolognesi
An Efficient Context-Free Parsing Algorithm with Semantic Actions. AI*IA (1991)