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2020 – today
- 2024
[j8]Angela Rosy Morgillo, Stefano Mangini
, Marco Piastra, Chiara Macchiavello:
Quantum state reconstruction in a noisy environment via deep learning. Quantum Mach. Intell. 6(2): 39 (2024)- 2023
- [c14]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: 144-155 - 2021
- [j7]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): 397-402 (2021) - [j6]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): 1276-1289 (2021) - [i7]Gianluca Gerard, Marco Piastra:
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images. CoRR abs/2105.14338 (2021) - 2020
- [j5]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): 35949-35971 (2020) - [j4]Mirto Musci, Giacomo Parigi, Virginio Cantoni, Marco Piastra:
A scalable multi-signal approach for the parallelization of self-organizing neural networks. Neural Networks 123: 108-117 (2020)
2010 – 2019
- 2019
- [j3]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) - [j2]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: 9135196:1-9135196:10 (2019) - [c13]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 - [c12]Gianluca Gerard, Marco Piastra:
Slide Screening of Metastases in Lymph Nodes via Conditional, Fully Convolutional Segmentation. ICIAP Workshops 2019: 220-227 - 2018
- [c11]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: 5969-5974 - [c10]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: 405-412 - [c9]Bianca Sangiovanni, Angelo Rendiniello, Gian Paolo Incremona, Antonella Ferrara, Marco Piastra:
Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators. ECC 2018: 2063-2068 - [i6]Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra:
Online Fall Detection using Recurrent Neural Networks. CoRR abs/1804.04976 (2018) - [i5]Luca Carcano, Emanuele Plebani, Danilo Pietro Pau, Marco Piastra:
Pre-trainable Reservoir Computing with Recursive Neural Gas. CoRR abs/1807.09510 (2018) - 2015
- [c8]Giacomo Parigi, Andrea Pedrini, Marco Piastra:
Some further evidence about magnification and shape in neural gas. IJCNN 2015: 1-8 - [i4]Giacomo Parigi, Angelo Stramieri, Danilo Pau, Marco Piastra:
A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks. CoRR abs/1503.08294 (2015) - [i3]Giacomo Parigi, Andrea Pedrini, Marco Piastra:
Some Further Evidence about Magnification and Shape in Neural Gas. CoRR abs/1503.08322 (2015) - 2014
- [i2]Giacomo Parigi, Marco Piastra:
Gradient of the Objective Function for an Anisotropic Centroidal Voronoi Tessellation (CVT) - A revised, detailed derivation. CoRR abs/1408.5622 (2014) - 2012
- [c7]Giacomo Parigi, Angelo Stramieri, Danilo Pau, Marco Piastra:
GPU-based Parallel Implementation of a Growing Self-organizing Network. ICINCO (1) 2012: 633-643 - [c6]Laura Brandolini, Marco Piastra:
Computing the Reeb Graph for Triangle Meshes with Active Contours. ICPRAM (2) 2012: 80-89 - [c5]Antonietta Pepe, Laura Brandolini, Marco Piastra, Juha Koikkalainen, Jarmo Hietala, Jussi Tohka:
Simplified Reeb Graph as Effective Shape Descriptor for the Striatum. MeshMed 2012: 134-146
2000 – 2009
- 2009
- [c4]Marco Piastra:
A growing self-organizing network for reconstructing curves and surfaces. IJCNN 2009: 2533-2540 - 2008
- [i1]Marco Piastra:
A Growing Self-Organizing Network for Reconstructing Curves and Surfaces. CoRR abs/0812.2969 (2008) - 2002
- [j1]Marco Piastra:
Fuzzy unification and first order probabilistic logic. Int. J. Intell. Syst. 17(9): 835-852 (2002)
1990 – 1999
- 1999
- [c3]Marco Piastra:
What's in a Fuzzy Set? AAAI/IAAI 1999: 200-207 - [c2]Alessandro Bollini, Marco Piastra:
Distributed and Persistent Evolutionary Algorithms: A Design Pattern. EuroGP 1999: 173-183 - 1991
- [c1]Marco Piastra, Roberto Bolognesi:
An Efficient Context-Free Parsing Algorithm with Semantic Actions. AI*IA 1991: 271-280
Coauthor Index
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