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Piastra Marco
Piastra Marco
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Title
Cited by
Cited by
Year
Self-configuring robot path planning with obstacle avoidance via deep reinforcement learning
B Sangiovanni, GP Incremona, M Piastra, A Ferrara
IEEE Control Systems Letters 5 (2), 397-402, 2020
882020
Deep reinforcement learning for collision avoidance of robotic manipulators
B Sangiovanni, A Rendiniello, GP Incremona, A Ferrara, M Piastra
2018 European Control Conference (ECC), 2063-2068, 2018
852018
Online fall detection using recurrent neural networks
M Musci, D De Martini, N Blago, T Facchinetti, M Piastra
arXiv preprint arXiv:1804.04976, 2018
752018
Online fall detection using recurrent neural networks on smart wearable devices
M Musci, D De Martini, N Blago, T Facchinetti, M Piastra
IEEE Transactions on Emerging Topics in Computing 9 (3), 1276-1289, 2020
712020
Embedded real-time fall detection with deep learning on wearable devices
E Torti, A Fontanella, M Musci, N Blago, D Pau, F Leporati, M Piastra
2018 21st euromicro conference on digital system design (DSD), 405-412, 2018
632018
Embedding recurrent neural networks in wearable systems for real-time fall detection
E Torti, A Fontanella, M Musci, N Blago, D Pau, F Leporati, M Piastra
Microprocessors and Microsystems 71, 102895, 2019
412019
Dialogue management in conversational agents through psychology of persuasion and machine learning
V Carfora, F Di Massimo, R Rastelli, P Catellani, M Piastra
Multimedia Tools and Applications 79 (47), 35949-35971, 2020
372020
Distributed and persistent evolutionary algorithms: a design pattern
A Bollini, M Piastra
Genetic Programming: Second European Workshop, EuroGP’99 Göteborg, Sweden …, 1999
261999
Self-organizing adaptive map: Autonomous learning of curves and surfaces from point samples
M Piastra
Neural Networks 41, 96-112, 2013
172013
Phase polarity in a ferrofluid monolayer of shifted-dipole spheres
M Piastra, EG Virga
Soft Matter 8 (42), 10969-10981, 2012
142012
Deep recurrent neural networks for edge monitoring of personal risk and warning situations
E Torti, M Musci, F Guareschi, F Leporati, M Piastra
Scientific Programming 2019, 1-10, 2019
132019
Framing and tailoring prefactual messages to reduce red meat consumption: Predicting effects through a psychology-based graphical causal model
P Catellani, V Carfora, M Piastra
Frontiers in Psychology 13, 825602, 2022
122022
Deep reinforcement learning based self-configuring integral sliding mode control scheme for robot manipulators
B Sangiovanni, GP Incremona, A Ferrara, M Piastra
2018 IEEE Conference on Decision and Control (CDC), 5969-5974, 2018
122018
A 3D packaging technology for acoustically optimized integration of 2D CMUT arrays and front end circuits
AS Savoia, B Mauti, G Caliano, G Matrone, M Piastra, R Bardelli, F Toia, ...
2017 IEEE International Ultrasonics Symposium (IUS), 1-4, 2017
122017
Octupolar approximation for the excluded volume of axially symmetric convex bodies
M Piastra, EG Virga
Physical Review E 88 (3), 032507, 2013
112013
Connecting social psychology and deep reinforcement learning: a probabilistic predictor on the intention to do home-based physical activity after message exposure
P Catellani, V Carfora, M Piastra
Frontiers in Psychology 12, 696770, 2021
102021
A scalable multi-signal approach for the parallelization of self-organizing neural networks
M Musci, G Parigi, V Cantoni, M Piastra
Neural Networks 123, 108-117, 2020
92020
Applying psychology of persuasion to conversational agents through reinforcement learning: an exploratory study.
F Di Massimo, V Carfora, P Catellani, M Piastra
CLiC-it, 2019
72019
Explicit excluded volume of cylindrically symmetric convex bodies
M Piastra, EG Virga
Physical Review E 91 (6), 062503, 2015
72015
A multi-signal variant for the gpu-based parallelization of growing self-organizing networks
G Parigi, A Stramieri, D Pau, M Piastra
Informatics in Control, Automation and Robotics: 9th International …, 2014
72014
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Articles 1–20