An Efficient Context-Free Parsing Algorithm with Semantic Actions. - Marco Piastra; Roberto Bolognesi (AI*IA, 1991)

What's in a Fuzzy Set? - Marco Piastra (AAAI/IAAI, 1999)

Distributed and Persistent Evolutionary Algorithms: A Design Pattern. - Alessandro Bollini; Marco Piastra (EuroGP, 1999)

Fuzzy unification and first order probabilistic logic. - Marco Piastra (Int. J. Intell. Syst., 2002)

A growing self-organizing network for reconstructing curves and surfaces. - Marco Piastra (IJCNN, 2009)

GPU-based Parallel Implementation of a Growing Self-organizing Network. - Giacomo Parigi; Angelo Stramieri; Danilo Pau; Marco Piastra (ICINCO (1), 2012)

Computing the Reeb Graph for Triangle Meshes with Active Contours. - Laura Brandolini; Marco Piastra (ICPRAM (2), 2012)

Simplified Reeb Graph as Effective Shape Descriptor for the Striatum. - Antonietta Pepe; Laura Brandolini; Marco Piastra; Juha Koikkalainen; Jarmo Hietala; Jussi Tohka (MeshMed, 2012)

Gradient of the Objective Function for an Anisotropic Centroidal Voronoi Tessellation (CVT) - A revised, detailed derivation. - Giacomo Parigi; Marco Piastra (CoRR, 2014)

Some further evidence about magnification and shape in neural gas. - Giacomo Parigi; Andrea Pedrini; Marco Piastra (IJCNN, 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)

Deep Reinforcement Learning Based Self-Configuring Integral Sliding Mode Control Scheme for Robot Manipulators. - Bianca Sangiovanni; Gian Paolo Incremona; Antonella Ferrara; Marco Piastra (CDC, 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 (DSD, 2018)

Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators. - Bianca Sangiovanni; Angelo Rendiniello; Gian Paolo Incremona; Antonella Ferrara; Marco Piastra (ECC, 2018)

Online Fall Detection using Recurrent Neural Networks. - Mirto Musci; Daniele De Martini; Nicola Blago; Tullio Facchinetti; Marco Piastra (CoRR, 2018)

Pre-trainable Reservoir Computing with Recursive Neural Gas. - Luca Carcano; Emanuele Plebani; Danilo Pietro Pau; Marco Piastra (CoRR, 2018)

Applying Psychology of Persuasion to Conversational Agents through Reinforcement Learning: an Exploratory Study. - Francesca Di Massimo; Valentina Carfora; Patrizia Catellani; Marco Piastra (CLiC-it, 2019)

Slide Screening of Metastases in Lymph Nodes via Conditional, Fully Convolutional Segmentation. - Gianluca Gerard; Marco Piastra (ICIAP Workshops, 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)

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)

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)

A scalable multi-signal approach for the parallelization of self-organizing neural networks. - Mirto Musci; Giacomo Parigi; Virginio Cantoni; Marco Piastra (Neural Networks, 2020)

Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images. - Gianluca Gerard; Marco Piastra (CoRR, 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)

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)

Many-to-Many Metrics: A New Approach to Evaluate the Performance of Structural Damage Detection Networks. - Piercarlo Dondi; Ilaria Senaldi; Luca Lombardi; Marco Piastra (ICIAP (2), 2023)

Improving Post-Earthquake Crack Detection Using Semi-Synthetic Generated Images. - Piercarlo Dondi; Alessio Gullotti; Michele Inchingolo; Ilaria Senaldi; Chiara Casarotti; Luca Lombardi; Marco Piastra (ECCV Workshops (20), 2024)

Quantum state reconstruction in a noisy environment via deep learning. - Angela Rosy Morgillo; Stefano Mangini; Marco Piastra; Chiara Macchiavello (Quantum Mach. Intell., 2024)

Deep Learning Driven Classification of Echocardiographic Apical Views: An Approach Based on Variational Autoencoders and Multilayer Perceptrons. - Francesco Podda; Edoardo Spairani; Edoardo Bosco; Michela Ferrari; Marco Piastra; Giulia Matrone; Giovanni Magenes (AIME (1), 2025)

A Variational Autoencoder Based Framework for Classifying Apical 2-Chamber and 4-Chamber Views. - Edoardo Spairani; Francesco Podda; Edoardo Bosco; Michela Ferrari; Marco Piastra; Giulia Matrone; Giovanni Magenes (MeMeA, 2025)

Automated Septum Detection in Echocardiographic Images Using Hough Transform. - Edoardo Spairani; Francesco Podda; Edoardo Bosco; Michela Ferrari; Marco Piastra; Giulia Matrone; Giovanni Magenes (MeMeA, 2025)

Post-earthquake structural damage detection with tunable semi-synthetic image generation. - Piercarlo Dondi; Alessio Gullotti; Michele Inchingolo; Ilaria Senaldi; Chiara Casarotti; Luca Lombardi; Marco Piastra (Eng. Appl. Artif. Intell., 2025)

On the emergent capabilities of ChatGPT 4 to estimate personality traits. - Marco Piastra; Patrizia Catellani (Frontiers Artif. Intell., 2025)