Antonio Carta
Antonio Carta
Phd student @ Università di Pisa
Email verificata su di.unipi.it - Home page
Titolo
Citata da
Citata da
Anno
An experience in using machine learning for short-term predictions in smart transportation systems
D Bacciu, A Carta, S Gnesi, L Semini
Journal of Logical and Algebraic Methods in Programming 87, 52-66, 2017
152017
Linear memory networks
D Bacciu, A Carta, A Sperduti
International Conference on Artificial Neural Networks, 513-525, 2019
72019
FA3L at SemEval-2017 task 3: A three embeddings recurrent neural network for question answering
G Attardi, A Carta, F Errica, A Madotto, L Pannitto
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
32017
Convolutional Neural Network for Track Seed Filtering at the CMS High-Level Trigger
A Di Florio, F Pantaleo, A Carta, CMS collaboration
Journal of Physics: Conference Series 1085 (4), 042040, 2018
22018
Continual Learning with Gated Incremental Memories for sequential data processing
A Cossu, A Carta, D Bacciu
arXiv preprint arXiv:2004.04077, 2020
12020
Encoding-based Memory Modules for Recurrent Neural Networks
A Carta, A Sperduti, D Bacciu
arXiv preprint arXiv:2001.11771, 2020
12020
Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders
A Valenti, A Carta, D Bacciu
arXiv preprint arXiv:2001.05494, 2020
12020
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory
A Carta, A Sperduti, D Bacciu
arXiv preprint arXiv:2006.16800, 2020
2020
Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders
A Valenti, A Carta, D Bacciu
arXiv, arXiv: 2001.05494, 2020
2020
Sequential Sentence Embeddings for Semantic Similarity
A Carta, D Bacciu
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1354-1361, 2019
2019
Autoencoder-based Initialization for Recurrent Neural Networks with a Linear Memory
A Carta, A Sperduti, D Bacciu
2019
Explicit Memorization for Recurrent Neural Networks with Autoencoders.
A Carta
DDC@ AI* IA, 95-100, 2019
2019
Deep learning models for track reconstruction in particle physics
A CARTA
2017
Adopting a Machine Learning Approach in the Design of Smart Transportation Systems
D Bacciu, A Carta, S Gnesi, L Semini
2016
Journal of Logical and Algebraic Methods in Programming
D Bacciu, A Carta, S Gnesi, L Semini
2016
Memory Capacity of Recurrent Neural Networks
A Carta
Convolutional Neural Network for Track Seed Filtering at the CMS High-Level Trigger
F Pantaleo, A Di Florio, A Carta, M Pierini
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–17