Antonio Carta
Antonio Carta
Phd student @ Università di Pisa
Email verificata su - Home page
Citata da
Citata da
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
Linear memory networks
D Bacciu, A Carta, A Sperduti
International Conference on Artificial Neural Networks, 513-525, 2019
Continual Learning with Gated Incremental Memories for sequential data processing
A Cossu, A Carta, D Bacciu
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Avalanche: an End-to-End Library for Continual Learning
V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
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
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
Learning a latent space of style-aware symbolic music representations by adversarial autoencoders
A Valenti, A Carta, D Bacciu
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
TEACHING-Trustworthy autonomous cyber-physical applications through human-centred intelligence
D Bacciu, S Akarmazyan, E Armengaud, M Bacco, G Bravos, C Calandra, ...
2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS …, 2021
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
A Cossu, A Carta, V Lomonaco, D Bacciu
arXiv preprint arXiv:2103.07492, 2021
Encoding-based memory modules for recurrent neural networks
A Carta, A Sperduti, D Bacciu
arXiv preprint arXiv:2001.11771, 2020
Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders
A Valenti, A Carta, D Bacciu
arXiv preprint arXiv:2001.05494, 2020
Continual Learning with Echo State Networks
A Cossu, D Bacciu, A Carta, C Gallicchio, V Lomonaco
arXiv preprint arXiv:2105.07674, 2021
Continual learning for recurrent neural networks: a review and empirical evaluation
A Cossu, A Carta, V Lomonaco, D Bacciu
arXiv e-prints, arXiv: 2103.07492, 2021
Encoding-based memory for recurrent neural networks
A Carta, A Sperduti, D Bacciu
Neurocomputing 456, 407-420, 2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples
A Rosasco, A Carta, A Cossu, V Lomonaco, D Bacciu
arXiv preprint arXiv:2103.15851, 2021
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification
A Carta, A Cossu, F Errica, D Bacciu
arXiv preprint arXiv:2103.11750, 2021
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization
A Carta, A Sperduti, D Bacciu
arXiv preprint arXiv:2011.02886, 2020
Sequential Sentence Embeddings for Semantic Similarity
A Carta, D Bacciu
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1354-1361, 2019
Autoencoder-based Initialization for Recurrent Neural Networks with a Linear Memory
A Carta, A Sperduti, D Bacciu
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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