| 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 | 20 | 2017 |
| Linear memory networks D Bacciu, A Carta, A Sperduti International Conference on Artificial Neural Networks, 513-525, 2019 | 8 | 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 | 7 | 2020 |
| 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 | 3 | 2018 |
| 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 | 3 | 2017 |
| Encoding-based memory modules for recurrent neural networks A Carta, A Sperduti, D Bacciu arXiv preprint arXiv:2001.11771, 2020 | 2 | 2020 |
| Continual Learning for Recurrent Neural Networks: a Review and Empirical Evaluation A Cossu, A Carta, V Lomonaco, D Bacciu arXiv preprint arXiv:2103.07492, 2021 | 1 | 2021 |
| 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 | 1 | 2020 |
| Avalanche: an End-to-End Library for Continual Learning V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ... arXiv preprint arXiv:2104.00405, 2021 | | 2021 |
| Distilled Replay: Overcoming Forgetting through Synthetic Samples A Rosasco, A Carta, A Cossu, V Lomonaco, D Bacciu arXiv preprint arXiv:2103.15851, 2021 | | 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 | | 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 | | 2020 |
| Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders A Valenti, A Carta, D Bacciu arXiv preprint 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 | | |
