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Is Class-Incremental Enough for Continual Learning?
Cossu A, Graffieti G, Pellegrini L, Maltoni D, Bacciu D, Carta A, Lomonaco V. Cossu A, et al. Among authors: bacciu d. Front Artif Intell. 2022 Mar 24;5:829842. doi: 10.3389/frai.2022.829842. eCollection 2022. Front Artif Intell. 2022. PMID: 35402898 Free PMC article.
Explaining Deep Graph Networks via Input Perturbation.
Bacciu D, Numeroso D. Bacciu D, et al. IEEE Trans Neural Netw Learn Syst. 2023 Dec;34(12):10334-10345. doi: 10.1109/TNNLS.2022.3165618. Epub 2023 Nov 30. IEEE Trans Neural Netw Learn Syst. 2023. PMID: 35446771
The CLAIRE COVID-19 initiative: approach, experiences and recommendations.
Bontempi G, Chavarriaga R, eD Canck H, Girardi E, Hoos H, Kilbane-Dawe I, Ball T, Nowé A, Sousa J, Bacciu D, Aldinucci M, eD Domenico M, Saffiotti A, Maratea M. Bontempi G, et al. Among authors: bacciu d. Ethics Inf Technol. 2021;23(Suppl 1):127-133. doi: 10.1007/s10676-020-09567-7. Epub 2021 Feb 9. Ethics Inf Technol. 2021. PMID: 33584129 Free PMC article.
Deep Learning for Dynamic Graphs: Models and Benchmarks.
Gravina A, Bacciu D. Gravina A, et al. Among authors: bacciu d. IEEE Trans Neural Netw Learn Syst. 2024 Apr 3;PP. doi: 10.1109/TNNLS.2024.3379735. Online ahead of print. IEEE Trans Neural Netw Learn Syst. 2024. PMID: 38568760
A gentle introduction to deep learning for graphs.
Bacciu D, Errica F, Micheli A, Podda M. Bacciu D, et al. Neural Netw. 2020 Sep;129:203-221. doi: 10.1016/j.neunet.2020.06.006. Epub 2020 Jun 11. Neural Netw. 2020. PMID: 32559609
Augmenting Recurrent Neural Networks Resilience by Dropout.
Bacciu D, Crecchi F. Bacciu D, et al. IEEE Trans Neural Netw Learn Syst. 2020 Jan;31(1):345-351. doi: 10.1109/TNNLS.2019.2899744. Epub 2019 Mar 18. IEEE Trans Neural Netw Learn Syst. 2020. PMID: 30892245
21 results