Publications

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2021

Lanciano, Giacomo; Galli, Filippo; Cucinotta, Tommaso; Bacciu, Davide; Passarella, Andrea

Predictive Auto-scaling with OpenStack Monasca Conference Forthcoming

Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2021), Forthcoming.

BibTeX | Tags: cloud computing, pervasive computing, recurrent neural network, Sequential data

Cossu, Andrea; Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Lomonaco, Vincenzo

Continual Learning with Echo State Networks Conference Forthcoming

Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021) , Forthcoming.

BibTeX | Tags: Continual learning, Echo state networks, recurrent neural network, Sequential data

Resta, Michele; Monreale, Anna; Bacciu, Davide

Occlusion-based Explanations in Deep Recurrent Models for Biomedical Signals Journal Article Forthcoming

Entropy, Forthcoming, (Special issue on Representation Learning).

Abstract | BibTeX | Tags: biomedical data, explainable AI, recurrent neural network, Sequential data

Cossu, Andrea; Carta, Antonio; Lomonaco, Vincenzo; Bacciu, Davide

Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Journal Article Forthcoming

Neural Networks, Forthcoming.

Abstract | Links | BibTeX | Tags: Continual learning, deep learning, recurrent neural network, Sequential data

Bacciu, Davide; Sarli, Daniele Di; Faraji, Pouria; Gallicchio, Claudio; Micheli, Alessio

Federated Reservoir Computing Neural Networks Conference Forthcoming

Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), IEEE, Forthcoming.

BibTeX | Tags: activity recognition, distributed learning, Echo state networks, federated learning, internet of things, pervasive computing, randomized networks, reservoir computing, Sequential data

Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide

Encoding-based Memory for Recurrent Neural Networks Journal Article

Neurocomputing, 2021.

Abstract | Links | BibTeX | Tags: autoencoder, deep learning, memory networks, recurrent neural network, Sequential data

Andrea Valenti Michele Barsotti, Davide Bacciu ; Ascari, Luca

A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting Journal Article

Bioengineering , 2021.

Links | BibTeX | Tags: autoencoder, biomedical data, deep learning, Sequential data

2020

Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide

Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization Workshop

34th Conference on Neural Information Processing Systems (NeurIPS 2020), Workshop on Beyond BackPropagation: Novel Ideas for Training Neural Architectures, 2020.

Abstract | Links | BibTeX | Tags: deep learning, memory networks, recurrent neural network, Sequential data

Valenti, Andrea; Barsotti, Michele; Brondi, Raffaello; Bacciu, Davide; Ascari, Luca

ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs Conference

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2020.

Abstract | Links | BibTeX | Tags: autoencoder, biomedical data, deep learning, Sequential data

Cossu, Andrea; Carta, Antonio; Bacciu, Davide

Continual Learning with Gated Incremental Memories for Sequential Data Processing Conference

Proceedings of the 2020 IEEE World Congress on Computational Intelligence, 2020.

Links | BibTeX | Tags: Continual learning, deep learning, recurrent neural network, Sequential data