Pubblicazioni

Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks

2022 - Proceedings of the International Joint Conference on Neural Networks
Verdone, A.; Scardapane, S.; Panella, M.

Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction

2022 - Proceedings of the International Joint Conference on Neural Networks
Ceschini, A.; Rosato, A.; Panella, M.

Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing

2022 - Proceedings of the International Joint Conference on Neural Networks
Rosato, A.; Panella, M.; Osipov, E.; Kleyko, D.

PRaNA: PRNU-based Technique to Tell Real and Deepfake Videos Apart

2022 - Proceedings of the International Joint Conference on Neural Networks
Amerini, I.; Conti, M.; Giacomazzi, P.; Pajola, L.

Hypercomplex Image- to- Image Translation

2022 - Proceedings of the International Joint Conference on Neural Networks
Grassucci, Eleonora; Sigillo, Luigi; Uncini, Aurelio; Comminiello, Danilo

A blockwise embedding for multi-day-ahead prediction of energy time series by randomized deep neural networks

2021 - Proceedings of the International Joint Conference on Neural Networks
Di Luzio, F.; Rosato, A.; Succetti, F.; Panella, M.

Hyperdimensional computing for efficient distributed classification with randomized neural networks

2021 - Proceedings of the International Joint Conference on Neural Networks
Rosato, A.; Panella, M.; Kleyko, D.

Exploiting cliques for granular computing-based graph classification

2020 - Proceedings of the International Joint Conference on Neural Networks
Baldini, Luca; Martino, Alessio; Rizzi, Antonello

An ecology-based index for text embedding and classification

2020 - Proceedings of the International Joint Conference on Neural Networks
Martino, Alessio; De Santis, Enrico; Rizzi, Antonello

On the optimization of embedding spaces via information granulation for pattern recognition

2020 - Proceedings of the International Joint Conference on Neural Networks
Martino, Alessio; Frattale Mascioli, Fabio Massimo; Rizzi, Antonello

Facing Big Data by an agent-based multimodal evolutionary approach to classification

2020 - Proceedings of the International Joint Conference on Neural Networks
Giampieri, Mauro; Baldini, Luca; De Santis, Enrico; Rizzi, Antonello

ADMM consensus for deep LSTM networks

2020 - Proceedings of the International Joint Conference on Neural Networks
Rosato, A.; Succetti, F.; Barbirotta, M.; Panella, M.

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