Antonello Rosato

IET Quantum Commun., December, 2023

An adaptive embedding procedure for time series forecasting with deep neural networks.

[BibT_eX]

[DOI]

Federico Succetti

Neural Networks, October, 2023

Multi-Damage Detection in Composite Space Structures via Deep Learning.

[BibT_eX]

[DOI]

Sensors, September, 2023

A randomized deep neural network for emotion recognition with landmarks detection.

[BibT_eX]

[DOI]

Francesco Di Luzio

Francesco Giacinto Lavacca

Biomed. Signal Process. Control., March, 2023

A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning.

[BibT_eX]

[DOI]

Sensors, 2023

A Deep Neural Network for G-Quadruplexes Binding Proteins Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2023

Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2023

Neural Graphs: an Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks.

[BibT_eX]

[DOI]

Vincenzo Eramo

Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023

2022

Design of an LSTM Cell on a Quantum Hardware.

[BibT_eX]

[DOI]

Andrea Ceschini

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures.

[BibT_eX]

[DOI]

Comput. Networks, 2022

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

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction.

[BibT_eX]

[DOI]

Andrea Ceschini

Proceedings of the International Joint Conference on Neural Networks, 2022

Analysis of Logic Schemes for the Optical Implementation of Pointwise Operations in Gated Recurrent Unit Cells.

[BibT_eX]

[DOI]

Proceedings of the Sensors and Microsystems, 2022

Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks.

[BibT_eX]

[DOI]

Federico Succetti

AII, 2022

2021

A Parallel Hardware Implementation for 2-D Hierarchical Clustering Based on Fuzzy Logic.

[BibT_eX]

[DOI]

Gian Carlo Cardarilli

IEEE Trans. Circuits Syst. II Express Briefs, 2021

A decentralized algorithm for distributed ensemble clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Time Series Prediction with Autoencoding LSTM Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2021

On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2021

Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks.

[BibT_eX]

[DOI]

Denis Kleyko

Proceedings of the International Joint Conference on Neural Networks, 2021

A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Perceptron Theory for Predicting the Accuracy of Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series.

[BibT_eX]

[DOI]

IEEE Access, 2020

ADMM Consensus for Deep LSTM Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Time Series Prediction Using Random Weights Fuzzy Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding.

[BibT_eX]

[DOI]

Rodolfo Araneo

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

A Training Procedure for Quantum Random Vector Functional-link Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

On-line Learning of RVFL Neural Networks on Finite Precision Hardware.

[BibT_eX]

[DOI]

Hieda Adriana Nascimento Silva

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Sparse Bayesian Model for Random Weight Fuzzy Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Finite precision implementation of random vector functional-link networks.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

A new learning approach for Takagi-Sugeno fuzzy systems applied to time series prediction.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A nonuniform quantizer for hardware implementation of neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017

2016

Recent Advances on Distributed Unsupervised Learning.

[BibT_eX]

[DOI]