Antonello Rosato

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 39

Top Topics

Hardware Implementation

Top Venues

Publications

Federica Colonnese, Francesco Di Luzio, Antonello Rosato, Massimo Panella
Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection. Int. J. Neural Syst. 34 (2) (2024)
Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer
Perceptron Theory Can Predict the Accuracy of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Federica Angeletti, Federico Succetti, Massimo Panella, Antonello Rosato
A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications. CEC (2024)
Francesco Di Luzio, Antonello Rosato, Massimo Panella
An Explainable Fast Deep Neural Network for Emotion Recognition. CoRR (2024)
Francesco Di Luzio, Alessandro Paiardini, Federica Colonnese, Antonello Rosato, Massimo Panella
A Deep Neural Network for G-Quadruplexes Binding Proteins Classification. IWANN (1) (2023)
Federica Angeletti, Paolo Gasbarri, Massimo Panella, Antonello Rosato
Multi-Damage Detection in Composite Space Structures via Deep Learning. Sensors 23 (17) (2023)
Federico Succetti, Antonello Rosato, Massimo Panella
An adaptive embedding procedure for time series forecasting with deep neural networks. Neural Networks 167 (2023)
Vincenzo Eramo, Francesco Giacinto Lavacca, Francesco Valente, V. Filippetti, Antonello Rosato, Alessio Verdone, Massimo Panella
Neural Graphs: an Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks. ICTON (2023)
Francesco Di Luzio, Antonello Rosato, Massimo Panella
A randomized deep neural network for emotion recognition with landmarks detection. Biomed. Signal Process. Control. 81 (2023)
Federica Angeletti, Paolo Iannelli, Paolo Gasbarri, Massimo Panella, Antonello Rosato
A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning. Sensors 23 (1) (2023)
Andrea Ceschini, Antonello Rosato, Massimo Panella
Modular quantum circuits for secure communication. IET Quantum Commun. 4 (4) (2023)
Federica Colonnese, Francecso Di Luzio, Antonello Rosato, Massimo Panella
Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection. IWANN (2) (2023)
Andrea Ceschini, Antonello Rosato, Massimo Panella
Design of an LSTM Cell on a Quantum Hardware. IEEE Trans. Circuits Syst. II Express Briefs 69 (3) (2022)
Federico Succetti, Antonello Rosato, Massimo Panella
Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks. AII (2022)
Tiziana Catena, Vincenzo Eramo, Massimo Panella, Antonello Rosato
Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures. Comput. Networks 213 (2022)
Andrea Ceschini, Antonello Rosato, Massimo Panella
Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction. IJCNN (2022)
Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko
Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing. IJCNN (2022)
Badrul Alam, Andrea Ceschini, Antonello Rosato, Massimo Panella, Rita Asquini
Analysis of Logic Schemes for the Optical Implementation of Pointwise Operations in Gated Recurrent Unit Cells. AISEM (2022)
Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Massimo Panella, Marco Re, Antonello Rosato, Sergio Spanò
A Parallel Hardware Implementation for 2-D Hierarchical Clustering Based on Fuzzy Logic. IEEE Trans. Circuits Syst. II Express Briefs 68 (4) (2021)
Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. IWANN (2) (2021)
Federico Succetti, Andrea Ceschini, Francesco Di Luzio, Antonello Rosato, Massimo Panella
Time Series Prediction with Autoencoding LSTM Networks. IWANN (2) (2021)
Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. CoRR (2021)
Francesco Di Luzio, Antonello Rosato, Federico Succetti, Massimo Panella
A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks. IJCNN (2021)
Antonello Rosato, Massimo Panella, Denis Kleyko
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. IJCNN (2021)
Antonello Rosato, Rosa Altilio, Massimo Panella
A decentralized algorithm for distributed ensemble clustering. Inf. Sci. 578 (2021)
Antonello Rosato, Massimo Panella, Denis Kleyko
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. CoRR (2021)
Antonello Rosato, Federico Succetti, Marcello Barbirotta, Massimo Panella
ADMM Consensus for Deep LSTM Networks. IJCNN (2020)
Antonello Rosato, Massimo Panella
Time Series Prediction Using Random Weights Fuzzy Neural Networks. FUZZ-IEEE (2020)
Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer
Perceptron Theory for Predicting the Accuracy of Neural Networks. CoRR (2020)
Federico Succetti, Antonello Rosato, Rodolfo Araneo, Massimo Panella
Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series. IEEE Access 8 (2020)
Antonello Rosato, Rodolfo Araneo, Massimo Panella
Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding. CEC (2020)
Massimo Panella, Antonello Rosato
A Training Procedure for Quantum Random Vector Functional-link Networks. ICASSP (2019)
Antonello Rosato, Rosa Altilio, Massimo Panella
On-line Learning of RVFL Neural Networks on Finite Precision Hardware. ISCAS (2018)
Rosa Altilio, Antonello Rosato, Massimo Panella
A Sparse Bayesian Model for Random Weight Fuzzy Neural Networks. FUZZ-IEEE (2018)
Hieda Adriana Nascimento Silva, Antonello Rosato, Rosa Altilio, Massimo Panella
Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing. IJCNN (2018)
Antonello Rosato, Rosa Altilio, Massimo Panella
Finite precision implementation of random vector functional-link networks. DSP (2017)
Rosa Altilio, Antonello Rosato, Massimo Panella
A nonuniform quantizer for hardware implementation of neural networks. ECCTD (2017)
Rosa Altilio, Antonello Rosato, Massimo Panella
A new learning approach for Takagi-Sugeno fuzzy systems applied to time series prediction. FUZZ-IEEE (2017)
Roberto Fierimonte, Marco Barbato, Antonello Rosato, Massimo Panella
Distributed learning of Random Weights Fuzzy Neural Networks. FUZZ-IEEE (2016)