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Antonello Rosato
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2020 – today
- 2025
- [j13]Federico Succetti, Antonello Rosato, Massimo Panella:
Multi-label classification with imbalanced classes by fuzzy deep neural networks. Integr. Comput. Aided Eng. 32(1): 23-36 (2025) - 2024
- [j12]Federica Colonnese
, Francesco Di Luzio
Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection. Int. J. Neural Syst. 34(2): 2450005:1-2450005:16 (2024) - [j11]Denis Kleyko
Perceptron Theory Can Predict the Accuracy of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9885-9899 (2024) - [c26]Federica Angeletti, Federico Succetti, Massimo Panella, Antonello Rosato:
A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications. CEC 2024: 1-8 - [c25]Marco Angioli, Saeid Jamili, Marcello Barbirotta, Abdallah Cheikh, Antonio Mastrandrea, Francesco Menichelli, Antonello Rosato, Mauro Olivieri:
AeneasHDC: An Automatic Framework for Deploying Hyperdimensional Computing Models on FPGAs. IJCNN 2024: 1-8 - [c24]Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella:
A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm. IJCNN 2024: 1-8 - [i6]Francesco Di Luzio, Antonello Rosato, Massimo Panella:
An Explainable Fast Deep Neural Network for Emotion Recognition. CoRR abs/2407.14865 (2024) - [i5]Andrea Ceschini, Francesco Mauro, Francesca De Falco, Alessandro Sebastianelli, Alessio Verdone, Antonello Rosato, Bertrand Le Saux, Massimo Panella, Paolo Gamba, Silvia Liberata Ullo:
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks. CoRR abs/2408.06524 (2024) - [i4]Lorenzo Bergadano, Andrea Ceschini, Pietro Chiavassa, Edoardo Giusto, Bartolomeo Montrucchio, Massimo Panella, Antonello Rosato:
Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency. CoRR abs/2410.02998 (2024) - 2023
- [j10]Francesco Di Luzio, Antonello Rosato, Massimo Panella
A randomized deep neural network for emotion recognition with landmarks detection. Biomed. Signal Process. Control. 81: 104418 (2023) - [j9]Andrea Ceschini, Antonello Rosato, Massimo Panella
Modular quantum circuits for secure communication. IET Quantum Commun. 4(4): 208-217 (2023) - [j8]Federico Succetti
An adaptive embedding procedure for time series forecasting with deep neural networks. Neural Networks 167: 715-729 (2023) - [j7]Federica Angeletti, Paolo Iannelli, Paolo Gasbarri
A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning. Sensors 23(1): 368 (2023) - [j6]Federica Angeletti, Paolo Gasbarri
Multi-Damage Detection in Composite Space Structures via Deep Learning. Sensors 23(17): 7515 (2023) - [c23]Vincenzo Eramo, Francesco Giacinto Lavacca, Francesco Valente, V. Filippetti, Antonello Rosato, Alessio Verdone
Neural Graphs: an Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks. ICTON 2023: 1-6 - [c22]Federica Colonnese
Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection. IWANN (2) 2023: 364-375 - [c21]Francesco Di Luzio, Alessandro Paiardini, Federica Colonnese
A Deep Neural Network for G-Quadruplexes Binding Proteins Classification. IWANN (1) 2023: 517-528 - 2022
- [j5]Tiziana Catena, Vincenzo Eramo
Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures. Comput. Networks 213: 109111 (2022) - [j4]Andrea Ceschini
Design of an LSTM Cell on a Quantum Hardware. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1822-1826 (2022) - [c20]Federico Succetti, Antonello Rosato, Massimo Panella
Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks. AII 2022: 404-418 - [c19]Badrul Alam, Andrea Ceschini, Antonello Rosato, Massimo Panella
Analysis of Logic Schemes for the Optical Implementation of Pointwise Operations in Gated Recurrent Unit Cells. AISEM 2022: 167-173 - [c18]Andrea Ceschini, Antonello Rosato, Massimo Panella
Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction. IJCNN 2022: 1-8 - [c17]Antonello Rosato, Massimo Panella
Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing. IJCNN 2022: 1-8 - 2021
- [j3]Antonello Rosato, Rosa Altilio, Massimo Panella
A decentralized algorithm for distributed ensemble clustering. Inf. Sci. 578: 417-434 (2021) - [j2]Gian Carlo Cardarilli
A Parallel Hardware Implementation for 2-D Hierarchical Clustering Based on Fuzzy Logic. IEEE Trans. Circuits Syst. II Express Briefs 68(4): 1428-1432 (2021) - [c16]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: 1-7 - [c15]Antonello Rosato, Massimo Panella
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. IJCNN 2021: 1-10 - [c14]Antonello Rosato, Massimo Panella
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. IWANN (2) 2021: 155-167 - [c13]Federico Succetti, Andrea Ceschini, Francesco Di Luzio, Antonello Rosato, Massimo Panella
Time Series Prediction with Autoencoding LSTM Networks. IWANN (2) 2021: 306-317 - [i3]Antonello Rosato, Massimo Panella, Denis Kleyko:
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. CoRR abs/2106.00881 (2021) - [i2]Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko:
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. CoRR abs/2106.09831 (2021) - 2020
- [j1]Federico Succetti
Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series. IEEE Access 8: 211490-211505 (2020) - [c12]Antonello Rosato, Rodolfo Araneo, Massimo Panella
Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding. CEC 2020: 1-8 - [c11]Antonello Rosato, Massimo Panella
Time Series Prediction Using Random Weights Fuzzy Neural Networks. FUZZ-IEEE 2020: 1-6 - [c10]Antonello Rosato, Federico Succetti, Marcello Barbirotta
ADMM Consensus for Deep LSTM Networks. IJCNN 2020: 1-8 - [i1]Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer:
Perceptron Theory for Predicting the Accuracy of Neural Networks. CoRR abs/2012.07881 (2020)
2010 – 2019
- 2019
- [c9]Massimo Panella
A Training Procedure for Quantum Random Vector Functional-link Networks. ICASSP 2019: 7973-7977 - 2018
- [c8]Rosa Altilio, Antonello Rosato, Massimo Panella
A Sparse Bayesian Model for Random Weight Fuzzy Neural Networks. FUZZ-IEEE 2018: 1-7 - [c7]Hieda Adriana Nascimento Silva, Antonello Rosato, Rosa Altilio, Massimo Panella
Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing. IJCNN 2018: 1-6 - [c6]Antonello Rosato, Rosa Altilio, Massimo Panella
On-line Learning of RVFL Neural Networks on Finite Precision Hardware. ISCAS 2018: 1-5 - 2017
- [c5]Rosa Altilio, Antonello Rosato, Massimo Panella
A nonuniform quantizer for hardware implementation of neural networks. ECCTD 2017: 1-4 - [c4]Rosa Altilio, Antonello Rosato, Massimo Panella
A new learning approach for Takagi-Sugeno fuzzy systems applied to time series prediction. FUZZ-IEEE 2017: 1-6 - [c3]Antonello Rosato, Rosa Altilio, Massimo Panella
Finite precision implementation of random vector functional-link networks. DSP 2017: 1-5 - 2016
- [c2]Roberto Fierimonte, Marco Barbato, Antonello Rosato, Massimo Panella
Distributed learning of Random Weights Fuzzy Neural Networks. FUZZ-IEEE 2016: 2287-2294 - [p1]Antonello Rosato, Rosa Altilio, Massimo Panella
Recent Advances on Distributed Unsupervised Learning. Advances in Neural Networks 2016: 77-86 - 2014
- [c1]Stefania Colonnese
Correspondence matching based on Higher Order Statistics for Multi-view plus Depth video sequences. EUVIP 2014: 1-6
Coauthor Index
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