A. Rosato

发表

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

Luca Di Nunzio, Rocco Fazzolari, Marco Re, 2021, IEEE Transactions on Circuits and Systems II: Express Briefs.

A Fuzzy Neural Network Approach to Quality Assessment of Water Reservoirs

M. Panella, A. Rosato, H. A. N. Silva, 2019, 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring).

Quasi-Chaotic Oscillators Based on Modular Quantum Circuits

M. Panella, A. Rosato, A. Ceschini, 2022, 2203.14029.

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

M. Panella, V. Eramo, A. Rosato, 2022, Comput. Networks.

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

M. Panella, Evgeny Osipov, A. Rosato, 2021, IWANN.

Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks

M. Panella, A. Rosato, D. Kleyko, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

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

M. Panella, Evgeny Osipov, A. Rosato, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Retrieving Chlorophyll-a levels, transparency and TSS concentration from multispectral satellite data by using artificial neural networks

M. Panella, G. Laneve, A. Rosato, 2017, 2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL).

A decentralized algorithm for distributed ensemble clustering

Massimo Panella, Rosa Altilio, Antonello Rosato, 2021, Inf. Sci..

Recent Advances on Distributed Unsupervised Learning

Massimo Panella, Rosa Altilio, Antonello Rosato, 2015, Advances in Neural Networks.

ADMM Consensus for Deep LSTM Networks

Massimo Panella, Antonello Rosato, Federico Succetti, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Time Series Prediction Using Random Weights Fuzzy Neural Networks

Massimo Panella, Antonello Rosato, M. Panella, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Multidimensional Feeding of LSTM Networks for Multivariate Prediction of Energy Time Series

Rodolfo Araneo, Antonello Rosato, Massimo Panella, 2020, 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series

Massimo Panella, Rodolfo Araneo, Antonello Rosato, 2020, IEEE Access.

A Neural Network Based Prediction System of Distributed Generation for the Management of Microgrids

Massimo Panella, Rodolfo Araneo, Amedeo Andreotti, 2019, IEEE Transactions on Industry Applications.

A Smart Grid in Ponza Island: Battery Energy Storage Management by Echo State Neural Network

Massimo Panella, Rodolfo Araneo, Rosa Altilio, 2018, 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

A randomized deep neural network for emotion recognition with landmarks detection

M. Panella, A. Rosato, F. D. Luzio, 2023, Biomed. Signal Process. Control..

Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction

M. Panella, A. Rosato, A. Ceschini, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

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

Massimo Panella, Antonello Rosato, Federico Succetti, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series

Massimo Panella, Rodolfo Araneo, Amedeo Andreotti, 2021, Energies.

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

Massimo Panella, Rodolfo Araneo, Antonello Rosato, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

A Combined Deep Learning Approach for Time Series Prediction in Energy Environments

Massimo Mitolo, Massimo Panella, Rodolfo Araneo, 2020, 2020 IEEE/IAS 56th Industrial and Commercial Power Systems Technical Conference (I&CPS).

2-D Convolutional Deep Neural Network for Multivariate Energy Time Series Prediction

Massimo Panella, Rodolfo Araneo, Amedeo Andreotti, 2019, 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

Perceptron Theory Can Predict the Accuracy of Neural Networks.

F. Sommer, M. Panella, E. P. Frady, 2020, IEEE transactions on neural networks and learning systems.

Perceptron Theory for Predicting the Accuracy of Neural Networks pdf

Friedrich T. Sommer, Denis Kleyko, Antonello Rosato, 2020, ArXiv.

Challenges and Perspectives of Smart Grid Systems in Islands: A Real Case Study

M. Panella, R. Araneo, A. Rosato, 2023, Energies.

A Distributed Algorithm for the Cooperative Prediction of Power Production in PV Plants

Massimo Panella, Rodolfo Araneo, Antonello Rosato, 2019, IEEE Transactions on Energy Conversion.

A Training Procedure for Quantum Random Vector Functional-link Networks

Massimo Panella, Antonello Rosato, M. Panella, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Two-stage dynamic management in energy communities using a decision system based on elastic net regularization

Osama A. Mohammed, Massimo Panella, Rodolfo Araneo, 2021 .

An Energy-Aware Hardware Implementation of 2D Hierarchical Clustering

Rocco Fazzolari, Gian Carlo Cardarilli, Marco Matta, 2020, 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

Prediction in Photovoltaic Power by Neural Networks

Massimo Panella, Rodolfo Araneo, Rosa Altilio, 2017 .

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

M. Panella, P. Gasbarri, P. Iannelli, 2022, Sensors.

Design of an LSTM Cell on a Quantum Hardware

M. Panella, A. Rosato, A. Ceschini, 2022, IEEE Transactions on Circuits and Systems - II - Express Briefs.

All-optical AND Logic Gate Based on Semiconductor Optical Amplifiers for Implementing Deep Recurrent Neural Networks

M. Panella, B. Alam, R. Asquini, 2022, 2022 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD).

Predictive Analysis of Photovoltaic Power Generation Using Deep Learning

A Sparse Bayesian Model for Random Weight Fuzzy Neural Networks

Massimo Panella, Rosa Altilio, Antonello Rosato, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Deep learning-based Structural Health Monitoring for damage detection on a large space antenna

Paolo Gasbarri, Massimo Panella, Antonello Rosato, 2021, Acta Astronautica.

A Price-aware Dynamic Decision System in Energy Communities

M. Panella, R. Araneo, A. Rosato, 2022, 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

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

Massimo Panella, Rosa Altilio, Antonello Rosato, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Multi-label classification with imbalanced classes by fuzzy deep neural networks

A. Rosato, Federico Succetti, Massimo Panella, 2024, Integrated Computer-Aided Engineering.

Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks

M. Panella, A. Rosato, Federico Succetti, 2022, AII.

From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks

S. Ullo, A. Rosato, A. Sebastianelli, 2024, ArXiv.