Correspondence matching based on Higher Order Statistics for Multi-view plus Depth video sequences. - Stefania Colonnese; P. Oliveira; Antonello Rosato; L. Ungaro; Azeddine Beghdadi; Mauro Biagi; Gaetano Scarano (EUVIP, 2014)

Distributed learning of Random Weights Fuzzy Neural Networks. - Roberto Fierimonte; Marco Barbato; Antonello Rosato; Massimo Panella (FUZZ-IEEE, 2016)

Recent Advances on Distributed Unsupervised Learning. - Antonello Rosato; Rosa Altilio; Massimo Panella (Advances in Neural Networks, 2016)

A nonuniform quantizer for hardware implementation of neural networks. - Rosa Altilio; Antonello Rosato; Massimo Panella (ECCTD, 2017)

A new learning approach for Takagi-Sugeno fuzzy systems applied to time series prediction. - Rosa Altilio; Antonello Rosato; Massimo Panella (FUZZ-IEEE, 2017)

Finite precision implementation of random vector functional-link networks. - Antonello Rosato; Rosa Altilio; Massimo Panella (DSP, 2017)

A Sparse Bayesian Model for Random Weight Fuzzy Neural Networks. - Rosa Altilio; Antonello Rosato; Massimo Panella (FUZZ-IEEE, 2018)

Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing. - Hieda Adriana Nascimento Silva; Antonello Rosato; Rosa Altilio; Massimo Panella (IJCNN, 2018)

On-line Learning of RVFL Neural Networks on Finite Precision Hardware. - Antonello Rosato; Rosa Altilio; Massimo Panella (ISCAS, 2018)

A Training Procedure for Quantum Random Vector Functional-link Networks. - Massimo Panella; Antonello Rosato (ICASSP, 2019)

Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding. - Antonello Rosato; Rodolfo Araneo; Massimo Panella (CEC, 2020)

Time Series Prediction Using Random Weights Fuzzy Neural Networks. - Antonello Rosato; Massimo Panella (FUZZ-IEEE, 2020)

ADMM Consensus for Deep LSTM Networks. - Antonello Rosato; Federico Succetti; Marcello Barbirotta; Massimo Panella (IJCNN, 2020)

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series. - Federico Succetti; Antonello Rosato; Rodolfo Araneo; Massimo Panella (IEEE Access, 2020)

Perceptron Theory for Predicting the Accuracy of Neural Networks. - Denis Kleyko; Antonello Rosato; Edward Paxon Frady; Massimo Panella; Friedrich T. Sommer (CoRR, 2020)

A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks. - Francesco Di Luzio; Antonello Rosato; Federico Succetti; Massimo Panella (IJCNN, 2021)

Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. - Antonello Rosato; Massimo Panella; Denis Kleyko (IJCNN, 2021)

On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. - Antonello Rosato; Massimo Panella; Evgeny Osipov; Denis Kleyko (IWANN (2), 2021)

Time Series Prediction with Autoencoding LSTM Networks. - Federico Succetti; Andrea Ceschini; Francesco Di Luzio; Antonello Rosato; Massimo Panella (IWANN (2), 2021)

A decentralized algorithm for distributed ensemble clustering. - Antonello Rosato; Rosa Altilio; Massimo Panella (Inf. Sci., 2021)

A Parallel Hardware Implementation for 2-D Hierarchical Clustering Based on Fuzzy Logic. - Gian Carlo Cardarilli; Luca Di Nunzio; Rocco Fazzolari; Massimo Panella; Marco Re; Antonello Rosato; Sergio Spanò (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks. - Federico Succetti; Antonello Rosato; Massimo Panella (AII, 2022)

Analysis of Logic Schemes for the Optical Implementation of Pointwise Operations in Gated Recurrent Unit Cells. - Badrul Alam; Andrea Ceschini; Antonello Rosato; Massimo Panella; Rita Asquini (AISEM, 2022)

Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction. - Andrea Ceschini; Antonello Rosato; Massimo Panella (IJCNN, 2022)

Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing. - Antonello Rosato; Massimo Panella; Evgeny Osipov; Denis Kleyko (IJCNN, 2022)

Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures. - Tiziana Catena; Vincenzo Eramo; Massimo Panella; Antonello Rosato (Comput. Networks, 2022)

Design of an LSTM Cell on a Quantum Hardware. - Andrea Ceschini; Antonello Rosato; Massimo Panella (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Neural Graphs: an Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks. - Vincenzo Eramo; Francesco Giacinto Lavacca; Francesco Valente; V. Filippetti; Antonello Rosato; Alessio Verdone; Massimo Panella (ICTON, 2023)

Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection. - Federica Colonnese; Francecso Di Luzio; Antonello Rosato; Massimo Panella (IWANN (2), 2023)

A Deep Neural Network for G-Quadruplexes Binding Proteins Classification. - Francesco Di Luzio; Alessandro Paiardini; Federica Colonnese; Antonello Rosato; Massimo Panella (IWANN (1), 2023)

A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning. - Federica Angeletti; Paolo Iannelli; Paolo Gasbarri; Massimo Panella; Antonello Rosato (Sensors, 2023)

A randomized deep neural network for emotion recognition with landmarks detection. - Francesco Di Luzio; Antonello Rosato; Massimo Panella (Biomed. Signal Process. Control., 2023)

Multi-Damage Detection in Composite Space Structures via Deep Learning. - Federica Angeletti; Paolo Gasbarri; Massimo Panella; Antonello Rosato (Sensors, 2023)

An adaptive embedding procedure for time series forecasting with deep neural networks. - Federico Succetti; Antonello Rosato; Massimo Panella (Neural Networks, 2023)

Modular quantum circuits for secure communication. - Andrea Ceschini; Antonello Rosato; Massimo Panella (IET Quantum Commun., 2023)

A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications. - Federica Angeletti; Federico Succetti; Massimo Panella; Antonello Rosato (CEC, 2024)

AeneasHDC: An Automatic Framework for Deploying Hyperdimensional Computing Models on FPGAs. - Marco Angioli; Saeid Jamili; Marcello Barbirotta; Abdallah Cheikh; Antonio Mastrandrea; Francesco Menichelli; Antonello Rosato; Mauro Olivieri (IJCNN, 2024)

A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm. - Leonardo Lavagna; Andrea Ceschini; Antonello Rosato; Massimo Panella (IJCNN, 2024)

Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series. - Francesca De Falco; Leonardo Lavagna; Andrea Ceschini; Antonello Rosato; Massimo Panella (MLSP, 2024)

Q-SCALE: Quantum Computing-Based Sensor Calibration for Advanced Learning and Efficiency. - Lorenzo Bergadano; Andrea Ceschini; Pietro Chiavassa; Edoardo Giusto; Bartolomeo Montrucchio; Massimo Panella; Antonello Rosato (QCE, 2024)

From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks. - Andrea Ceschini; Francesco Mauro; Francesca De Falco; Alessandro Sebastianelli; Alessio Verdone; Antonello Rosato; Bertrand Le Saux; Massimo Panella; Paolo Gamba; Silvia Liberata Ullo (CoRR, 2024)

Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection. - Federica Colonnese; Francesco Di Luzio; Antonello Rosato; Massimo Panella (Int. J. Neural Syst., 2024)

Perceptron Theory Can Predict the Accuracy of Neural Networks. - Denis Kleyko; Antonello Rosato; Edward Paxon Frady; Massimo Panella; Friedrich T. Sommer (IEEE Trans. Neural Networks Learn. Syst., 2024)

Trade-offs in Cryptosystems by Boolean and Quantum Circuits. - Leonardo Lavagna; Francesca De Falco; Andrea Ceschini; Antonello Rosato; Massimo Panella (ISCAS, 2025)

An explainable fast deep neural network for emotion recognition. - Francesco Di Luzio; Antonello Rosato; Massimo Panella (Biomed. Signal Process. Control., 2025)

Multi-label classification with imbalanced classes by fuzzy deep neural networks. - Federico Succetti; Antonello Rosato; Massimo Panella (Integr. Comput. Aided Eng., 2025)

HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems. - Marco Angioli; Antonello Rosato; Marcello Barbirotta; Rocco Martino; Francesco Menichelli; Mauro Olivieri (CoRR, 2025)