Scale-based clustering with latent variables. - F. M. Frattale Mascioli; Massimo Panella; Antonello Rizzi; Giuseppe Martinelli (EUSIPCO, 2000)

A Recursive Algorithm for Fuzzy Min-Max Networks. - Antonello Rizzi; Massimo Panella; Fabio Massimo Frattale Mascioli; Giuseppe Martinelli (IJCNN (6), 2000)

Scale-based approach to hierarchical fuzzy clustering. - Fabio Massimo Frattale Mascioli; Antonello Rizzi; Massimo Panella; Giuseppe Martinelli (Signal Process., 2000)

Neurofuzzy Approximator based on Mamdani's Model. - Fabio Massimo Frattale Mascioli; A. Mancini; Antonello Rizzi; Massimo Panella; Giuseppe Martinelli (WIRN, 2001)

Automatic feature selection for adaptive resolution classifiers. - Antonello Rizzi; Massimo Panella; F. M. Frattale Mascioli; Giuseppe Martinelli (FUZZ-IEEE, 2002)

Extended Random Neural Networks. - Giuseppe Martinelli; Fabio Massimo Frattale Mascioli; Massimo Panella; Antonello Rizzi (WIRN, 2002)

Adaptive resolution min-max classifiers. - Antonello Rizzi; Massimo Panella; Fabio Massimo Frattale Mascioli (IEEE Trans. Neural Networks, 2002)

A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow. - Massimo Panella; Antonello Rizzi; Fabio Massimo Frattale Mascioli; Giuseppe Martinelli (WILF, 2003)

ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction. - Massimo Panella; Fabio Massimo Frattale Mascioli; Antonello Rizzi; Giuseppe Martinelli (WIRN, 2003)

Refining accuracy of environmental data prediction by MoG neural networks. - Massimo Panella; Antonello Rizzi; Giuseppe Martinelli (Neurocomputing, 2003)

An RNS Architecture for Quasi-Chaotic Oscillators. - Massimo Panella; Giuseppe Martinelli (J. VLSI Signal Process., 2003)

Estimation of bone mineral density data using MoG neural networks. - Antonello Rizzi; Massimo Panella; Maurizio Paschero; Fabio Massimo Frattale Mascioli (IJCNN, 2004)

Neural Network in Modeling Glucose-Insulin Behavior. - Massimo Panella; Francesco Barcellona; Alberto Maria Bersani (WIRN, 2004)

A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal Subspaces. - Massimo Panella; G. Grisanti; Antonello Rizzi (WIRN, 2004)

From Circuits To Neurofuzzy Networks: Synthesis By Numerical And Linguistic Information. - Massimo Panella; Antonello Rizzi; Fabio Massimo Frattale Mascioli; Giuseppe Martinelli (J. Circuits Syst. Comput., 2004)

A modular RC-active network for vibration damping in piezo-electro-mechanical beams. - Massimo Panella; Maurizio Paschero; Fabio Massimo Frattale Mascioli (ISCAS (6), 2005)

RC Distributed Circuits for Vibration Damping in Piezo-Electromechanical Beams. - Massimo Panella; Giuseppe Martinelli (IEEE Trans. Circuits Syst. II Express Briefs, 2005)

An input-output clustering approach to the synthesis of ANFIS networks. - Massimo Panella; A. S. Gallo (IEEE Trans. Fuzzy Syst., 2005)

Baseband Filter Banks for Neural Prediction. - Massimo Panella; Antonello Rizzi (CIMCA/IAWTIC, 2006)

Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data. - Antonello Rizzi; Nicola Maurizio Buccino; Massimo Panella; Aurelio Uncini (CIMCA/IAWTIC, 2006)

Symbolic analysis and optimization of piezo-electromechanical systems. - Massimo Panella; Maurizio Paschero; Fabio Massimo Frattale Mascioli (ISCAS, 2006)

Source Localization in Reverberant Environments by Consistent Peak Selection. - Raffaele Parisi; Albenzio Cirillo; Massimo Panella; Aurelio Uncini (ICASSP (1), 2007)

Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks. - Fabio Massimo Frattale Mascioli; Antonello Rizzi; Massimo Panella; Claudia Bettiol (WILF, 2007)

Binary Neuro-Fuzzy Classifiers Trained by Nonlinear Quantum Circuits. - Massimo Panella; Giuseppe Martinelli (WILF, 2007)

Genre classification of compressed audio data. - Antonello Rizzi; Nicola Maurizio Buccino; Massimo Panella; Aurelio Uncini (MMSP, 2008)

Neurofuzzy Networks With Nonlinear Quantum Learning. - Massimo Panella; Giuseppe Martinelli (IEEE Trans. Fuzzy Syst., 2009)

A tuning procedure for the electric networks of PEM systems. - Massimo Panella; Fabio Massimo Frattale Mascioli (ISCAS, 2010)

Advances in biological time series prediction by neural networks. - Massimo Panella (Biomed. Signal Process. Control., 2011)

Neural networks with quantum architecture and quantum learning. - Massimo Panella; Giuseppe Martinelli (Int. J. Circuit Theory Appl., 2011)

Subband prediction of energy commodity prices. - Massimo Panella; Francesco Barcellona; Rita Laura D'Ecclesia (SPAWC, 2012)

A Hierarchical Procedure for the Synthesis of ANFIS Networks. - Massimo Panella (Adv. Fuzzy Syst., 2012)

Forecasting Energy Commodity Prices Using Neural Networks. - Massimo Panella; Francesco Barcellona; Rita Laura D'Ecclesia (Adv. Decis. Sci., 2012)

Fuzzy membership functions based on point-to-polygon distance evaluation. - Luca Liparulo; Andrea Proietti; Massimo Panella (FUZZ-IEEE, 2013)

A study on crude oil prices modeled by neurofuzzy networks. - Massimo Panella; Luca Liparulo; Francesco Barcellona; Rita Laura D'Ecclesia (FUZZ-IEEE, 2013)

An Accurate Algorithm for the Identification of Fingertips Using an RGB-D Camera. - Marco Maisto; Massimo Panella; Luca Liparulo; Andrea Proietti (IEEE J. Emerg. Sel. Topics Circuits Syst., 2013)

A higher-order fuzzy neural network for modeling financial time series. - Massimo Panella; Luca Liparulo; Andrea Proietti (IJCNN, 2014)

A data driven circuit model for rechargeable batteries. - Massimo Panella; Andrea Proietti (ISCAS, 2014)

Improved online fuzzy clustering based on unconstrained kernels. - Luca Liparulo; Andrea Proietti; Massimo Panella (FUZZ-IEEE, 2015)

Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting. - Tommaso Colombo; Irena Koprinska; Massimo Panella (IJCNN, 2015)

Distributed music classification using Random Vector Functional-Link nets. - Simone Scardapane; Roberto Fierimonte; Dianhui Wang 001; Massimo Panella; Aurelio Uncini (IJCNN, 2015)

Learning from Distributed Data Sources Using Random Vector Functional-Link Networks. - Simone Scardapane; Massimo Panella; Danilo Comminiello; Aurelio Uncini (INNS Conference on Big Data, 2015)

Fuzzy Clustering Using the Convex Hull as Geometrical Model. - Luca Liparulo; Andrea Proietti; Massimo Panella (Adv. Fuzzy Syst., 2015)

Distributed learning for Random Vector Functional-Link networks. - Simone Scardapane; Dianhui Wang 001; Massimo Panella; Aurelio Uncini (Inf. Sci., 2015)

Multimedia and Gaming Technologies for Telerehabilitation of Motor Disabilities [Leading Edge]. - Rosa Altilio; Luca Liparulo; Massimo Panella; Andrea Proietti; Marco Paoloni (IEEE Technol. Soc. Mag., 2015)

Time Series Analysis by Genetic Embedding and Neural Network Regression. - Massimo Panella; Luca Liparulo; Andrea Proietti (Advances in Neural Networks, 2015)

A genetic algorithm for feature selection in gait analysis. - Rosa Altilio; Luca Liparulo; Andrea Proietti; Marco Paoloni; Massimo Panella (CEC, 2016)

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

Classification of Dust Elements by Spatial Geometric Features. - Andrea Proietti; Massimo Panella; Elio D. Di Claudio; Giovanni Jacovitti; Gianni Orlandi (ICPRAM, 2016)

Distributed spectral clustering based on Euclidean distance matrix completion. - Simone Scardapane; Rosa Altilio; Massimo Panella; Aurelio Uncini (IJCNN, 2016)

Introduction to the special section on pervasive computing. - Hamed Vahdat-Nejad; Massimo Panella; Gaëtan Rey (Comput. Electr. Eng., 2016)

Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. - Simone Scardapane; Massimo Panella; Danilo Comminiello; Amir Hussain 001; Aurelio Uncini (IEEE Comput. Intell. Mag., 2016)

Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study. - Enzo Baccarelli; Nicola Cordeschi; Alessandro Mei; Massimo Panella; Mohammad Shojafar; Julinda Stefa (IEEE Netw., 2016)

Distributed semi-supervised support vector machines. - Simone Scardapane; Roberto Fierimonte; Paolo Di Lorenzo; Massimo Panella; Aurelio Uncini (Neural Networks, 2016)

A decentralized training algorithm for Echo State Networks in distributed big data applications. - Simone Scardapane; Dianhui Wang 001; Massimo Panella (Neural Networks, 2016)

A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation. - Zhe Zhang 009; Luca Liparulo; Massimo Panella; Xudong Gu; Qiang Fang 004 (IEEE J. Biomed. Health Informatics, 2016)

A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks. - Roberto Fierimonte; Simone Scardapane; Massimo Panella; Aurelio Uncini (Advances in Neural Networks, 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)

Distributed on-line learning for random-weight fuzzy neural networks. - Roberto Fierimonte; Rosa Altilio; Massimo Panella (FUZZ-IEEE, 2017)

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

Selection of clinical features for pattern recognition applied to gait analysis. - Rosa Altilio; Marco Paoloni; Massimo Panella (Medical Biol. Eng. Comput., 2017)

A novel fuzzy approach for automatic Brunnstrom stage classification using surface electromyography. - Luca Liparulo; Zhe Zhang 009; Massimo Panella; Xudong Gu; Qiang Fang 004 (Medical Biol. Eng. Comput., 2017)

Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion. - Roberto Fierimonte; Simone Scardapane; Aurelio Uncini; Massimo Panella (IEEE Trans. Neural Networks Learn. Syst., 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)

Privacy-Preserving Data Mining for Distributed Medical Scenarios. - Simone Scardapane; Rosa Altilio; Valentina Ciccarelli; Aurelio Uncini; Massimo Panella (Multidisciplinary Approaches to Neural Computing, 2018)

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

A Smartphone-Based Application Using Machine Learning for Gesture Recognition: Using Feature Extraction and Template Matching via Hu Image Moments to Recognize Gestures. - Massimo Panella; Rosa Altilio (IEEE Consumer Electron. Mag., 2019)

Power spectra prognostic aspects of impulsive eye movement traces in superior vestibular neuritis. - Alessandro Micarelli; Andrea Viziano; Massimo Panella; Elisa Micarelli; Marco Alessandrini (Medical Biol. Eng. Comput., 2019)

Distributed data clustering over networks. - Rosa Altilio; Paolo Di Lorenzo; Massimo Panella (Pattern Recognit., 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 Classification Approach to Modeling Financial Time Series. - Rosa Altilio; Giorgio Andreasi; Massimo Panella (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Inverse Classification for Military Decision Support Systems. - Pietro Russo; Massimo Panella (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Artificial Intelligence as Enabler for Sustainable Development. - Ray Walshe; Ansgar Koene; Sabine Baumann; Massimo Panella; Leandros Maglaras; Francisco Petrônio Alencar de Medeiros (ICE/ITMC, 2021)

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 comparison of machine learning classifiers for smartphone-based gait analysis. - Rosa Altilio; Andrea Rossetti; Qiang Fang 004; Xudong Gu; Massimo Panella (Medical Biol. Eng. Comput., 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)

An Indirect Approach to Forecast Produced Power on Photovoltaic Plants Under Uneven Shading Conditions. - Valentina Lucaferri; Martina Radicioni; Francesco De Lia; Antonino Laudani; Roberto Lo Presti; Gabriele Maria Lozito; Francesco Riganti Fulginei; Massimo Panella; Riccardo Schioppo (AII, 2022)

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)

Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks. - Alessio Verdone; Simone Scardapane; Massimo Panella (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)

Resource saving via ensemble techniques for quantum neural networks. - Massimiliano Incudini; Michele Grossi; Andrea Ceschini; Antonio Mandarino; Massimo Panella; Sofia Vallecorsa; David Windridge (Quantum Mach. Intell., 2023)

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

Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques. - Alessio Verdone; Alessio Devoto; Cristiano Sebastiani; Joseph Carmignani; Monica D'Onofrio; Stefano Giagu; Simone Scardapane; Massimo Panella (CoRR, 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)

Quantum Hybrid Diffusion Models for Image Synthesis. - Francesca De Falco; Andrea Ceschini; Alessandro Sebastianelli; Bertrand Le Saux; Massimo Panella (Künstliche Intell., 2024)

Quantum latent diffusion models. - Francesca De Falco; Andrea Ceschini; Alessandro Sebastianelli; Bertrand Le Saux; Massimo Panella (Quantum Mach. Intell., 2024)

Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models. - Eleonora Lopez; Luigi Sigillo; Federica Colonnese; Massimo Panella; Danilo Comminiello (ICASSP, 2025)

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

Machine Learning for Fluid Thermodynamics: State of the Art and Open Challenges. - Federico Succetti; Massimo Panella; Paolo Giannitrapani; Jean-Christophe Rigo; Stefania Colonnese (IEEE Access, 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)

Quantum Simplicial Neural Networks. - Simone Piperno; Claudio Battiloro; Andrea Ceschini; Francesca Dominici; Paolo Di Lorenzo; Massimo Panella (CoRR, 2025)

On hybrid quanvolutional neural networks optimization. - Andrea Ceschini; Andrea Carbone; Alessandro Sebastianelli; Massimo Panella; Bertrand Le Saux (Quantum Mach. Intell., 2025)

A data attribution approach for unsupervised anomaly detection on multivariate time series. - Alessio Verdone; Simone Scardapane; Massimo Panella (Expert Syst. Appl., 2026)