Massimo Panella

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 61

Top Venues

IJCNN

FUZZ-IEEE

CoRR

Medical Biol. Eng. Comput.

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)
Alessio Verdone, Alessio Devoto, Cristiano Sebastiani, Joseph Carmignani, Monica D'Onofrio, Stefano Giagu, Simone Scardapane, Massimo Panella
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques. CoRR (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)
Massimiliano Incudini, Michele Grossi, Andrea Ceschini, Antonio Mandarino, Massimo Panella, Sofia Vallecorsa, David Windridge
Resource saving via ensemble techniques for quantum neural networks. Quantum Mach. Intell. 5 (2) (2023)
Valentina Lucaferri, Martina Radicioni, Francesco De Lia, Antonino Laudani, Roberto Lo Presti, Gabriele Maria Lozito, Francesco Riganti Fulginei, Massimo Panella, Riccardo Schioppo
An Indirect Approach to Forecast Produced Power on Photovoltaic Plants Under Uneven Shading Conditions. AII (2022)
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)
Alessio Verdone, Simone Scardapane, Massimo Panella
Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks. IJCNN (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)
Ray Walshe, Ansgar Koene, Sabine Baumann, Massimo Panella, Leandros A. Maglaras, Francisco Medeiros
Artificial Intelligence as Enabler for Sustainable Development. ICE/ITMC (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)
Rosa Altilio, Andrea Rossetti, Qiang Fang, Xudong Gu, Massimo Panella
A comparison of machine learning classifiers for smartphone-based gait analysis. Medical Biol. Eng. Comput. 59 (3) (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)
Alessandro Micarelli, Andrea Viziano, Massimo Panella, Elisa Micarelli, Marco Alessandrini
Power spectra prognostic aspects of impulsive eye movement traces in superior vestibular neuritis. Medical Biol. Eng. Comput. 57 (8) (2019)
Massimo Panella, Rosa Altilio
A Smartphone-Based Application Using Machine Learning for Gesture Recognition: Using Feature Extraction and Template Matching via Hu Image Moments to Recognize Gestures. IEEE Consumer Electron. Mag. 8 (1) (2019)
Rosa Altilio, Paolo Di Lorenzo, Massimo Panella
Distributed data clustering over networks. Pattern Recognit. 93 (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, Rosa Altilio, Massimo Panella
Distributed on-line learning for random-weight fuzzy neural networks. FUZZ-IEEE (2017)
Roberto Fierimonte, Simone Scardapane, Aurelio Uncini, Massimo Panella
Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Rosa Altilio, Marco Paoloni, Massimo Panella
Selection of clinical features for pattern recognition applied to gait analysis. Medical Biol. Eng. Comput. 55 (4) (2017)
Luca Liparulo, Zhe Zhang, Massimo Panella, Xudong Gu, Qiang Fang
A novel fuzzy approach for automatic Brunnstrom stage classification using surface electromyography. Medical Biol. Eng. Comput. 55 (8) (2017)
Roberto Fierimonte, Marco Barbato, Antonello Rosato, Massimo Panella
Distributed learning of Random Weights Fuzzy Neural Networks. FUZZ-IEEE (2016)
Andrea Proietti, Massimo Panella, Elio D. Di Claudio, Giovanni Jacovitti, Gianni Orlandi
Classification of Dust Elements by Spatial Geometric Features. ICPRAM (2016)
Zhe Zhang, Luca Liparulo, Massimo Panella, Xudong Gu, Qiang Fang
A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation. IEEE J. Biomed. Health Informatics 20 (3) (2016)
Hamed Vahdat-Nejad, Massimo Panella, Gaëtan Rey
Introduction to the special section on pervasive computing. Comput. Electr. Eng. 55 (2016)
Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini
Distributed semi-supervised support vector machines. Neural Networks 80 (2016)
Simone Scardapane, Rosa Altilio, Massimo Panella, Aurelio Uncini
Distributed spectral clustering based on Euclidean distance matrix completion. IJCNN (2016)
Enzo Baccarelli, Nicola Cordeschi, Alessandro Mei, Massimo Panella, Mohammad Shojafar, Julinda Stefa
Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study. IEEE Netw. 30 (2) (2016)
Rosa Altilio, Luca Liparulo, Andrea Proietti, Marco Paoloni, Massimo Panella
A genetic algorithm for feature selection in gait analysis. CEC (2016)
Simone Scardapane, Dianhui Wang, Massimo Panella
A decentralized training algorithm for Echo State Networks in distributed big data applications. Neural Networks 78 (2016)
Simone Scardapane, Massimo Panella, Danilo Comminiello, Amir Hussain, Aurelio Uncini
Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. IEEE Comput. Intell. Mag. 11 (4) (2016)
Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini
Distributed music classification using Random Vector Functional-Link nets. IJCNN (2015)
Luca Liparulo, Andrea Proietti, Massimo Panella
Fuzzy Clustering Using the Convex Hull as Geometrical Model. Adv. Fuzzy Syst. 2015 (2015)
Simone Scardapane, Massimo Panella, Danilo Comminiello, Aurelio Uncini
Learning from Distributed Data Sources Using Random Vector Functional-Link Networks. INNS Conference on Big Data (2015)
Tommaso Colombo, Irena Koprinska, Massimo Panella
Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting. IJCNN (2015)
Luca Liparulo, Andrea Proietti, Massimo Panella
Improved online fuzzy clustering based on unconstrained kernels. FUZZ-IEEE (2015)
Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini
Distributed learning for Random Vector Functional-Link networks. Inf. Sci. 301 (2015)
Rosa Altilio, Luca Liparulo, Massimo Panella, Andrea Proietti, Marco Paoloni
Multimedia and Gaming Technologies for Telerehabilitation of Motor Disabilities [Leading Edge]. IEEE Technol. Soc. Mag. 34 (4) (2015)
Massimo Panella, Luca Liparulo, Andrea Proietti
A higher-order fuzzy neural network for modeling financial time series. IJCNN (2014)
Massimo Panella, Andrea Proietti
A data driven circuit model for rechargeable batteries. ISCAS (2014)
Luca Liparulo, Andrea Proietti, Massimo Panella
Fuzzy membership functions based on point-to-polygon distance evaluation. FUZZ-IEEE (2013)
Massimo Panella, Luca Liparulo, Francesco Barcellona, Rita Laura D'Ecclesia
A study on crude oil prices modeled by neurofuzzy networks. FUZZ-IEEE (2013)
Marco Maisto, Massimo Panella, Luca Liparulo, Andrea Proietti
An Accurate Algorithm for the Identification of Fingertips Using an RGB-D Camera. IEEE J. Emerg. Sel. Topics Circuits Syst. 3 (2) (2013)
Massimo Panella, Francesco Barcellona, Rita Laura D'Ecclesia
Subband prediction of energy commodity prices. SPAWC (2012)
Massimo Panella, Francesco Barcellona, Rita Laura D'Ecclesia
Forecasting Energy Commodity Prices Using Neural Networks. Adv. Decis. Sci. 2012 (2012)
Massimo Panella
A Hierarchical Procedure for the Synthesis of ANFIS Networks. Adv. Fuzzy Syst. 2012 (2012)
Massimo Panella
Advances in biological time series prediction by neural networks. Biomed. Signal Process. Control. 6 (2) (2011)
Massimo Panella, Giuseppe Martinelli
Neural networks with quantum architecture and quantum learning. Int. J. Circuit Theory Appl. 39 (1) (2011)
Massimo Panella, Fabio Massimo Frattale Mascioli
A tuning procedure for the electric networks of PEM systems. ISCAS (2010)
Massimo Panella, Giuseppe Martinelli
Neurofuzzy Networks With Nonlinear Quantum Learning. IEEE Trans. Fuzzy Syst. 17 (3) (2009)
Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini
Genre classification of compressed audio data. MMSP (2008)
Raffaele Parisi, Albenzio Cirillo, Massimo Panella, Aurelio Uncini
Source Localization in Reverberant Environments by Consistent Peak Selection. ICASSP (1) (2007)
Fabio Massimo Frattale Mascioli, Antonello Rizzi, Massimo Panella, Claudia Bettiol
Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks. WILF (2007)
Massimo Panella, Giuseppe Martinelli
Binary Neuro-Fuzzy Classifiers Trained by Nonlinear Quantum Circuits. WILF (2007)
Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini
Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data. CIMCA/IAWTIC (2006)
Massimo Panella, Maurizio Paschero, Fabio Massimo Frattale Mascioli
Symbolic analysis and optimization of piezo-electromechanical systems. ISCAS (2006)
Massimo Panella, Antonello Rizzi
Baseband Filter Banks for Neural Prediction. CIMCA/IAWTIC (2006)
Massimo Panella, Maurizio Paschero, Fabio Massimo Frattale Mascioli
A modular RC-active network for vibration damping in piezo-electro-mechanical beams. ISCAS (6) (2005)
Massimo Panella, Giuseppe Martinelli
RC Distributed Circuits for Vibration Damping in Piezo-Electromechanical Beams. IEEE Trans. Circuits Syst. II Express Briefs (8) (2005)
Massimo Panella, A. S. Gallo
An input-output clustering approach to the synthesis of ANFIS networks. IEEE Trans. Fuzzy Syst. 13 (1) (2005)
Massimo Panella, Francesco Barcellona, Alberto Maria Bersani
Neural Network in Modeling Glucose-Insulin Behavior. WIRN (2004)
Massimo Panella, G. Grisanti, Antonello Rizzi
A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal Subspaces. WIRN (2004)
Massimo Panella, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli
From Circuits To Neurofuzzy Networks: Synthesis By Numerical And Linguistic Information. J. Circuits Syst. Comput. 13 (1) (2004)
Massimo Panella, Giuseppe Martinelli
An RNS Architecture for Quasi-Chaotic Oscillators. J. VLSI Signal Process. 33 (1-2) (2003)
Massimo Panella, Antonello Rizzi, Giuseppe Martinelli
Refining accuracy of environmental data prediction by MoG neural networks. Neurocomputing 55 (3-4) (2003)
Massimo Panella, Fabio Massimo Frattale Mascioli, Antonello Rizzi, Giuseppe Martinelli
ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction. WIRN (2003)
Massimo Panella, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli
A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow. WILF (2003)
Giuseppe Martinelli, Fabio Massimo Frattale Mascioli, Massimo Panella, Antonello Rizzi
Extended Random Neural Networks. WIRN (2002)
Antonello Rizzi, Massimo Panella, F. M. Frattale Mascioli, Giuseppe Martinelli
Automatic feature selection for adaptive resolution classifiers. FUZZ-IEEE (2002)
Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli
Adaptive resolution min-max classifiers. IEEE Trans. Neural Networks 13 (2) (2002)

Massimo Panella.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Massimo Panella