Massimo Panella

Orcid: 0000-0002-9876-1494

According to our database1, Massimo Panella authored at least 115 papers between 2000 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Multi-label classification with imbalanced classes by fuzzy deep neural networks.
Integr. Comput. Aided Eng., 2025

2024
Quantum latent diffusion models.
Quantum Mach. Intell., December, 2024

Perceptron Theory Can Predict the Accuracy of Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection.
Int. J. Neural Syst., February, 2024

Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency.
CoRR, 2024

Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models.
CoRR, 2024

From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks.
CoRR, 2024

An Explainable Fast Deep Neural Network for Emotion Recognition.
CoRR, 2024

Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques.
CoRR, 2024

Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Resource saving via ensemble techniques for quantum neural networks.
Quantum Mach. Intell., December, 2023

Modular quantum circuits for secure communication.
IET Quantum Commun., December, 2023

An adaptive embedding procedure for time series forecasting with deep neural networks.
Neural Networks, October, 2023

Multi-Damage Detection in Composite Space Structures via Deep Learning.
Sensors, September, 2023

A randomized deep neural network for emotion recognition with landmarks detection.
Biomed. Signal Process. Control., March, 2023

A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning.
Sensors, 2023

A Deep Neural Network for G-Quadruplexes Binding Proteins Classification.
Proceedings of the Advances in Computational Intelligence, 2023

Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection.
Proceedings of the Advances in Computational Intelligence, 2023

Neural Graphs: an Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks.
Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023

2022
Design of an LSTM Cell on a Quantum Hardware.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures.
Comput. Networks, 2022

Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing.
Proceedings of the International Joint Conference on Neural Networks, 2022

Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Analysis of Logic Schemes for the Optical Implementation of Pointwise Operations in Gated Recurrent Unit Cells.
Proceedings of the Sensors and Microsystems, 2022

Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks.
AII, 2022

An Indirect Approach to Forecast Produced Power on Photovoltaic Plants Under Uneven Shading Conditions.
AII, 2022

2021
A Parallel Hardware Implementation for 2-D Hierarchical Clustering Based on Fuzzy Logic.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A comparison of machine learning classifiers for smartphone-based gait analysis.
Medical Biol. Eng. Comput., 2021

A decentralized algorithm for distributed ensemble clustering.
Inf. Sci., 2021

Time Series Prediction with Autoencoding LSTM Networks.
Proceedings of the Advances in Computational Intelligence, 2021

On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2021

Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Artificial Intelligence as Enabler for Sustainable Development.
Proceedings of the 2021 IEEE International Conference on Engineering, 2021

2020
Inverse Classification for Military Decision Support Systems.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

A Classification Approach to Modeling Financial Time Series.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Perceptron Theory for Predicting the Accuracy of Neural Networks.
CoRR, 2020

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series.
IEEE Access, 2020

ADMM Consensus for Deep LSTM Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Time Series Prediction Using Random Weights Fuzzy Neural Networks.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Distributed data clustering over networks.
Pattern Recognit., 2019

Power spectra prognostic aspects of impulsive eye movement traces in superior vestibular neuritis.
Medical Biol. Eng. Comput., 2019

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., 2019

A Training Procedure for Quantum Random Vector Functional-link Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Privacy-Preserving Data Mining for Distributed Medical Scenarios.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

On-line Learning of RVFL Neural Networks on Finite Precision Hardware.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Sparse Bayesian Model for Random Weight Fuzzy Neural Networks.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion.
IEEE Trans. Neural Networks Learn. Syst., 2017

A novel fuzzy approach for automatic Brunnstrom stage classification using surface electromyography.
Medical Biol. Eng. Comput., 2017

Selection of clinical features for pattern recognition applied to gait analysis.
Medical Biol. Eng. Comput., 2017

Finite precision implementation of random vector functional-link networks.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Distributed on-line learning for random-weight fuzzy neural networks.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A new learning approach for Takagi-Sugeno fuzzy systems applied to time series prediction.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A nonuniform quantizer for hardware implementation of neural networks.
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017

2016
Recent Advances on Distributed Unsupervised Learning.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation.
IEEE J. Biomed. Health Informatics, 2016

A decentralized training algorithm for Echo State Networks in distributed big data applications.
Neural Networks, 2016

Distributed semi-supervised support vector machines.
Neural Networks, 2016

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., 2016

Distributed Reservoir Computing with Sparse Readouts [Research Frontier].
IEEE Comput. Intell. Mag., 2016

Introduction to the special section on pervasive computing.
Comput. Electr. Eng., 2016

Distributed spectral clustering based on Euclidean distance matrix completion.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Classification of Dust Elements by Spatial Geometric Features.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Distributed learning of Random Weights Fuzzy Neural Networks.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

A genetic algorithm for feature selection in gait analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Time Series Analysis by Genetic Embedding and Neural Network Regression.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Multimedia and Gaming Technologies for Telerehabilitation of Motor Disabilities [Leading Edge].
IEEE Technol. Soc. Mag., 2015

Distributed learning for Random Vector Functional-Link networks.
Inf. Sci., 2015

Fuzzy Clustering Using the Convex Hull as Geometrical Model.
Adv. Fuzzy Syst., 2015

Learning from Distributed Data Sources Using Random Vector Functional-Link Networks.
Proceedings of the INNS Conference on Big Data 2015, 2015

Distributed music classification using Random Vector Functional-Link nets.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Improved online fuzzy clustering based on unconstrained kernels.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
A data driven circuit model for rechargeable batteries.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

A higher-order fuzzy neural network for modeling financial time series.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
An Accurate Algorithm for the Identification of Fingertips Using an RGB-D Camera.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2013

A study on crude oil prices modeled by neurofuzzy networks.
Proceedings of the FUZZ-IEEE 2013, 2013

Fuzzy membership functions based on point-to-polygon distance evaluation.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Forecasting Energy Commodity Prices Using Neural Networks.
Adv. Decis. Sci., 2012

A Hierarchical Procedure for the Synthesis of ANFIS Networks.
Adv. Fuzzy Syst., 2012

Subband prediction of energy commodity prices.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

2011
Neural networks with quantum architecture and quantum learning.
Int. J. Circuit Theory Appl., 2011

Advances in biological time series prediction by neural networks.
Biomed. Signal Process. Control., 2011

2010
A tuning procedure for the electric networks of PEM systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

2009
Neurofuzzy Networks With Nonlinear Quantum Learning.
IEEE Trans. Fuzzy Syst., 2009

2008
Genre classification of compressed audio data.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

2007
Binary Neuro-Fuzzy Classifiers Trained by Nonlinear Quantum Circuits.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

Source Localization in Reverberant Environments by Consistent Peak Selection.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Symbolic analysis and optimization of piezo-electromechanical systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

Baseband Filter Banks for Neural Prediction.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

2005
An input-output clustering approach to the synthesis of ANFIS networks.
IEEE Trans. Fuzzy Syst., 2005

RC Distributed Circuits for Vibration Damping in Piezo-Electromechanical Beams.
IEEE Trans. Circuits Syst. II Express Briefs, 2005

A modular RC-active network for vibration damping in piezo-electro-mechanical beams.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

2004
From Circuits To Neurofuzzy Networks: Synthesis By Numerical And Linguistic Information.
J. Circuits Syst. Comput., 2004

A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal Subspaces.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Neural Network in Modeling Glucose-Insulin Behavior.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

2003
An RNS Architecture for Quasi-Chaotic Oscillators.
J. VLSI Signal Process., 2003

Refining accuracy of environmental data prediction by MoG neural networks.
Neurocomputing, 2003

ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

2002
Adaptive resolution min-max classifiers.
IEEE Trans. Neural Networks, 2002

Extended Random Neural Networks.
Proceedings of the Neural Nets, 13th Italian Workshop on Neural Nets, 2002

Automatic feature selection for adaptive resolution classifiers.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
Neurofuzzy Approximator based on Mamdani's Model.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

2000
Scale-based approach to hierarchical fuzzy clustering.
Signal Process., 2000

A Recursive Algorithm for Fuzzy Min-Max Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Scale-based clustering with latent variables.
Proceedings of the 10th European Signal Processing Conference, 2000


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