Massimo Panella

136 papers B 31C 7Misc 3Journal 61Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A data attribution approach for unsupervised anomaly detection on multivariate time series. Expert Syst. Appl. Alessio Verdone, Simone Scardapane, Massimo Panella
2026	J	`jnl`	A deep learning framework for comprehensive prediction of human RNA G-quadruplex-binding proteins. Bioinform. Serena Rosignoli, Sophie Taraglio, Francesco Di Luzio, Elisa Lustrino, Dario F. Marzella, Arne Elofsson, Massimo Panella, Alessandro Paiardini
2026	J	`jnl`	A hybrid quantum-neural network for heart disease classification. Biomed. Signal Process. Control. Alessio Verdone, Federico Succetti, Andrea Ceschini, Antonello Rosato, Alessio Fioravanti, Massimo Panella
2026	J	`jnl`	All-optical AND Logic Gate With High Extinction Ratio for Neural Network Hardware Implementation. IEEE J. Emerg. Sel. Topics Circuits Syst. Rita Asquini, Alessio Buzzin, Badrul Alam, Andrea Ceschini, Antonello Rosato, Massimo Panella
2025	B	`conf`	A Study on Quantum Reservoir Recurrent Models for Time-Constrained Volatile Sequence Forecasting. IJCNN Antonello Rosato, Andrea Ceschini, Federico Succetti, Samuel Yen-Chi Chen, Massimo Panella
2025	J	`jnl`	An explainable fast deep neural network for emotion recognition. Biomed. Signal Process. Control. Francesco Di Luzio, Antonello Rosato, Massimo Panella
2025	B	`conf`	Classical to Quantum Knowledge Distillation: a Study on the Impact of Hybridization. IJCNN Simone Piperno, Giacomo Vittori, David Windridge, Antonello Rosato, Massimo Panella
2025	B	`conf`	Graph Attention Networks for Gait-Based Autism Spectrum Disorder Detection and Interpretability. IJCNN Simone Colella, Federica Colonnese, Francesco Di Luzio, Antonello Rosato, Alessio Fioravanti, Massimo Panella
2025	Misc	`conf`	Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models. ICASSP Eleonora Lopez, Luigi Sigillo, Federica Colonnese, Massimo Panella, Danilo Comminiello
2025	B	`conf`	Hybrid Quantum-Classical Framework for Anomaly Detection in Time Series with QUBO formulation and QAOA. IJCNN Marco Casalbore, Leonardo Lavagna, Antonello Rosato, Massimo Panella
2025	J	`jnl`	Machine Learning for Fluid Thermodynamics: State of the Art and Open Challenges. IEEE Access Federico Succetti, Massimo Panella, Paolo Giannitrapani, Jean-Christophe Rigo, Stefania Colonnese
2025	J	`jnl`	Multi-label classification with imbalanced classes by fuzzy deep neural networks. Integr. Comput. Aided Eng. Federico Succetti, Antonello Rosato, Massimo Panella
2025	B	`conf`	Novel Quantum Approaches to Hyperdimensional Computing for Neural Networks. IJCNN Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella
2025	J	`jnl`	On hybrid quanvolutional neural networks optimization. Quantum Mach. Intell. Andrea Ceschini, Andrea Carbone, Alessandro Sebastianelli, Massimo Panella, Bertrand Le Saux
2025	B	`conf`	Patch-Based Graph Neural Network for Autism Classification via Eye Gaze Analysis. IJCNN Alessio Verdone, Federica Colonnese, Antonello Rosato, Massimo Panella
2025	J	`jnl`	Quantum Simplicial Neural Networks. CoRR Simone Piperno, Claudio Battiloro, Andrea Ceschini, Francesca Dominici, Paolo Di Lorenzo, Massimo Panella
2025	C	`conf`	Trade-offs in Cryptosystems by Boolean and Quantum Circuits. ISCAS Leonardo Lavagna, Francesca De Falco, Andrea Ceschini, Antonello Rosato, Massimo Panella
2024	B	`conf`	A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm. IJCNN Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella
2024	B	`conf`	A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications. CEC Federica Angeletti, Federico Succetti, Massimo Panella, Antonello Rosato
2024	J	`jnl`	An Explainable Fast Deep Neural Network for Emotion Recognition. CoRR Francesco Di Luzio, Antonello Rosato, Massimo Panella
2024	J	`jnl`	Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection. Int. J. Neural Syst. Federica Colonnese, Francesco Di Luzio, Antonello Rosato, Massimo Panella
2024	J	`jnl`	Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques. CoRR Alessio Verdone, Alessio Devoto, Cristiano Sebastiani, Joseph Carmignani, Monica D'Onofrio, Stefano Giagu, Simone Scardapane, Massimo Panella
2024	—	`conf`	Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series. MLSP Francesca De Falco, Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella
2024	J	`jnl`	From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks. CoRR Andrea Ceschini, Francesco Mauro, Francesca De Falco, Alessandro Sebastianelli, Alessio Verdone, Antonello Rosato, Bertrand Le Saux, Massimo Panella, Paolo Gamba, Silvia Liberata Ullo
2024	J	`jnl`	Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models. CoRR Eleonora Lopez, Luigi Sigillo, Federica Colonnese, Massimo Panella, Danilo Comminiello
2024	J	`jnl`	Perceptron Theory Can Predict the Accuracy of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer
2024	Misc	`conf`	Q-SCALE: Quantum Computing-Based Sensor Calibration for Advanced Learning and Efficiency. QCE Lorenzo Bergadano, Andrea Ceschini, Pietro Chiavassa, Edoardo Giusto, Bartolomeo Montrucchio, Massimo Panella, Antonello Rosato
2024	J	`jnl`	Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency. CoRR Lorenzo Bergadano, Andrea Ceschini, Pietro Chiavassa, Edoardo Giusto, Bartolomeo Montrucchio, Massimo Panella, Antonello Rosato
2024	J	`jnl`	Quantum Hybrid Diffusion Models for Image Synthesis. Künstliche Intell. Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, Bertrand Le Saux, Massimo Panella
2024	J	`jnl`	Quantum latent diffusion models. Quantum Mach. Intell. Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, Bertrand Le Saux, Massimo Panella
2023	—	`conf`	A Deep Neural Network for G-Quadruplexes Binding Proteins Classification. IWANN (1) Francesco Di Luzio, Alessandro Paiardini, Federica Colonnese, Antonello Rosato, Massimo Panella
2023	J	`jnl`	A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning. Sensors Federica Angeletti, Paolo Iannelli, Paolo Gasbarri, Massimo Panella, Antonello Rosato
2023	J	`jnl`	A randomized deep neural network for emotion recognition with landmarks detection. Biomed. Signal Process. Control. Francesco Di Luzio, Antonello Rosato, Massimo Panella
2023	J	`jnl`	An adaptive embedding procedure for time series forecasting with deep neural networks. Neural Networks Federico Succetti, Antonello Rosato, Massimo Panella
2023	—	`conf`	Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection. IWANN (2) Federica Colonnese, Francecso Di Luzio, Antonello Rosato, Massimo Panella
2023	J	`jnl`	Modular quantum circuits for secure communication. IET Quantum Commun. Andrea Ceschini, Antonello Rosato, Massimo Panella
2023	J	`jnl`	Multi-Damage Detection in Composite Space Structures via Deep Learning. Sensors Federica Angeletti, Paolo Gasbarri, Massimo Panella, Antonello Rosato
2023	—	`conf`	Neural Graphs: an Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks. ICTON Vincenzo Eramo, Francesco Giacinto Lavacca, Francesco Valente, V. Filippetti, Antonello Rosato, Alessio Verdone, Massimo Panella
2023	J	`jnl`	Resource saving via ensemble techniques for quantum neural networks. Quantum Mach. Intell. Massimiliano Incudini, Michele Grossi, Andrea Ceschini, Antonio Mandarino, Massimo Panella, Sofia Vallecorsa, David Windridge
2022	—	`conf`	An Indirect Approach to Forecast Produced Power on Photovoltaic Plants Under Uneven Shading Conditions. AII Valentina Lucaferri, Martina Radicioni, Francesco De Lia, Antonino Laudani, Roberto Lo Presti, Gabriele Maria Lozito, Francesco Riganti Fulginei, Massimo Panella, Riccardo Schioppo
2022	—	`conf`	Analysis of Logic Schemes for the Optical Implementation of Pointwise Operations in Gated Recurrent Unit Cells. AISEM Badrul Alam, Andrea Ceschini, Antonello Rosato, Massimo Panella, Rita Asquini
2022	J	`jnl`	Design of an LSTM Cell on a Quantum Hardware. IEEE Trans. Circuits Syst. II Express Briefs Andrea Ceschini, Antonello Rosato, Massimo Panella
2022	J	`jnl`	Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures. Comput. Networks Tiziana Catena, Vincenzo Eramo, Massimo Panella, Antonello Rosato
2022	B	`conf`	Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing. IJCNN Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko
2022	B	`conf`	Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction. IJCNN Andrea Ceschini, Antonello Rosato, Massimo Panella
2022	B	`conf`	Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks. IJCNN Alessio Verdone, Simone Scardapane, Massimo Panella
2022	—	`conf`	Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks. AII Federico Succetti, Antonello Rosato, Massimo Panella
2021	B	`conf`	A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks. IJCNN Francesco Di Luzio, Antonello Rosato, Federico Succetti, Massimo Panella
2021	J	`jnl`	A Parallel Hardware Implementation for 2-D Hierarchical Clustering Based on Fuzzy Logic. IEEE Trans. Circuits Syst. II Express Briefs Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Massimo Panella, Marco Re, Antonello Rosato, Sergio Spanò
2021	J	`jnl`	A comparison of machine learning classifiers for smartphone-based gait analysis. Medical Biol. Eng. Comput. Rosa Altilio, Andrea Rossetti, Qiang Fang, Xudong Gu, Massimo Panella
2021	J	`jnl`	A decentralized algorithm for distributed ensemble clustering. Inf. Sci. Antonello Rosato, Rosa Altilio, Massimo Panella
2021	—	`conf`	Artificial Intelligence as Enabler for Sustainable Development. ICE/ITMC Ray Walshe, Ansgar Koene, Sabine Baumann, Massimo Panella, Leandros Maglaras, Francisco Petrônio Alencar de Medeiros
2021	B	`conf`	Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. IJCNN Antonello Rosato, Massimo Panella, Denis Kleyko
2021	J	`jnl`	Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. CoRR Antonello Rosato, Massimo Panella, Denis Kleyko
2021	—	`conf`	On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. IWANN (2) Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko
2021	J	`jnl`	On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. CoRR Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko
2021	—	`conf`	Time Series Prediction with Autoencoding LSTM Networks. IWANN (2) Federico Succetti, Andrea Ceschini, Francesco Di Luzio, Antonello Rosato, Massimo Panella
2020	—	`ch.`	A Classification Approach to Modeling Financial Time Series. Neural Advances in Processing Nonlinear Dynamic Signals Rosa Altilio, Giorgio Andreasi, Massimo Panella
2020	B	`conf`	ADMM Consensus for Deep LSTM Networks. IJCNN Antonello Rosato, Federico Succetti, Marcello Barbirotta, Massimo Panella
2020	J	`jnl`	Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series. IEEE Access Federico Succetti, Antonello Rosato, Rodolfo Araneo, Massimo Panella
2020	—	`ch.`	Inverse Classification for Military Decision Support Systems. Neural Approaches to Dynamics of Signal Exchanges Pietro Russo, Massimo Panella
2020	J	`jnl`	Perceptron Theory for Predicting the Accuracy of Neural Networks. CoRR Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer
2020	B	`conf`	Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding. CEC Antonello Rosato, Rodolfo Araneo, Massimo Panella
2020	B	`conf`	Time Series Prediction Using Random Weights Fuzzy Neural Networks. FUZZ-IEEE Antonello Rosato, Massimo Panella
2019	J	`jnl`	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. Massimo Panella, Rosa Altilio
2019	Misc	`conf`	A Training Procedure for Quantum Random Vector Functional-link Networks. ICASSP Massimo Panella, Antonello Rosato
2019	J	`jnl`	Distributed data clustering over networks. Pattern Recognit. Rosa Altilio, Paolo Di Lorenzo, Massimo Panella
2019	J	`jnl`	Power spectra prognostic aspects of impulsive eye movement traces in superior vestibular neuritis. Medical Biol. Eng. Comput. Alessandro Micarelli, Andrea Viziano, Massimo Panella, Elisa Micarelli, Marco Alessandrini
2018	B	`conf`	A Sparse Bayesian Model for Random Weight Fuzzy Neural Networks. FUZZ-IEEE Rosa Altilio, Antonello Rosato, Massimo Panella
2018	C	`conf`	On-line Learning of RVFL Neural Networks on Finite Precision Hardware. ISCAS Antonello Rosato, Rosa Altilio, Massimo Panella
2018	—	`ch.`	Privacy-Preserving Data Mining for Distributed Medical Scenarios. Multidisciplinary Approaches to Neural Computing Simone Scardapane, Rosa Altilio, Valentina Ciccarelli, Aurelio Uncini, Massimo Panella
2018	B	`conf`	Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing. IJCNN Hieda Adriana Nascimento Silva, Antonello Rosato, Rosa Altilio, Massimo Panella
2017	B	`conf`	A new learning approach for Takagi-Sugeno fuzzy systems applied to time series prediction. FUZZ-IEEE Rosa Altilio, Antonello Rosato, Massimo Panella
2017	—	`conf`	A nonuniform quantizer for hardware implementation of neural networks. ECCTD Rosa Altilio, Antonello Rosato, Massimo Panella
2017	J	`jnl`	A novel fuzzy approach for automatic Brunnstrom stage classification using surface electromyography. Medical Biol. Eng. Comput. Luca Liparulo, Zhe Zhang, Massimo Panella, Xudong Gu, Qiang Fang
2017	B	`conf`	Distributed on-line learning for random-weight fuzzy neural networks. FUZZ-IEEE Roberto Fierimonte, Rosa Altilio, Massimo Panella
2017	—	`conf`	Finite precision implementation of random vector functional-link networks. DSP Antonello Rosato, Rosa Altilio, Massimo Panella
2017	J	`jnl`	Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion. IEEE Trans. Neural Networks Learn. Syst. Roberto Fierimonte, Simone Scardapane, Aurelio Uncini, Massimo Panella
2017	J	`jnl`	Selection of clinical features for pattern recognition applied to gait analysis. Medical Biol. Eng. Comput. Rosa Altilio, Marco Paoloni, Massimo Panella
2016	—	`ch.`	A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks. Advances in Neural Networks Roberto Fierimonte, Simone Scardapane, Massimo Panella, Aurelio Uncini
2016	J	`jnl`	A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation. IEEE J. Biomed. Health Informatics Zhe Zhang, Luca Liparulo, Massimo Panella, Xudong Gu, Qiang Fang
2016	J	`jnl`	A decentralized training algorithm for Echo State Networks in distributed big data applications. Neural Networks Simone Scardapane, Dianhui Wang, Massimo Panella
2016	B	`conf`	A genetic algorithm for feature selection in gait analysis. CEC Rosa Altilio, Luca Liparulo, Andrea Proietti, Marco Paoloni, Massimo Panella
2016	C	`conf`	Classification of Dust Elements by Spatial Geometric Features. ICPRAM Andrea Proietti, Massimo Panella, Elio D. Di Claudio, Giovanni Jacovitti, Gianni Orlandi
2016	J	`jnl`	Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. IEEE Comput. Intell. Mag. Simone Scardapane, Massimo Panella, Danilo Comminiello, Amir Hussain, Aurelio Uncini
2016	B	`conf`	Distributed learning of Random Weights Fuzzy Neural Networks. FUZZ-IEEE Roberto Fierimonte, Marco Barbato, Antonello Rosato, Massimo Panella
2016	J	`jnl`	Distributed semi-supervised support vector machines. Neural Networks Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini
2016	B	`conf`	Distributed spectral clustering based on Euclidean distance matrix completion. IJCNN Simone Scardapane, Rosa Altilio, Massimo Panella, Aurelio Uncini
2016	J	`jnl`	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. Enzo Baccarelli, Nicola Cordeschi, Alessandro Mei, Massimo Panella, Mohammad Shojafar, Julinda Stefa
2016	J	`jnl`	Introduction to the special section on pervasive computing. Comput. Electr. Eng. Hamed Vahdat-Nejad, Massimo Panella, Gaëtan Rey
2016	—	`ch.`	Recent Advances on Distributed Unsupervised Learning. Advances in Neural Networks Antonello Rosato, Rosa Altilio, Massimo Panella
2015	J	`jnl`	Distributed learning for Random Vector Functional-Link networks. Inf. Sci. Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini
2015	B	`conf`	Distributed music classification using Random Vector Functional-Link nets. IJCNN Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini
2015	J	`jnl`	Fuzzy Clustering Using the Convex Hull as Geometrical Model. Adv. Fuzzy Syst. Luca Liparulo, Andrea Proietti, Massimo Panella
2015	B	`conf`	Improved online fuzzy clustering based on unconstrained kernels. FUZZ-IEEE Luca Liparulo, Andrea Proietti, Massimo Panella
2015	—	`conf`	Learning from Distributed Data Sources Using Random Vector Functional-Link Networks. INNS Conference on Big Data Simone Scardapane, Massimo Panella, Danilo Comminiello, Aurelio Uncini
2015	B	`conf`	Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting. IJCNN Tommaso Colombo, Irena Koprinska, Massimo Panella
2015	J	`jnl`	Multimedia and Gaming Technologies for Telerehabilitation of Motor Disabilities [Leading Edge]. IEEE Technol. Soc. Mag. Rosa Altilio, Luca Liparulo, Massimo Panella, Andrea Proietti, Marco Paoloni
2015	—	`ch.`	Time Series Analysis by Genetic Embedding and Neural Network Regression. Advances in Neural Networks Massimo Panella, Luca Liparulo, Andrea Proietti
2014	C	`conf`	A data driven circuit model for rechargeable batteries. ISCAS Massimo Panella, Andrea Proietti
2014	B	`conf`	A higher-order fuzzy neural network for modeling financial time series. IJCNN Massimo Panella, Luca Liparulo, Andrea Proietti
2013	B	`conf`	A study on crude oil prices modeled by neurofuzzy networks. FUZZ-IEEE Massimo Panella, Luca Liparulo, Francesco Barcellona, Rita Laura D'Ecclesia
2013	J	`jnl`	An Accurate Algorithm for the Identification of Fingertips Using an RGB-D Camera. IEEE J. Emerg. Sel. Topics Circuits Syst. Marco Maisto, Massimo Panella, Luca Liparulo, Andrea Proietti
2013	B	`conf`	Fuzzy membership functions based on point-to-polygon distance evaluation. FUZZ-IEEE Luca Liparulo, Andrea Proietti, Massimo Panella
2012	J	`jnl`	A Hierarchical Procedure for the Synthesis of ANFIS Networks. Adv. Fuzzy Syst. Massimo Panella
2012	J	`jnl`	Forecasting Energy Commodity Prices Using Neural Networks. Adv. Decis. Sci. Massimo Panella, Francesco Barcellona, Rita Laura D'Ecclesia
2012	—	`conf`	Subband prediction of energy commodity prices. SPAWC Massimo Panella, Francesco Barcellona, Rita Laura D'Ecclesia
2011	J	`jnl`	Advances in biological time series prediction by neural networks. Biomed. Signal Process. Control. Massimo Panella
2011	J	`jnl`	Neural networks with quantum architecture and quantum learning. Int. J. Circuit Theory Appl. Massimo Panella, Giuseppe Martinelli
2010	C	`conf`	A tuning procedure for the electric networks of PEM systems. ISCAS Massimo Panella, Fabio Massimo Frattale Mascioli
2009	J	`jnl`	Neurofuzzy Networks With Nonlinear Quantum Learning. IEEE Trans. Fuzzy Syst. Massimo Panella, Giuseppe Martinelli
2008	C	`conf`	Genre classification of compressed audio data. MMSP Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini
2007	—	`conf`	Binary Neuro-Fuzzy Classifiers Trained by Nonlinear Quantum Circuits. WILF Massimo Panella, Giuseppe Martinelli
2007	—	`conf`	Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks. WILF Fabio Massimo Frattale Mascioli, Antonello Rizzi, Massimo Panella, Claudia Bettiol
2007	—	`conf`	Source Localization in Reverberant Environments by Consistent Peak Selection. ICASSP (1) Raffaele Parisi, Albenzio Cirillo, Massimo Panella, Aurelio Uncini
2006	—	`conf`	Baseband Filter Banks for Neural Prediction. CIMCA/IAWTIC Massimo Panella, Antonello Rizzi
2006	—	`conf`	Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data. CIMCA/IAWTIC Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini
2006	C	`conf`	Symbolic analysis and optimization of piezo-electromechanical systems. ISCAS Massimo Panella, Maurizio Paschero, Fabio Massimo Frattale Mascioli
2005	—	`conf`	A modular RC-active network for vibration damping in piezo-electro-mechanical beams. ISCAS (6) Massimo Panella, Maurizio Paschero, Fabio Massimo Frattale Mascioli
2005	J	`jnl`	An input-output clustering approach to the synthesis of ANFIS networks. IEEE Trans. Fuzzy Syst. Massimo Panella, A. S. Gallo
2005	J	`jnl`	RC Distributed Circuits for Vibration Damping in Piezo-Electromechanical Beams. IEEE Trans. Circuits Syst. II Express Briefs Massimo Panella, Giuseppe Martinelli
2004	—	`conf`	A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal Subspaces. WIRN Massimo Panella, G. Grisanti, Antonello Rizzi
2004	B	`conf`	Estimation of bone mineral density data using MoG neural networks. IJCNN Antonello Rizzi, Massimo Panella, Maurizio Paschero, Fabio Massimo Frattale Mascioli
2004	J	`jnl`	From Circuits To Neurofuzzy Networks: Synthesis By Numerical And Linguistic Information. J. Circuits Syst. Comput. Massimo Panella, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli
2004	—	`conf`	Neural Network in Modeling Glucose-Insulin Behavior. WIRN Massimo Panella, Francesco Barcellona, Alberto Maria Bersani
2003	—	`conf`	A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow. WILF Massimo Panella, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli
2003	—	`conf`	ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction. WIRN Massimo Panella, Fabio Massimo Frattale Mascioli, Antonello Rizzi, Giuseppe Martinelli
2003	J	`jnl`	An RNS Architecture for Quasi-Chaotic Oscillators. J. VLSI Signal Process. Massimo Panella, Giuseppe Martinelli
2003	J	`jnl`	Refining accuracy of environmental data prediction by MoG neural networks. Neurocomputing Massimo Panella, Antonello Rizzi, Giuseppe Martinelli
2002	J	`jnl`	Adaptive resolution min-max classifiers. IEEE Trans. Neural Networks Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli
2002	B	`conf`	Automatic feature selection for adaptive resolution classifiers. FUZZ-IEEE Antonello Rizzi, Massimo Panella, F. M. Frattale Mascioli, Giuseppe Martinelli
2002	—	`conf`	Extended Random Neural Networks. WIRN Giuseppe Martinelli, Fabio Massimo Frattale Mascioli, Massimo Panella, Antonello Rizzi
2001	—	`conf`	Neurofuzzy Approximator based on Mamdani's Model. WIRN Fabio Massimo Frattale Mascioli, A. Mancini, Antonello Rizzi, Massimo Panella, Giuseppe Martinelli
2000	—	`conf`	A Recursive Algorithm for Fuzzy Min-Max Networks. IJCNN (6) Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli
2000	J	`jnl`	Scale-based approach to hierarchical fuzzy clustering. Signal Process. Fabio Massimo Frattale Mascioli, Antonello Rizzi, Massimo Panella, Giuseppe Martinelli
2000	—	`conf`	Scale-based clustering with latent variables. EUSIPCO F. M. Frattale Mascioli, Massimo Panella, Antonello Rizzi, Giuseppe Martinelli