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2020 – today
- 2025
[j43]Federico Succetti, Antonello Rosato, Massimo Panella:
Multi-label classification with imbalanced classes by fuzzy deep neural networks. Integr. Comput. Aided Eng. 32(1): 23-36 (2025)- 2024
- [j42]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): 2450005:1-2450005:16 (2024) - [j41]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): 9885-9899 (2024) - [c58]Federica Angeletti, Federico Succetti, Massimo Panella, Antonello Rosato:
A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications. CEC 2024: 1-8 - [c57]Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella:
A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm. IJCNN 2024: 1-8 - [i8]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 abs/2407.14859 (2024) - [i7]Francesco Di Luzio, Antonello Rosato, Massimo Panella:
An Explainable Fast Deep Neural Network for Emotion Recognition. CoRR abs/2407.14865 (2024) - [i6]Andrea Ceschini, Francesco Mauro, Francesca De Falco, Alessandro Sebastianelli, Alessio Verdone, Antonello Rosato, Bertrand Le Saux, Massimo Panella, Paolo Gamba, Silvia Liberata Ullo:
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks. CoRR abs/2408.06524 (2024) - [i5]Eleonora Lopez, Luigi Sigillo, Federica Colonnese, Massimo Panella, Danilo Comminiello:
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models. CoRR abs/2410.02780 (2024) - [i4]Lorenzo Bergadano, Andrea Ceschini, Pietro Chiavassa, Edoardo Giusto, Bartolomeo Montrucchio, Massimo Panella, Antonello Rosato:
Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency. CoRR abs/2410.02998 (2024) - 2023
- [j40]Francesco Di Luzio, Antonello Rosato, Massimo Panella:
A randomized deep neural network for emotion recognition with landmarks detection. Biomed. Signal Process. Control. 81: 104418 (2023) - [j39]Andrea Ceschini, Antonello Rosato, Massimo Panella:
Modular quantum circuits for secure communication. IET Quantum Commun. 4(4): 208-217 (2023) - [j38]Federico Succetti, Antonello Rosato, Massimo Panella:
An adaptive embedding procedure for time series forecasting with deep neural networks. Neural Networks 167: 715-729 (2023) - [j37]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): 1-24 (2023) - [j36]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): 368 (2023) - [j35]Federica Angeletti, Paolo Gasbarri, Massimo Panella, Antonello Rosato:
Multi-Damage Detection in Composite Space Structures via Deep Learning. Sensors 23(17): 7515 (2023) - [c56]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: 1-6 - [c55]Federica Colonnese, Francecso Di Luzio, Antonello Rosato, Massimo Panella:
Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection. IWANN (2) 2023: 364-375 - [c54]Francesco Di Luzio, Alessandro Paiardini, Federica Colonnese, Antonello Rosato, Massimo Panella:
A Deep Neural Network for G-Quadruplexes Binding Proteins Classification. IWANN (1) 2023: 517-528 - 2022
- [j34]Tiziana Catena, Vincenzo Eramo, Massimo Panella, Antonello Rosato:
Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures. Comput. Networks 213: 109111 (2022) - [j33]Andrea Ceschini, Antonello Rosato, Massimo Panella:
Design of an LSTM Cell on a Quantum Hardware. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1822-1826 (2022) - [c53]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: 29-43 - [c52]Federico Succetti, Antonello Rosato, Massimo Panella:
Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks. AII 2022: 404-418 - [c51]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: 167-173 - [c50]Andrea Ceschini, Antonello Rosato, Massimo Panella:
Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction. IJCNN 2022: 1-8 - [c49]Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko:
Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing. IJCNN 2022: 1-8 - [c48]Alessio Verdone, Simone Scardapane, Massimo Panella:
Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks. IJCNN 2022: 1-8 - 2021
- [j32]Antonello Rosato, Rosa Altilio, Massimo Panella:
A decentralized algorithm for distributed ensemble clustering. Inf. Sci. 578: 417-434 (2021) - [j31]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): 535-546 (2021) - [j30]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): 1428-1432 (2021) - [c47]Ray Walshe, Ansgar Koene, Sabine Baumann, Massimo Panella, Leandros Maglaras, Francisco Petrônio Alencar de Medeiros:
Artificial Intelligence as Enabler for Sustainable Development. ICE/ITMC 2021: 1-7 - [c46]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: 1-7 - [c45]Antonello Rosato, Massimo Panella, Denis Kleyko:
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. IJCNN 2021: 1-10 - [c44]Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko:
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. IWANN (2) 2021: 155-167 - [c43]Federico Succetti, Andrea Ceschini, Francesco Di Luzio, Antonello Rosato, Massimo Panella:
Time Series Prediction with Autoencoding LSTM Networks. IWANN (2) 2021: 306-317 - [i3]Antonello Rosato, Massimo Panella, Denis Kleyko:
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. CoRR abs/2106.00881 (2021) - [i2]Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko:
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. CoRR abs/2106.09831 (2021) - 2020
- [j29]Federico Succetti, Antonello Rosato, Rodolfo Araneo, Massimo Panella:
Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series. IEEE Access 8: 211490-211505 (2020) - [c42]Antonello Rosato, Rodolfo Araneo, Massimo Panella:
Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding. CEC 2020: 1-8 - [c41]Antonello Rosato, Massimo Panella:
Time Series Prediction Using Random Weights Fuzzy Neural Networks. FUZZ-IEEE 2020: 1-6 - [c40]Antonello Rosato, Federico Succetti, Marcello Barbirotta, Massimo Panella:
ADMM Consensus for Deep LSTM Networks. IJCNN 2020: 1-8 - [p6]Rosa Altilio, Giorgio Andreasi, Massimo Panella:
A Classification Approach to Modeling Financial Time Series. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 97-106 - [p5]Pietro Russo, Massimo Panella:
Inverse Classification for Military Decision Support Systems. Neural Approaches to Dynamics of Signal Exchanges 2020: 157-166 - [i1]Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer:
Perceptron Theory for Predicting the Accuracy of Neural Networks. CoRR abs/2012.07881 (2020)
2010 – 2019
- 2019
- [j28]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): 25-29 (2019) - [j27]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): 1617-1627 (2019) - [j26]Rosa Altilio, Paolo Di Lorenzo, Massimo Panella:
Distributed data clustering over networks. Pattern Recognit. 93: 603-620 (2019) - [c39]Massimo Panella, Antonello Rosato:
A Training Procedure for Quantum Random Vector Functional-link Networks. ICASSP 2019: 7973-7977 - 2018
- [c38]Rosa Altilio, Antonello Rosato, Massimo Panella:
A Sparse Bayesian Model for Random Weight Fuzzy Neural Networks. FUZZ-IEEE 2018: 1-7 - [c37]Hieda Adriana Nascimento Silva, Antonello Rosato, Rosa Altilio, Massimo Panella:
Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing. IJCNN 2018: 1-6 - [c36]Antonello Rosato, Rosa Altilio, Massimo Panella:
On-line Learning of RVFL Neural Networks on Finite Precision Hardware. ISCAS 2018: 1-5 - [p4]Simone Scardapane, Rosa Altilio, Valentina Ciccarelli, Aurelio Uncini, Massimo Panella:
Privacy-Preserving Data Mining for Distributed Medical Scenarios. Multidisciplinary Approaches to Neural Computing 2018: 119-128 - 2017
- [j25]Rosa Altilio, Marco Paoloni, Massimo Panella:
Selection of clinical features for pattern recognition applied to gait analysis. Medical Biol. Eng. Comput. 55(4): 685-695 (2017) - [j24]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): 1367-1378 (2017) - [j23]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): 2699-2711 (2017) - [c35]Rosa Altilio, Antonello Rosato, Massimo Panella:
A nonuniform quantizer for hardware implementation of neural networks. ECCTD 2017: 1-4 - [c34]Rosa Altilio, Antonello Rosato, Massimo Panella:
A new learning approach for Takagi-Sugeno fuzzy systems applied to time series prediction. FUZZ-IEEE 2017: 1-6 - [c33]Roberto Fierimonte, Rosa Altilio, Massimo Panella:
Distributed on-line learning for random-weight fuzzy neural networks. FUZZ-IEEE 2017: 1-6 - [c32]Antonello Rosato, Rosa Altilio, Massimo Panella:
Finite precision implementation of random vector functional-link networks. DSP 2017: 1-5 - 2016
- [j22]Hamed Vahdat-Nejad, Massimo Panella, Gaëtan Rey:
Introduction to the special section on pervasive computing. Comput. Electr. Eng. 55: 24-26 (2016) - [j21]Simone Scardapane, Massimo Panella, Danilo Comminiello, Amir Hussain, Aurelio Uncini:
Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. IEEE Comput. Intell. Mag. 11(4): 59-70 (2016) - [j20]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): 54-61 (2016) - [j19]Simone Scardapane, Dianhui Wang, Massimo Panella:
A decentralized training algorithm for Echo State Networks in distributed big data applications. Neural Networks 78: 65-74 (2016) - [j18]Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini:
Distributed semi-supervised support vector machines. Neural Networks 80: 43-52 (2016) - [j17]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): 893-901 (2016) - [c31]Rosa Altilio, Luca Liparulo, Andrea Proietti, Marco Paoloni, Massimo Panella:
A genetic algorithm for feature selection in gait analysis. CEC 2016: 4584-4591 - [c30]Roberto Fierimonte, Marco Barbato, Antonello Rosato, Massimo Panella:
Distributed learning of Random Weights Fuzzy Neural Networks. FUZZ-IEEE 2016: 2287-2294 - [c29]Andrea Proietti, Massimo Panella, Elio D. Di Claudio, Giovanni Jacovitti, Gianni Orlandi:
Classification of Dust Elements by Spatial Geometric Features. ICPRAM 2016: 247-254 - [c28]Simone Scardapane, Rosa Altilio, Massimo Panella, Aurelio Uncini:
Distributed spectral clustering based on Euclidean distance matrix completion. IJCNN 2016: 3093-3100 - [p3]Antonello Rosato, Rosa Altilio, Massimo Panella:
Recent Advances on Distributed Unsupervised Learning. Advances in Neural Networks 2016: 77-86 - [p2]Roberto Fierimonte, Simone Scardapane, Massimo Panella, Aurelio Uncini:
A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks. Advances in Neural Networks 2016: 143-152 - 2015
- [j16]Luca Liparulo, Andrea Proietti, Massimo Panella:
Fuzzy Clustering Using the Convex Hull as Geometrical Model. Adv. Fuzzy Syst. 2015 (2015) - [j15]Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed learning for Random Vector Functional-Link networks. Inf. Sci. 301: 271-284 (2015) - [j14]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): 23-30 (2015) - [c27]Luca Liparulo, Andrea Proietti, Massimo Panella:
Improved online fuzzy clustering based on unconstrained kernels. FUZZ-IEEE 2015: 1-8 - [c26]Tommaso Colombo, Irena Koprinska, Massimo Panella:
Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting. IJCNN 2015: 1-8 - [c25]Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed music classification using Random Vector Functional-Link nets. IJCNN 2015: 1-8 - [c24]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: 468-477 - [p1]Massimo Panella, Luca Liparulo, Andrea Proietti:
Time Series Analysis by Genetic Embedding and Neural Network Regression. Advances in Neural Networks 2015: 21-29 - 2014
- [c23]Massimo Panella, Luca Liparulo, Andrea Proietti:
A higher-order fuzzy neural network for modeling financial time series. IJCNN 2014: 3066-3073 - [c22]Massimo Panella, Andrea Proietti:
A data driven circuit model for rechargeable batteries. ISCAS 2014: 626-629 - 2013
- [j13]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): 272-283 (2013) - [c21]Luca Liparulo, Andrea Proietti, Massimo Panella:
Fuzzy membership functions based on point-to-polygon distance evaluation. FUZZ-IEEE 2013: 1-8 - [c20]Massimo Panella, Luca Liparulo, Francesco Barcellona, Rita Laura D'Ecclesia:
A study on crude oil prices modeled by neurofuzzy networks. FUZZ-IEEE 2013: 1-7 - 2012
- [j12]Massimo Panella:
A Hierarchical Procedure for the Synthesis of ANFIS Networks. Adv. Fuzzy Syst. 2012: 491237:1-491237:12 (2012) - [j11]Massimo Panella, Francesco Barcellona, Rita Laura D'Ecclesia:
Forecasting Energy Commodity Prices Using Neural Networks. Adv. Decis. Sci. 2012: 289810:1-289810:26 (2012) - [c19]Massimo Panella, Francesco Barcellona, Rita Laura D'Ecclesia:
Subband prediction of energy commodity prices. SPAWC 2012: 495-499 - 2011
- [j10]Massimo Panella:
Advances in biological time series prediction by neural networks. Biomed. Signal Process. Control. 6(2): 112-120 (2011) - [j9]Massimo Panella, Giuseppe Martinelli:
Neural networks with quantum architecture and quantum learning. Int. J. Circuit Theory Appl. 39(1): 61-77 (2011) - 2010
- [c18]Massimo Panella, Fabio Massimo Frattale Mascioli:
A tuning procedure for the electric networks of PEM systems. ISCAS 2010: 3272-3275
2000 – 2009
- 2009
- [j8]Massimo Panella, Giuseppe Martinelli:
Neurofuzzy Networks With Nonlinear Quantum Learning. IEEE Trans. Fuzzy Syst. 17(3): 698-710 (2009) - 2008
- [c17]Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini:
Genre classification of compressed audio data. MMSP 2008: 654-659 - 2007
- [c16]Raffaele Parisi, Albenzio Cirillo, Massimo Panella, Aurelio Uncini:
Source Localization in Reverberant Environments by Consistent Peak Selection. ICASSP (1) 2007: 37-40 - [c15]Massimo Panella, Giuseppe Martinelli:
Binary Neuro-Fuzzy Classifiers Trained by Nonlinear Quantum Circuits. WILF 2007: 237-244 - [c14]Fabio Massimo Frattale Mascioli, Antonello Rizzi, Massimo Panella, Claudia Bettiol:
Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks. WILF 2007: 253-260 - 2006
- [c13]Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini:
Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data. CIMCA/IAWTIC 2006: 210 - [c12]Massimo Panella, Antonello Rizzi:
Baseband Filter Banks for Neural Prediction. CIMCA/IAWTIC 2006: 221 - [c11]Massimo Panella, Maurizio Paschero, Fabio Massimo Frattale Mascioli:
Symbolic analysis and optimization of piezo-electromechanical systems. ISCAS 2006 - 2005
- [j7]Massimo Panella, Giuseppe Martinelli:
RC Distributed Circuits for Vibration Damping in Piezo-Electromechanical Beams. IEEE Trans. Circuits Syst. II Express Briefs 52-II(8): 486-490 (2005) - [j6]Massimo Panella, A. S. Gallo:
An input-output clustering approach to the synthesis of ANFIS networks. IEEE Trans. Fuzzy Syst. 13(1): 69-81 (2005) - [c10]Massimo Panella, Maurizio Paschero, Fabio Massimo Frattale Mascioli:
A modular RC-active network for vibration damping in piezo-electro-mechanical beams. ISCAS (6) 2005: 5393-5396 - 2004
- [j5]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): 205-236 (2004) - [c9]Massimo Panella, G. Grisanti, Antonello Rizzi:
A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal Subspaces. WIRN 2004: 271-279 - [c8]Massimo Panella, Francesco Barcellona, Alberto Maria Bersani:
Neural Network in Modeling Glucose-Insulin Behavior. WIRN 2004: 367-374 - 2003
- [j4]Massimo Panella, Antonello Rizzi, Giuseppe Martinelli:
Refining accuracy of environmental data prediction by MoG neural networks. Neurocomputing 55(3-4): 521-549 (2003) - [j3]Massimo Panella, Giuseppe Martinelli:
An RNS Architecture for Quasi-Chaotic Oscillators. J. VLSI Signal Process. 33(1-2): 199-220 (2003) - [c7]Massimo Panella, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli:
A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow. WILF 2003: 110-118 - [c6]Massimo Panella, Fabio Massimo Frattale Mascioli, Antonello Rizzi, Giuseppe Martinelli:
ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction. WIRN 2003: 77-84 - 2002
- [j2]Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli:
Adaptive resolution min-max classifiers. IEEE Trans. Neural Networks 13(2): 402-414 (2002) - [c5]Antonello Rizzi, Massimo Panella, F. M. Frattale Mascioli, Giuseppe Martinelli:
Automatic feature selection for adaptive resolution classifiers. FUZZ-IEEE 2002: 384-389 - [c4]Giuseppe Martinelli, Fabio Massimo Frattale Mascioli, Massimo Panella, Antonello Rizzi:
Extended Random Neural Networks. WIRN 2002: 75-82 - 2001
- [c3]Fabio Massimo Frattale Mascioli, A. Mancini, Antonello Rizzi, Massimo Panella, Giuseppe Martinelli:
Neurofuzzy Approximator based on Mamdani's Model. WIRN 2001: 23-59 - 2000
- [j1]Fabio Massimo Frattale Mascioli, Antonello Rizzi, Massimo Panella, Giuseppe Martinelli:
Scale-based approach to hierarchical fuzzy clustering. Signal Process. 80(6): 1001-1016 (2000) - [c2]F. M. Frattale Mascioli, Massimo Panella, Antonello Rizzi, Giuseppe Martinelli:
Scale-based clustering with latent variables. EUSIPCO 2000: 1-4 - [c1]Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli:
A Recursive Algorithm for Fuzzy Min-Max Networks. IJCNN (6) 2000: 541-546
Coauthor Index
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