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2020 – today
- 2022
[c10]Pia Addabbo, Rosa Altilio, Dario Benvenuti, Goffredo Foglia, Danilo Orlando:
A NN-based Approach to ICM Estimation and Adaptive Target Detection. SAM 2022: 1-5- 2021
- [j6]Antonello Rosato, Rosa Altilio, Massimo Panella
:
A decentralized algorithm for distributed ensemble clustering. Inf. Sci. 578: 417-434 (2021) - [j5]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) - 2020
- [p3]Rosa Altilio, Giorgio Andreasi, Massimo Panella:
A Classification Approach to Modeling Financial Time Series. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 97-106
2010 – 2019
- 2019
- [j4]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) - [j3]Rosa Altilio, Paolo Di Lorenzo, Massimo Panella:
Distributed data clustering over networks. Pattern Recognit. 93: 603-620 (2019) - 2018
- [b1]Rosa Altilio:
Distributed Learning for Multiple Source Data. Sapienza University of Rome, Italy, 2018 - [c9]Rosa Altilio, Antonello Rosato, Massimo Panella:
A Sparse Bayesian Model for Random Weight Fuzzy Neural Networks. FUZZ-IEEE 2018: 1-7 - [c8]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 - [c7]Antonello Rosato, Rosa Altilio, Massimo Panella:
On-line Learning of RVFL Neural Networks on Finite Precision Hardware. ISCAS 2018: 1-5 - [p2]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
- [j2]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) - [c6]Rosa Altilio, Antonello Rosato, Massimo Panella:
A nonuniform quantizer for hardware implementation of neural networks. ECCTD 2017: 1-4 - [c5]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 - [c4]Roberto Fierimonte, Rosa Altilio, Massimo Panella:
Distributed on-line learning for random-weight fuzzy neural networks. FUZZ-IEEE 2017: 1-6 - [c3]Antonello Rosato, Rosa Altilio, Massimo Panella:
Finite precision implementation of random vector functional-link networks. DSP 2017: 1-5 - 2016
- [c2]Rosa Altilio, Luca Liparulo, Andrea Proietti, Marco Paoloni, Massimo Panella:
A genetic algorithm for feature selection in gait analysis. CEC 2016: 4584-4591 - [c1]Simone Scardapane, Rosa Altilio, Massimo Panella, Aurelio Uncini:
Distributed spectral clustering based on Euclidean distance matrix completion. IJCNN 2016: 3093-3100 - [p1]Antonello Rosato, Rosa Altilio, Massimo Panella:
Recent Advances on Distributed Unsupervised Learning. Advances in Neural Networks 2016: 77-86 - 2015
- [j1]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)
Coauthor Index
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