Rosa Altilio

According to our database1, Rosa Altilio authored at least 20 papers between 2015 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
A NN-based Approach to ICM Estimation and Adaptive Target Detection.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

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

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

2019
Distributed data clustering over networks.
Pattern Recognit., 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

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

Distributed Learning for Multiple Source Data.
PhD thesis, 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
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

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

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

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


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