Laura Falaschetti

Orcid: 0000-0003-3183-7682

According to our database1, Laura Falaschetti authored at least 47 papers between 2014 and 2023.

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

Timeline

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Bibliography

2023
A Deep Learning Model for Correlation Analysis between Electroencephalography Signal and Speech Stimuli.
Sensors, October, 2023

EEG-Based Neurodegenerative Disease Classification using LSTM Neural Networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

An U-Net Semantic Segmentation Vision System on a Low-Power Embedded Microcontroller Platform.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022
EEG-Based Alzheimer's Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network.
Sensors, 2022

A Low-Rank CNN Architecture for Real-Time Semantic Segmentation in Visual SLAM Applications.
IEEE Open J. Circuits Syst., 2022

A Lightweight and Accurate RNN in Wearable Embedded Systems for Human Activity Recognition.
Proceedings of the Intelligent Decision Technologies, 2022

Wearable Acceleration-Based Human Activity Recognition Using AM-FM Signal Decomposition.
Proceedings of the Intelligent Decision Technologies, 2022

A Lightweight CNN-Based Vision System for Concrete Crack Detection on a Low-Power Embedded Microcontroller Platform.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

ECG-Based Arrhythmia Classification using Recurrent Neural Networks in Embedded Systems.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Embedded AM-FM Signal Decomposition Algorithm for Continuous Human Activity Monitoring.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021
Energy and Performance Analysis of Lossless Compression Algorithms for Wireless EMG Sensors.
Sensors, 2021

A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

Classification of Alzheimer's Disease from EEG Signal Using Robust-PCA Feature Extraction.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020
Principal Tensor Embedding for Unsupervised Tensor Learning.
IEEE Access, 2020

An Effective Manifold Learning Approach to Parametrize Data for Generative Modeling of Biosignals.
IEEE Access, 2020

Machine Learning and Data Fusion Techniques Applied to Physical Activity Classification Using Photoplethysmographic and Accelerometric Signals.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019
A Comparative Study of Computational Methods for Compressed Sensing Reconstruction of EMG Signal.
Sensors, 2019

A manifold learning approach to dimensionality reduction for modeling data.
Inf. Sci., 2019

Reduced complexity algorithm for heart rate monitoring from PPG signals using automatic activity intensity classifier.
Biomed. Signal Process. Control., 2019

Recognition of Daily Human Activities Using Accelerometer and sEMG Signals.
Proceedings of the Intelligent Decision Technologies 2019, 2019

Classification of Alzheimer's Disease from Structural Magnetic Resonance Imaging using Particle-Bernstein Polynomials Algorithm.
Proceedings of the Intelligent Decision Technologies 2019, 2019

A Machine Learning Approach to the Identification of Dynamical Nonlinear Systems.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization.
Sensors, 2018

HMM speech synthesis based on MDCT representation.
Int. J. Speech Technol., 2018

A comparative study of machine learning algorithms for physiological signal classification.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

An acquisition system of in-house parameters from wireless sensors for the identification of an environmental model.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

A GPU Parallel Algorithm for Non Parametric Tensor Learning.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Activity Monitoring and Phase Detection Using a Portable EMG/ECG System.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2018

2017
An Investigation on the Accuracy of Truncated DKLT Representation for Speaker Identification With Short Sequences of Speech Frames.
IEEE Trans. Cybern., 2017

Optimizing linear routing in the ToLHnet protocol to improve performance over long RS-485 buses.
EURASIP J. Embed. Syst., 2017

Machine learning regression based on particle bernstein polynomials for nonlinear system identification.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Human Activity Recognition Using Accelerometer and Photoplethysmographic Signals.
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

Speaker Identification in Noisy Conditions Using Short Sequences of Speech Frames.
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

A Portable Wireless sEMG and Inertial Acquisition System for Human Activity Monitoring.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

A machine learning method to determine intrinsic dimension of time series data.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Wireless surface electromyograph and electrocardiograph system on 802.15.4.
IEEE Trans. Consumer Electron., 2016

An Efficient Technique for Real-Time Human Activity Classification Using Accelerometer Data.
Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016

Multivariate Direction Scoring for Dimensionality Reduction in Classification Problems.
Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016

Learning HMM State Sequences from Phonemes for Speech Synthesis.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

Motion Artifact Reduction in Photoplethysmography using Bayesian Classification for Physical Exercise Identification.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Discrete bessel functions for representing the class of finite duration decaying sequences.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Improvement of RS-485 performance over long distances using the ToLHnet protocol.
Proceedings of the 12th International Workshop on Intelligent Solutions in Embedded Systems, 2015

A Rule Based Framework for Smart Training Using sEMG Signal.
Proceedings of the Intelligent Decision Technologies, 2015

Distributed Speech Recognition for Lighting System Control.
Proceedings of the Intelligent Decision Technologies, 2015

An algorithm for automatic words extraction from a stream of phones in dictionary-based large vocabulary continuous speech recognition systems.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

CARMA: A robust motion artifact reduction algorithm for heart rate monitoring from PPG signals.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Distributed Speech and Speaker Identification System for Personalized Domotic Control.
Proceedings of the Mobile Networks for Biometric Data Analysis, 2014


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