Distributed Speech and Speaker Identification System for Personalized Domotic Control. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (mBiDA, 2014)

CARMA: A robust motion artifact reduction algorithm for heart rate monitoring from PPG signals. - Alessandro Baca; Giorgio Biagetti; Marta Camilletti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Luca Rossi 007; Dario Tonelli; Claudio Turchetti (EUSIPCO, 2015)

An algorithm for automatic words extraction from a stream of phones in dictionary-based large vocabulary continuous speech recognition systems. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (ISSPIT, 2015)

Distributed Speech Recognition for Lighting System Control. - Giorgio Biagetti; Paolo Crippa; Alessandro Curzi; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (KES-IDT, 2015)

A Rule Based Framework for Smart Training Using sEMG Signal. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (KES-IDT, 2015)

Improvement of RS-485 performance over long distances using the ToLHnet protocol. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Nicola Ortolani; Claudio Turchetti (WISES, 2015)

Discrete bessel functions for representing the class of finite duration decaying sequences. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Claudio Turchetti (EUSIPCO, 2016)

Motion Artifact Reduction in Photoplethysmography using Bayesian Classification for Physical Exercise Identification. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (ICPRAM, 2016)

Learning HMM State Sequences from Phonemes for Speech Synthesis. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (KES, 2016)

Multivariate Direction Scoring for Dimensionality Reduction in Classification Problems. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (KES-IDT (1), 2016)

An Efficient Technique for Real-Time Human Activity Classification Using Accelerometer Data. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (KES-IDT (1), 2016)

Wireless surface electromyograph and electrocardiograph system on 802.15.4. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (IEEE Trans. Consumer Electron., 2016)

A machine learning method to determine intrinsic dimension of time series data. - Claudio Turchetti; Laura Falaschetti (GlobalSIP, 2017)

A Portable Wireless sEMG and Inertial Acquisition System for Human Activity Monitoring. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (IWBBIO (2), 2017)

Speaker Identification in Noisy Conditions Using Short Sequences of Speech Frames. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (KES-IDT (2), 2017)

Human Activity Recognition Using Accelerometer and Photoplethysmographic Signals. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (KES-IDT (2), 2017)

Machine learning regression based on particle bernstein polynomials for nonlinear system identification. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Claudio Turchetti (MLSP, 2017)

Optimizing linear routing in the ToLHnet protocol to improve performance over long RS-485 buses. - Michele Alessandrini; Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (EURASIP J. Embed. Syst., 2017)

An Investigation on the Accuracy of Truncated DKLT Representation for Speaker Identification With Short Sequences of Speech Frames. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (IEEE Trans. Cybern., 2017)

Activity Monitoring and Phase Detection Using a Portable EMG/ECG System. - Wilhelm Daniel Scherz; Ralf Seepold; Natividad Martínez Madrid; Paolo Crippa; Giorgio Biagetti; Laura Falaschetti; Claudio Turchetti (ApplePies, 2018)

A GPU Parallel Algorithm for Non Parametric Tensor Learning. - Claudio Turchetti; Laura Falaschetti (ISSPIT, 2018)

An acquisition system of in-house parameters from wireless sensors for the identification of an environmental model. - Giorgio Biagetti; Diego Coccia; Paolo Crippa; Laura Falaschetti; Claudio Turchetti (KES, 2018)

A comparative study of machine learning algorithms for physiological signal classification. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Giulia Tanoni; Claudio Turchetti (KES, 2018)

HMM speech synthesis based on MDCT representation. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Claudio Turchetti (Int. J. Speech Technol., 2018)

Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Claudio Turchetti (Sensors, 2018)

A Machine Learning Approach to the Identification of Dynamical Nonlinear Systems. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Claudio Turchetti (EUSIPCO, 2019)

Classification of Alzheimer's Disease from Structural Magnetic Resonance Imaging using Particle-Bernstein Polynomials Algorithm. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simona Luzzi; Riccardo Santarelli; Claudio Turchetti (KES-IDT (2), 2019)

Recognition of Daily Human Activities Using Accelerometer and sEMG Signals. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simona Luzzi; Claudio Turchetti (KES-IDT (2), 2019)

Reduced complexity algorithm for heart rate monitoring from PPG signals using automatic activity intensity classifier. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simone Orcioni; Claudio Turchetti (Biomed. Signal Process. Control., 2019)

A manifold learning approach to dimensionality reduction for modeling data. - Claudio Turchetti; Laura Falaschetti (Inf. Sci., 2019)

A Comparative Study of Computational Methods for Compressed Sensing Reconstruction of EMG Signal. - Lorenzo Manoni; Claudio Turchetti; Laura Falaschetti; Paolo Crippa (Sensors, 2019)

Machine Learning and Data Fusion Techniques Applied to Physical Activity Classification Using Photoplethysmographic and Accelerometric Signals. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Edoardo Focante; Natividad Martínez Madrid; Ralf Seepold; Claudio Turchetti (KES, 2020)

An Effective Manifold Learning Approach to Parametrize Data for Generative Modeling of Biosignals. - Lorenzo Manoni; Claudio Turchetti; Laura Falaschetti (IEEE Access, 2020)

Principal Tensor Embedding for Unsupervised Tensor Learning. - Claudio Turchetti; Laura Falaschetti; Lorenzo Manoni (IEEE Access, 2020)

Classification of Alzheimer's Disease from EEG Signal Using Robust-PCA Feature Extraction. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simona Luzzi; Claudio Turchetti (KES, 2021)

A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN. - Laura Falaschetti; Lorenzo Manoni; Romel Calero Fuentes Rivera; Danilo Pau; Gianfranco Romanazzi; Oriana Silvestroni; Valeria Tomaselli; Claudio Turchetti (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Energy and Performance Analysis of Lossless Compression Algorithms for Wireless EMG Sensors. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Ali Mansour; Claudio Turchetti (Sensors, 2021)

Embedded AM-FM Signal Decomposition Algorithm for Continuous Human Activity Monitoring. - Giorgio Biagetti; Paolo Crippa; Dario Bocchini; Michele Alessandrini; Laura Falaschetti; Claudio Turchetti (KES, 2022)

ECG-Based Arrhythmia Classification using Recurrent Neural Networks in Embedded Systems. - Laura Falaschetti; Michele Alessandrini; Giorgio Biagetti; Paolo Crippa; Claudio Turchetti (KES, 2022)

A Lightweight CNN-Based Vision System for Concrete Crack Detection on a Low-Power Embedded Microcontroller Platform. - Laura Falaschetti; Mattia Beccerica; Giorgio Biagetti; Paolo Crippa; Michele Alessandrini; Claudio Turchetti (KES, 2022)

Wearable Acceleration-Based Human Activity Recognition Using AM-FM Signal Decomposition. - Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Michele Alessandrini; Claudio Turchetti (KES-IDT, 2022)

A Lightweight and Accurate RNN in Wearable Embedded Systems for Human Activity Recognition. - Laura Falaschetti; Giorgio Biagetti; Paolo Crippa; Michele Alessandrini; Di Filippo Giacomo; Claudio Turchetti (KES-IDT, 2022)

A Low-Rank CNN Architecture for Real-Time Semantic Segmentation in Visual SLAM Applications. - Laura Falaschetti; Lorenzo Manoni; Claudio Turchetti (IEEE Open J. Circuits Syst., 2022)

EEG-Based Alzheimer's Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network. - Michele Alessandrini; Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simona Luzzi; Claudio Turchetti (Sensors, 2022)

An U-Net Semantic Segmentation Vision System on a Low-Power Embedded Microcontroller Platform. - Laura Falaschetti; Sara Bruschi; Michele Alessandrini; Giorgio Biagetti; Paolo Crippa; Claudio Turchetti (KES, 2023)

EEG-Based Neurodegenerative Disease Classification using LSTM Neural Networks. - Michele Alessandrini; Giorgio Biagetti; Paolo Crippa; Laura Falaschetti; Simona Luzzi; Claudio Turchetti (SSP, 2023)

A Deep Learning Model for Correlation Analysis between Electroencephalography Signal and Speech Stimuli. - Michele Alessandrini; Laura Falaschetti; Giorgio Biagetti; Paolo Crippa; Simona Luzzi; Claudio Turchetti (Sensors, 2023)

FallsDatasetUNIVPM. - Lorenzo Palma; Sara Campanella; Alaa Alnasef; Alberto Belli; Paola Pierleoni; Laura Falaschetti (IEEE DataPort, 2024)

Embedded Real-Time Vehicle and Pedestrian Detection Using a Compressed Tiny YOLO v3 Architecture. - Laura Falaschetti; Lorenzo Manoni; Lorenzo Palma; Paola Pierleoni; Claudio Turchetti (IEEE Trans. Intell. Transp. Syst., 2024)

An AIoT System for Earthquake Early Warning on Resource Constrained Devices. - Marco Esposito; Alberto Belli; Laura Falaschetti; Lorenzo Palma; Paola Pierleoni (IEEE Internet Things J., 2025)