Michele Alessandrini

According to our database, Michele Alessandrini authored at least 13 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, October, 2023

EEG-Based Neurodegenerative Disease Classification using LSTM Neural Networks.

Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Simona Luzzi, Claudio Turchetti

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

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

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.

Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Simona Luzzi, Claudio Turchetti

Sensors, 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

Proceedings of the Intelligent Decision Technologies, 2022

Wearable Acceleration-Based Human Activity Recognition Using AM-FM Signal Decomposition.

Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Michele Alessandrini, Claudio Turchetti

Proceedings of the Intelligent Decision Technologies, 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

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.

Laura Falaschetti, Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, Claudio Turchetti

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.

Giorgio Biagetti, Paolo Crippa, Dario Bocchini, Michele Alessandrini, Laura Falaschetti, Claudio Turchetti

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

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

2011

Semi-Automatic Acoustic Model Generation from Large Unsynchronized Audio and Text Chunks.

Michele Alessandrini, Giorgio Biagetti, Alessandro Curzi, Claudio Turchetti

Proceedings of the INTERSPEECH 2011, 2011

2004

SiSMA-a tool for efficient analysis of analog CMOS integrated circuits affected by device mismatch.

Giorgio Biagetti, Simone Orcioni, Claudio Turchetti, Paolo Crippa, Michele Alessandrini

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2004

2002

SiSMA: a statistical simulator for mismatch analysis of MOS ICs.

Giorgio Biagetti, Simone Orcioni, L. Signoracci, Claudio Turchetti, Paolo Crippa, Michele Alessandrini

Proceedings of the 2002 IEEE/ACM International Conference on Computer-aided Design, 2002