Edge AI publications
Explore a selection of ST publications on edge AI
| Title | Authors | Publication | |
|---|---|---|---|
| Accurate classification of sport activities under tiny deployability constraints | Armin Mazinani, Luca Davoli, Danilo Pietro Pau, Gianluigi Ferrari | IEEE | |
| Tiny machine learning business intelligence in the semiconductor industry: A case study | Martina Casiroli, Danilo Pietro Pau | IEEE | |
| Developing a TinyML Image Classifier in an Hour | D. P. Pau and F. Bellotti R. Berta, A. Dabbous, L. Lazzaroni | IEEE | |
| Object classification using ultra low resolution time-of-flight sensor and tiny convolutional neural network | Andrea Fasolino, Paola Vitolo, Rosalba Liguori, Luigi Di Benedetto, Alfredo Rubino, Gian Domenico Licciardo, Danilo Pau | IEEE | |
| A Tiny Deep Learning Model for Sleep Apnea Detection Based on ECG Signals | M Scarpetta, MA Ragolia, DP Pau, G Andria, N Giaquinto | IEEE | |
| Expanding The Horizons of Generative Edge AI: Mission, Vision, and Insights From Industries | Roberto Morabito, Riccardo Adorante, Hajar Mousannif, Danilo Pietro Pau | Authorea Preprints | |
| Air Quality Prediction via Embedded ML/DL and Quantized Models | A Mazinani, D Antonucci, DP Pau, L Davoli, G Ferrari | IEEE | |
| Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks | Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari | IJCNN | |
| Ultra-Tiny Neural Network for Compensation of Post-soldering Thermal Drift in MEMS Pressure Sensors | Gian Domenico Licciardo, Paola Vitolo, Stefano Bosco, Santo Pennino, Danilo Pau, Massimo Pesaturo, Luigi Di Benedetto, Rosalba Liguori | IEEE ISCAS | |
| SRAM-Based All-Digital Up to 4b In-Memory Computing Multi-Tiled NN Accelerator in FD-SOI 18nm for Deep-Learning Edge Applications | G. Desoli et al. | IEEE ISSCC | |
| End to End Optimized Tiny Learning for Repositionable Walls in Maze Topologies | Danilo Pau, Stefano Colella and Claudio Marchisio | IEEE ICCE | |
| TinyRCE: Forward Learning Under Tiny Constraints | Danilo Pau, Prem Kumar Ambrose | tinyML® Research Symposium | |
| A 0.8 mW TinyML-Based PDM-to-PCM Conversion for In-Sensor KWS Applications | Paola Vitolo, Rosalba Liguori, Luigi Di Benedetto, Alfredo Rubino, Danilo Pau, Gian Domenico | Licciardo Conference paper | |
| Tiny Neural Network Pipeline for Vocal Commands Recognition @Edge | Ivana Guarneri, Alessandro Lauria, Giovanni Maria Farinella,Corrado Santoro | HUCAPP | |
| A quantitative review of automated neural search and on-device learning for tiny devices | Danilo Pau, Prem Kumar Ambrose | Ital-AI | |
| Hybrid Quantization for Vocal Commands Recognition on Microcontroller | Ivana Guarneri, Viviana D'Alto, Danilo Pau, Marco Lattuada | TinyML Summit | |
| Tiny decomposition of complex neural networks for heterogeneous microcontrollers | Biagio Montaruli, Andrea Santamaria, Danilo Pau | TinyML Summit | |
| Complexity bounded classification of fisheye distorted objects with micro-controllers | Danilo Pau | TinyML Summit | |
| Deep open-set recognition for silicon wafer production monitoring | Luca Frittoli, Diego Carrera, Giacomo Boracchi | Pattern Recognition Journal | |
| Practical Artificial Intelligence for the IoT | Danilo Pau | IEEE Internet of Things | |
| Constrained neural networks for thermal vision | Massimiliano Galanti, Danilo Pau , Matteo Matteucci | tinyML EMEA | |
| Intelligent Resource Constrained Battery Management on Automotive | D. Sammartino, Pau , Denaro, Zambrano | GCCE | |
| Resource Constrained Neural Networks for 5G Direction-of-Arrival Estimation in Micro-controllers | Piyush Sahoo, Romesh Rajoria , Shivam Chandhok, S. J. Darak, Danilo Pau , Hem-Dutt Dabral | AIMLSystems | |
| Synthetic image dataset of shaft junctions inside wind turbines in presence or absence of oil leaks | Pau, Lattuada , Turchetti, Falaschetti, Cardoni | Data in Brief | |
| Multimodal AI-based security at the edge (MAISE) | José Cano, Jeremy Singer , Sye Loong Keoh, Ferheen Ayaz , Danilo Pau | PETRAS | |
| Change Detection in Multivariate Datastreams Controlling False Alarms | Luca Frittoli, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi | Polytechnic University of Milano, STMicroelectronics. | |
| Exploiting History Data for Nonstationary Multi-armed Bandit | Gerlando Re, Fabio Chiusano, Francesco Trovò, Diego Carrera, Giacomo Boracchi, Marcello Restelli | Proceedings of European Conference on Machine Learning (ECML) 2021 | |
| A grapevine leaves dataset for early detection and classification of Esca disease in vineyards through machine learning | M. Alessandrini, R. C. Fuentes Rivera, L. Falaschettia, D. Pau, V Tomaselli, C Turchetti | Data in Brief, Jan 2021 | |
| Change Detection in Multivariate Datastreams Controlling False Alarms | Luca Frittoli, Diego Carrera, Giacomo Boracchi | Proceedings of European Conference on Machine Learning (ECML) 2021 | |
| Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers | Danilo Pau, Davide Denaro, Luigi Zambrano, Giuseppe Di Giore (STM); Giulia Crocioni; Gian Battista Gruosso (Politecnico di Milano) | First International Research Symposium on Tiny Machine Learning (TinyML 2021) |
Armin Mazinani, Luca Davoli, Danilo Pietro Pau, Gianluigi Ferrari
IEEE
Martina Casiroli, Danilo Pietro Pau
IEEE
D. P. Pau and F. Bellotti R. Berta, A. Dabbous, L. Lazzaroni
IEEE
Object classification using ultra low resolution time-of-flight sensor and tiny convolutional neural network
Andrea Fasolino, Paola Vitolo, Rosalba Liguori, Luigi Di Benedetto, Alfredo Rubino, Gian Domenico Licciardo, Danilo Pau
IEEE
M Scarpetta, MA Ragolia, DP Pau, G Andria, N Giaquinto
IEEE
Roberto Morabito, Riccardo Adorante, Hajar Mousannif, Danilo Pietro Pau
Authorea Preprints
A Mazinani, D Antonucci, DP Pau, L Davoli, G Ferrari
IEEE
Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari
IJCNN
Gian Domenico Licciardo, Paola Vitolo, Stefano Bosco, Santo Pennino, Danilo Pau, Massimo Pesaturo, Luigi Di Benedetto, Rosalba Liguori
IEEE ISCAS
SRAM-Based All-Digital Up to 4b In-Memory Computing Multi-Tiled NN Accelerator in FD-SOI 18nm for Deep-Learning Edge Applications
G. Desoli et al.
IEEE ISSCC
Danilo Pau, Stefano Colella and Claudio Marchisio
IEEE ICCE
Danilo Pau, Prem Kumar Ambrose
tinyML® Research Symposium
Paola Vitolo, Rosalba Liguori, Luigi Di Benedetto, Alfredo Rubino, Danilo Pau, Gian Domenico
Licciardo Conference paper
Ivana Guarneri, Alessandro Lauria, Giovanni Maria Farinella,Corrado Santoro
HUCAPP
Danilo Pau, Prem Kumar Ambrose
Ital-AI
Ivana Guarneri, Viviana D'Alto, Danilo Pau, Marco Lattuada
TinyML Summit
Biagio Montaruli, Andrea Santamaria, Danilo Pau
TinyML Summit
Danilo Pau
TinyML Summit
Luca Frittoli, Diego Carrera, Giacomo Boracchi
Pattern Recognition Journal
Massimiliano Galanti, Danilo Pau , Matteo Matteucci
tinyML EMEA
D. Sammartino, Pau , Denaro, Zambrano
GCCE
Piyush Sahoo, Romesh Rajoria , Shivam Chandhok, S. J. Darak, Danilo Pau , Hem-Dutt Dabral
AIMLSystems
Pau, Lattuada , Turchetti, Falaschetti, Cardoni
Data in Brief
José Cano, Jeremy Singer , Sye Loong Keoh, Ferheen Ayaz , Danilo Pau
PETRAS
Luca Frittoli, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi
Polytechnic University of Milano, STMicroelectronics.
Gerlando Re, Fabio Chiusano, Francesco Trovò, Diego Carrera, Giacomo Boracchi, Marcello Restelli
Proceedings of European Conference on Machine Learning (ECML) 2021
A grapevine leaves dataset for early detection and classification of Esca disease in vineyards through machine learning
M. Alessandrini, R. C. Fuentes Rivera, L. Falaschettia, D. Pau, V Tomaselli, C Turchetti
Data in Brief, Jan 2021
Luca Frittoli, Diego Carrera, Giacomo Boracchi
Proceedings of European Conference on Machine Learning (ECML) 2021
Danilo Pau, Davide Denaro, Luigi Zambrano, Giuseppe Di Giore (STM); Giulia Crocioni; Gian Battista Gruosso (Politecnico di Milano)
First International Research Symposium on Tiny Machine Learning (TinyML 2021)