Artificial Intelligence papers

ST-Published papers on Artificial Intelligence

2021

“Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers”, D Pau, M Lattuada, F Loro, A De Vita, GD Licciardo, 2021 IEEE International Conference on Consumer Electronics (ICCE)
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“Tiny Defects Identification of Mechanical Components in Die-Cast Aluminum Using Artificial Neural Networks for Micro-Controllers”, D Pau, F Previdi, E Rota, 2021 IEEE International Conference on Consumer Electronics (ICCE)
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"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
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Deep Learning Localization with 2D Range Scanner; Giuseppe Spampinato, Arcangelo Ranieri Bruna, Ivana Guarneri, Davide Giacalone - 2021 International Conference on Automation, Robotics and Applications (ICARA 2021)
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Low Cost Point to Point Navigation System; Giuseppe Spampinato, Arcangelo Ranieri Bruna, Davide Giacalone, Giuseppe Messina - 2021 International Conference on Automation, Robotics and Applications (ICARA 2021)
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A Deep Learning Short Commands Recognition for MCU in robotics applications; Ivana Guarneri, Giuseppe Messina, Arcangelo Bruna, Davide Giacalone - 2021 International Conference on Automation, Robotics and Applications (ICARA 2021)
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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)
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Tiny visual classification of sodium chloride sterile bottles fill level on STM32; Danilo Pau, Luca Simonetta - GTTI-MMSP Thematic Meeting 2021 on Multimedia Signal Processing
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"Automating Tiny Neural Network Design with MCU Deployability in the Loop", Danilo Pau, 2021 DATE Conference
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2020

Strengthening Sequential Side-Channel Attacks Through Change Detection
Luca Frittoli, Matteo Bocchi, Silvia Mella, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Ruggero Susella and Giacomo Boracchi , IACR Transactions on Cryptographic Hardware and Embedded Systems (TCHES), 2020(3), pp. 1-21 
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Augmented Grad-CAM: heat-maps super resolution through augmentation
Pietro Morbidelli, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi , ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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 “Low-Power HW Accelerator for AI Edge-Computing in Human Activity Recognition Systems”, A. De Vita, Danilo Pau, C. Parrella, L. Di Benedetto, A. Rubino, Gian Domenico Licciardo, AICAS 2020, March 25th, Genova 
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 “TinyMLPerf Benchmarking Resource-constrained Machine Learning Systems”, Colby Banbury, Max Lam, Vijay Janapa Reddi, David Kanter, Amin Fazel, Xinyuan Huang, Danilo Pietro Pau and the tinyMLPerf working group, February 12-13, 2020 San Jose, California 
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 “Action Anticipation from Multimodal Data”, Tiziana Rotondo, Giovanni Maria Farinella, Valeria Tomaselli, Sebastiano Battiato, VISAPP conference
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 “Li-Ion Batteries Releasable Capacity Estimation with Neural Networks on Intelligent IoT Microcontrollers”, Crocioni Pau Gruosso, IEEE MELECON, 16-18 June Palermo 2020
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 ”1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications”, Michele Lo Giudice, Giuseppe Varone, Cosimo Ieracitano, Nadia Mammone, Arcangelo Ranieri Bruna, Valeria Tomaselli and Francesco Carlo Morabito; IEEE-2020 International Joint Conference on Neural Networks (IJCNN)
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 “Quantitative Analysis of Deep Leaf: a Plant Disease Detector on the Smart Edge”, Giorgio Nocera, Fabrizio De Vita, Dario Bruneo, Valeria Tomaselli, Davide Giacalone, Sajal K. Das, IEEE International Conference on Smart Computing (BEST PAPER AWARD)
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Embeddable Circuit for Orientation Independent Processing in Ultra Low-Power Tri-Axial Inertial Sensors; Journal: IEEE Transactions on Circuits and Systems—II; June 2020, Antonio De Vita*, Gian Domenico Licciardo*, Aldo Femia*, Luigi Di Benedetto*, Alfredo Rubino* (*University of Salerno), Danilo Pau STMicroelectronics 
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Low Power Tiny Binary Neural Network with Improved Accuracy in Human Recognition Systems; Euromicro DSD/SEAA 2020; Aug 26-28, 2020 Virtual Conference Portoroz, Slovenia. Antonio De Vita*, Luigi Di Benedetto*, Alfredo Rubino*, Gian Domenico Licciardo* (*University of Salerno), Danilo Pau (STMicroelectronics), Frederic Petrot (University of Grenoble) 
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 AutoTinyML for microcontrollers: dealing with black-box deployability; IEEE Transactions on Neural Networks and Learning Systems. Riccardo Perego*, Antonio Candelieri*, Francesco Archetti * (University of Bicocca, Milan), Danilo Pau (STMicroelectronics)
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"Anticipating Activity from Multimodal Signals"; Tiziana ROTONDO, Giovanni Maria FARINELLA, Davide GIACALONE, Sebastiano Mauro STRANO, Valeria TOMASELLI, Sebastiano BATTIATO - International Conference on Pattern Recognition (ICPR2020)
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Real-Time Thermal Face Identification System for Low Memory Vision Applications Using CNN; Ramireddy DEVARAM, Alessandro ORTIS, Sebastiano BATTIATO, Arcangelo Ranieri BRUNA, Valeria TOMASELLI - International Workshop on Biometric Data Analysis and Forensics (IWBDAF2020, workshop of ICPR2020), 
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"Dataset of sodium chloride sterile liquid in bottles for intravenous administration and fill level monitoring";  Danilo Pietro Pau,  Luca Simonetta; Bipin Kumar; Prashant Namekar;  Gauri Dhande - Data in Brief Journal -  Aug 14, 2020
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Tiny Neural Networks for Environmental Predictions: an integrated approach with Miosix; Fifth IEEE Workshop on Smart Service Systems (SmartSys 2020) 14 September 2020, Bologna, Italy, Francesco Alongi*, Nicolo Ghielmetti*, Federico Terraneo*, William Fornaciari*, (*Polytechnic University of Mila), Danilo Pau (STMicroelectronics)
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 A Partially Binarized Hybrid Neural Network System for Low-power and Resource Constrained Human Activity Recognition; IEEE Transactions on Circuits and Systems—I, 04 August 2020. Antonio De Vita*, Alessandro Russo*, Luigi Di Benedetto*, Alfredo Rubino*, Gian Domenico Licciardo*, (*University of Salerno), Danilo Pau (STMicroelectronics).
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Tuning Deep Neural Network’s hyperparameters constrained to deployability on tiny systems, ICANN2020 29th International Conference on Artificial Neural Networks. Riccardo Perego*, Antonio Candelieri*, Francesco Archetti * (University of Bicocca, Milan) Danilo Pau (STMicroelectronics)
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“Embedded Acoustic Scene Classification for Low Power Microcontroller Devices”, Filippo Naccari, Ivana Guarneri, Salvatore Curti, and Alberto Amilcare Savi, DCASE  Nov. 2020
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Runtime Design Space Exploration and Mapping of DCNNs for the Ultra-Low-Power Orlando SoC; Ahmet Erdem, Cristina Silvano (Politecnico di Milano), Thomas Boesch, Andrea Carlo Ornstein, Surinder Pal Singh, Giuseppe Desoli (STM)- ACM Transactions on Architecture and Code Optimization, May 2020 
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2019

“Action Anticipation from Multimodal Data”, Tiziana Rotondo, Giovanni Maria Farinella, Sebastiano Battiato (Università di Catania), Valeria Tomaselli (STM), VISAPP February 2019 conference
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Low power Integrated Circuit for Orientation independent acquisitions from smart accelerometers; Antonio De Vita, Gian Domenico Licciardo, Aldo Femia, Luigi Di Benedetto, Alfredo Rubino, Danilo Pau - XX Annual Conference AISEM, Naples Feb 11 to 13, 2019.
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"Unità Sensore Intelligenti per Applicazioni Industriali", D Pau, G Tomarchio, A Di Pietro, V D'Alto, Workshop AI for Industrial Automation, March 18 2019, Centro Congressi Auditorium della Tecnica, Roma
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"Intelligenza Artificiale per applicazioni di Smart Home e Automotive", S Bianco, M Buzzelli,L Celona,G Ciocca, P Napoletano, R Schettini, A Gumiero,D Pau,V Radicioni; Workshop AI for Industrial Automation, March 18 2019, Centro Congressi Auditorium della Tecnica, Roma
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"STM32Cube.AI: AI productivity boosted on STM32 MCU", D Pau, M Durnerin, V D’Alto, M Castro;  Advances in ultra-low power Machine Learning technologies and  applications,  TinyML Summit March 20-21, 2019 Sunnyvale, California
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Embeddable Circuit for Orientation Independent Processing in Ultra Low-Power Tri-axial Inertial Sensors; A De Vita, GD Licciardo, A Femia, L Di Benedetto, A Rubino, D Pau; IEEE  Transactions on Circuits and Systems--II: Print ISSN: 1549-7747 Online ISSN: 1558-3791 Digital Object Identifier: 10.1109/TCSII.2019.2928476
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SEMIoTICS Architectural Framework: End-to-end Security, Connectivity and Interoperability for Industrial IoT; D. Pau and M. Falchetto; Workshop on Internet of Things Security and  Privacy (WISP),  June 19th 2019  Global IoTSummit Aarhus 2019
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"µW Pre-Processing Unit for Virtual Sensors Based on Tri-Axial Smart Accelerometers";A De Vita, G D Licciardo, A Femia, L Di Benedetto, D Pau; IEEE Newcas Minuch, June 23-26, 2019
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“Intelligent Recognition of TCP Intrusions For Embedded Micro-controllers”, Remi Varenne , Jean Michel Delorme , Emanuele Plebani, Danilo Pau, Valeria Tomaselli, , International Conference on Image Analysis and Processing (ICIAP), Trento, September 2019
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A Machine Learning Approach to GNSS Functional Safety, G Gogliettino, M Renna, F Pisoni, D Di Grazia, D Pau; ION GNSS+ 2019 Sept. 16-20, Miami Florida
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HAEMS: Implementation of an Intelligent Event-Driven Edge Mesh IoT Architecture D. Pietro Pau; M. Rescati; E. Scaliini; M. DeMatteis; R. Schettini; M. Paganoni; A. Baschirotto, IEEE  RTSI 2019, 9-12 Sept 2019
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Environmental Intelligence for Embedded Real-time Traffic Sound Classification P. Montino; D. Pietro Pau, IEEE RTSI 2019, 9-12 Sept 2019
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Intelligent Embedded Load Detection at the Edge on Industry 4.0 powertrains Applications  S. Akhtari; F. Pickhardt; D. P. Pau; A. Di Pietro; G. Tomarchio IEEE RTSI 2019, 9-12 Sept 2019
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Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection; E Torti, A Fontanella, M Musci, N Blago, D Pau, F Leporati, M Piastra, Microprocessors and Microsystems, Elsevier
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Online Anomaly Detection for Long-Term ECG Monitoring using Wearable Devices
Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi , Pattern Recognition Volume 88, April 2019, Pages 482-492
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Wafer Defect Map Classification Using Sparse Convolutional Networks
Roberto di Bella, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi , International Conference on Image Analysis and Processing, 125-136 (ICIAP) 2019, Trento
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On the Weighting for Convolutional Sparse Coding
Diego Carrera, Alessandro Foi, Giacomo Boracchi, Brendt Wohlberg , Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop 2019
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Intelligent Embedded Load Detection at the Edge on Industry 4.0 Powertrains Applications. S. Akhtari, F. Pickhardt, D. Pau, A. Di Pietro, G. Tomarchio - 2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI), September 2019
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Environmental Intelligence for Embedded Real-time Traffic Sound Classification. P. Montino, D. Pau - 2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI), September 2019
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Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection. E. Torti, A. Fontanella, M. Musci, N. Blago, D. Pau, F. Leporati, M. Piastra, Microprocessors and microsystems, September 2019
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Intelligent Recognition of TCP Intrusions for Embedded Micro-controllers, Remi Varenne, Jean Michel Delorme, Emanuele Plebani, Danilo Pau, Valeria Tomaselli, International Conference on Image Analysis and Processing 2019, September 2, 2019
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STM32Cube.AI: AI productivity boosted on STM32 MCU, D Pau, M Durnerin, V D’Alto, M Castro, tinyML Summit. Advances in ultra-low power Machine Learning technologies and applications March 20-21, 2019 Sunnyvale, California

2018

A New Scalable Architecture to Accelerate Deep Convolutional Neural Networks for Low Power IoT Applications Embedded World 2018 – Speeches
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 “Studying the Effects of Feature Extraction Settings on the Accuracy and Memory Requirements of Neural Networks for Keyword Spotting”, D. Pau, E. Plebani, I. Guarneri, M. Marcon, S. Muhammad, ICCE Berlin Sept 2018
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 “Reducing complexity of 3D indoor object detection”, Roberta Maisano, Valeria Tomaselli, Alessandro Capra, Francesco Longo, Antonio Puliafito, RTSI Palermo, Sept 2018
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 “Low-power Design of a Gravity Rotation Module for HAR Systems Based on Inertial Sensors”, Antonio De Vita, Gian Domenico, Licciardo, Luigi Di Benedetto, Dept. of Industrial Engineering University of Salerno 84084, Fisciano (SA), Milan ASAP 10-12 July 2018
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Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices; Euromicro DSD/SEAA 2018, August 29 – 31, 2018, Prague | Czech Republic
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 “CNN Architecture for Efficient Semantic Segmentation of Street Scenes”, Davide Mazzini and Marco Buzzelli (University of Milano-Bicocca, Italy); Danilo Pietro Pau (STMicroelectronics, Italy); Raimondo Schettini(University of Milano Bicocca, Italy), ICCE Berlin Sept 2018
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 “Pre-trainable Reservoir Computing with Recursive Neural Gas”, L. Carcano, E. Plebani, D.P. Pau, M Piastra - arXiv preprint arXiv:1807.09510, 2018 
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 “Artificial Intelligent Sensors: the core of Cyber-Physical-Systems from Theory to Practice”, 18th International Forum on MPSoC for Software defined Hardware, 7/29 – 8/3 Snowbird, Utah, D. Pau
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 “Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices”; Euromicro DSD/SEAA 2018, August 29 – 31, 2018, Prague | Czech Republic, Emanuele Torti, Alessandro Fontanella, Mirto Musci, Nicola Blago, Danilo Pau, Francesco Leporati and Marco Piastra
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 Automated generation of Single Shot Detector C library from a high level Deep learning framework, 4th International Forum on Research and Technologies for Society and Industry; Palermo, Italy, September 10-13 2018
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 “Parallelized Convolutions for Embedded Ultra Low Power Deep Learning SoC”, 4th International Forum on Research and Technologies for Society and Industry; Palermo, Italy, September 10-13 2018, , Danilo Pietro Pau, Lorenzo Cunial, Ahmet Erdem, Cristina Silvano, Mirko Falchetto,Andrea Ornstein, Giuseppe Desoli, Emanuele Plebani
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Intelligent Cyber-Physical Systems for Industry 4.0, First IEEE International Conference on Artificial Intelligence for Industries, Sep 26, 2018 - Sep 28, 2018, Laguna Hills, CA
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Parallelized Convolutions for Embedded Ultra Low Power Deep Learning SoC; Lorenzo Cunial; Ahmet Erdem; Cristina Silvano (Politecnico di MIlano); Mirko Falchetto; Andrea C. Ornstein; Emanuele Plebani; Giuseppe Desoli, Danilo Pau (STM); 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Design Space Exploration for Orlando Ultra Low-Power Convolutional Neural Network SoC; Ahmet Erdem; Cristina Silvano; Thomas Boesch; Andrea Ornstein; Surinder-Pal Singh; Giuseppe Desoli; 2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP)
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QuantTree: Histograms for Change Detection in Multivariate Data Streams
Giacomo Boracchi, Diego Carrera, Cristiano Cervellera, Danilo Maccio' , International Conference on Machine Learning (ICML) 2018 -- Accepted, 8 pages, 2018
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A Wearable Device for Online and Long-Term ECG Monitoring
Marco Longoni, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Marco Pessione, Giacomo Boracchi , International Joint Conference on Artificial Intelligence (IJCAI) - Demo Track
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Generating High-Dimensional Datastreams for Change Detection
Diego Carrera, Giacomo Boracchi , Big Data Research, Elsevier, Volume 11, March 2018, Pages 11-21.
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2017

A 2.9 TOPS/W deep convolutional neural network SoC in FD-SOI 28nm for intelligent embedded systems; Giuseppe Desoli; Nitin Chawla; Thomas Boesch; Surinder-pal Singh; Elio Guidetti; Fabio De Ambroggi; Tommaso Majo; Paolo Zambotti; Manuj Ayodhyawasi; Harvinder Singh; Nalin Aggarwal - ISSCC 2017
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Approximate operations in Convolutional Neural Networks with RNS data representation; Valentina Arrigoni (Università degli Studi di Milano - Dip. Matematica), Beatrice Rossi, Pasqualina Fragneto, Giuseppe Desoli (STM) - ESANN 2017 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 26-28 April 2017
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Intelligent Embedded and Real-Time ANN-based Motor Control for Multi-Rotor Unmanned Aircraft Systems, George Michael, Nectarios Efstathiou, Kyriacos Mantis, Theocharis Theocharides, Danilo Pau, Proceedings of 25th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) Abu Dhabi, UAE October 23 - 25, 2017
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Defect Detection in SEM Images of Nanofibrous Materials
Diego Carrera, Fabio Manganini, Giacomo Boracchi, Ettore Lanzarone , IEEE Transactions on Industrial Informatics, Volume: 13 , Issue: 2 , April 2017
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Sparse overcomplete denoising: aggregation versus global optimization
Diego Carrera, Giacomo Boracchi, Alessandro Foi, Brendt Wohlberg , IEEE Signal Processing Letters, Vol. 24, no. 10, October 2017, pp 1468 
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Domain Adaptation for Online ECG Monitoring
Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, and Giacomo Boracchi , Proceedings of IEEE Conference on Data Mining, ICDM 2017, New Orleans, Louisiana.
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Sparse Denoising: Aggregation Versus Global Optimization
Diego Carrera, Giacomo Boracchi, Alessandro Foi, Brendt Wohlberg , Signal Processing with Adaptive Sparse Structured Representations, SPARS 2017, Lisbon, Portugal, June 5-8 2017.
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