Artificial Intelligence papers 2018

ST-Published papers on Artificial Intelligence

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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