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ORCIDINTESA 2018: Turin, Italy
- Maurizio Martina, William Fornaciari:
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, INTESA@ESWEEK 2018, Turin, Italy, October 04-04, 2018. ACM 2018, ISBN 978-1-4503-6598-7
Architectures and design methodologies to support embedded intelligence
- Paulo Cesar Santos, João Paulo C. de Lima, Rafael Fão de Moura, Hameeza Ahmed, Marco A. Z. Alves
, Antonio C. S. Beck, Luigi Carro:
Exploring IoT platform with technologically agnostic processing-in-memory framework. 1-6 - Nadir Cherifi, Alexandre Boe, Thomas Vantroys, Colombe Herault, Gilles Grimaud:
A low-cost energy consumption measurement platform. 7-12 - Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
HW/SW co-design and co-optimizations for deep learning. 13-18
Embedded Intelligence: best practices and software support
- Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Bernhard Moser, Natalia Shepeleva, Francesco Conti, Luca Benini, Oscar Ripolles, David Solans, Maura Pintor, Battista Biggio, Todor P. Stefanov, Svetlana Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo:
ALOHA: an architectural-aware framework for deep learning at the edge. 19-26 - Flávia Pisani, Edson Borin:
Fog vs. cloud computing: should i stay or should i go? 27-32 - Michele Zanella, Giuseppe Massari, Andrea Galimberti, William Fornaciari:
Back to the future: resource management in post-cloud solutions. 33-38 - Charalampos Marantos, Christos P. Lamprakos, Vasileios Tsoutsouras, Kostas Siozios, Dimitrios Soudris:
Towards plug&play smart thermostats inspired by reinforcement learning. 39-44 - Matteo Grimaldi, Federico Pugliese, Valerio Tenace, Andrea Calimera:
A compression-driven training framework for embedded deep neural networks. 45-50
Posters
- Nicholas Mainardi, Michele Zanella, Federico Reghenzani, Niccoló Raspa, Carlo Brandolese:
An unsupervised approach for automotive driver identification. 51-52 - Jae-Yun Kim, Soo-Mook Moon:
Blockchain-based edge computing for deep neural network applications. 53-55
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