TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence

Autor: Christos Sardianos, Davide Bacciu, Vincenzo Lomonaco, Pietro Cassara, Siranush Akarmazyan, Manlio Bacco, Jürgen Dobaj, Omar Veledar, Claudio Gallicchio, Georg Macher, Alessio Micheli, Patrizio Dazzi, Rosaria Potenza, Fulvio Tagliabo, Daniele Di Sarli, Konstantinos Tserpes, Charalampos Davalas, Massimo Coppola, Maria Carmela Degennaro, Calogero Calandra, Jakob Valtl, Dimitrios Michail, Salvatore Petroni, Iraklis Varlamis, George Bravos, Roberta Peroglio, Daniele Mazzei, Eric Armengaud, Gabriele Mencagli, Farank Pourdanesh, Alberto Gotta, Sylvain Girbal, Emanuele Carlini, Riccardo Groppo, Antonio Carta

Publikováno v: IEEE COINS 2021-IEEE International Conference on Omni-layer Intelligent systems, Online conference, 23-26/08/2021
info:cnr-pdr/source/autori:Bacciu D.; Akarmazyan S.; Armengaud E.; Bacco M.; Bravos G.; Calandra C.; Carlini E.; Carta A.; Cassarà P.; Coppola M.; Davalas C.; Dazzi P.; Degennaro M.C.; Di Sarli D.; Dobaj J.; Gallicchio C.; Girbal S.; Gotta A.; Groppo R.; Lomonaco V.; Macher G.; Mazzei D.; Mencagli G.; Michail D.; Micheli A.; Peroglio R.; Petroni S.; Potenza R.; Pourdanesh F.; Sardianos C.; Tserpes K.; Tagliabò F.; Vatl J.; Varlamis I.; Veledar O./congresso_nome:IEEE COINS 2021-IEEE International Conference on Omni-layer Intelligent systems/congresso_luogo:Online conference/congresso_data:23-26%2F08%2F2021/anno:2021/pagina_da:/pagina_a:/intervallo_pagine
COINS

This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment comprising both virtual and physical resources spanning the edge-cloud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7455eaf46b31da63b07723db5cfc1a6c
https://publications.cnr.it/doc/455251

Text classification by untrained sentence embeddings

Autor: Alessio Micheli, Claudio Gallicchio, Daniele Di Sarli

Recurrent Neural Networks (RNNs) represent a natural paradigm for modeling sequential data like text written in natural language. In fact, RNNs and their variations have long been the architecture of choice in many applications, however in practice t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcce7bece8f9012044840ea2eca41626
http://hdl.handle.net/11568/1072922

GFS:a Graph-based File System Enhanced with Semantic Features

Autor: Filippo Geraci, Daniele Di Sarli

Publikováno v: International Conference on Information System and Data Mining (ICISDM 2017), Charleston, South Carolina, USA, 01-03/04/2017
info:cnr-pdr/source/autori:D. Di Sarli, F. Geraci/congresso_nome:International Conference on Information System and Data Mining (ICISDM 2017)/congresso_luogo:Charleston, South Carolina, USA/congresso_data:01-03%2F04%2F2017/anno:2017/pagina_da:/pagina_a:/intervallo_pagine

Organizing documents in the file system is one of the most tedious and thorny tasks for most computer users. Taxonomies based on hand made directory hierarchies still remain the only possible alternative for most small and medium enterprises, public

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bde1d5589187a37815da23c930fc7ac6
http://www.cnr.it/prodotto/i/371379

Towards Functional Safety Compliance of Recurrent Neural Networks

Autor: Davide Bacciu, Antonio Carta, Daniele Di Sarli, Claudio Gallicchio, Vincenzo Lomonaco, Salvatore Petroni

Publikováno v: Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy

Deploying Autonomous Driving systems requires facing some novel challenges for the Automotive industry. One of the most critical aspects that can severely compromise their de- ployment is Functional Safety. The ISO 26262 standard provides guidelines

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c740bcb67529ab2c701cb4461e312f4e