Taking Situation-Based Privacy Decisions: Privacy Assistants Working with Humans

Autor: Kökciyan, Nadin, Yolum, Pinar, Sub Intelligent Systems, Intelligent Systems

Privacy on the Web is typically managed by giving consent to individual Websites for various aspects of data usage. This paradigm requires too much human effort and thus is impractical for Internet of Things (IoT) applications where humans interact w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::986ee5ee8ddca702a5f0d8a3810d0320
https://dspace.library.uu.nl/handle/1874/426871

Hardware-Aware Neural Architecture Search: Survey and Taxonomy

Autor: Hamza Ouarnoughi, Hadjer Benmeziane, Kaoutar El Maghraoui, Martin Wistuba, Naigang Wang, Smail Niar

Publikováno v: Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}
Thirtieth International Joint Conference on Artificial Intelligence, Aug 2021, Montreal, Canada. pp.4322-4329, ⟨10.24963/ijcai.2021/592⟩
IJCAI

International audience; There is no doubt that making AI mainstream by bringing powerful, yet power hungry deep neural networks (DNNs) to resource-constrained devices would required an efficient co-design of algorithms, hardware and software. The inc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f181376173073a4b8c53f902c965bb73
https://hal-uphf.archives-ouvertes.fr/hal-03379694

ECAI 2020 : 24th European Conference on Artificial Intelligence, 29 August–8 September 2020, Santiago De Compostela, Spain – Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)

Autor: G. De Giacomo, A. Catala, B. Dilkina

This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted onl

Ontology-based data access: A survey

Autor: Michael Zakharyaschev, Antonella Poggi, Domenico Lembo, Guohui Xiao, Roman Kontchakov, Riccardo Rosati, Diego Calvanese

Publikováno v: Scopus-Elsevier
IJCAI

We present the framework of ontology-based data access, a semantic paradigm for providing a convenient and user-friendly access to data repositories, which has been actively developed and studied in the past decade. Focusing on relational data source

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84f5e9135385b058641bd01075d75dac
http://www.scopus.com/inward/record.url?eid=2-s2.0-85052809156&partnerID=MN8TOARS

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