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The purpose of workshops is to provide a more interactive and focused platform for presenting and discussing new and emerging ideas. The format of paper presentations may include oral presentations, poster presentations, keynote lectures and panels. Depending on the number of presentations, workshops can be scheduled for 1 day or 2 days. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar.


AI4EIoTs 2020Workshop on Artificial Intelligence for Emerging IoT Systems: Open Challenges and Novel Perspectives (IoTBDS)
Chair(s): Fiammetta Marulli

Workshop on
Artificial Intelligence for Emerging IoT Systems: Open Challenges and Novel Perspectives
 - AI4EIoTs 2020

Paper Submission: March 3, 2020
Authors Notification: March 17, 2020
Camera Ready and Registration: March 25, 2020


Fiammetta Marulli
University of Campania "L. Vanvitelli"

Artificial Intelligence and Machine Learning applications in IoT domain are hardened by several factors as noisy and decentralized data,a different ownership of these data, and security and privacy concerns, that can limit the data provisioning. AI/ML systems needs to be trained of large amounts of data but the lack of a well-trained AI/ML model causes a low interest toward these systems, thus generating a sort of deadlock condition.This workshop aims to collect novel proposals for addressing existing criticalities and to highlight emerging challenges in applying AI/ML to IoT systems. We invite international researchers and practitioners to submit papers describing original work, experiences, or vision related to the entire lifecycle of emerging IoT systems powered by AI and ML.