[Apologies for multiple posting]
************************************** CALL FOR PAPERS **************************************
EPIA 2024 23rd EPIA Conference on Artificial Intelligence September 3-6, 2024 Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Viana do Castelo epia2024.pt/
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The EPIA Conference on Artificial Intelligence (AI) is a well-established European conference in the field of AI. The 23rd edition, EPIA 2024, will take place in Viana do Castelo from 3rd to 6th of September, 2024. As in previous editions, this international conference is hosted with the patronage of the Portuguese Association for Artificial Intelligence (APPIA). The purpose of this conference is to promote research in all areas of AI, covering both theoretical/foundational issues and applications, and the scientific exchange among researchers, engineers, and practitioners in related disciplines.
************************************** Important Dates **************************************
1st Call-for-papers: March, 15 2024 Paper submission deadline: Apr 30, 2024 Notification of paper acceptance: Jun 15, 2024 Camera-ready papers deadline: Jul 15, 2024 Conference dates: September 3-6, 2024
************************************** Thematic Tracks ************************************** EPIA 2024 will feature the following thematic tracks covering a wide spectrum of AI topics:
AIC – AI and Creativity AmIA – Ambient Intelligence and Affective Environments AIoTA – Artificial Intelligence and IoT in Agriculture AIL – Artificial Intelligence and Law AI4IS – Artificial Intelligence for Industry and Societies AIM – Artificial Intelligence in Medicine AIPES – Artificial Intelligence in Power and Energy Systems AITS – Artificial Intelligence in Transportation Systems ERAI – Ethics and Responsibility in AI GAI – General Artificial Intelligence GenAI – Generative AI – Foundations and Applications IROBOT – Intelligent Robotics KDBI – Knowledge Discovery and Business Intelligence NLP-TeMA – Natural Language Processing, Text Mining and Applications DCenAI – Data-Centric AI – Solutions and Emerging Technologies KRR – Knowledge Representation and Reasoning
************************************** Submission and Reviewing **************************************
– All papers should be submitted in PDF format through the EPIA 2024 EasyChair submission page easychair.org/my/conference?conf=epia2024 – Prospective authors should select the thematic track to which their paper is to be submitted. The papers should be prepared according to the Springer LNAI format, with a maximum of 12 pages. However, you should consider any track-specific details in your submission. – Submitted papers will be subject to a double-blind review process and will be peer-reviewed by at least three members of the respective track Program Committee. It is the responsibility of the authors to remove names and affiliations from the submitted papers, and to take reasonable care to assure anonymity during the review process. – Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.
************************************** Proceedings and Presentations ************************************** – Accepted papers will be included in the conference proceedings (as in previous editions, the publication of a volume of Springer’s LNAI-Lecture Notes in Artificial Intelligence is expected), as long as at least one author is registered in EPIA 2024 by the deadline advance registration. – EPIA 2024 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar. – Each accepted paper must be presented by one of the authors in a track session.
************************************** Awards **************************************
The conference will grant the following awards: * Best Paper Award, for the best research paper presented at the conference * Best Application Paper, for the best application paper presented at the conference * Best Student Paper Award, for the best research paper presented at the conference where the first author is a student (to confirm)
Important: only papers that have been submitted to a thematic track and presented at the conference will be eligible for these awards.
********************************* EPIA 2024 Committees *********************************
Event and Program Chairs Manuel Filipe Santos, Universidade do Minho, ALGORITMI/LASI José Machado, Universidade do Minho, ALGORITMI/LASI Paulo Novais, Universidade do Minho, ALGORITMI/LASI Paulo Cortez, Universidade do Minho, ALGORITMI/LASI Pedro Moreira, ESTG, Instituto Politécnico de Viana do Castelo
— Esta mensagem foi enviada para a rede APPIA, que engloba os associados da APPIA. Se desejar deixar de receber este tipo de mensagens, p.f. envie um email para appia [at] appia [ponto] pt

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Explainable AI in Industry 4.0 and 5.0 This Special Issue aims to gather papers that focus on integrating and applying eXplainable AI (xAI) in the context of Industry 4.0 and 5.0. The themes that will be explored include the use of XAI in modern industrial settings and the collaboration between humans and machines in Industry 5.0, with a particular focus on trustworthiness, transparency, and accountability. As AI becomes more prevalent in industries, it is crucial to understand its nuances, particularly in terms of explainability. While there have been publications on the revolutionary nature of Industry 4.0 and 5.0, there has been little exploration of the critical role of XAI in these sectors. Previous special issues have covered AI and industrial revolutions, but a concerted effort to comprehend the importance of XAI in these settings is lacking. This Special Issue is intended for both academic researchers and industrial practitioners, with the potential to promote innovative collaborations.
Topics of interest include (but are not limited to):
-Data and information fusion in the industrial XAI context -Explainable systems fusing various sources of industrial information -Exploring XAI in the performance and efficiency of industrial systems -XAI for predictive maintenance -Forecasting of product and process quality -Explainable anomaly detection -Root Cause Analysis, Causal Reasoning -Automatic process optimization -Industrial process monitoring and modelling -Visual analytics and interactive machine learning -Remaining Useful Life -Decision-making assistance and resource optimization -Planning under uncertainty -Digital Twins for Predictive Maintenance -Analysis of usage patterns -AI transparency and accountability in smart factories -Ethical considerations in industrial deployment of AI -Industrial use cases for XAI (e.g., manufacturing, energy, transport) -Challenges and future directions for XAI in the industry
Guest editors:
Rita P. Ribeiro, PhD University Porto and INESC TEC, Porto, Portugal
João Gama, PhD University Porto and INESC TEC, Porto, Portugal
Slawomir Nowaczyk, PhD Halmstad University, Halmstad, Sweden
Sepideh Pashami, PhD Halmstad University, Halmstad, Sweden
Manuscript submission information:
The journal’s submission platform (Editorial Manager®) will be available for receiving submissions to this Special Issue from January 29th, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: XAI in Industry 4.0 and 5.0” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Information Fusion | Journal | ScienceDirect.com by Elsevier.
Timeline:
Submission Open Date *29/01/2024
Final Manuscript Submission Deadline *29/07/2024
Editorial Acceptance Deadline *29/11/2024
Keywords:
Predictive Maintenance; Industry 4.0; Explainable AI; Machine Learning
Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt
— Esta mensagem foi enviada para a rede APPIA, que engloba os associados da APPIA. Se desejar deixar de receber este tipo de mensagens, p.f. envie um email para appia [at] appia [ponto] pt