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TempXAI: Explainable AI for Time Series and Data Streams 2024: Proceedings of the Workshop on Explainable AI for Time Series and Data Streams (TempXAI 2024) co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024)
University of Bristol, UK.
Bielefeld University, Germany.
Bielefeld University, Germany.
LMU Munich, Germany.
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Number of Authors: 102024 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

This document is the preface of the proceedings of the TempXAI Workshop Tutorial on Explainable AI for Time Series and Data Streams, held on September 9th, 2024, in Vilnius, Lithuania. We received 5 submissions for peer-review, out of which we accepted 4 papers for this volume. In addition, we publish two extended abstracts of the tutorial that we give as a part of the workshop program.

Place, publisher, year, edition, pages
CEUR-WS , 2024.
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 3761
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:su:diva-238984Scopus ID: 2-s2.0-85205016887OAI: oai:DiVA.org:su-238984DiVA, id: diva2:1937090
Conference
Workshop on Explainable AI for Time Series and Data Streams (TempXAI 2024) co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 9 September 2024, Vilnius, Lithuania.
Available from: 2025-02-12 Created: 2025-02-12 Last updated: 2025-02-24Bibliographically approved

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  • Other locale
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Output format
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