WeakAL : Combining Active Learning and Weak Supervision

Supervised Learning requires a huge amount of labeled data, making efficient labeling one of the most critical components for the success of Machine Learning (ML). One well-known method to gain labeled data efficiently is Active Learning (AL), where the l

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Annalisa Appice Grigorios Tsoumakas Yannis Manolopoulos Stan Matwin (Eds.)

Discovery Science 23rd International Conference, DS 2020 Thessaloniki, Greece, October 19–21, 2020 Proceedings

123

Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science

Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany

Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany

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More information about this series at http://www.springer.com/series/1244

Annalisa Appice Grigorios Tsoumakas Yannis Manolopoulos Stan Matwin (Eds.) •





Discovery Science 23rd International Conference, DS 2020 Thessaloniki, Greece, October 19–21, 2020 Proceedings

123

Editors Annalisa Appice University of Bari Aldo Moro Bari, Italy

Grigorios Tsoumakas Aristotle University of Thessaloniki Thessaloniki, Greece

Yannis Manolopoulos Open University of Cyprus Nicosia, Cyprus

Stan Matwin Dalhousie University Halifax, NS, Canada

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-61526-0 ISBN 978-3-030-61527-7 (eBook) https://doi.org/10.1007/978-3-030-61527-7 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2020 7 chapters are licensed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/). For further details see license information in the chapters. This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

This volume contains the papers selected for presentation at the 23rd International Conferen