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Artificial Intelligence XL

43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12–14, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Max Bramer

    1. University of Portsmouth, Portsmouth, UK

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    You can also search for this editor in PubMed   Google Scholar

  2. Frederic Stahl

    1. DFKI: German Research Center for Artificial Intelligence, Oldenburg, Germany

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14381)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: SGAI 2023.

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About this book

This book constitutes the refereed proceedings of the 43rd SGAI International Conference on Artificial Intelligence,  AI 2023, held in Cambridge, UK, during December 12–14, 2023.

The 27 full papers and 20 short papers included in this book are carefully reviewed and selected from 67 submissions. They were organized in topical sections as follows: Technical Papers: Speech and Natural Language Analysis, Image Analysis, Neural Nets, Case Based Reasoning and Short Technical Papers. Application Papers: Machine Learning Applications, Machine Vision Applications, Knowledge Discovery and Data Mining Applications, other AI Applications and Short Application Papers.

Keywords

Table of contents (47 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Technical Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. On Explanations for Hybrid Artificial Intelligence

      • Lars Nolle, Frederic Stahl, Tarek El-Mihoub
      Pages 3-15

  3. Speech and Natural Language Analysis

    1. Front Matter

      Pages 17-17
      Download chapter PDF

    2. Intermediate Task Ensembling for Sarcasm Detection

      • Jarrad Jinks
      Pages 19-32

    3. Clinical Dialogue Transcription Error Correction with Self-supervision

      • Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon
      Pages 33-46

    4. Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian

      • Pernille Aaby, Daniel Biermann, Anis Yazidi, Gustavo Borges Moreno e Mello, Fabrizio Palumbo
      Pages 47-58

    5. Confidence Preservation Property in Knowledge Distillation Abstractions

      • Dmitry Vengertsev, Elena Sherman
      Pages 59-72

  4. Image Analysis

    1. Front Matter

      Pages 73-73
      Download chapter PDF

    2. Exploring Optimal Configurations in Active Learning for Medical Imaging

      • Alec Parise, Brian Mac Namee
      Pages 75-88

    3. CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric

      • Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik
      Pages 89-102

    4. A Contrastive Learning Scheme with Transformer Innate Patches

      • Sander R. Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland
      Pages 103-114

    5. Deep Despeckling of SAR Images to Improve Change Detection Performance

      • Mohamed Ihmeida, Muhammad Shahzad
      Pages 115-126

  5. Neural Nets

    1. Front Matter

      Pages 127-127
      Download chapter PDF

    2. Profiling Power Consumption for Deep Learning on Resource Limited Devices

      • Aidan Duggan, Ted Scully, Niall Smith, Alan Giltinan
      Pages 129-141

    3. Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation

      • Michael Free, Andrew Langworthy, Mary Dimitropoulaki, Simon Thompson
      Pages 142-155

  6. Case Based Reasoning

    1. Front Matter

      Pages 157-157
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    2. Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning

      • Nicolas Schuler, Maximilian Hoffmann, Hans-Peter Beise, Ralph Bergmann
      Pages 159-173

    3. PertCF: A Perturbation-Based Counterfactual Generation Approach

      • Betül Bayrak, Kerstin Bach
      Pages 174-187

  7. Short Technical Papers

    1. Front Matter

      Pages 189-189
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Other volumes

  1. Artificial Intelligence XL

Editors and Affiliations

  • University of Portsmouth, Portsmouth, UK

    Max Bramer

  • DFKI: German Research Center for Artificial Intelligence, Oldenburg, Germany

    Frederic Stahl

Bibliographic Information

  • Book Title: Artificial Intelligence XL

  • Book Subtitle: 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12–14, 2023, Proceedings

  • Editors: Max Bramer, Frederic Stahl

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-47994-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-47993-9Published: 08 November 2023

  • eBook ISBN: 978-3-031-47994-6Published: 07 November 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XV, 529

  • Number of Illustrations: 95 b/w illustrations, 72 illustrations in colour

  • Topics: Artificial Intelligence, Computer Systems Organization and Communication Networks, Computing Milieux, Computer Applications

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