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Reproducible Research in Pattern Recognition

Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Bertrand Kerautret

    1. Lumière University Lyon 2, Bron, France

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  2. Miguel Colom

    1. Ecole Normale Superieure Paris, Gif-sur-Yvette, France

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  3. Adrien Krähenbühl

    1. University of Stasbourg, Illkirch Cedex, France

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  4. Daniel Lopresti

    1. Lehigh University, Bethlehem, USA

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  5. Pascal Monasse

    1. Ecole des Ponts Paris Tech, Marne- la- Vallée Cedex 2, France

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  6. Benjamin Perret

    1. ESIEE Paris, Université Gustave Eiffel, Noisy le Grand Cedex, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14068)

Included in the following conference series:

Conference proceedings info: RRPR 2022.

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About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Reproducible Research in Pattern Recognition, RRPR 2022, held in Montreal, Canada, in August 2022.
The 5 revised full papers presented together with 4 short papers, were carefully reviewed and selected from 9 submissions.
The papers were organized into three main categories

Keywords

Table of contents (9 papers)

  1. Front Matter

    Pages i-xii
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  2. Reproducible Research Framework

    1. Front Matter

      Pages 1-1
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    2. Development Efforts for Reproducible Research: Platform, Library and Editorial Investment

      • Miguel Colom, José Armando Hernández, Bertrand Kerautret, Benjamin Perret
      Pages 3-21

  3. Reproducible Research Results

    1. Front Matter

      Pages 23-23
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    2. Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers

      • Mouad Hamri, Maxime Devanne, Jonathan Weber, Michel Hassenforder
      Pages 25-39

  4. Short ICPR Companion Papers

    1. Front Matter

      Pages 41-41
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    2. A Novel Pattern-Based Edit Distance for Automatic Log Parsing: Implementation and Reproducibility Notes

      • Maxime Raynal, Marc-Olivier Buob, Georges Quénot
      Pages 43-50

    3. Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification

      • Jens Bayer, David Münch, Michael Arens
      Pages 51-56

    4. On Challenging Aspects of Reproducibility in Deep Anomaly Detection

      • Konstantin Kirchheim, Marco Filax, Frank Ortmeier
      Pages 57-66

    5. On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) Under Class-Prior Shift

      • Paulina Tomaszewska, Christoph H. Lampert
      Pages 67-73

  5. Special Reproducibility Track from DGMM Event

    1. Front Matter

      Pages 75-75
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    2. Combining Max-Tree and CNN for Segmentation of Cellular FIB-SEM Images

      • Cyril Meyer, Étienne Baudrier, Patrick Schultz, Benoît Naegel
      Pages 77-90

    3. Automatic Forest Road Extraction from LiDAR Data Using Convolutional Neural Networks

      • Paul Georges, Phuc Ngo, Philippe Even
      Pages 91-107

  6. Discussions Report Paper

    1. Front Matter

      Pages 109-109
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    2. Promoting Reproducibility of Research Results in International Events (Report from the \(4^{th}\) RRPR)

      • B. Kerautret, K. Kirchheim, D. Lopresti, P. Ngo, P. Tomaszewska
      Pages 111-123

  7. Back Matter

    Pages 125-125
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Other volumes

  1. Reproducible Research in Pattern Recognition

Editors and Affiliations

  • Lumière University Lyon 2, Bron, France

    Bertrand Kerautret

  • Ecole Normale Superieure Paris, Gif-sur-Yvette, France

    Miguel Colom

  • University of Stasbourg, Illkirch Cedex, France

    Adrien Krähenbühl

  • Lehigh University, Bethlehem, USA

    Daniel Lopresti

  • Ecole des Ponts Paris Tech, Marne- la- Vallée Cedex 2, France

    Pascal Monasse

  • ESIEE Paris, Université Gustave Eiffel, Noisy le Grand Cedex, France

    Benjamin Perret

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