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ORCID4th RRPR 2022: Montreal, Canada
- Bertrand Kerautret
, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Benjamin Perret:
Reproducible Research in Pattern Recognition - Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Revised Selected Papers. Lecture Notes in Computer Science 14068, Springer 2023, ISBN 978-3-031-40772-7
Reproducible Research Framework
- Miguel Colom, Jose Armando Hernandez Gonzalez, Bertrand Kerautret, Benjamin Perret:
Development Efforts for Reproducible Research: Platform, Library and Editorial Investment. 3-21
Reproducible Research Results
- Mouad Hamri, Maxime Devanne, Jonathan Weber, Michel Hassenforder:
Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers. 25-39
Short ICPR Companion Papers
- Maxime Raynal, Marc-Olivier Buob, Georges Quénot:
A Novel Pattern-Based Edit Distance for Automatic Log Parsing: Implementation and Reproducibility Notes. 43-50 - Jens Bayer, David Münch, Michael Arens:
Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification. 51-56 - Konstantin Kirchheim, Marco Filax, Frank Ortmeier:
On Challenging Aspects of Reproducibility in Deep Anomaly Detection. 57-66 - Paulina Tomaszewska, Christoph H. Lampert:
On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) Under Class-Prior Shift. 67-73
Special Reproducibility Track from DGMM Event
- Cyril Meyer, Étienne Baudrier, Patrick Schultz, Benoît Naegel:
Combining Max-Tree and CNN for Segmentation of Cellular FIB-SEM Images. 77-90 - Paul Georges, Phuc Ngo, Philippe Even:
Automatic Forest Road Extraction from LiDAR Data Using Convolutional Neural Networks. 91-107
Discussions Report Paper
- Bertrand Kerautret, Konstantin Kirchheim, Daniel P. Lopresti, Phuc Ngo, Paulina Tomaszewska:
Promoting Reproducibility of Research Results in International Events (Report from the 4th RRPR). 111-123
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