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Publication search results
found 39 matches
- 2023
- 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 [contents] - 2022
- Jens Bayer, David Münch, Michael Arens:
Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification. RRPR 2022: 51-56 - Miguel Colom, Jose Armando Hernandez Gonzalez, Bertrand Kerautret, Benjamin Perret:
Development Efforts for Reproducible Research: Platform, Library and Editorial Investment. RRPR 2022: 3-21 - Paul Georges, Phuc Ngo, Philippe Even:
Automatic Forest Road Extraction from LiDAR Data Using Convolutional Neural Networks. RRPR 2022: 91-107 - Mouad Hamri, Maxime Devanne, Jonathan Weber, Michel Hassenforder:
Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers. RRPR 2022: 25-39 - Bertrand Kerautret, Konstantin Kirchheim, Daniel P. Lopresti, Phuc Ngo, Paulina Tomaszewska:
Promoting Reproducibility of Research Results in International Events (Report from the 4th RRPR). RRPR 2022: 111-123 - Konstantin Kirchheim, Marco Filax, Frank Ortmeier:
On Challenging Aspects of Reproducibility in Deep Anomaly Detection. RRPR 2022: 57-66 - Cyril Meyer, Étienne Baudrier, Patrick Schultz, Benoît Naegel:
Combining Max-Tree and CNN for Segmentation of Cellular FIB-SEM Images. RRPR 2022: 77-90 - Maxime Raynal, Marc-Olivier Buob, Georges Quénot:
A Novel Pattern-Based Edit Distance for Automatic Log Parsing: Implementation and Reproducibility Notes. RRPR 2022: 43-50 - Paulina Tomaszewska, Christoph H. Lampert:
On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) Under Class-Prior Shift. RRPR 2022: 67-73 - 2021
- Federico Bolelli, Stefano Allegretti, Costantino Grana:
A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes. RRPR 2021: 139-145 - Rémi Decelle, Phuc Ngo, Isabelle Debled-Rennesson, Frédéric Mothe, Fleur Longuetaud:
Pith Estimation on Tree Log End Images. RRPR 2021: 101-120 - Florian Delconte, Phuc Ngo, Isabelle Debled-Rennesson, Bertrand Kerautret, Van-Tho Nguyen, Thiéry Constant:
Tree Defect Segmentation Using Geometric Features and CNN. RRPR 2021: 80-100 - Yuki Inoue:
Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors. RRPR 2021: 152-160 - Vera Ivanyuk, Ekaterina Tsapina:
Creating Emotion Recognition Algorithms Based on a Convolutional Neural Network for Sentiment Analysis. RRPR 2021: 66-79 - Martin Kolarík, Radim Burget, Carlos Manuel Travieso-González, Jan Kocica:
On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation. RRPR 2021: 146-151 - Jonas Lamy, Bertrand Kerautret, Odyssée Merveille, Nicolas Passat:
Structure, Concept and Result Reproducibility of the Benchmark on Vesselness Filters. RRPR 2021: 121-135 - Devashish Lohani, Carlos Fernando Crispim Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne:
Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection. RRPR 2021: 47-65 - Daniel Lopresti, George Nagy:
Reproducibility: Evaluating the Evaluations. RRPR 2021: 12-23 - Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi:
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks. RRPR 2021: 161-166 - Yoshitomo Matsubara:
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation. RRPR 2021: 24-44 - Bhasker Sri Harsha Suri, Kalidas Yeturu:
Implementation of Genetic Pseudo Rehearsal. RRPR 2021: 167-172 - Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert:
ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility. RRPR 2021: 3-11 - Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Hugues Talbot:
Reproducible Research in Pattern Recognition - Third International Workshop, RRPR 2021, Virtual Event, January 11, 2021, Revised Selected Papers. Lecture Notes in Computer Science 12636, Springer 2021, ISBN 978-3-030-76422-7 [contents] - 2019
- Bertrand Kerautret, Miguel Colom, Daniel Lopresti, Pascal Monasse, Hugues Talbot:
Reproducible Research in Pattern Recognition - Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11455, Springer 2019, ISBN 978-3-030-23986-2 [contents] - 2018
- Federico Bolelli, Michele Cancilla, Lorenzo Baraldi, Costantino Grana:
Connected Components Labeling on DRAGs: Implementation and Reproducibility Notes. RRPR 2018: 89-93 - Guangliang Chen:
MATLAB Implementation Details of a Scalable Spectral Clustering Algorithm with the Cosine Similarity. RRPR 2018: 94-97 - Miguel Colom:
Extending IPOL to New Data Types and Machine-Learning Applications. RRPR 2018: 3-24 - Miguel Colom, Bertrand Kerautret, Adrien Krähenbühl:
An Overview of Platforms for Reproducible Research and Augmented Publications. RRPR 2018: 25-39 - Pascal Monasse:
A Root-to-Leaf Algorithm Computing the Tree of Shapes of an Image. RRPR 2018: 43-54
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