Miguel Colom – författare

This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Reproducible Research in Pattern Recognition, RRPR 2018, in Beijing, China in August 2018.The 8 revised full papers, presented together 6 short papers, were carefully reviewed and selected from 14 submissions. This year the workshop did focus on Digital Geometry and Mathematical Morphology. The first track 1 on RR Framework was dedicated to the general topics of Reproducible Research in Computer Sciencewith a potential link to Image Processing and Pattern Recognition. In the second track 2 the authors described their works in terms of Reproducible Research.

This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Reproducible Research in Pattern Recognition, RRPR 2018, in Beijing, China in August 2018.The 8 revised full papers, presented together 6 short papers, were carefully reviewed and selected from 14 submissions. This year the workshop did focus on Digital Geometry and Mathematical Morphology. The first track 1 on RR Framework was dedicated to the general topics of Reproducible Research in Computer Sciencewith a potential link to Image Processing and Pattern Recognition. In the second track 2 the authors described their works in terms of Reproducible Research.

This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021.The 8 revised full papers, presented together with 6 short papers, were carefully reviewed and selected from 18 submissions. The papers were organized into three main categories. The first contributions focused on reproducible research frameworks. The second category focused on reproducible research results and the last category included ICPR companion papers describing implementation and details that are an absolute requirement for reproducibility.

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

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

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Reproducible Research in Pattern Recognition, RRPR 2024, held in Kolkata, India, on December 1, 2024. The 5 full papers and 8 short papers included in this book were carefully reviewed and selected from 20 submissions.RRPR 2024 book cover advances in platforms on reproducibility and new reproducible research results.

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Reproducible Research in Pattern Recognition, RRPR 2024, held in Kolkata, India, on December 1, 2024. The 5 full papers and 8 short papers included in this book were carefully reviewed and selected from 20 submissions.RRPR 2024 book cover advances in platforms on reproducibility and new reproducible research results.

This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Reproducible Research in Pattern Recognition, RRPR 2016, held in Cancún, Mexico, in December 2016. The 12 revised full papers, among them 2 invited talks, presented were carefully reviewed and selected from 16 submissions. They focus on pattern recognition algorithms; reproducible research frameworks; reproducible research results, previous works on reproducible research.