Notice
Session 6: Short Paper Session
- document 1 document 2 document 3
- niveau 1 niveau 2 niveau 3
Descriptif
Talk 1 [not in the video] : Statistical Comparison In Empirical Computer Science With Minimal Computation Usage. By Timothée Mathieu and Philippe Preux.
Presented by Timothée Mathieu, Postdoctoral Fellow.
Talk 2 [00:00] : Embracing Deep Variability For Reproducibility And Replicability. By Mathieu Acher, Benoit Combemale, Georges Aaron Randrianaina and Jean-Marc Jézéquel
Presented by Mathien Acher, Professor.
Talk 3 [13:20] : Can Citations Tell Us About A Paper’s Reproducibility? A Case Study Of Machine Learning Papers. By Rochana R. Obadage, Sarah M. Rajtmajer and Jian Wu
Presented by Rochana R. Obadage, Graduate Teaching Assistant.
Talk 4 [29:05] : Evaluating Tools For Enhancing Reproducibility In Computational Scientific Experiments. By Lázaro Costa, Susana Barbosa and Jacome Cunha
Presented by Lázaro Costa, PhD Student.
Thème
Sur le même thème
-
Computational reproductibility: an overview illustrated with examples from the medical imaging rese…
POP Sorina
Computational reproductibility: an overview illustrated with examples from the medical imaging research community
-
Tutorial Track 1: Reproducible distributed environments with NixOS Compose
Presented by Quentin Guilloteau, Postdoctoral Fellow, Fernando Ayats Llamas, Research Engineer and Olivier Richard, Assistant Professor.
-
Tutorial Track 1: Reproducibility of Scientific Results using E4S Containers
Presented by SHENDE, Sameer, Research Profesor.
-
Tutorial Track2: Fostering Reproducibility By Integrating Large Language Model and Scholarly Knowl…
Presented by Hassan Hussein, PhD Student, Vindoh Ilangovan, Researcher and Kaouter Kebaili, PhD Student.
-
Tutorial Track 3: Managing HPC Software Complexity with Spack
Presented by Massimiliano Culpo, Researcher.
-
Tutorial Track 4: Practical strategies for teaching reproducibility
Presented by Fraida Fund, Research Assistant Professor, Sarah Cohen-Boulakia, Professor and Bogdan Alexandru Stoica, PhD Student.
-
Keynote: Replicable empirical machine learning research
BOULESTEIX Anne-Laure
In the absence of mathematical theory addressing complex real-life settings beyond simplifying assumptions, the behavior and performance of machine learning methods often has to be addressed by
-
-
-
-
Session 4: Poster Lightning Talks
Talk 1 [00:00] NPF: orchestrate and reproduce network experiments. By Tom Barbette. Presented by Tom Barbette, Assistant Professor. Talk 2 [03:10] : From reproducible to reusable bioinformatics
-
Keynote: Reproducibility and replicability of computer simulations
HINSEN Konrad
Since the early days of the reproducibility crisis, much progress has been made in understanding and improving computational reproducibility and replicability (R and R)...
