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Code replicability in computer graphics
11 references·3 citing·39 second hop
Code replicability in computer graphics (2020)Code replicability in computer graphicsState of the Art: Reproducibility in Artificial Intelligence (2018)State of the Art: Reproducibi…Open is not enough (2018)Open is not enoughEvaluating the replicability of social science experiments in Nature and Science between 2010 and 2015 (2018)Evaluating the replicability …Artificial intelligence faces reproducibility crisis (2018)Artificial intelligence faces…Redefine statistical significance (2017)Redefine statistical signific…Poor replication validity of biomedical association studies reported by newspapers (2017)Poor replication validity of …Cancer reproducibility project releases first results (2017)Cancer reproducibility projec…1,500 scientists lift the lid on reproducibility (2016)1,500 scientists lift the lid…Estimating the reproducibility of psychological science (2015)Estimating the reproducibilit…Replications in Psychology Research (2012)Replications in Psychology Re…Is the Replicability Crisis Overblown? Three Arguments Examined (2012)Is the Replicability Crisis O…Papers with code or without code? Impact of GitHub repository usability on the diffusion of machine learning research (2023)Papers with code or without c…ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility (2021)ReproducedPapers.org: Openly …Are You Open? A Content Analysis of Transparency and Openness Guidelines in HCI Journals (2021)Are You Open? A Content Analy…Why Most Published Research Findings Are False (2005)Conducting Meta-Analyses in R with the metafor Package (2010)Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (2013)Estimating Psychological Networks and their Accuracy: A Tutorial Paper (2016)A tutorial on regularized partial correlation networks. (2018)Experimental and Quasi-Experimental Designs for Research (1963)Why Most Published Research Findings Are False (2005)The Replication Recipe: What makes for a convincing replication? (2013)Registered Reports (2014)The unity and diversity of executive functions: A systematic review and re-analysis of latent variable studies. (2018)HARKing: Hypothesizing After the Results are Known (1998)False-Positive Psychology (2011)A Multilab Preregistered Replication of the Ego-Depletion Effect (2016)Working Memory Training Does Not Improve Performance on Measures of Intelligence or Other Measures of “Far Transfer” (2016)Constraints on Generality (COG): A Proposed Addition to All Empirical Papers (2017)Reproducibility in Science (2014)Many Labs 2: Investigating Variation in Replicability Across Samples and Settings (2018)How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables (2019)Believe it or not: how much can we rely on published data on potential drug targets? (2011)Reproducible Research in Computational Science (2011)Threats of a replication crisis in empirical computer science (2020)Applications of deep learning in stock market prediction: Recent progress (2021)Reproducibility in machine learning for health research: Still a ways to go (2021)Power failure: why small sample size undermines the reliability of neuroscience (2013)Replicability, Robustness, and Reproducibility in Psychological Science (2021)What does research reproducibility mean? (2016)A Roadmap for HEP Software and Computing R&D for the 2020s (2019)Practical Reproducibility in Geography and Geosciences (2020)Ten simple rules for writing Dockerfiles for reproducible data science (2020)To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications (2021)A manifesto for reproducible science (2017)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)The nf-core framework for community-curated bioinformatics pipelines (2020)Open Communication Science: A Primer on Why and Some Recommendations for How (2019)Signaling the trustworthiness of science (2019)Open science, communal culture, and women’s participation in the movement to improve science (2020)Insights From “The Machine Stops ” to Better Understand Rational Assumptions in Algorithmic Decision Making and Its Implications for Organizations (2019)Artificial intelligence and the conduct of literature reviews (2021)The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations (2021)
this work references cited by second hop

References

  • 2015Estimating the reproducibility of psychological science8,516 cited
  • 20161,500 scientists lift the lid on reproducibility4,200 cited
  • 2017Redefine statistical significance2,771 cited
  • 2018Evaluating the replicability of social science experiments in Nature and Science between 2010 and 20151,519 cited
  • 2012Replications in Psychology Research750 cited
  • 2012Is the Replicability Crisis Overblown? Three Arguments Examined695 cited
  • 2018Artificial intelligence faces reproducibility crisis567 cited
  • 2018State of the Art: Reproducibility in Artificial Intelligence292 cited
  • 2018Open is not enough114 cited
  • 2017Cancer reproducibility project releases first results103 cited
  • 2017Poor replication validity of biomedical association studies reported by newspapers76 cited

Cited by

  • 2023Papers with code or without code? Impact of GitHub repository usability on the diffusion of machine learning research26 cited
  • 2021Are You Open? A Content Analysis of Transparency and Openness Guidelines in HCI Journals18 cited
  • 2021ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility13 cited

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