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Repeatability and Reproducibility
Reproducibility is a cornerstone of the scientific process, as it allows researchers to independently verify and validate the findings of previous...
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Analyzing Inferential Reproducibility
Reproducibility of experimental results is one of the fundamental pillars of scientific research. If neither a reliable nor significant evaluation...
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Reporting Standards, Certification/Accreditation, and Reproducibility
This chapter covers the interrelated topics of (a) enhancing the quality, safety and reproducibility of clinical AI/ML via reporting standards...
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Geospatial Webservices and Reproducibility of Research: Challenges and Needs
This article investigates challenges and requirements related to the reproducibility of geospatial research using geospatial web-services. Several...
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Performance and Reproducibility of BERT4Rec
Sequential Recommendation with Bidirectional Encoder Representations from Transformer, BERT4Rec, is an efficient and effective model for sequential...
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Understanding the Reproducibility Issues of Monkey for GUI Testing
Automated GUI testing is an essential activity in develo** Android apps. Monkey is a widely used representative automated input generation (AIG)...
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On Challenging Aspects of Reproducibility in Deep Anomaly Detection
This companion paper focuses on challenging aspects of reproducibility that emerge in anomaly detection with Deep Neural Networks. We provide...
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Deep variability modeling to enhance reproducibility of database performance testing
Reproducibility is a major principle underpinning the scientific method. Especially, deep database environment systems variability represents an...
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Increasing Reproducibility in Science by Interlinking Semantic Artifact Descriptions in a Knowledge Graph
One of the pillars of the scientific method is reproducibility – the ability to replicate the results of a prior study if the same procedures are...
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Approximation trees: statistical reproducibility in model distillation
This paper examines the reproducibility of learned explanations for black-box predictions via model distillation using classification trees. We find...
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Repeatability and reproducibility of landmark localization on panoramic images for PA (Posteroanterior) cephalometric analysis
The objective of this study was to examine the repeatability and reproducibility of landmark localization on panoramic images for PA...
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A Study on Reproducibility and Replicability of Table Structure Recognition Methods
Concerns about reproducibility in artificial intelligence (AI) have emerged, as researchers have reported unsuccessful attempts to directly reproduce...
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Scene-Centric vs. Object-Centric Image-Text Cross-Modal Retrieval: A Reproducibility Study
Most approaches to (CMR) focus either on object-centric datasets, meaning that each document depicts or describes a single object, or on...
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RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery
The brain is a highly complex multigraph that presents different types of connectivities (i.e., edge types) linking pairs of anatomical regions. Each...
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Reproducibility of COVID-19 pre-prints
To examine the reproducibility of COVID-19 research, we create a dataset of pre-prints posted to ar**v, bioRxiv, and medRxiv between 28 January 2020...
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Class Ratio and Its Implications for Reproducibility and Performance in Record Linkage
Record linkage is the process of identifying and matching records from different datasets that refer to the same entity. This process can be framed...
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The reproducibility of programming-related issues in Stack Overflow questions
Software developers often look for solutions to their code-level problems using the Stack Overflow Q&A website. To receive help, developers...
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Reproducibility: Evaluating the Evaluations
Evaluation is at the heart of reproducibility in research, and the related but distinct concept of replicability. The difference between the two is...
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Assessing the Robustness and Reproducibility of CT Radiomics Features in Non-small-cell Lung Carcinoma
The aim of this study was to investigate the robustness of radiomics features extracted from computed tomography (CT) images of patients affected by...
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Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets
Graph neural networks (GNNs) have achieved extraordinary enhancements in various areas including the fields medical imaging and network neuroscience...