• AdequacyModel

  • Referenced in 13 articles [sw15282]
  • Purpose Optimization. The main application concerns to a new robust optimization package with two major...
  • InteGrade

  • Referenced in 7 articles [sw10214]
  • describes the solutions achieved concerning the support for robust application execution. The contributions cover...
  • INDELible

  • Referenced in 8 articles [sw23043]
  • robustness of phylogenetic inference methods. However, current simulation programs are limited, especially concerning realistic models...
  • bond_graph_cardiac_AP

  • Referenced in 2 articles [sw39192]
  • heart disease and pharmacology, but concerns linger over their robustness during long periods of simulation...
  • Ditto

  • Referenced in 1 article [sw41838]
  • Learning Through Personalization. Fairness and robustness are two important concerns for federated learning systems...
  • abn

  • Referenced in 2 articles [sw31036]
  • core functionality is concerned with model selection - determining the most robust empirical model of data...
  • CLAIMED

  • Referenced in 1 article [sw37562]
  • constraints on explainability, adversarial robustness and fairness are often major concerns for production deployment. Although ... source ecosystem is abundant on addressing those concerns, fully integrated, end to end systems ... Fairness360 toolkit and the Adversarial Robustness Toolkit on top of ElyraAI, Kubeflow, Kubernetes and JupyterLab...
  • ImageJ2

  • Referenced in 4 articles [sw18697]
  • host of new functionality. It separates concerns, fully decoupling the data model from the user ... with external applications to maximize interoperability. Its robust new plugin framework allows everything from image...
  • BIANCA

  • Referenced in 13 articles [sw02081]
  • optimisation problems in engineering. The effectiveness and robustness of BIANCA rely on the great generality ... case of optimal design of composite laminates concerning both the theoretical formulation and the numeric...
  • SMArTIC

  • Referenced in 3 articles [sw15737]
  • SMArTIC: towards building an accurate, robust and scalable specification miner. Improper management of software evolution ... technique to address this concern by inferring specifications automatically. In this paper, we propose ... fIltering and Clustering) to improve the accuracy, robustness and scalability of specification miners. This architecture...
  • HMTRA-SALT

  • Referenced in 1 article [sw10382]
  • example concerning a wall drying process was numerically solved to show the robustness...
  • robivreg

  • Referenced in 2 articles [sw37461]
  • robust instrumental-variables estimator. The classical instrumental-variables estimator is extremely sensitive to the presence ... outliers in the sample. This is a concern because outliers can strongly distort the estimated ... estimator. In this article, we present a robust instrumental-variables estimator, initially proposed by Cohen...
  • SParC-LES

  • Referenced in 6 articles [sw12976]
  • pursue goals such as modularity, accuracy and robustness, as well as easy and fast exploitation ... algebraic multilevel Schwarz preconditioners. Numerical experiments, concerning the simulation by SParC-LES of a turbulent...
  • npbr

  • Referenced in 1 article [sw15636]
  • nonparametric boundary estimation. The selected methods are concerned with empirical, smoothed, unrestricted as well ... separate and multiple shape constraints. They cover robust approaches to outliers as well as data...
  • Slate

  • Referenced in 5 articles [sw31053]
  • increasingly popular in simulating geophysical flows. However, robust and efficient solvers for the resulting saddle ... within complex models, whilst maintaining separation of concerns between applications scientists and software experts...
  • XMR

  • Referenced in 3 articles [sw07169]
  • This proof is based on five requirements concerning the interplay between the core algorithm ... from Lapack 3.2.2. Numerical experiments comparing the robustness and performance of both implementations are given...
  • FocalTest

  • Referenced in 6 articles [sw06448]
  • solve those constraint systems. This paper is concerned with the first step only where ... important contribution to the building of more robust software testing tools...
  • CURobustML

  • Referenced in 1 article [sw42172]
  • Robust machine learning for treatment effects in multilevel observational studies under cluster-level unmeasured confounding ... estimate treatment effects in order to reduce concerns for model mis-specification. However, many ... simulation studies that our proposed methods are robust from biases from unmeasured cluster-level confounders...
  • 2DRMP

  • Referenced in 2 articles [sw10283]
  • proved to be a remarkably stable, robust and efficient technique for solving the close-coupling ... periodically in CPC. These packages are primarily concerned with low-energy scattering where the incident...
  • iTTCA-Hybrid

  • Referenced in 1 article [sw40047]
  • iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature ... cases of cancer poses a challenging health concern that prompts for novel and effective treatment ... iTTCA-Hybrid approach proposed herein employs two robust machine learning models (e.g. support vector machine...