• Tyrolean

  • Referenced in 91 articles [sw07830]
  • order, loop detection, matrix interpretation, polynomial interpretation, predictive labeling, recursive SCC, root-labeling, semantic labeling...
  • AdaBoost.MH

  • Referenced in 505 articles [sw08517]
  • interpreted as a broad, abstract extension of the well-studied on-line prediction model...
  • OSCAR

  • Referenced in 58 articles [sw03026]
  • clusters. In addition to improving prediction accuracy and interpretation, these resulting groups can then ... similar effect on the response to form predictive clusters represented by a single coefficient...
  • InterPreTS

  • Referenced in 6 articles [sw35752]
  • Interaction Prediction through Tertiary Structure. Summary: InterPreTS (Interaction Prediction through Tertiary Structure ... based version of our method for predicting protein–protein interactions (Aloy and Russell, 2002, Proc ... interface. InterPreTS includes a useful interface for visualising molecular details of any predicted interaction. Availability...
  • Zelig

  • Referenced in 9 articles [sw17526]
  • provides a common architecture for estimation and interpretation, as well as bridging functions to absorb ... data. In particular, Zelig automatically generates predicted and simulated quantities of interest (such as relative ... effects, first differences and predicted and expected values) to interpret and visualize complex models...
  • fpc

  • Referenced in 29 articles [sw07105]
  • clusters: Calinski-Harabasz, Tibshirani and Walther’s prediction strength, Fang and Wang’s bootstrap stability ... continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering...
  • YLoc

  • Referenced in 2 articles [sw22451]
  • YLoc - an interpretable web server for predicting subcellular localization. Predicting subcellular localization has become ... these predictors is their lack of interpretability and the fact that they do not provide ... prediction. We present YLoc, an interpretable web server for predicting subcellular localization. YLoc uses natural...
  • GNNExplainer

  • Referenced in 3 articles [sw37864]
  • information leads to complex models, and explaining predictions made by GNNs remains unsolved. Here ... model-agnostic approach for providing interpretable explanations for predictions of any GNN-based model ... mutual information between a GNN’s prediction and distribution of possible subgraph structures. Experiments ... ability to visualize semantically relevant structures to interpretability, to giving insights into errors of faulty...
  • horserule

  • Referenced in 5 articles [sw27913]
  • datasets. The model and its interpretation is demonstrated on the well known Boston housing data ... classification. The posterior sampling, prediction and graphical tools for interpreting the model results are implemented...
  • Skater

  • Referenced in 2 articles [sw33036]
  • actively working towards to enabling faithful interpretability for all forms models). It is an open ... locally(inference about an individual prediction). The project was started as a research idea ... enable better interpretability(preferably human interpretability) to predictive ”black boxes” both for researchers and practioners...
  • HMMTOP

  • Referenced in 7 articles [sw16868]
  • option improves the prediction accuracy as well as helps the interpretation of experimental results...
  • PyKale

  • Referenced in 1 article [sw39156]
  • from multiple sources for accurate and interpretable prediction, thus supporting multimodal learning and transfer learning...
  • iml

  • Referenced in 6 articles [sw28966]
  • Interpretable Machine Learning. Interpretability methods to analyze the behavior and predictions of any machine learning...
  • streg

  • Referenced in 6 articles [sw37360]
  • subtly affect the interpretation of the results. Methods for obtaining predictions that are either conditional...
  • Tokamak

  • Referenced in 2 articles [sw06565]
  • library is designed to predict, support, and interpret experiments as well as handle measurements...
  • pi-MASS

  • Referenced in 20 articles [sw17249]
  • identifying relevant variables, rather than on prediction; and (ii) many relevant covariates may have tiny ... these factors put a premium on having interpretable measures of confidence for individual covariates being ... simulations produces better power and predictive performance compared with standard single-SNP analyses...
  • imodels

  • Referenced in 2 articles [sw38412]
  • fitting interpretable models. imodels is a Python package for concise, transparent, and accurate predictive modeling ... fitting and using state-of-the-art interpretable models, all compatible with scikit-learn (Pedregosa ... models while improving interpretability and computational e ciency, all without sacrifcing predictive accuracy. In addition ... custom tools and rule-based models for interpretability...
  • CLISTE

  • Referenced in 1 article [sw22868]
  • CLISTE interpretive equilibrium code. The CLISTE interpretive equilibrium code solves the Grad-Shafranov equation ... functionality has been extended to enable predictive or interpretive modes of operation. CLISTE...
  • RuleKit

  • Referenced in 1 article [sw30223]
  • data analysis as they combine interpretability with predictive power. We present RuleKit, a versatile tool...
  • multiDA

  • Referenced in 1 article [sw41735]
  • showing marked improvements in regard to prediction accuracy, interpretability of chosen features, and fast...