• shap

  • Referenced in 50 articles [sw30901]
  • explain the output of any machine learning model. SHAP connects game theory with local explanations ... possible consistent and locally accurate additive feature attribution method based on expectations (see our papers...
  • Captum

  • Referenced in 4 articles [sw35075]
  • introduce a novel, unified, open-source model interpretability library for PyTorch [12]. The library contains ... gradient and perturbation-based attribution algorithms, also known as feature, neuron and layer importance algorithms ... both classification and non-classification models including graph-structured models built on Neural Networks ... give a high-level overview of supported attribution algorithms and show how to perform memory...
  • GLFM

  • Referenced in 1 article [sw35679]
  • latent feature allocation models for homogeneous datasets, where all the attributes that describe each object ... general framework for practical latent feature modeling for heterogeneous datasets. In this paper, we introduce ... nonparametric latent feature allocation model suitable for heterogeneous datasets, where the attributes describing each object ... features required to capture the latent structure in the data. Third, the latent features...
  • ViSta

  • Referenced in 3 articles [sw13548]
  • requirements attributes that are concerned with the behavioral features of a system, and models these...
  • PyAFBF

  • Referenced in 1 article [sw42884]
  • tools to compute model features (regularity, anisotropy,...) which may serve as attributes to describe generated ... sample heterogeneous textures from random field models related to the AFBF...
  • CORElearn

  • Referenced in 6 articles [sw10624]
  • regression trees with optional constructive induction and models in the leafs, random forests, kNN, naive ... feature evaluation where it contains several variants of Relief algorithm and many impurity based attribute...
  • RSPOP

  • Referenced in 8 articles [sw02562]
  • interpretability of the POPFNN in linguistic fuzzy modeling. This article proposes a novel rough ... algorithm not only performs feature selection through the reduction of attributes but also extends...
  • jReality

  • Referenced in 6 articles [sw04052]
  • Java based, open-source, full-featured 3D scene graph package designed for 3D visualization ... safe, has a flexible shading model based on an attribute-inheritance mechanism in the scene...
  • SIMDL

  • Referenced in 1 article [sw02541]
  • model. SIMDL’s other features are: transactions havin user defined attributes, queues, facilities to simulate ... interactive run time environment for on-line model development and execution. The paper introduces SIMDL...
  • PSOFuzzySVM-TMH

  • Referenced in 3 articles [sw27664]
  • identification of transmembrane helix segments using ensemble feature space by incorporated fuzzy support vector machine ... propose the PSOFuzzySVM-TMH model. In this model, evolutionary based information position specific scoring matrix ... attributes are eradicated using an optimization selection technique, particle swarm optimization, from both feature spaces ... selected feature spaces are combined in order to form ensemble feature space. Fuzzy-support vector...
  • proDEX

  • Referenced in 4 articles [sw27283]
  • proDEX is a tool for qualitative multi-attribute decision-making that is based ... features was initiated by the requirements that stem from our work in environmental modelling. Here...
  • repDNA

  • Referenced in 12 articles [sw16473]
  • predictors for identifying the biological features or attributes of DNAs, one of the most challenging ... DNAs (repDNA) for generating the widely used features reflecting the physicochemical properties and sequence-order ... feature groups composed of 15 features. The first group calculates three nucleic acid composition features ... features, which can be used to represent a DNA sequence with a discrete model...
  • Vivid

  • Referenced in 3 articles [sw01316]
  • system states, that are specifically designed for modeling potentially underdetermined diagrams. These structures allow ... pervasive feature of heterogeneous problem solving. We introduce a notion of attribute interpretations that enables...
  • POSSUM

  • Referenced in 8 articles [sw24532]
  • performance of various predictors of protein attributes. Even though a number of algorithms have been ... generate 21 types of PSSM-based feature descriptors, thereby addressing a crucial need for bioinformaticians ... facilitate feature extraction, selection, and benchmarking of machine learning-based models, thereby contributing...
  • DigiFract

  • Referenced in 1 article [sw27761]
  • DigiFract: A software and data model implementation for flexible acquisition and processing of fracture data ... Instead, DigiFract focuses on collecting geometries and attributes and derives spatial information through subsequent analyses ... raster and vector data handling. Among other features, this includes spatial referencing of outcrop photos ... digitizing geologic features. Data is managed through a data model and stored in shapefiles...
  • FSMT

  • Referenced in 1 article [sw00160]
  • attaching manufacturing information to existing geometric models, the feature definition in the FSMT has been ... unified method for defining various features. Through the development of a dual representation schema ... index and a $B$-rep index, attributes such as tolerance and roughness can be conveniently ... model or the $B$-rep model. The CSG model and the $B$-rep model...
  • iMetrica

  • Referenced in 1 article [sw42327]
  • automatically. This feature is designed to help understand the underlying of the modeling or filtering ... process. One can test many attributes of the modeling or filtering process this way both ... added on a weekly basis. New tools, features, modules are constantly being added. Please send...
  • DifScal

  • Referenced in 2 articles [sw25673]
  • unidimensional psychological attribute are modeled according to Thurstone’s judgment scaling model. The algorithm applies ... model parameters. Two ways to calculate the start configuration for the model parameters are elaborated ... goodness of the model fit. An additional features of DifScal is that it is suited...
  • ERZoom

  • Referenced in 1 article [sw35685]
  • systematic process on building an entity-relationship model step-by-step from the requirement specifications ... design process. ERZoom provides a unique feature that enables the designer to view a selected ... their attributes, while hiding the rest of the entity-relationship model. This is especially useful...
  • changelos

  • Referenced in 6 articles [sw15072]
  • acquired complications. In order to compute the attributable change in LOS, it is crucial ... handled by multistate models; however, there is few software for such models available. We introduce ... cohort study on hospital-acquired infections. Main features of the R-package ”changeLOS...