JOSS Papers: interpretability

Published Papers

published Published 4 months ago

pide: Petrophysical Interpretation tools for geoDynamic Exploration.

Python

10.21105/joss.07021

published Published 6 months ago

ReLax: Efficient and Scalable Recourse Explanation Benchmarking using JAX

Python Jupyter Notebook SCSS

10.21105/joss.06567

published Published 8 months ago

AIgarMIC: a Python package for automated interpretation of agar dilution minimum inhibitory concentration assays

Python

10.21105/joss.06826

published Published 10 months ago

TelescopeML -- I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results

Python

@EhsanGharibNezhad

10.21105/joss.06346

published Published over 1 year ago

CRE: An R package for interpretable discovery and inference of heterogeneous treatment effects

R

10.21105/joss.05587

published Published over 1 year ago

HNN-core: A Python software for cellular and circuit-level interpretation of human MEG/EEG

Python Jupyter Notebook AMPL

10.21105/joss.05848

published Published over 1 year ago

pudu: A Python library for agnostic feature selection and explainability of Machine Learning spectroscopic problems

Python

10.21105/joss.05873

published Published over 1 year ago

SIRUS.jl: Interpretable Machine Learning via Rule Extraction

Julia

10.21105/joss.05786

published Published about 2 years ago

TSInterpret: A Python Package for the Interpretability of Time Series Classification

Python

10.21105/joss.05220

published Published over 2 years ago

OpenRepGrid.ic: A software for Interpretive Clustering

R

10.21105/joss.03292

Displaying papers 1 - 10 of 24 in total

← PreviousNext →

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066