https://jp.mathworks.com/help/stats/lime.html
lime - Local interpretable model-agnostic explanations (LIME) - MATLAB
LIME explains a prediction of a machine learning model (classification or regression) for a query point by finding important predictors and fitting a simple...
model agnosticlimelocalexplanationsmatlab
https://carto.com/glossary/model-agnostic/
Model-Agnostic | CARTO
Model-Agnostic refers to CARTO's philosophy of not depending on a single AI provider. It gives the user the freedom to choose the one that best fits their...
model agnosticcarto
https://arxiv.org/abs/2210.04533
[2210.04533] Local Interpretable Model Agnostic Shap Explanations for machine learning models
Abstract page for arXiv paper 2210.04533: Local Interpretable Model Agnostic Shap Explanations for machine learning models
model agnostic
https://arxiv.org/abs/2205.15540v1
[2205.15540v1] MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation
Abstract page for arXiv paper 2205.15540v1: MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation
model agnosticmaceefficient
https://thierrymoudiki.github.io/blog/2024/12/15/python/agnostic-survival-analysis
survivalist: Probabilistic model-agnostic survival analysis using scikit-learn, glmnet, xgboost,...
Survival analysis is used to predict the time until an event of interest occurs. In this post, I show how to use scikit-learn, glmnet, xgboost, pytorch, kera...
probabilistic modelsurvival analysisscikit learnsurvivalistagnostic
https://data.mendeley.com/datasets/j4sd354jjr/1
MADHAT: Model-Agnostic Dark Halo Analysis Tool - Mendeley Data
We present the Model-Agnostic Dark Halo Analysis Tool (MADHAT), a numerical tool which implements a Fermi-LAT data-driven, model-independent analysis of...
model agnosticanalysis tooldarkhalomendeley
https://edoc.ub.uni-muenchen.de/36550/
Accelerating discovery: model-agnostic likelihoods for the reinterpretation of particle physics...
accelerating discoverymodel agnosticfor the
https://research.ibm.com/publications/robust-feature-based-model-agnostic-explainability-for-time-series-forecasting
Robust Feature Based Model Agnostic Explainability For Time Series Forecasting for INFORMS 2021 -...
Robust Feature Based Model Agnostic Explainability For Time Series Forecasting for INFORMS 2021 by Vikas Raykar et al.
time series forecastingmodel agnostic
https://www.mdpi.com/1424-8220/23/14/6337
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition
Activity recognition using data collected with smart devices such as mobile and wearable sensors has become a critical component of many emerging applications...
model agnostictransfer learningcross domainstructural
https://www.antasya.com/
Antasya | Model-Agnostic AI Agent Orchestration Platform
Production-ready infrastructure for scalable AI agents. Design agent graphs, attach tools, choose best LLM per agent, deploy with governance + monitoring.
ai agent orchestrationmodel agnosticplatform
https://thierrymoudiki.github.io/blog/2025/06/02/r/beyond-garch
Beyond ARMA-GARCH: leveraging model-agnostic Machine Learning and conformal prediction for...
A flexible hybrid approach to probabilistic stock forecasting that combines machine learning with ARCH effects, offering an alternative to traditional ARMA-G...
model agnostic
https://iptc.upm.es/publications/multicriteria-model-agnostic-counterfactual-explainability-for-classifiers/
Multicriteria model-agnostic counterfactual explainability for classifiers - IPTC
model agnosticexplainabilityclassifiersiptc
https://arxiv.org/abs/2412.03747
[2412.03747] Model-agnostic search for dijet resonances with anomalous jet substructure in...