Pinned Repositories
ceml
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
DataPoisoningCounterfactuals
"The Effect of Data Poisoning on Counterfactual Explanations" by André Artelt et al.
DAWIDD
FairnessRobustnessContrastingExplanations
GraphPlayground
GraphPlayground
KeystrokeDynamicsForUserIdentification
Machine Learning for building a system that can identify a person based on keystroke dynamics.
ModelAgnosticGroupFairnessCounterfactuals
"'Explain it in the Same Way!' -- Model-Agnostic Group Fairness of Counterfactual Explanations" by André Artelt and Barbara Hammer
SimpleRESTServer
Simple and minimalistic REST server written in C#
TwoStageMultiinstCFs
"A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations" by Artelt et al.
OnTheComputationOfCounterfactualExplanations
On the computation of counterfactual explanations - A survey by André Artelt and Barbara Hammer
andreArtelt's Repositories
andreArtelt/ceml
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
andreArtelt/FairnessRobustnessContrastingExplanations
andreArtelt/DAWIDD
andreArtelt/ConvexDensityConstraintsForPlausibleCounterfactuals
andreArtelt/EPyT
EPyT: An EPANET-Python Toolkit for Smart Water Network Simulations
andreArtelt/GraphPlayground
GraphPlayground
andreArtelt/TwoStageMultiinstCFs
"A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations" by Artelt et al.
andreArtelt/ActionableCounterfactualsConvexProgramming
andreArtelt/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
andreArtelt/DataPoisoningCounterfactuals
"The Effect of Data Poisoning on Counterfactual Explanations" by André Artelt et al.
andreArtelt/ModelAgnosticGroupFairnessCounterfactuals
"'Explain it in the Same Way!' -- Model-Agnostic Group Fairness of Counterfactual Explanations" by André Artelt and Barbara Hammer
andreArtelt/andreArtelt.github.io
andreArtelt/atmn
Automation Toolbox for Machine learning in water Networks
andreArtelt/Contrasting-Explanation-of-Concept-Drift
andreArtelt/ContrastingExplanationDimRed
andreArtelt/contrastive_explanations
andreArtelt/ContrastiveExplanationsForModelAdaptations
andreArtelt/CounterfactualMetrics
andreArtelt/DiverseSemifactualsReject
andreArtelt/drifting-data-in-continuous-time
A probability theoretic approach to drifting data in continuous time domains
andreArtelt/efficient_computation_counterfactuals_lvq
andreArtelt/EnsembleConsistentExplanations
andreArtelt/explaining_lvq_reject
andreArtelt/IntroAlienZoo
Introducing the Alien Zoo approach: An experimental framework for evaluating counterfactual explanations for ML
andreArtelt/LocalModelAgnosticExplanationReject
andreArtelt/PlausibleAlienZoo
Code, user data, and evaluation scripts for the Plausible Alien Zoo study
andreArtelt/SAM-kNN-Regressor_OnlineLearning_WDNs
andreArtelt/SAM-MLKR
Code for the paper 'Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams'
andreArtelt/sensor-fault-detection
andreArtelt/UnsupervisedUnlearningConceptDriftAutoencoders
Unsupervised Unlearning of Concept Drift with Autoencoders by André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou and Barbara Hammer