andreArtelt

AnalyzingInfluenceTrainingSamplesExplanations

"Analyzing the Influence of Training Samples on Explanations" by André Artelt et al.

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.

FairnessRobustnessContrastingExplanations

IJCAI24-CF_Tut

IJCAI-24 Tutorial on Counterfactual Explanations: https://sites.google.com/view/tut-counterfactuals-ijcai24/

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.

EPyT-Flow

A high-level interface designed for the easy generation of hydraulic and water quality scenario data.

WaterBenchmarkHub

A platform for accessing and sharing Water Distribution Network benchmarks and data sets

andreArtelt/ceml

CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox

andreArtelt/IJCAI24-CF_Tut

IJCAI-24 Tutorial on Counterfactual Explanations: https://sites.google.com/view/tut-counterfactuals-ijcai24/

andreArtelt/FairnessRobustnessContrastingExplanations

andreArtelt/AnalyzingInfluenceTrainingSamplesExplanations

"Analyzing the Influence of Training Samples on Explanations" by André Artelt et al.

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/A-Benchmark-for-Physics-informed-Machine-Learning-of-Chlorine-States-in-Water-Distribution-Networks

This repository contains the benchmark and the implementation of the experiments from the paper "A Benchmark for Physics-informed Machine Learning of Chlorine States in Water Distribution Networks" by Luca Hermes, André Artelt, Stelios Vrachimis, Marios Polycarpou, 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/DiverseSemifactualsReject

andreArtelt/efficient_computation_counterfactuals_lvq

andreArtelt/EnsembleConsistentExplanations

andreArtelt/EPyT-Flow

A high-level interface designed for the easy generation of hydraulic and water quality scenario data.

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