André Artelt

77 papers A* 1B 9C 3Misc 1Journal 46Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Interpretable event diagnosis in water distribution networks.
Intell. Syst. Appl.
André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Ulrike Kuhl, Barbara Hammer, Marios M. Polycarpou
2026 J jnl
On the Hardness of Computing Counterfactual and Semifactual Explanations in XAI.
CoRR
André Artelt, Martin Olsen, Kevin Tierney
2026 J jnl
The effect of data poisoning on counterfactual explanations.
Inf. Fusion
André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer
2025 J jnl
A Benchmark for Physics-informed Machine Learning of Chlorine Concentration States in Water Distribution Networks.
SN Comput. Sci.
Luca Hermes, André Artelt, Stelios G. Vrachimis, Marios M. Polycarpou, Barbara Hammer
2025 J jnl
Explainable AI, energy and critical infrastructure systems.
AI Mag.
Francesco Leofante, André Artelt, Demetrios G. Eliades, Anna Korre, Francesca Toni, Tim Miller
2025 J jnl
Interpretable Event Diagnosis in Water Distribution Networks.
CoRR
André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Ulrike Kuhl, Barbara Hammer, Marios M. Polycarpou
2025 — conf
Neural Surrogate Model in an Extended Kalman Filter for Chlorine Concentration State Estimation in Water Distribution Systems.
SysTol
André Artelt, Janine Strotherm, Luca Hermes, Barbara Hammer
2025 J jnl
On the Hardness of Computing Counterfactual and Semi-factual Explanations in XAI.
Trans. Mach. Learn. Res.
André Artelt, Martin Olsen, Kevin Tierney
2025 B conf
Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems.
IJCNN
Inaam Ashraf, André Artelt, Barbara Hammer
2025 J jnl
Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems.
CoRR
Inaam Ashraf, André Artelt, Barbara Hammer
2025 — conf
Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals.
ICANN (4)
Andreas Mazur, Henning Peters, André Artelt, Lukas Koller, Christoph Hartmann, Ansgar Trächtler, Barbara Hammer
2025 J jnl
The Battle of the Water Futures.
CoRR
Dennis Zanutto, Christos Michalopoulos, Lydia Tsiami, André Artelt, Jasmin Brandt, Demetrios G. Eliades, Stelios G. Vrachimis, Stefano Alvisi, Valentina Marsili, Filippo Mazzoni, Panagiotis Smartzis, Barbara Hammer, Phoebe Koundouri, Marios M. Polycarpou, Dragan Savic
2024 J jnl
A Toolbox for Supporting Research on AI in Water Distribution Networks.
CoRR
André Artelt, Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, Barbara Hammer, Marios M. Polycarpou
2024 — conf
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
André Artelt, Andreas Gregoriades
2024 J jnl
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations.
CoRR
André Artelt, Andreas Gregoriades
2024 J jnl
Analyzing the Influence of Training Samples on Explanations.
CoRR
André Artelt, Barbara Hammer
2024 — conf
Application of Multi-Instance Counterfactual Explanation in Road Safety Analysis.
ATT@ECAI
André Artelt, Andreas Gregoriades
2024 J jnl
Challenges, Methods, Data - a Survey of Machine Learning in Water Distribution Networks.
CoRR
Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2024 — conf
Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks.
ICANN (9)
Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2024 — —
Contrasting Explanations in Machine Learning. Efficiency, Robustness & Applications.
André Artelt
2024 J jnl
EPyT-Flow: A Toolkit for Generating Water Distribution Network Data.
J. Open Source Softw.
André Artelt, Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, Barbara Hammer, Marios M. Polycarpou
2024 Misc conf
Let Me Explain What I Did or What I Would Have Done: An Empirical Study on the Effects of Explanations and Person-Likeness on Trust in and Understanding of Algorithms.
NordiCHI
Jessica M. Szczuka, Aike C. Horstmann, Natalia Szymczyk, Clara Strathmann, André Artelt, Lina Mavrina, Nicole C. Krämer
2024 J jnl
Supporting organizational decisions on How to improve customer repurchase using multi-instance counterfactual explanations.
Decis. Support Syst.
André Artelt, Andreas Gregoriades
2024 J jnl
The Effect of Data Poisoning on Counterfactual Explanations.
CoRR
André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer
2023 — conf
"How to Make Them Stay?": Diverse Counterfactual Explanations of Employee Attrition.
ICEIS (1)
André Artelt, Andreas Gregoriades
2023 J jnl
"How to make them stay?" - Diverse Counterfactual Explanations of Employee Attrition.
CoRR
André Artelt, Andreas Gregoriades
2023 J jnl
"I do not know! but why?" - Local model-agnostic example-based explanations of reject.
Neurocomputing
André Artelt, Roel Visser, Barbara Hammer
2023 C conf
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction.
ICPRAM
André Artelt, Alexander Schulz, Barbara Hammer
2023 — conf
Adversarial Attacks on Leakage Detectors in Water Distribution Networks.
IWANN (2)
Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer
2023 J jnl
Adversarial Attacks on Leakage Detectors in Water Distribution Networks.
CoRR
Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer
2023 J jnl
Contrasting Explanations for Understanding and Regularizing Model Adaptations.
Neural Process. Lett.
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
2023 — conf
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI.
xAI (3)
Ulrike Kuhl, André Artelt, Barbara Hammer
2023 J jnl
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI.
CoRR
Ulrike Kuhl, André Artelt, Barbara Hammer
2023 J jnl
Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams.
Appl. Artif. Intell.
Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
2023 J jnl
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning.
Frontiers Comput. Sci.
Ulrike Kuhl, André Artelt, Barbara Hammer
2023 B conf
Spatial Graph Convolution Neural Networks for Water Distribution Systems.
IDA
Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer
2023 — conf
Unsupervised Unlearning of Concept Drift with Autoencoders.
SSCI
André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2022 — conf
"Even if ..." - Diverse Semifactual Explanations of Reject.
SSCI
André Artelt, Barbara Hammer
2022 J jnl
"Even if ..." - Diverse Semifactual Explanations of Reject.
CoRR
André Artelt, Barbara Hammer
2022 J jnl
"Explain it in the Same Way!" - Model-Agnostic Group Fairness of Counterfactual Explanations.
CoRR
André Artelt, Barbara Hammer
2022 J jnl
"Why Here and Not There?" - Diverse Contrasting Explanations of Dimensionality Reduction.
CoRR
André Artelt, Alexander Schulz, Barbara Hammer
2022 B conf
Contrasting Explanation of Concept Drift.
ESANN
Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
2022 J jnl
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers.
Neurocomputing
André Artelt, Barbara Hammer
2022 C conf
Explainable Artificial Intelligence for Improved Modeling of Processes.
IDEAL
Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer
2022 J jnl
Explainable Artificial Intelligence for Improved Modeling of Processes.
CoRR
Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer
2022 C conf
Explaining Reject Options of Learning Vector Quantization Classifiers.
IJCCI
André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
2022 J jnl
Explaining Reject Options of Learning Vector Quantization Classifiers.
CoRR
André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
2022 B conf
Improving Zorro Explanations for Sparse Observations with Dense Proxy Data.
ESANN
Andreas Mazur, André Artelt, Barbara Hammer
2022 — conf
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting.
FAccT
Ulrike Kuhl, André Artelt, Barbara Hammer
2022 J jnl
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting.
CoRR
Ulrike Kuhl, André Artelt, Barbara Hammer
2022 J jnl
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning.
CoRR
Ulrike Kuhl, André Artelt, Barbara Hammer
2022 B conf
Localization of Concept Drift: Identifying the Drifting Datapoints.
IJCNN
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer
2022 B conf
Model Agnostic Local Explanations of Reject.
ESANN
André Artelt, Roel Visser, Barbara Hammer
2022 J jnl
Model Agnostic Local Explanations of Reject.
CoRR
André Artelt, Roel Visser, Barbara Hammer
2022 J jnl
One Explanation to Rule them All - Ensemble Consistent Explanations.
CoRR
André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Marios M. Polycarpou, Barbara Hammer
2022 J jnl
Precise Change Point Detection using Spectral Drift Detection.
CoRR
Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
2022 — conf
SAM-kNN Regressor for Online Learning in Water Distribution Networks.
ICANN (3)
Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
2022 J jnl
SAM-kNN Regressor for Online Learning in Water Distribution Networks.
CoRR
Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
2022 J jnl
Spatial Graph Convolution Neural Networks for Water Distribution Systems.
CoRR
Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer
2022 — conf
Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks.
ICANN (2)
Valerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer
2022 J jnl
Unsupervised Unlearning of Concept Drift with Autoencoders.
CoRR
André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2021 — conf
Contrastive Explanations for Explaining Model Adaptations.
IWANN (1)
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
2021 J jnl
Contrastive Explanations for Explaining Model Adaptations.
CoRR
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
2021 J jnl
Convex optimization for actionable \& plausible counterfactual explanations.
CoRR
André Artelt, Barbara Hammer
2021 B conf
Efficient computation of contrastive explanations.
IJCNN
André Artelt, Barbara Hammer
2021 — conf
Evaluating Robustness of Counterfactual Explanations.
SSCI
André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer
2021 J jnl
Fairness and Robustness of Contrasting Explanations.
CoRR
André Artelt, Barbara Hammer
2020 B conf
Adversarial Attacks Hidden in Plain Sight.
IDA
Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer
2020 — conf
Convex Density Constraints for Computing Plausible Counterfactual Explanations.
ICANN (1)
André Artelt, Barbara Hammer
2020 J jnl
Convex Density Constraints for Computing Plausible Counterfactual Explanations.
CoRR
André Artelt, Barbara Hammer
2020 J jnl
Efficient computation of contrastive explanations.
CoRR
André Artelt, Barbara Hammer
2020 B conf
Efficient computation of counterfactual explanations of LVQ models.
ESANN
André Artelt, Barbara Hammer
2020 J jnl
Kinder als Nutzende smarter Sprachassistenten.
Datenschutz und Datensicherheit
Christian L. Geminn, Jessica M. Szczuka, Carina Weber, André Artelt, Lina Varonina
2020 A* conf
Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD).
ICML
Fabian Hinder, André Artelt, Barbara Hammer
2019 J jnl
A probability theoretic approach to drifting data in continuous time domains.
CoRR
Fabian Hinder, André Artelt, Barbara Hammer
2019 J jnl
Efficient computation of counterfactual explanations of LVQ models.
CoRR
André Artelt, Barbara Hammer
2019 J jnl
On the computation of counterfactual explanations - A survey.
CoRR
André Artelt, Barbara Hammer