Challenges, Methods, Data -- a Survey of Machine Learning in Water Distribution Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Vaquet, Valerie, Hinder, Fabian, Artelt, André, Ashraf, Inaam, Strotherm, Janine, Vaquet, Jonas, Brinkrolf, Johannes, Hammer, Barbara |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Drift Localization using Conformal Predictions
by: Hinder, Fabian, et al.
Published: (2026)
by: Hinder, Fabian, et al.
Published: (2026)
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks
by: Vaquet, Valerie, et al.
Published: (2024)
by: Vaquet, Valerie, et al.
Published: (2024)
Adversarial Attacks for Drift Detection
by: Hinder, Fabian, et al.
Published: (2024)
by: Hinder, Fabian, et al.
Published: (2024)
FairGLVQ: Fairness in Partition-Based Classification
by: Störck, Felix, et al.
Published: (2024)
by: Störck, Felix, et al.
Published: (2024)
Localizing Anomalies in Critical Infrastructure using Model-Based Drift Explanations
by: Vaquet, Valerie, et al.
Published: (2023)
by: Vaquet, Valerie, et al.
Published: (2023)
An Algorithm-Centered Approach To Model Streaming Data
by: Hinder, Fabian, et al.
Published: (2024)
by: Hinder, Fabian, et al.
Published: (2024)
Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems
by: Ashraf, Inaam, et al.
Published: (2025)
by: Ashraf, Inaam, et al.
Published: (2025)
Physics-Informed Graph Neural Networks for Water Distribution Systems
by: Ashraf, Inaam, et al.
Published: (2024)
by: Ashraf, Inaam, et al.
Published: (2024)
Causal Explanation of Concept Drift -- A Truly Actionable Approach
by: Komnick, David, et al.
Published: (2025)
by: Komnick, David, et al.
Published: (2025)
Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data
by: Lammers, Kathrin, et al.
Published: (2025)
by: Lammers, Kathrin, et al.
Published: (2025)
Fairness-Enhancing Ensemble Classification in Water Distribution Networks
by: Strotherm, Janine, et al.
Published: (2024)
by: Strotherm, Janine, et al.
Published: (2024)
Towards Understanding the Influence of Training Samples on Explanations
by: Artelt, André, et al.
Published: (2024)
by: Artelt, André, et al.
Published: (2024)
Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods
by: Störck, Felix, et al.
Published: (2025)
by: Störck, Felix, et al.
Published: (2025)
Existence and Uniqueness of Physically Correct Hydraulic States in Water Distribution Systems -- A theoretical analysis on the solvability of non-linear systems of equations in the context of water distribution systems
by: Strotherm, Janine, et al.
Published: (2025)
by: Strotherm, Janine, et al.
Published: (2025)
Fairness in KI-Systemen
by: Strotherm, Janine, et al.
Published: (2023)
by: Strotherm, Janine, et al.
Published: (2023)
The Effect of Data Poisoning on Counterfactual Explanations
by: Artelt, André, et al.
Published: (2024)
by: Artelt, André, et al.
Published: (2024)
Interpretable Event Diagnosis in Water Distribution Networks
by: Artelt, André, et al.
Published: (2025)
by: Artelt, André, et al.
Published: (2025)
Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
by: Muschalik, Maximilian, et al.
Published: (2025)
by: Muschalik, Maximilian, et al.
Published: (2025)
Conceptualizing Uncertainty: A Concept-based Approach to Explaining Uncertainty
by: Roberts, Isaac, et al.
Published: (2025)
by: Roberts, Isaac, et al.
Published: (2025)
Large Language Models Do Not Simulate Human Psychology
by: Schröder, Sarah, et al.
Published: (2025)
by: Schröder, Sarah, et al.
Published: (2025)
A Toolbox for Supporting Research on AI in Water Distribution Networks
by: Artelt, André, et al.
Published: (2024)
by: Artelt, André, et al.
Published: (2024)
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations
by: Artelt, André, et al.
Published: (2024)
by: Artelt, André, et al.
Published: (2024)
Semantic Properties of cosine based bias scores for word embeddings
by: Schröder, Sarah, et al.
Published: (2024)
by: Schröder, Sarah, et al.
Published: (2024)
On the Hardness of Computing Counterfactual and Semifactual Explanations in XAI
by: Artelt, André, et al.
Published: (2026)
by: Artelt, André, et al.
Published: (2026)
shapiq: Shapley Interactions for Machine Learning
by: Muschalik, Maximilian, et al.
Published: (2024)
by: Muschalik, Maximilian, et al.
Published: (2024)
Improving Line Search Methods for Large Scale Neural Network Training
by: Kenneweg, Philip, et al.
Published: (2024)
by: Kenneweg, Philip, et al.
Published: (2024)
Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers
by: Kenneweg, Philip, et al.
Published: (2024)
by: Kenneweg, Philip, et al.
Published: (2024)
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
by: Muschalik, Maximilian, et al.
Published: (2024)
by: Muschalik, Maximilian, et al.
Published: (2024)
Evaluating Metrics for Bias in Word Embeddings
by: Schröder, Sarah, et al.
Published: (2021)
by: Schröder, Sarah, et al.
Published: (2021)
The Price of Adaptivity in Stochastic Convex Optimization
by: Carmon, Yair, et al.
Published: (2024)
by: Carmon, Yair, et al.
Published: (2024)
Making SGD Parameter-Free
by: Carmon, Yair, et al.
Published: (2022)
by: Carmon, Yair, et al.
Published: (2022)
No learning rates needed: Introducing SALSA -- Stable Armijo Line Search Adaptation
by: Kenneweg, Philip, et al.
Published: (2024)
by: Kenneweg, Philip, et al.
Published: (2024)
Faster Convergence for Transformer Fine-tuning with Line Search Methods
by: Kenneweg, Philip, et al.
Published: (2024)
by: Kenneweg, Philip, et al.
Published: (2024)
Probabilistic Scoring Lists for Interpretable Machine Learning
by: Hanselle, Jonas, et al.
Published: (2024)
by: Hanselle, Jonas, et al.
Published: (2024)
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
by: Arweiler, Justus, et al.
Published: (2025)
by: Arweiler, Justus, et al.
Published: (2025)
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
by: Fumagalli, Fabian, et al.
Published: (2024)
by: Fumagalli, Fabian, et al.
Published: (2024)
Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges
by: Sahili, Zahraa Al, et al.
Published: (2024)
by: Sahili, Zahraa Al, et al.
Published: (2024)
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
by: Gohar, Usman, et al.
Published: (2024)
by: Gohar, Usman, et al.
Published: (2024)
GANs Conditioning Methods: A Survey
by: Bourou, Anis, et al.
Published: (2024)
by: Bourou, Anis, et al.
Published: (2024)
Generalization of Video-Based Heart Rate Estimation Methods To Low Illumination and Elevated Heart Rates
by: Acharya, Bhargav, et al.
Published: (2025)
by: Acharya, Bhargav, et al.
Published: (2025)
Similar Items
-
Drift Localization using Conformal Predictions
by: Hinder, Fabian, et al.
Published: (2026) -
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks
by: Vaquet, Valerie, et al.
Published: (2024) -
Adversarial Attacks for Drift Detection
by: Hinder, Fabian, et al.
Published: (2024) -
FairGLVQ: Fairness in Partition-Based Classification
by: Störck, Felix, et al.
Published: (2024) -
Localizing Anomalies in Critical Infrastructure using Model-Based Drift Explanations
by: Vaquet, Valerie, et al.
Published: (2023)