Saved in:
| Main Authors: | Fang, Xubin, Blum, Rick S., Freytag, Franziska |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.21023 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers
by: Fang, Xubin, et al.
Published: (2026)
by: Fang, Xubin, et al.
Published: (2026)
On Using the Shapley Value for Anomaly Localization: A Statistical Investigation
by: Rick S. Blum, et al.
Published: (2026)
by: Rick S. Blum, et al.
Published: (2026)
Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach
by: Fang, Xubin, et al.
Published: (2025)
by: Fang, Xubin, et al.
Published: (2025)
Unsupervised Anomaly Detection and Localization with Generative Adversarial Networks
by: Abdelli, Khouloud, et al.
Published: (2024)
by: Abdelli, Khouloud, et al.
Published: (2024)
Noncontact Respiratory Anomaly Detection Using Infrared Light-Wave Sensing
by: Islam, Md Zobaer, et al.
Published: (2023)
by: Islam, Md Zobaer, et al.
Published: (2023)
Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis
by: Cohen, Joseph, et al.
Published: (2023)
by: Cohen, Joseph, et al.
Published: (2023)
A Measurement Report Data-Driven Framework for Localized Statistical Channel Modeling
by: Qin, Xinyu, et al.
Published: (2025)
by: Qin, Xinyu, et al.
Published: (2025)
Abnormality Prediction and Forecasting of Laboratory Values from Electrocardiogram Signals Using Multimodal Deep Learning
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
Steam Turbine Anomaly Detection: An Unsupervised Learning Approach Using Enhanced Long Short-Term Memory Variational Autoencoder
by: Xu, Weiming, et al.
Published: (2024)
by: Xu, Weiming, et al.
Published: (2024)
EB-GAME: A Game-Changer in ECG Heartbeat Anomaly Detection
by: Park, JuneYoung, et al.
Published: (2024)
by: Park, JuneYoung, et al.
Published: (2024)
Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints
by: Yan, Wenzhong, et al.
Published: (2025)
by: Yan, Wenzhong, et al.
Published: (2025)
Bluetooth Low Energy Dataset Using In-Phase and Quadrature Samples for Indoor Localization
by: Leitch, Samuel G., et al.
Published: (2024)
by: Leitch, Samuel G., et al.
Published: (2024)
Anomaly detection by partitioning of multi-variate time series
by: Lotte, Pierre, et al.
Published: (2025)
by: Lotte, Pierre, et al.
Published: (2025)
Data-Driven Target Localization: Benchmarking Gradient Descent Using the Cramer-Rao Bound
by: Venkatasubramanian, Shyam, et al.
Published: (2024)
by: Venkatasubramanian, Shyam, et al.
Published: (2024)
Respiratory Anomaly Detection using Reflected Infrared Light-wave Signals
by: Islam, Md Zobaer, et al.
Published: (2023)
by: Islam, Md Zobaer, et al.
Published: (2023)
Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector
by: Yuan, Yachao, et al.
Published: (2024)
by: Yuan, Yachao, et al.
Published: (2024)
Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
by: Gueterbock, Finn, et al.
Published: (2025)
by: Gueterbock, Finn, et al.
Published: (2025)
Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly Detection
by: Wang, Xiancheng, et al.
Published: (2025)
by: Wang, Xiancheng, et al.
Published: (2025)
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems
by: Gomez, Pere Izquierdo, et al.
Published: (2023)
by: Gomez, Pere Izquierdo, et al.
Published: (2023)
Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model
by: Li, Yangmeng, et al.
Published: (2026)
by: Li, Yangmeng, et al.
Published: (2026)
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications
by: Chughtai, Aamir Hussain
Published: (2025)
by: Chughtai, Aamir Hussain
Published: (2025)
Exponentially Consistent Statistical Classification of Continuous Sequences with Distribution Uncertainty
by: Zhu, Lina, et al.
Published: (2024)
by: Zhu, Lina, et al.
Published: (2024)
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrolling
by: Schynol, Lukas, et al.
Published: (2024)
by: Schynol, Lukas, et al.
Published: (2024)
Pattern-Based Time-Series Risk Scoring for Anomaly Detection and Alert Filtering -- A Predictive Maintenance Case Study
by: Liebman, Elad
Published: (2024)
by: Liebman, Elad
Published: (2024)
Nonparametric Bellman Mappings for Value Iteration in Distributed Reinforcement Learning
by: Akiyama, Yuki, et al.
Published: (2025)
by: Akiyama, Yuki, et al.
Published: (2025)
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
by: Navarro, Madeline, et al.
Published: (2024)
by: Navarro, Madeline, et al.
Published: (2024)
Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery
by: Zhang, Xiaochen, et al.
Published: (2025)
by: Zhang, Xiaochen, et al.
Published: (2025)
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network
by: Yang, Pu, et al.
Published: (2025)
by: Yang, Pu, et al.
Published: (2025)
Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model
by: Didi, Liad Lea, et al.
Published: (2024)
by: Didi, Liad Lea, et al.
Published: (2024)
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
by: Barrett, Travis, et al.
Published: (2025)
by: Barrett, Travis, et al.
Published: (2025)
A Survey of Anomaly Detection in In-Vehicle Networks
by: Özdemir, Övgü, et al.
Published: (2024)
by: Özdemir, Övgü, et al.
Published: (2024)
Environmental Feature Engineering and Statistical Validation for ML-Based Path Loss Prediction
by: Ethier, Jonathan, et al.
Published: (2025)
by: Ethier, Jonathan, et al.
Published: (2025)
On the Detection and Quantification of Nonlinearity via Statistics of the Gradients of a Black-Box Model
by: Tsialiamanis, G., et al.
Published: (2023)
by: Tsialiamanis, G., et al.
Published: (2023)
TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network
by: Bui, Nhat-Tan, et al.
Published: (2023)
by: Bui, Nhat-Tan, et al.
Published: (2023)
A Statistical Mixture-of-Experts Framework for EMG Artifact Removal in EEG: Empirical Insights and a Proof-of-Concept Application
by: Choi, Benjamin J., et al.
Published: (2025)
by: Choi, Benjamin J., et al.
Published: (2025)
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
by: Dehrouyeh, Fatemeh, et al.
Published: (2025)
by: Dehrouyeh, Fatemeh, et al.
Published: (2025)
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition
by: Zuo, Si, et al.
Published: (2023)
by: Zuo, Si, et al.
Published: (2023)
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment
by: Albuquerque, Isabela, et al.
Published: (2019)
by: Albuquerque, Isabela, et al.
Published: (2019)
Mismatch-Robust Underwater Acoustic Localization Using A Differentiable Modular Forward Model
by: Kari, Dariush, et al.
Published: (2025)
by: Kari, Dariush, et al.
Published: (2025)
Similar Items
-
Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers
by: Fang, Xubin, et al.
Published: (2026) -
On Using the Shapley Value for Anomaly Localization: A Statistical Investigation
by: Rick S. Blum, et al.
Published: (2026) -
Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach
by: Fang, Xubin, et al.
Published: (2025) -
Unsupervised Anomaly Detection and Localization with Generative Adversarial Networks
by: Abdelli, Khouloud, et al.
Published: (2024) -
Noncontact Respiratory Anomaly Detection Using Infrared Light-Wave Sensing
by: Islam, Md Zobaer, et al.
Published: (2023)