Saved in:
| Main Authors: | Capezza, Christian, Lepore, Antonio, Paynabar, Kamran |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.12563 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Registration-Free Monitoring of Unstructured Point Cloud Data via Intrinsic Geometrical Properties
by: Patalano, Mariafrancesca, et al.
Published: (2025)
by: Patalano, Mariafrancesca, et al.
Published: (2025)
Simultaneous Monitoring of Shape and Surface Color via 4D Point Clouds: A Registration-free Approach
by: Patalano, Mariafrancesca, et al.
Published: (2026)
by: Patalano, Mariafrancesca, et al.
Published: (2026)
Tensor-on-tensor Regression Neural Networks for Process Modeling with High-dimensional Data
by: Wang, Qian, et al.
Published: (2025)
by: Wang, Qian, et al.
Published: (2025)
Tensorized Multi-Task Learning for Personalized Modeling of Heterogeneous Individuals with High-Dimensional Data
by: Konyar, Elif, et al.
Published: (2025)
by: Konyar, Elif, et al.
Published: (2025)
Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models
by: Baghi, Melika, et al.
Published: (2026)
by: Baghi, Melika, et al.
Published: (2026)
An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity
by: Pyeon, Junghee, et al.
Published: (2025)
by: Pyeon, Junghee, et al.
Published: (2025)
Monitoring Covariance in Multichannel Profiles via Functional Graphical Models
by: Capezza, Christian, et al.
Published: (2026)
by: Capezza, Christian, et al.
Published: (2026)
Optimal Labeler Assignment and Sampling for Active Learning in the Presence of Imperfect Labels
by: Ahadi, Pouya, et al.
Published: (2025)
by: Ahadi, Pouya, et al.
Published: (2025)
RDDPM: Robust Denoising Diffusion Probabilistic Model for Unsupervised Anomaly Segmentation
by: Moradi, Mehrdad, et al.
Published: (2025)
by: Moradi, Mehrdad, et al.
Published: (2025)
Bayesian Optimization for Function-Valued Responses under Min-Max Criteria
by: Ahadi, Pouya, et al.
Published: (2025)
by: Ahadi, Pouya, et al.
Published: (2025)
Multivariate Time Series Data Imputation via Distributionally Robust Regularization
by: Liao, Che-Yi, et al.
Published: (2026)
by: Liao, Che-Yi, et al.
Published: (2026)
Robust Multivariate Functional Control Chart
by: Capezza, Christian, et al.
Published: (2022)
by: Capezza, Christian, et al.
Published: (2022)
Functional Mixture Regression Control Chart
by: Capezza, Christian, et al.
Published: (2024)
by: Capezza, Christian, et al.
Published: (2024)
An Adaptive Multivariate Functional EWMA Control Chart
by: Capezza, Christian, et al.
Published: (2024)
by: Capezza, Christian, et al.
Published: (2024)
A Single Image Is All You Need: Zero-Shot Anomaly Localization Without Training Data
by: Moradi, Mehrdad, et al.
Published: (2025)
by: Moradi, Mehrdad, et al.
Published: (2025)
Single-Step Reconstruction-Free Anomaly Detection and Segmentation via Diffusion Models
by: Moradi, Mehrdad, et al.
Published: (2025)
by: Moradi, Mehrdad, et al.
Published: (2025)
funcharts: Control charts for multivariate functional data in R
by: Capezza, Christian, et al.
Published: (2022)
by: Capezza, Christian, et al.
Published: (2022)
Stream-Based Monitoring of Algorithmic Fairness
by: Baumeister, Jan, et al.
Published: (2025)
by: Baumeister, Jan, et al.
Published: (2025)
Monitoring Machine Learning Forecasts for Platform Data Streams
by: Rombouts, Jeroen, et al.
Published: (2024)
by: Rombouts, Jeroen, et al.
Published: (2024)
Adaptive Stream Processing on Edge Devices through Active Inference
by: Sedlak, Boris, et al.
Published: (2024)
by: Sedlak, Boris, et al.
Published: (2024)
Neural Active Learning Meets the Partial Monitoring Framework
by: Heuillet, Maxime, et al.
Published: (2024)
by: Heuillet, Maxime, et al.
Published: (2024)
Hybrid Unsupervised Learning Strategy for Monitoring Industrial Batch Processes
by: Frey, Christian W.
Published: (2024)
by: Frey, Christian W.
Published: (2024)
A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes
by: Muritala, Faruk, et al.
Published: (2026)
by: Muritala, Faruk, et al.
Published: (2026)
Deep Neural Network Emulation of the Quantum-Classical Transition via Learned Wigner Function Dynamics
by: Majid, Kamran
Published: (2025)
by: Majid, Kamran
Published: (2025)
Active Learning for WBAN-based Health Monitoring
by: Chiu, Cho-Chun, et al.
Published: (2024)
by: Chiu, Cho-Chun, et al.
Published: (2024)
Active Learning with Weak Supervision for Gaussian Processes
by: Olmin, Amanda, et al.
Published: (2022)
by: Olmin, Amanda, et al.
Published: (2022)
Model-Based Exploration in Monitored Markov Decision Processes
by: Kazemipour, Alireza, et al.
Published: (2025)
by: Kazemipour, Alireza, et al.
Published: (2025)
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
by: Belakaria, Syrine, et al.
Published: (2024)
by: Belakaria, Syrine, et al.
Published: (2024)
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks
by: Malialis, Kleanthis, et al.
Published: (2025)
by: Malialis, Kleanthis, et al.
Published: (2025)
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning
by: Das, Shubhomoy, et al.
Published: (2019)
by: Das, Shubhomoy, et al.
Published: (2019)
A Dual-Stream Physics-Augmented Unsupervised Architecture for Runtime Embedded Vehicle Health Monitoring
by: Spotorno, Enzo Nicolas, et al.
Published: (2026)
by: Spotorno, Enzo Nicolas, et al.
Published: (2026)
Distributionally Robust Active Learning for Gaussian Process Regression
by: Takeno, Shion, et al.
Published: (2025)
by: Takeno, Shion, et al.
Published: (2025)
ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System
by: Pandey, Rahul, et al.
Published: (2024)
by: Pandey, Rahul, et al.
Published: (2024)
Leveraging Data Augmentation and Siamese Learning for Predictive Process Monitoring
by: van Straten, Sjoerd, et al.
Published: (2025)
by: van Straten, Sjoerd, et al.
Published: (2025)
Uncertainty for Active Learning on Graphs
by: Fuchsgruber, Dominik, et al.
Published: (2024)
by: Fuchsgruber, Dominik, et al.
Published: (2024)
Batch Active Learning in Gaussian Process Regression using Derivatives
by: Yu, Hon Sum Alec, et al.
Published: (2024)
by: Yu, Hon Sum Alec, et al.
Published: (2024)
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
by: Tebbe, Jörn, et al.
Published: (2024)
by: Tebbe, Jörn, et al.
Published: (2024)
Safe Active Learning for Time-Series Modeling with Gaussian Processes
by: Zimmer, Christoph, et al.
Published: (2024)
by: Zimmer, Christoph, et al.
Published: (2024)
Monitored Markov Decision Processes
by: Parisi, Simone, et al.
Published: (2024)
by: Parisi, Simone, et al.
Published: (2024)
Active Learning for Manifold Gaussian Process Regression
by: Cheng, Yuanxing, et al.
Published: (2025)
by: Cheng, Yuanxing, et al.
Published: (2025)
Similar Items
-
Registration-Free Monitoring of Unstructured Point Cloud Data via Intrinsic Geometrical Properties
by: Patalano, Mariafrancesca, et al.
Published: (2025) -
Simultaneous Monitoring of Shape and Surface Color via 4D Point Clouds: A Registration-free Approach
by: Patalano, Mariafrancesca, et al.
Published: (2026) -
Tensor-on-tensor Regression Neural Networks for Process Modeling with High-dimensional Data
by: Wang, Qian, et al.
Published: (2025) -
Tensorized Multi-Task Learning for Personalized Modeling of Heterogeneous Individuals with High-Dimensional Data
by: Konyar, Elif, et al.
Published: (2025) -
Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models
by: Baghi, Melika, et al.
Published: (2026)