Cover Image

Semi-Supervised Health Index Monitoring with Feature Generation and Fusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Frusque, Gaëtan, Nejjar, Ismail, Nabavi, Majid, Fink, Olga
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression
by: Nejjar, Ismail, et al.
Published: (2024)

Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring
by: Hu, Wenyang, et al.
Published: (2024)

NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation
by: Dong, Hao, et al.
Published: (2023)

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Sensor Fusion
by: Niresi, Keivan Faghih, et al.
Published: (2024)

IM-Context: In-Context Learning for Imbalanced Regression Tasks
by: Nejjar, Ismail, et al.
Published: (2024)

A Semi-Supervised Kernel Two-Sample Test
by: Lee, Gyumin, et al.
Published: (2026)

Semi-Supervised U-statistics
by: Kim, Ilmun, et al.
Published: (2024)

SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning
by: Shan, Jiawei, et al.
Published: (2025)

A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings
by: Chakrabortty, Abhishek, et al.
Published: (2022)

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers
by: Hsu, Chi-Ching, et al.
Published: (2025)

Semi-Supervised Mixture Models under the Concept of Missing at Radom with Margin Confidence and Aranda Ordaz Function
by: Liao, Jinyang, et al.
Published: (2026)

SSLfmm: An R Package for Semi-Supervised Learning with a Mixed-Missingness Mechanism in Finite Mixture Models
by: McLachlan, Geoffrey J., et al.
Published: (2025)

Nonlinear Principal Component Analysis with Random Bernoulli Features for Process Monitoring
by: Chen, Ke, et al.
Published: (2025)

Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
by: Chakrabortty, Abhishek, et al.
Published: (2022)

MAFS: Multi-head Attention Feature Selection for High-Dimensional Data via Deep Fusion of Filter Methods
by: Sun, Xiaoyan, et al.
Published: (2026)

SHAP-Based Supervised Clustering for Sample Classification and the Generalized Waterfall Plot
by: Lin, Justin, et al.
Published: (2025)

Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
by: Zhang, Yuqian, et al.
Published: (2021)

Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning
by: Liang, Ziyi, et al.
Published: (2025)

Semi-supervised learning for linear extremile regression
by: Jiang, Rong, et al.
Published: (2025)

Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)

K-Tensors: Clustering Positive Semi-Definite Matrices
by: Zhang, Hanchao, et al.
Published: (2023)

Supervised Manifold Learning for Functional Data
by: Tan, Ruoxu, et al.
Published: (2025)

Self-Supervised Learning with Gaussian Processes
by: Duan, Yunshan, et al.
Published: (2025)

Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
by: Jiang, Yicong, et al.
Published: (2025)

Data Fusion for High-Resolution Estimation
by: Guan, Amy, et al.
Published: (2025)

Clustering and Pruning in Causal Data Fusion
by: Tabell, Otto, et al.
Published: (2025)

Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
by: Tian, Ye, et al.
Published: (2024)

Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
by: O'Riordan, Michael, et al.
Published: (2025)

Bayesian Semi-Parametric Spatial Dispersed Count Model for Precipitation Analysis
by: Nadifar, Mahsa, et al.
Published: (2025)

Fractionally Supervised Classification with Maxima Nominated Samples
by: Jozani, Mohammad Jafari, et al.
Published: (2026)

A PLS-Integrated LASSO Method with Application in Index Tracking
by: Tang, Shiqin, et al.
Published: (2025)

Factorized Fusion Shrinkage for Dynamic Relational Data
by: Zhao, Peng, et al.
Published: (2022)

Data Fusion with Distributional Equivalence Test-then-pool
by: Yang, Linying, et al.
Published: (2026)

Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
by: Wang, Linshanshan, et al.
Published: (2025)

Doubly Robust Fusion of Many Treatments for Policy Learning
by: Zhu, Ke, et al.
Published: (2025)

Random Fourier Signature Features
by: Toth, Csaba, et al.
Published: (2023)

Task-tailored Pre-processing: Fair Downstream Supervised Learning
by: Sohn, Jinwon, et al.
Published: (2026)

The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models
by: Alabdallah, Abdallah, et al.
Published: (2022)

Label Noise Cleaning for Supervised Classification via Bernoulli Random Sampling
by: Liu, Yuxin, et al.
Published: (2026)