Enhancing Electrocardiography Data Classification Confidence: A Robust Gaussian Process Approach (MuyGPs)
Fuente:
arXiv
Saved in:
| Main Authors: | Nnyaba, Ukamaka V., Shemtaga, Hewan M., Collins, David W., Muyskens, Amanda L., Priest, Benjamin W., Billor, Nedret |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Scalable Gaussian Process Approach to Shear Mapping with MuyGPs
by: Sallaberry, Gregory, et al.
Published: (2024)
by: Sallaberry, Gregory, et al.
Published: (2024)
Stellar Blend Image Classification Using Computationally Efficient Gaussian Processes
by: Eleh, Chinedu, et al.
Published: (2024)
by: Eleh, Chinedu, et al.
Published: (2024)
A Robust Approach to Gaussian Processes Implementation
by: Mukangango, Juliette, et al.
Published: (2024)
by: Mukangango, Juliette, et al.
Published: (2024)
Robust Wrapped Gaussian Process Inference for Noisy Angular Data
by: Cooper, Andrew, et al.
Published: (2025)
by: Cooper, Andrew, et al.
Published: (2025)
Well-posedness of Keller-Segel systems on compact metric graphs
by: Shemtaga, Hewan, et al.
Published: (2024)
by: Shemtaga, Hewan, et al.
Published: (2024)
Clustering with Uniformity- and Neighbor-Based Random Geometric Graphs
by: Shi, Rui, et al.
Published: (2025)
by: Shi, Rui, et al.
Published: (2025)
Outlier Detection with Cluster Catch Digraphs
by: Shi, Rui, et al.
Published: (2024)
by: Shi, Rui, et al.
Published: (2024)
Outlyingness Scores with Cluster Catch Digraphs
by: Shi, Rui, et al.
Published: (2025)
by: Shi, Rui, et al.
Published: (2025)
Predicting Electricity Consumption with Random Walks on Gaussian Processes
by: Hashimoto-Cullen, Chloé, et al.
Published: (2024)
by: Hashimoto-Cullen, Chloé, et al.
Published: (2024)
Confidence Scoring for LLM-Generated SQL in Supply Chain Data Extraction
by: Ma, Jiekai, et al.
Published: (2025)
by: Ma, Jiekai, et al.
Published: (2025)
A Likelihood Approach to Incorporating Self-Report Data in HIV Recency Classification
by: Yang, Wenlong, et al.
Published: (2023)
by: Yang, Wenlong, et al.
Published: (2023)
A Scalable Bayesian Spatiotemporal Model for Water Level Predictions using a Nearest Neighbor Gaussian Process Approach
by: Nagahama, Victor Hugo, et al.
Published: (2024)
by: Nagahama, Victor Hugo, et al.
Published: (2024)
Identifiability and Sensitivity Analysis of Kriging Weights for the Matern Kernel
by: Muyskens, Amanda, et al.
Published: (2024)
by: Muyskens, Amanda, et al.
Published: (2024)
Correspondence of NNGP Kernel and the Matern Kernel
by: Muyskens, Amanda, et al.
Published: (2024)
by: Muyskens, Amanda, et al.
Published: (2024)
Mind the Jumps: A Scalable Robust Local Gaussian Process for Multidimensional Response Surfaces with Discontinuities
by: Adjetey, Isaac, et al.
Published: (2025)
by: Adjetey, Isaac, et al.
Published: (2025)
Gaussian Process with dissolution spline kernel
by: Murphy, Fiona, et al.
Published: (2024)
by: Murphy, Fiona, et al.
Published: (2024)
A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
by: Gosnell, Arron, et al.
Published: (2024)
by: Gosnell, Arron, et al.
Published: (2024)
Mutually Exciting Point Processes for Crowdfunding Platform Dynamics
by: Djorno, Alexandra, et al.
Published: (2024)
by: Djorno, Alexandra, et al.
Published: (2024)
A Variance Decomposition Approach to Inconclusives in Forensic Black Box Studies
by: Luby, Amanda, et al.
Published: (2025)
by: Luby, Amanda, et al.
Published: (2025)
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer
by: Rønneberg, Leiv, et al.
Published: (2024)
by: Rønneberg, Leiv, et al.
Published: (2024)
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)
by: Fisher, Jared D., et al.
Published: (2024)
A Sensitivity Analysis Framework for Quantifying Confidence in Decisions in the Presence of Data Uncertainty
by: Wadekar, Adway S., et al.
Published: (2025)
by: Wadekar, Adway S., et al.
Published: (2025)
Integrated Gaussian Processes for Robust and Adaptive Multi-Object Tracking
by: Lydeard, Fred, et al.
Published: (2025)
by: Lydeard, Fred, et al.
Published: (2025)
A Gaussian Process Regression IV Model for PV Outdoor Data
by: Timon S. Vaas, et al.
Published: (2025)
by: Timon S. Vaas, et al.
Published: (2025)
Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
by: Dimitriou, Evangelos, et al.
Published: (2024)
by: Dimitriou, Evangelos, et al.
Published: (2024)
Vector Optimization with Gaussian Process Bandits
by: Korkmaz, İlter Onat, et al.
Published: (2024)
by: Korkmaz, İlter Onat, et al.
Published: (2024)
Exchangeable Gaussian Processes with application to epidemics
by: Bouranis, Lampros, et al.
Published: (2025)
by: Bouranis, Lampros, et al.
Published: (2025)
Analyzing Pension Fund Mortality with Gaussian Processes in a Sub Population Framework
by: de Melo, Eduardo F. L., et al.
Published: (2025)
by: de Melo, Eduardo F. L., et al.
Published: (2025)
Estimating Velocity Vector Fields of Atmospheric Winds using Transport Gaussian Processes
by: Fahmy, Youssef, et al.
Published: (2025)
by: Fahmy, Youssef, et al.
Published: (2025)
Gaussian Process Modeling with Genotype x Environment Kernels for Wheat Performance Prediction
by: Friedli, Lea, et al.
Published: (2025)
by: Friedli, Lea, et al.
Published: (2025)
Log-Gaussian Cox Processes for Spatiotemporal Traffic Fatality Estimation in Addis Ababa
by: Abebe, Yassin Tesfaw, et al.
Published: (2024)
by: Abebe, Yassin Tesfaw, et al.
Published: (2024)
Gaussian Process-driven Hidden Markov Models for Early Diagnosis of Infant Gait Anomalies
by: F., Luis Torres-Torres, et al.
Published: (2025)
by: F., Luis Torres-Torres, et al.
Published: (2025)
Prospective Prediction of Body Mass Index Trajectories using Multi-task Gaussian Processes
by: Leroy, Arthur, et al.
Published: (2024)
by: Leroy, Arthur, et al.
Published: (2024)
Accurate Assessment via Process Data
by: Zhang, Susu, et al.
Published: (2021)
by: Zhang, Susu, et al.
Published: (2021)
Markov Processes for Enhanced Deepfake Generation and Detection
by: Kouritzin, Michael A., et al.
Published: (2024)
by: Kouritzin, Michael A., et al.
Published: (2024)
Robust Inferential Methodology for Multidimensional Diffusion Processes
by: Barick, Sourojyoti
Published: (2026)
by: Barick, Sourojyoti
Published: (2026)
Heterogeneous Clinical Trial Outcomes via Multi-Output Gaussian Processes
by: Thomas, Owen, et al.
Published: (2024)
by: Thomas, Owen, et al.
Published: (2024)
Graph Data Modeling: Molecules, Proteins, & Chemical Processes
by: Barraza-Chavez, José Manuel, et al.
Published: (2025)
by: Barraza-Chavez, José Manuel, et al.
Published: (2025)
An Adaptive Learning Approach to Multivariate Time Forecasting in Industrial Processes
by: Miguelez, Fernando, et al.
Published: (2024)
by: Miguelez, Fernando, et al.
Published: (2024)
Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows
by: Li, Xuechun, et al.
Published: (2025)
by: Li, Xuechun, et al.
Published: (2025)
Similar Items
-
A Scalable Gaussian Process Approach to Shear Mapping with MuyGPs
by: Sallaberry, Gregory, et al.
Published: (2024) -
Stellar Blend Image Classification Using Computationally Efficient Gaussian Processes
by: Eleh, Chinedu, et al.
Published: (2024) -
A Robust Approach to Gaussian Processes Implementation
by: Mukangango, Juliette, et al.
Published: (2024) -
Robust Wrapped Gaussian Process Inference for Noisy Angular Data
by: Cooper, Andrew, et al.
Published: (2025) -
Well-posedness of Keller-Segel systems on compact metric graphs
by: Shemtaga, Hewan, et al.
Published: (2024)