Walking fingerprinting
Fuente:
arXiv
Saved in:
| Main Authors: | Koffman, Lily, Crainiceanu, Ciprian, Leroux, Andrew |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Walking Fingerprinting Using Wrist Accelerometry During Activities of Daily Living in NHANES
by: Koffman, Lily, et al.
Published: (2025)
by: Koffman, Lily, et al.
Published: (2025)
Comparing Step Counting Algorithms for High-Resolution Wrist Accelerometry Data in NHANES 2011-2014
by: Koffman, Lily, et al.
Published: (2024)
by: Koffman, Lily, et al.
Published: (2024)
Function on Scalar Regression with Complex Survey Designs
by: Koffman, Lily, et al.
Published: (2025)
by: Koffman, Lily, et al.
Published: (2025)
Generalized Multilevel Functional Principal Component Analysis with Application to NHANES Active Inactive Patterns
by: Zhou, Xinkai, et al.
Published: (2023)
by: Zhou, Xinkai, et al.
Published: (2023)
Sensitivity analysis for matching on high-dimensional predictors: A case study of racial disparity in US mortality
by: Hernandez, Marina, et al.
Published: (2024)
by: Hernandez, Marina, et al.
Published: (2024)
Multilevel functional distributional models with application to continuous glucose monitoring in diabetes clinical trials
by: Matabuena, Marcos, et al.
Published: (2024)
by: Matabuena, Marcos, et al.
Published: (2024)
Inference for the Extended Functional Cox Model: A UK Biobank Case Study
by: Cui, Erjia, et al.
Published: (2025)
by: Cui, Erjia, et al.
Published: (2025)
Prediction Inference Using Generalized Functional Mixed Effects Models
by: Zhou, Xinkai, et al.
Published: (2025)
by: Zhou, Xinkai, et al.
Published: (2025)
Functional Moments Regression
by: Li, Mingyuan, et al.
Published: (2026)
by: Li, Mingyuan, et al.
Published: (2026)
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)
More Options for Prelabor Rupture of Membranes, A Bayesian Analysis
by: Klein, Ashley, et al.
Published: (2024)
by: Klein, Ashley, et al.
Published: (2024)
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
by: Liang, Biyonka, et al.
Published: (2024)
by: Liang, Biyonka, et al.
Published: (2024)
Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning
by: Sun, Haixiang, et al.
Published: (2026)
by: Sun, Haixiang, et al.
Published: (2026)
Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks
by: He, Wan, et al.
Published: (2025)
by: He, Wan, et al.
Published: (2025)
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement
by: McJames, Nathan, et al.
Published: (2024)
by: McJames, Nathan, et al.
Published: (2024)
Machine Learning-based Layer-wise Detection of Overheating Anomaly in LPBF using Photodiode Data
by: Hasan, Nazmul, et al.
Published: (2024)
by: Hasan, Nazmul, et al.
Published: (2024)
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
by: Cordero-Encinar, Paula, et al.
Published: (2024)
by: Cordero-Encinar, Paula, et al.
Published: (2024)
Meta-models for transfer learning in source localisation
by: Bull, Lawrence A., et al.
Published: (2023)
by: Bull, Lawrence A., et al.
Published: (2023)
Efficient Causal Structure Learning via Modular Subgraph Integration
by: Sun, Haixiang, et al.
Published: (2026)
by: Sun, Haixiang, et al.
Published: (2026)
Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge
by: Bull, Lawrence A., et al.
Published: (2024)
by: Bull, Lawrence A., et al.
Published: (2024)
Multi-View Symbolic Regression
by: Russeil, Etienne, et al.
Published: (2024)
by: Russeil, Etienne, et al.
Published: (2024)
Dynamic Prediction of High-density Generalized Functional Data with Fast Generalized Functional Principal Component Analysis
by: Jin, Ying, et al.
Published: (2024)
by: Jin, Ying, et al.
Published: (2024)
Comparing estimators of discriminative performance of time-to-event models
by: Jin, Ying, et al.
Published: (2024)
by: Jin, Ying, et al.
Published: (2024)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)
by: Goh, Yong Chen, et al.
Published: (2024)
Self-Regulating Random Walks for Resilient Decentralized Learning on Graphs
by: Egger, Maximilian, et al.
Published: (2024)
by: Egger, Maximilian, et al.
Published: (2024)
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values
by: Caruso, Camillo Maria, et al.
Published: (2023)
by: Caruso, Camillo Maria, et al.
Published: (2023)
Ellipsoid fitting with the Cayley transform
by: Melikechi, Omar, et al.
Published: (2023)
by: Melikechi, Omar, et al.
Published: (2023)
Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering
by: Valleggi, Lorenzo, et al.
Published: (2023)
by: Valleggi, Lorenzo, et al.
Published: (2023)
Variable Selection for Kernel Two-Sample Tests
by: Wang, Jie, et al.
Published: (2023)
by: Wang, Jie, et al.
Published: (2023)
Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas
by: Ma, Peifeng, et al.
Published: (2023)
by: Ma, Peifeng, et al.
Published: (2023)
Deep Huber quantile regression networks
by: Tyralis, Hristos, et al.
Published: (2023)
by: Tyralis, Hristos, et al.
Published: (2023)
Utilizing Model Residuals to Identify Rental Properties of Interest: The Price Anomaly Score (PAS) and Its Application to Real-time Data in Manhattan
by: Sultan, Youssef, et al.
Published: (2023)
by: Sultan, Youssef, et al.
Published: (2023)
Statistical post-processing of visibility ensemble forecasts
by: Baran, Sándor, et al.
Published: (2023)
by: Baran, Sándor, et al.
Published: (2023)
Deep graphical regression for jointly moderate and extreme Australian wildfires
by: Cisneros, Daniela, et al.
Published: (2023)
by: Cisneros, Daniela, et al.
Published: (2023)
Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data
by: Aghdam, Rosa, et al.
Published: (2023)
by: Aghdam, Rosa, et al.
Published: (2023)
Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes
by: Wu, Fan, et al.
Published: (2023)
by: Wu, Fan, et al.
Published: (2023)
SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning
by: Naser, M. Z., et al.
Published: (2023)
by: Naser, M. Z., et al.
Published: (2023)
Dyadic Reinforcement Learning
by: Li, Shuangning, et al.
Published: (2023)
by: Li, Shuangning, et al.
Published: (2023)
Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data
by: Spicker, Dylan, et al.
Published: (2023)
by: Spicker, Dylan, et al.
Published: (2023)
TimeGPT-1
by: Garza, Azul, et al.
Published: (2023)
by: Garza, Azul, et al.
Published: (2023)
Similar Items
-
Walking Fingerprinting Using Wrist Accelerometry During Activities of Daily Living in NHANES
by: Koffman, Lily, et al.
Published: (2025) -
Comparing Step Counting Algorithms for High-Resolution Wrist Accelerometry Data in NHANES 2011-2014
by: Koffman, Lily, et al.
Published: (2024) -
Function on Scalar Regression with Complex Survey Designs
by: Koffman, Lily, et al.
Published: (2025) -
Generalized Multilevel Functional Principal Component Analysis with Application to NHANES Active Inactive Patterns
by: Zhou, Xinkai, et al.
Published: (2023) -
Sensitivity analysis for matching on high-dimensional predictors: A case study of racial disparity in US mortality
by: Hernandez, Marina, et al.
Published: (2024)