Topological descriptors of foot clearance gait dynamics improve differential diagnosis of Parkinsonism
Fuente:
arXiv
Saved in:
| Main Authors: | Barrios, Jhonathan, Erlhagen, Wolfram, Gago, Miguel F., Bicho, Estela, Ferreira, Flora |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A statistical approach to latent dynamic modeling with differential equations
by: Hackenberg, Maren, et al.
Published: (2023)
by: Hackenberg, Maren, et al.
Published: (2023)
Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models
by: Tong, Ran, et al.
Published: (2025)
by: Tong, Ran, et al.
Published: (2025)
Classification of Epileptic iEEG using Topological Machine Learning
by: Tanweer, Sunia, et al.
Published: (2026)
by: Tanweer, Sunia, et al.
Published: (2026)
Shared Keyboard: An improved Bayesian design for phase I clinical trials via Beta kernel process
by: Zhao, Jiangyan, et al.
Published: (2026)
by: Zhao, Jiangyan, et al.
Published: (2026)
nabqr: Python package for improving probabilistic forecasts
by: Jørgensena, Bastian Schmidt, et al.
Published: (2025)
by: Jørgensena, Bastian Schmidt, et al.
Published: (2025)
Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it?
by: Lefort, Tanguy, et al.
Published: (2024)
by: Lefort, Tanguy, et al.
Published: (2024)
Digital Twin for Grey Box modeling of Multistory residential building thermal dynamics
by: Morkunaite, Lina, et al.
Published: (2024)
by: Morkunaite, Lina, et al.
Published: (2024)
Automobile demand forecasting: Spatiotemporal and hierarchical modeling, life cycle dynamics, and user-generated online information
by: Nahrendorf, Tom, et al.
Published: (2025)
by: Nahrendorf, Tom, et al.
Published: (2025)
Selecting Critical Scenarios of DER Adoption in Distribution Grids Using Bayesian Optimization
by: Mulkin, Olivier, et al.
Published: (2025)
by: Mulkin, Olivier, et al.
Published: (2025)
Surrogate modeling for uncertainty quantification in nonlinear dynamics
by: Marelli, S., et al.
Published: (2025)
by: Marelli, S., et al.
Published: (2025)
An unsupervised decision-support framework for multivariate biomarker analysis in athlete monitoring
by: Rosito, Fernando Barcelos, et al.
Published: (2026)
by: Rosito, Fernando Barcelos, et al.
Published: (2026)
Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes
by: Chatton, Arthur, et al.
Published: (2023)
by: Chatton, Arthur, et al.
Published: (2023)
Topological Data Analysis in smart manufacturing: State of the art and futuredirections
by: Uray, Martin, et al.
Published: (2023)
by: Uray, Martin, et al.
Published: (2023)
Topological Feature Search Method for Multichannel EEG: Application in ADHD classification
by: Cai, Tianming, et al.
Published: (2024)
by: Cai, Tianming, et al.
Published: (2024)
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)
Physics-constrained robust learning of open-form partial differential equations from limited and noisy data
by: Du, Mengge, et al.
Published: (2023)
by: Du, Mengge, et al.
Published: (2023)
Parkinson gait modelling from an anomaly deep representation
by: Rangel, Edgar, et al.
Published: (2023)
by: Rangel, Edgar, et al.
Published: (2023)
mNARX+: A surrogate model for complex dynamical systems using manifold-NARX and automatic feature selection
by: Schär, S., et al.
Published: (2025)
by: Schär, S., et al.
Published: (2025)
Fusing Climate Data Products using a Spatially Varying Autoencoder
by: Johnson, Jacob A., et al.
Published: (2024)
by: Johnson, Jacob A., et al.
Published: (2024)
Topological Detection of Hopf Bifurcations via Persistent Homology: A Functional Criterion from Time Series
by: Barrios, Jhonathan, et al.
Published: (2026)
by: Barrios, Jhonathan, et al.
Published: (2026)
Bayesian dynamic mode decomposition for real-time ship motion digital twinning
by: Palma, Giorgio, et al.
Published: (2024)
by: Palma, Giorgio, et al.
Published: (2024)
Performance of Cross-Validated Targeted Maximum Likelihood Estimation
by: Smith, Matthew J., et al.
Published: (2024)
by: Smith, Matthew J., et al.
Published: (2024)
Pruning neural network models for gene regulatory dynamics using data and domain knowledge
by: Hossain, Intekhab, et al.
Published: (2024)
by: Hossain, Intekhab, et al.
Published: (2024)
Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects
by: Villarraga, Daniel F., et al.
Published: (2025)
by: Villarraga, Daniel F., et al.
Published: (2025)
Bayesian Deep Learning for Discrete Choice
by: Villarraga, Daniel F., et al.
Published: (2025)
by: Villarraga, Daniel F., et al.
Published: (2025)
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning
by: Wang, Zhongzheng, et al.
Published: (2024)
by: Wang, Zhongzheng, et al.
Published: (2024)
CardioLab: Laboratory Values Estimation from Electrocardiogram Features - An Exploratory Study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior
by: Yezerets, Eva, et al.
Published: (2026)
by: Yezerets, Eva, et al.
Published: (2026)
A Data-driven Resilience Framework of Directionality Configuration based on Topological Credentials in Road Networks
by: Kays, H M Imran, et al.
Published: (2024)
by: Kays, H M Imran, et al.
Published: (2024)
Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approach
by: Pashmchi, Parastoo, et al.
Published: (2026)
by: Pashmchi, Parastoo, et al.
Published: (2026)
Longitudinal Risk Prediction in Mammography with Privileged History Distillation
by: Karimian, Banafsheh, et al.
Published: (2026)
by: Karimian, Banafsheh, et al.
Published: (2026)
Kernel-Based Learning of Chest X-ray Images for Predicting ICU Escalation among COVID-19 Patients
by: Shi, Qiyuan, et al.
Published: (2026)
by: Shi, Qiyuan, et al.
Published: (2026)
Local Intrinsic Dimensionality of Ground Motion Data for Early Detection of Complex Catastrophic Slope Failure
by: Liu, Yuansan, et al.
Published: (2026)
by: Liu, Yuansan, et al.
Published: (2026)
Nonlinear Dimensionality Reduction with Diffusion Maps in Practice
by: Beier, Sönke, et al.
Published: (2026)
by: Beier, Sönke, et al.
Published: (2026)
Analyzing the Temporal Factors for Anxiety and Depression Symptoms with the Rashomon Perspective
by: Cavus, Mustafa, et al.
Published: (2026)
by: Cavus, Mustafa, et al.
Published: (2026)
Optimizing the Landscape of LLM Embeddings with Dynamic Exploratory Graph Analysis for Generative Psychometrics: A Monte Carlo Study
by: Golino, Hudson
Published: (2026)
by: Golino, Hudson
Published: (2026)
Time-Series Anomaly Classification for Launch Vehicle Propulsion Systems: Fast Statistical Detectors Enhancing LSTM Accuracy and Data Quality
by: Engelstad, Sean P., et al.
Published: (2026)
by: Engelstad, Sean P., et al.
Published: (2026)
Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts
by: Liang, Luxu, et al.
Published: (2026)
by: Liang, Luxu, et al.
Published: (2026)
DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
by: Jiang, Manrui, et al.
Published: (2026)
by: Jiang, Manrui, et al.
Published: (2026)
Cost-sensitive retraining via posterior learning debt
by: Katz, Harrison
Published: (2026)
by: Katz, Harrison
Published: (2026)
Similar Items
-
A statistical approach to latent dynamic modeling with differential equations
by: Hackenberg, Maren, et al.
Published: (2023) -
Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models
by: Tong, Ran, et al.
Published: (2025) -
Classification of Epileptic iEEG using Topological Machine Learning
by: Tanweer, Sunia, et al.
Published: (2026) -
Shared Keyboard: An improved Bayesian design for phase I clinical trials via Beta kernel process
by: Zhao, Jiangyan, et al.
Published: (2026) -
nabqr: Python package for improving probabilistic forecasts
by: Jørgensena, Bastian Schmidt, et al.
Published: (2025)