Cover Image

Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghaderi, Hamid, Foreman, Brandon, Nayebi, Amin, Tipirneni, Sindhu, Reddy, Chandan K., Subbian, Vignesh
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering
by: Ghaderi, Hamid, et al.
Published: (2024)

Data Integration Using Multivariate Mode Decomposition for Physiological Sensing with Multiple Millimeter-Wave Radar Systems
by: Sumi, Kimitaka, et al.
Published: (2025)

Sequential Spectral Clustering of Data Sequences
by: Chandran, G Dhinesh, et al.
Published: (2025)

MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
by: Han, Wenyong, et al.
Published: (2024)

Consistent Signal Reconstruction from Streaming Multivariate Time Series
by: Ruiz-Moreno, Emilio, et al.
Published: (2023)

Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
by: Dissanayake, Oshana, et al.
Published: (2024)

Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals
by: Luo, Yunfei, et al.
Published: (2024)

StructCoder: Structure-Aware Transformer for Code Generation
by: Tipirneni, Sindhu, et al.
Published: (2022)

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series
by: Sadough, Amirhossein, et al.
Published: (2025)

Data Augmentation for Generating Synthetic Electrogastrogram Time Series
by: Miljković, Nadica, et al.
Published: (2023)

Multi-UAV Enabled Integrated Sensing and Wireless Powered Communication: A Robust Multi-Objective Approach
by: Rezaei, Omid, et al.
Published: (2023)

Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)

An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals
by: Chopannavaz, Mohammad Reza, et al.
Published: (2025)

Visually Evaluating Generative Adversarial Networks Using Itself under Multivariate Time Series
by: Pan, Qilong
Published: (2022)

Joint Spatial and Spectral Hybrid Precoding for Multi-User MIMO-OFDM Systems
by: Reyhanian, Navid, et al.
Published: (2025)

Precoding for Uplink RIS-Assisted Cell-Free MIMO-OFDM Systems with Hardware Impairments
by: Reyhanian, Navid, et al.
Published: (2025)

Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals
by: Askari, Sahar, et al.
Published: (2026)

Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
by: Afzali, Amirabbas, et al.
Published: (2024)

Deep-seeded Clustering for Emotion Recognition from Wearable Physiological Sensors
by: Conceição, Marta A., et al.
Published: (2023)

Maximizing Spectrum Efficiency of Data-Carrying Reference Signals via Bayesian Optimization
by: Kato, Taiki, et al.
Published: (2025)

Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
by: Gkillas, Alexandros, et al.
Published: (2024)

Deep-Learning-based Frequency-Domain Watermarking for Energy System Time Series Data Asset Protection
by: Zhou, Zhenghao, et al.
Published: (2025)

Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study
by: Liu, Mengxi, et al.
Published: (2025)

Optimal Routing and Link Configuration for Covert Heterogeneous Wireless Networks in the Presence of a Friendly Jammer
by: Gillani, Amna, et al.
Published: (2026)

A Causal-Guided Multimodal Large Language Model for Generalized Power System Time-Series Data Analytics
by: Zhou, Zhenghao, et al.
Published: (2025)

Cramer-Rao Bounds for Target Parameter Estimation in a Bi-Static IRS-Assisted Radar Configuration
by: S, Sanjeeva Reddy, et al.
Published: (2026)

EmotionCaps: Enhancing Audio Captioning Through Emotion-Augmented Data Generation
by: Manivannan, Mithun, et al.
Published: (2024)

Non-negative DAG Learning from Time-Series Data
by: Rey, Samuel, et al.
Published: (2025)

Massive MIMO with 1-Bit DACs: Data Detection for Quantized Linear Precoding with Dithering
by: Radbord, Amin, et al.
Published: (2025)

ESN-DAGMM: A Lightweight Framework for Unsupervised Time-Series Data Monitoring in 5G O-RAN Networks
by: Chen, Andrew J, et al.
Published: (2026)

Data-Efficient Motor Condition Monitoring with Time Series Foundation Models
by: Li, Deyu, et al.
Published: (2025)

RIS-based Physical Layer Security for Integrated Sensing and Communication: A Comprehensive Survey
by: Li, Yongxiao, et al.
Published: (2025)

NanoHydra: Energy-Efficient Time-Series Classification at the Edge
by: Cioflan, Cristian, et al.
Published: (2025)

Time-Series Analysis on Edge-AI Hardware for Healthcare Monitoring
by: Hu, Jinhai
Published: (2025)

On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
by: Tugnait, Jitendra K.
Published: (2021)

Music Therapy based Stress Prediction using Homological Feature Analysis on EEG Signals
by: Reddy, Srikireddy Dhanunjay, et al.
Published: (2025)

Site-Specific Outdoor Propagation Assessment and Ray-Tracing Analysis for Wireless Digital Twins
by: Aram, Morteza Ghaderi, et al.
Published: (2024)

Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression
by: Sun, Guoyou, et al.
Published: (2025)

Towards Accurate Ego-lane Identification with Early Time Series Classification
by: Jin, Yuchuan, et al.
Published: (2024)

Beyond Speech and More: Investigating the Emergent Ability of Speech Foundation Models for Classifying Physiological Time-Series Signals
by: Phukan, Orchid Chetia, et al.
Published: (2024)