Cover Image

Evaluation of Stress Detection as Time Series Events -- A Novel Window-Based F1-Metric

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Skat-Rørdam, Harald Vilhelm, Das, Sneha, Rasmussen, Kathrine Sofie, Lønfeldt, Nicole Nadine, Clemmensen, Line
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EmoTale: An Enacted Speech-emotion Dataset in Danish
by: Hjuler, Maja J., et al.
Published: (2025)

Modelling Emotions is an Elusive Pursuit in Affective Computing
by: Larsen, Anders Rolighed, et al.
Published: (2026)

The Cost-Benefit of Interdisciplinarity in AI for Mental Health
by: Drakos, Katerina, et al.
Published: (2025)

Nonparametric Survival Estimation with Contaminated and Adjudicated Events
by: Bladt, Martin, et al.
Published: (2025)

Intra-Fairness Dynamics: The Bias Spillover Effect in Targeted LLM Alignment
by: Paraschou, Eva, et al.
Published: (2026)

Sliding-Window Signatures for Time Series: Application to Electricity Demand Forecasting
by: Drobac, Nina, et al.
Published: (2025)

Time-dependent Predictive Accuracy Metrics in the Context of Interval Censoring and Competing Risks
by: Yang, Zhenwei, et al.
Published: (2025)

Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift
by: Hjuler, Maja J., et al.
Published: (2025)

Beyond Word Error Rate: Auditing the Diversity Tax in Speech Recognition through Dataset Cartography
by: Cheng, Ting-Hui, et al.
Published: (2026)

Hybrid Smoothing for Anomaly Detection in Time Series
by: Hofkes, Matthew, et al.
Published: (2024)

Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Series
by: Jiang, Hanyang, et al.
Published: (2026)

Sequential Change-point Detection for Binomial Time Series
by: Liu, Yajun, et al.
Published: (2024)

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
by: Chen, Guodong, et al.
Published: (2020)

Detection of a Sparse Change in High-Dimensional Time Series
by: Huang, Jingyan
Published: (2025)

A Novel Multiscale Framework for Testing Independence: Efficient Detection of Explicit or Implicit Functional Relationships
by: P, Seetharaman, et al.
Published: (2024)

Change-Point Detection for Object-valued Time Series
by: Zhang, Yi, et al.
Published: (2026)

Biomarker-Guided Adaptive Enrichment Design with Threshold Detection for Clinical Trials with Time-to-Event Outcome
by: Hua, Kaiyuan, et al.
Published: (2024)

Detecting Cointegrating Relations in Non-stationary Matrix-Valued Time Series
by: Hecq, Alain, et al.
Published: (2024)

A Novel Exact Inference Approach for Log-Logistic Reliability Functions with Applications to Time-to-Event Data
by: Liu, Bowen, et al.
Published: (2026)

Stationarity of Manifold Time Series
by: Zhu, Junhao, et al.
Published: (2024)

Prediction Intervals for Interim Events in Randomized Clinical Trials with Time-to-Event Endpoints
by: Ratti, Edoardo, et al.
Published: (2026)

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series
by: Boggia, Laura, et al.
Published: (2025)

Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)

Detecting Structural Shifts and Estimating Change-Points in Interval-Based Time Series
by: Sun, Li-Hsien, et al.
Published: (2024)

Nonparametric Sequential Change-point Detection on High Order Compositional Time Series Models with Exogenous Variables
by: Liu, Yajun, et al.
Published: (2025)

Conditional Cauchy-Schwarz Divergence for Time Series Analysis: Kernelized Estimation and Applications in Clustering and Fraud Detection
by: Wang, Jiayi
Published: (2026)

It's About Time: What A/B Test Metrics Estimate
by: Ankargren, Sebastian, et al.
Published: (2024)

Time Series Forecasting with Many Predictors
by: Huang, Shuo-Chieh, et al.
Published: (2024)

Network Estimation for Stationary Time Series
by: Shelley, Madeline A., et al.
Published: (2025)

Penalized Subgrouping of Heterogeneous Time Series
by: Crawford, Christopher M., et al.
Published: (2024)

A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time-to-Event Outcomes Using Average Hazard with Survival Weight
by: Qian, Zihan, et al.
Published: (2024)

Sequential Change-point Detection for Compositional Time Series with Exogenous Variables
by: Liu, Yajun, et al.
Published: (2024)

Automatic Change-Point Detection in Time Series via Deep Learning
by: Li, Jie, et al.
Published: (2022)

Conformal Anomaly Detection for Functional Data with Elastic Distance Metrics
by: Adams, Jason, et al.
Published: (2025)

Wavelet Based Time Series Models with Time-Varying Thresholds
by: Davis, Rhea, et al.
Published: (2026)

Bayesian Semiparametric Joint Modeling of Gap-Time Distribution for Multitype Recurrent Events and a Terminal Event
by: Acharjee, Mithun Kumar, et al.
Published: (2025)

Cheap Subsampling bootstrap confidence intervals for fast and robust inference
by: Ohlendorff, Johan Sebastian, et al.
Published: (2025)

An Autoregressive Model for Time Series of Random Objects
by: Bulté, Matthieu, et al.
Published: (2024)

Private Federated Learning for High-dimensional Time Series
by: Chen, Kejun, et al.
Published: (2026)

Mean Independent Component Analysis for Multivariate Time Series
by: Lee, Chung Eun, et al.
Published: (2025)