Image de couverture de livre

Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Quintero-Rincón, Antonio, Prendes, Jorge, Muro, Valeria, D'Giano, Carlos
Format:	Preprint
Publié:	2024
Sujets:	Applications Machine Learning Computation Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Quantifying uncertainty in spikes estimated from calcium imaging data
par: Chen, Yiqun T., et autres
Publié: (2021)

Large-scale metric objects filtering for binary classification with application to abnormal brain connectivity detection
par: He, Shuaida, et autres
Publié: (2024)

Zero-Inflated Bayesian Multi-Study Infinite Non-Negative Matrix Factorization
par: Hansen, Blake, et autres
Publié: (2025)

Adjusting for indirectly measured confounding using large-scale propensity scores
par: Zhang, Linying, et autres
Publié: (2021)

How can methods for classifying and clustering trajectories be used for prevention trials? An example in Alzheimer's disease area
par: Bougel, Céline, et autres
Publié: (2025)

Tracing the impacts of Mount Pinatubo eruption on regional climate using spatially-varying changepoint detection
par: Shi-Jun, Samantha, et autres
Publié: (2024)

Anomaly detection using surprisals
par: Hyndman, Rob J, et autres
Publié: (2026)

Modeling climate extremes using the four-parameter kappa distribution for $r$-largest order statistics
par: Shin, Yire, et autres
Publié: (2020)

Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
par: Wang, Ziyou, et autres
Publié: (2026)

Functional structural equation modeling with latent variables
par: Asgari, Fatemeh, et autres
Publié: (2024)

How do the professional players select their shot locations? An analysis of Field Goal Attempts via Bayesian Additive Regression Trees
par: Cao, Jiahao, et autres
Publié: (2025)

Multi-scale wavelet coherence
par: Wu, Haibo, et autres
Publié: (2023)

Which depth to use to construct functional boxplots?
par: Nagy, Stanislav, et autres
Publié: (2024)

HDNRA: An R package for HDLSS location testing with normal-reference approaches
par: Wang, Pengfei, et autres
Publié: (2024)

Adaptive radar detection of subspace-based distributed target in power heterogeneous clutter
par: Xiao, Daipeng, et autres
Publié: (2024)

Learning associations of COVID-19 hospitalizations with wastewater viral signals by Markov modulated models
par: Peng, K. Ken, et autres
Publié: (2024)

Enhancing parameter estimation in finite mixture of generalized normal distributions
par: Duttilo, Pierdomenico, et autres
Publié: (2024)

Mapping poverty at multiple geographical scales
par: De Nicolò, Silvia, et autres
Publié: (2023)

Smooth hazards with multiple time scales
par: Carollo, Angela, et autres
Publié: (2023)

Power new generalized class of Kavya-Manoharan distributions with an application to exponential distribution
par: Benkhelifa, Lazhar
Publié: (2025)

Differential item functioning via robust scaling
par: Halpin, Peter F.
Publié: (2022)

A geometric approach in non-parametric Changepoint detection in circular data
par: Biswas, Surojit, et autres
Publié: (2024)

Tensor time series change-point detection in cryptocurrency network data
par: Anastasiou, Andreas, et autres
Publié: (2025)

Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot
par: Liao, Lauren D., et autres
Publié: (2023)

Analysis of spatially clustered survival data with unobserved covariates using SBART
par: Ghosh, Durbadal, et autres
Publié: (2024)

When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
par: Lin, Hongmei, et autres
Publié: (2025)

Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection
par: Ameis, Lucia, et autres
Publié: (2026)

Accounting for variable detection functions in temporal abundance modeling via transfer learning
par: Collins, Kevin M., et autres
Publié: (2026)

Sequential Kalman filter for fast online changepoint detection in longitudinal health records
par: Li, Hanmo, et autres
Publié: (2023)

Robust distribution-free tests for the linear model
par: Hilbert, Torey, et autres
Publié: (2024)

The conditional saddlepoint approximation for fast and accurate large-scale hypothesis testing
par: Niu, Ziang, et autres
Publié: (2024)

Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National Covid Collaborative Cohort data
par: Wang, Runqiu, et autres
Publié: (2023)

Questioning Normality: A study of wavelet leaders distribution
par: Nasr, Wejdene Ben, et autres
Publié: (2025)

Type I multivariate Pólya-Aeppli distributions with applications
par: Geldenhuys, Claire, et autres
Publié: (2024)

Smooth and shape-constrained quantile distributed lag models
par: Jin, Yisen, et autres
Publié: (2024)

Generalized Heterogeneous Functional Model with Applications to Large-scale Mobile Health Data
par: Sun, Xiaojing, et autres
Publié: (2025)

Modelling multi-scale state-switching functional data with hidden Markov models
par: Sidrow, Evan, et autres
Publié: (2021)

Prior distributions for Gaussian processes in computer model emulation and calibration
par: Gu, Mengyang, et autres
Publié: (2025)

A unifying modelling approach for hierarchical distributed lag models
par: Economou, Theo, et autres
Publié: (2024)

Estimating the distribution of marks of a homogeneous marked Poisson process
par: Anevski, Dragi, et autres
Publié: (2018)