Search
Search Results
-
Unlocking Online Insights: LSTM Exploration and Transfer Learning Prospects
Machine learning algorithms can improve the time series data analysis as compared to the traditional methods such as moving averages or...
-
A spatio-temporal model for binary data and its application in analyzing the direction of COVID-19 spread
It is often of primary interest to analyze and forecast the levels of a continuous phenomenon as a categorical variable. In this paper, we propose a...
-
Antiplatelet therapy to prevent ischemic events in giant cell arteritis: protocol for a systematic review and meta-analysis
BackgroundGiant cell arteritis (GCA) is the most common systemic vasculitis in adults. Presenting features include new-onset headaches,...
-
Automation of systematic reviews of biomedical literature: a sco** review of studies indexed in PubMed
BackgroundThe demand for high-quality systematic literature reviews (SRs) for evidence-based medical decision-making is growing. SRs are costly and...
-
Drinkers Voice Recognition Intelligent System: An Ensemble Stacking Machine Learning Approach
Alcohol's dehydrating effects can cause vocal cords to dry out, potentially causing temporary voice changes and increasing the risk of vocal strain...
-
Ensemble Machine Learning and Predicted Properties Promote Antimicrobial Peptide Identification
AbstractThe emergence of antibiotic-resistant microbes raises a pressing demand for novel alternative treatments. One promising alternative is the...
-
Strong convergence of a nonparametric relative error regression estimator under missing data with functional predictors
In this paper, we develop a nonparametric estimator of the regression function for a functional explanatory variable and a scalar response variable...
-
Business-Cycle Analysis and Zero-Crossings of Time Series: A Generalized Forecast Approach
We propose an extension of classic time series approaches to business-cycle measurement called Simple Sign Accuracy (SSA), which addresses...
-
Functional Principal Component Analysis for Multiple Variables on Different Riemannian Manifolds
Functional principal component analysis (FPCA) is a very important dimension reduction tool for functional data analysis. The conventional FPCA...
-
A Comparison of Estimation Methods for Shared Gamma Frailty Models
This paper compares six different estimation methods for shared frailty models via a series of simulation studies. A shared frailty model is a...
-
Classifier-dependent feature selection via greedy methods
The purpose of this study is to introduce a new approach to feature ranking for classification tasks, called in what follows greedy feature...
-
Functional Causal Inference with Time-to-Event Data
Functional data analysis has proven to be a powerful tool for capturing and analyzing complex patterns and relationships in a variety of fields,...
-
Effect of in-line filtration in newborns: study protocol of the Intravenous Neonatal Central Access Safety (INCAS) randomized controlled trial
BackgroundParticulate contamination due to infusion therapy (administration of parenteral nutrition and medications) carries a potential health risk...
-
The effectiveness and safety of acupoint herbal patching for allergic rhinitis: protocol for a systematic review and meta-analysis
BackgroundAllergic rhinitis (AR) is a common inflammatory disease of the nasal mucosa that is characterized by symptoms such as sneezing, nasal...
-
From past to present: ancestry and student achievement in Brazil
This paper estimates the impact of family ancestry on the educational outcomes of a cohort of Brazilian students. Based on longitudinal data with...
-
A New Kernel Density Estimation-Based Entropic Isometric Feature Map** for Unsupervised Metric Learning
Metric learning consists of designing adaptive distance functions that are well-suited to a specific dataset. Such tailored distance functions aim to...
-
Study protocol for an adaptive, multi-arm, multi-stage (MAMS) randomised controlled trial of brief remotely delivered psychosocial interventions for people with serious mental health problems who have experienced a recent suicidal crisis: Remote Approaches to Psychosocial Intervention Delivery (RAPID)
BackgroundPeople with serious mental health problems (SMHP) are more likely to be admitted to psychiatric hospital following contact with crisis...
-
Locally sparse and robust partial least squares in scalar-on-function regression
We present a novel approach for estimating a scalar-on-function regression model, leveraging a functional partial least squares methodology. Our...
-
University expansion and female adolescents’ educational attainment in Ethiopia
Although it is widely recognized that accounting for spillovers from higher education institutions is essential when formulating educational policy,...
