Results 41 to 50 of about 4,692,865 (188)

Empirical copula-based data augmentation for mixed-type datasets: a robust approach for synthetic data generation [PDF]

PeerJ Computer Science
Data augmentation is a critical technique for enhancing model performance in scenarios with limited, sparse, or imbalanced datasets. While existing methods often focus on homogeneous data types (e.g., continuous-only or categorical-only), real-world ...
Mohsen Ben Hassine, Lamine Mili
doaj   +2 more sources

Clinical and Genotype Characteristics and Symptom Migration in Patients With Mixed Phenotype Transthyretin Amyloidosis from the Transthyretin Amyloidosis Outcomes Survey

Cardiology and Therapy, 2023
Introduction Transthyretin amyloidosis (ATTR amyloidosis) is primarily associated with a cardiac or neurologic phenotype, but a mixed phenotype is increasingly described.
Juan González-Moreno, Angela Dispenzieri, Martha Grogan, Teresa Coelho, Ivailo Tournev, Márcia Waddington-Cruz, Jonas Wixner, Igor Diemberger, Pablo Garcia-Pavia, Doug Chapman, Pritam Gupta, Oliver Glass, Leslie Amass, the THAOS investigators   +13 more
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Toxoplasma gondii Type I, predominant genotype isolated from sheep in South of Iran [PDF]

Veterinary World, 2017
Aim: This study was performed to determine the genetic diversity of Toxoplasma gondii in sheep using nested-polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) in Southern Iran.
Belal Armand, Kavous Solhjoo, Manoochehr Shabani Kordshooli, Mohammad Hasan Davami, Morteza Pourahmad, Vahideh Orfaee   +5 more
doaj   +1 more source

Subsampling and Aggregation: A Solution to the Scalability Problem in Distance-Based Prediction for Mixed-Type Data

Mathematics, 2021
The distance-based linear model (DB-LM) extends the classical linear regression to the framework of mixed-type predictors or when the only available information is a distance matrix between regressors (as it sometimes happens with big data).
Amparo Baíllo, Aurea Grané
doaj   +1 more source

Clusterwise multivariate regression of mixed-type panel data

Statistics and Computing, 2022
Abstract Multivariate panel data of mixed type are routinely collected in many different areas of application, often jointly with additional covariates which complicate the statistical analysis. Moreover, it is often of interest to identify unknown groups of units in a study population using such data structure, i.e., to perform clustering.
Vavra, Jan, Komárek, Arnošt, Grün, Bettina, Malsiner-Walli, Gertraud   +3 more
openaire   +3 more sources

A comparison of four methods for the analysis of N-of-1 trials. [PDF]

PLoS ONE, 2014
OBJECTIVE: To provide a practical guidance for the analysis of N-of-1 trials by comparing four commonly used models. METHODS: The four models, paired t-test, mixed effects model of difference, mixed effects model and meta-analysis of summary data were ...
Xinlin Chen, Pingyan Chen
doaj   +1 more source

Mixed-Delay-Dependent Augmented Functional for Synchronization of Uncertain Neutral-Type Neural Networks with Sampled-Data Control

Mathematics, 2023
In this paper, the synchronization problem of uncertain neutral-type neural networks (NTNNs) with sampled-data control is investigated. First, a mixed-delay-dependent augmented Lyapunov–Krasovskii functional (LKF) is proposed, which not only considers ...
Shuoting Wang, Kaibo Shi
doaj   +1 more source

Determining the Distinguishing Features of Different Eating Action Types in Germany Using a Mixed-Method Approach

Frontiers in Nutrition, 2021
Food-related behavior is a very complex topic, as it affects the most diverse areas of life. Accordingly, wide varieties of disciplines have already dealt with the topic to understand it better.
Lyn Lampmann, Agnes Emberger-Klein, Klaus Menrad   +2 more
doaj   +1 more source

GeV Analysis of Mixed Morphology Supernova Remnants Interacting with Molecular Clouds [PDF]

, 2012
The first remnants detected by the Fermi Gamma-ray Space Telescope were of the type of mixed-morphology supernova remnants interacting with molecular clouds.
Ercan, E. Nihal, Ergin, Tülün
core   +2 more sources

Adaptive Sparse Clustering of Mixed Data Using Azzalini-Encoded Ordinal Variables

Axioms
In this paper, we propose a novel sparse clustering method designed for high-dimensional mixed-type data, integrating Azzalini’s score-based encoding for ordinal variables. Our approach aims to retain the inherent nature of each variable type—continuous,
Ismail Arjdal, Mohamed Alahiane, Echarif Elharfaoui, Mustapha Rachdi   +3 more
doaj   +1 more source