Prediction of potential seismic damage using classification and regression trees: a case study on earthquake damage databases from Turkey
Sign Up to like & getrecommendations! Published in 2020 at "Natural Hazards"
DOI: 10.1007/s11069-020-04125-2
Abstract: Seismic damage estimation is an important key ingredient of seismic loss modeling, risk mitigation and disaster management. It is a problem involving inherent uncertainties and complexities. Thus, it is important to employ robust approaches which… read more here.
Keywords: classification; seismic damage; classification regression; prediction potential ... See more keywords
The Devil is in the Decoder: Classification, Regression and GANs
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-019-01170-8
Abstract: Many machine vision applications, such as semantic segmentation and depth prediction, require predictions for every pixel of the input image. Models for such problems usually consist of encoders which decrease spatial resolution while learning a… read more here.
Keywords: devil decoder; decoder classification; classification; classification regression ... See more keywords
Serum Biomarkers and Classification and Regression Trees Can Discriminate Symptomatic from Asymptomatic Carotid Artery Disease Patients
Sign Up to like & getrecommendations! Published in 2021 at "Artery Research"
DOI: 10.1007/s44200-021-00004-8
Abstract: To assess biomarkers between symptomatic and asymptomatic patients, and to construct a classification and regression tree (CART) algorithm for their discrimination. 136 patients were enrolled. They were symptomatic (high risk) (N = 82, stenosis degree ≥ 50%, proven to… read more here.
Keywords: artery; risk; symptomatic asymptomatic; disease ... See more keywords
Learning longitudinal classification-regression model for infant hippocampus segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.01.108
Abstract: Abstract Hippocampus plays an important role in the memory and spatial navigation function of human brain. Study on its growth and change during first year of life would assist the investigation of early brain development… read more here.
Keywords: hippocampus; segmentation; classification regression; brain ... See more keywords
Prognostic factors differ according to KRAS mutational status: A classification and regression tree model to define prognostic groups after hepatectomy for colorectal liver metastasis.
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DOI: 10.1016/j.surg.2020.05.019
Abstract: BACKGROUND Although KRAS mutation status is known to affect the prognosis of patients with colorectal liver metastasis, the hierarchical association between other prognostic factors and KRAS status is not fully understood. METHODS Patients who underwent… read more here.
Keywords: tree model; regression tree; classification regression;
An Empirical Study on Predicting Blood Pressure Using Classification and Regression Trees
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DOI: 10.1109/access.2017.2787980
Abstract: Blood pressure (BP) diseases have become one of the major threats to human health. Continuous measurement of BP has proven to be a prerequisite for effective incident prevention. In contrast with the traditional prediction models… read more here.
Keywords: blood pressure; regression trees; classification regression; regression ... See more keywords
Versatile Auxiliary Classification and Regression With Generative Adversarial Networks
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DOI: 10.1109/access.2021.3063793
Abstract: One of the most interesting challenges in Artificial Intelligence is to train conditional generators which are able to provide labeled adversarial samples drawn from a specific distribution. For a successful implementation of conditional generators, the… read more here.
Keywords: regression; versatile auxiliary; auxiliary classification; generative adversarial ... See more keywords
C‐reactive protein to albumin ratio is a key indicator in a predictive model for anastomosis leakage after esophagectomy: Application of classification and regression tree analysis
Sign Up to like & getrecommendations! Published in 2019 at "Thoracic Cancer"
DOI: 10.1111/1759-7714.12990
Abstract: Anastomotic leakage (AL), a serious complication after esophagectomy, might impair patient quality of life, prolong hospital stay, and even lead to surgery‐related death. The aim of this study was to show a novel decision model… read more here.
Keywords: leakage; model; regression tree; classification regression ... See more keywords
Dependence of Body Mass Index on Some Dietary Habits: An Application of Classification and Regression Tree
Sign Up to like & getrecommendations! Published in 2022 at "Iranian Journal of Public Health"
DOI: 10.18502/ijph.v51i6.9672
Abstract: Background: The purpose of this study was to determine the influence of some eating habits on body mass index (BMI) using a regression model created via the classification and regression tree method (CART). Methods: The… read more here.
Keywords: regression; classification; classification regression; body mass ... See more keywords
Classification and Regression Models for Genomic Selection of Skewed Phenotypes: A Case for Disease Resistance in Winter Wheat (Triticum aestivum L.)
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.835781
Abstract: Most genomic prediction models are linear regression models that assume continuous and normally distributed phenotypes, but responses to diseases such as stripe rust (caused by Puccinia striiformis f. sp. tritici) are commonly recorded in ordinal… read more here.
Keywords: genomic selection; classification regression; regression models; classification ... See more keywords
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2022.1103295
Abstract: Introduction Regression and classification are two of the most fundamental and significant areas of machine learning. Methods In this paper, a radial basis function neural network (RBFNN) based on an improved black widow optimization algorithm… read more here.
Keywords: regression problems; neural network; regression; classification ... See more keywords