Generalized Pinball Loss SVMs
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.079
Abstract: Abstract Support Vector Machine (SVM) is a well-known efficient classification technique which appropriately trade-offs between the training error and the generalization ability of the classifier. But SVM’s are known to be sensitive towards noise and… read more here.
Keywords: pinball loss; svm model; svm; pin svm ... See more keywords
An Algorithm for Time Prediction Signal Interference Detection Based on the LSTM-SVM Model
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1626458
Abstract: Interference detection is an important part of the electronic defense system. It is difficult to detect interference with the traditional method of extracting characteristic parameters for interference generated at the same frequency as the original… read more here.
Keywords: svm model; lstm svm; interference detection; interference ... See more keywords
Prediction of Bronchopneumonia Inpatients' Total Hospitalization Expenses Based on BP Neural Network and Support Vector Machine Models
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/9275801
Abstract: Objective BP neural network (BPNN) model and support vector machine (SVM) model were used to predict the total hospitalization expenses of patients with bronchopneumonia. Methods A total of 355 patients with bronchopneumonia from January 2018… read more here.
Keywords: svm model; hospitalization expenses; total hospitalization; hospitalization ... See more keywords
Targeted Metabolomic Profiling of Plasma Samples in Gastric Cancer by Liquid Chromatography-Mass Spectrometry
Sign Up to like & getrecommendations! Published in 2022 at "Digestion"
DOI: 10.1159/000526864
Abstract: Introduction: As the high mortality rate of gastric cancer (GC) is due to delayed diagnosis, early detection is vital for improved patient outcomes. Metabolic deregulation plays an important role in GC. Although various metabolite-level biomarkers… read more here.
Keywords: rbf svm; gastric cancer; rbf; svm model ... See more keywords
Susceptibility mapping and zoning of highway landslide disasters in China
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0235780
Abstract: Prominent regional differentiations of highway landslide disasters (HLDs) bring great difficulties in highway planning, designing and disaster mitigation, therefore, a comprehensive understanding of HLDs from the spatial perspective is a basis for reducing damages. Statistical… read more here.
Keywords: susceptibility; mapping zoning; highway landslide; landslide disasters ... See more keywords
MRI-Based Radiomics for Differentiating Orbital Cavernous Hemangioma and Orbital Schwannoma
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2021.795038
Abstract: Aim: The purpose of this work was to develop and evaluate magnetic resonance imaging (MRI)-based radiomics for differentiation of orbital cavernous hemangioma (OCH) and orbital schwannoma (OSC). Methods: Fifty-eight patients (40 OCH and 18 OSC,… read more here.
Keywords: based radiomics; och osc; svm model; orbital cavernous ... See more keywords
Support Vector Machine Model Predicts Dose for Organs at Risk in High-Dose Rate Brachytherapy of Cervical Cancer
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2021.619384
Abstract: Introduction This study aimed to establish a support vector machine (SVM) model to predict the dose for organs at risk (OARs) in intracavitary brachytherapy planning for cervical cancer with tandem and ovoid treatments. Methods Fifty… read more here.
Keywords: cervical cancer; sigmoid colon; model; brachytherapy ... See more keywords
Predictive models based on machine learning for bone metastasis in patients with diagnosed colorectal cancer
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2022.984750
Abstract: Background This study aimed to develop an artificial intelligence predictive model for predicting the probability of developing BM in CRC patients. Methods From SEER database, 50,566 CRC patients were identified between January 2015 and December… read more here.
Keywords: predictive models; svm model; bone metastasis; crc patients ... See more keywords
Investigation of the EWT–PSO–SVM Model for Runoff Forecasting in the Karst Area
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095693
Abstract: As the runoff series exhibit nonlinear and nonstationary characteristics, capturing the embedded periodicity and regularity in the runoff series using a single model is challenging. To account for these runoff characteristics and enhance the forecasting… read more here.
Keywords: runoff; pso svm; model; svm model ... See more keywords