Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 25 for “"RFE"”.
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IMPACT OF CLIMATE CHANGE ON WILDLAND FIRE THREAT TO THE AMUR TIGER AND ITS HABITAT
… and temperate forests of the Russian Far East (RFE). In the RFE, large fire events lead to abrupt, extensive, and long-term conversion of forests to open landscapes, thus considerably impacting the habitat of the critically endangered Amur tiger (Panthera tigris altaica). A remotely sensed …
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Enhancing Algorithmic Early Warning Systems with Dynamic Selection to Predict High School Graduation Outcomes
… methods such as Recursive Feature Elimination (RFE) and Cross Validation on traditional and modern predictive algorithms, this study demonstrates how advanced data techniques can improve the accuracy and reliability of these systems while allowing for far more variables to be used as early …
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Leveraging Machine Learning and Causal Inference for Loan Default Prediction
… two different Recursive Feature Elimination (RFE) variations based on: (1): occlusion sensitivity and (2): double machine learning (DML), each providing a unique view of feature engineering. These RFE methods were then coupled with machine learning models such as Logistic Regression, Random …
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Machine learning para la selección de genes implicados en el desarrollo de Arabidopsis thaliana utilizando datos de expresión génica
… en modelos de clasificación: FP-RF, RF-RFE SVM-RFE. Además, se evaluó la capacidad del método autoencoder para la representación de estos datos en una dimensión reducida. Los grupos de genes seleccionados por ML mostraron un alto rendimiento en la clasificación de las muestras por RF, …
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Investigation of Surface Instability Processes in Burned Areas through Remote Sensing and Field Surveys
… Efficiency Index (FEI), Rock-Fuel Efficiency (RFE) and Fire-driven Erosion Rock Susceptibility Index (FERSI)—quantify these effects, linking vegetation energy and fire intensity and, consequently, photosynthesis activity and fire severity indexes, to geomorphic responses. Geological discoveries …
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Feature selection for cancer classification using microarray gene expression data
… kernel clustering) (Shim et al., 2009) and SVM-RFE (support vector machine with recursive feature elimination) (Guyon et al., 2002), the proposed method is shown to be more effective and sensitive to differentially expressed genes. In the simulation study, the proposed method has much higher …
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Civil Disobedience as a Radical Flank in the Mountain Valley Pipeline Resistance Movement
… and West Virginia. I apply radical flank effect (RFE) theory and the theory of movement dynamism to understand the role of civil disobedience, as a radical flank, in the MVP resistance movement. I contribute to the literature on RFEs by focusing primarily on how the radical flank of this movement …
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Alternative Analytical and Experimental Procedures to Explore Rumen Fermentation as Driven by Nutrient Supplies
… meta-analysis, recursive feature elimination (RFE), and additive Bayesian networking (ABN) in identifying relationships among diet, rumen, and milk performance variables. Both mixed-models and ABN agreed upon most of the variables and relationships identified while RFE failed to capture …
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NEW ADVANCES IN QUANTITATIVE RADIOLOGY: RADIOMICS IN NEURORADIOLOGY APPLIED TO PRIMARY BRAIN TUMORS USING A MACHINE LEARNING APPROACH
… Results: Feature selection methods (Boruta, RFE and LR-EL) identified age and 3 radiomics features for MGMT prediction and 3 features for IDH prediction. For IDH prediction, SVM classifier achieved average 96.8% accuracy and 0.929 AUC during the training phase, and 84.6% accuracy and 0.60 AUC …
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Improving prediction of opioid use disorder with machine learning algorithms
… Boruta and Recursive Feature Elimination (RFE), to identify the best predictor through a majority voting system. The selected feature, combined with 10 demographic, socioeconomic, physical, and psychological predictors (gender, age, employment Status (Full time, Part time,..), income, Level …
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Applied Thermoelectric Solutions
… run dry in 40 years, according to experts from RFE/RL website. To combat this issue, research into renewable energy is becoming more prevalent. Currently there are several alternative fuel methods being researched for use in mass transit. As of now, gasoline/electric hybrid technology is being …
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CLASSIFICATION OF PATIENTS WITH PAROTID CANCER USING DYNAMIC CONTRAST AND DIFFUSION EXAMINATIONS WITH RADIOMICS AND MACHINE LEARNING TECHNIQUES
… ReliefF, and Recursive Feature Elimination (RFE) that allowed the identification of the association between each considered radiomics predictor and the patient class (A, M, W), thus enabling the selection of an ensemble of optimal features to train the machine learning classification …
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Algorithms in comparative genomics
… SVM, and SVM Recursive Feature Elimination (SVM-RFE).
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Forensic research on detecting seam carving in digital images
… SVM based recursive feature elimination (SVM-RFE), with a small amount of features selected from the proposed model the overall performance is further improved. Combining above mentioned two works, a hybrid feature model is then proposed as the third work to further boost the accuracy in …
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Variability of aerosol and cloud optical properties and their effect on the transfer of solar irradiance in the atmosphere
… at 30o (-6.9 ± 0.9 W/m2), while at 60o the RFE was almost 2.5 times lower (-2.7 ±0.1 W/m2). In the UV-B region (300-315nm), the RFE value at 60o and 30o was estimated to be equal to -0.069 ±0.005 W/m2 and -0.35 ±0.04 W/m2, respectively. The estimated monthly averages of the Brewer single …
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Probing the Mycobacterial Cell Envelope: CRISPR interference-mediated investigation of two essential genes in the galactan biosynthetic pathway
… and cell morphology. The CRISPR interference (CRISPRi) genome editing system was used to target genes involved in galactan biosynthesis and generate transcriptional knock down of wecA (also known as rfe, MSMEG_4947) and rfbD (MSMEG_6369) in M. smegmatis, a widely exploited modal for …
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Modelling prognostic trajectories in Alzheimer’s disease
… with recursive feature elimination (PLSr-RFE). This method applies a hybrid-feature selection and feature construction method that captures co-morbidities in cognition and pathophysiology, resulting in an index of Alzheimer’s disease atrophy from structural MRI. We validated our choice of …
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Contributions to evaluation of machine learning models. Applicability domain of classification models
… After applying recursive feature elimination (RFE) method, the accuracy is 0.96% with 0.27 thresholds average. For the robustness of the classification model based on the applicability domain approach, the minimum accuracy is 0.62% for Indian Liver Patient data at r=0.10, and the maximum …
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Contributions to evaluation of machine learning models. Applicability domain of classification models
… After applying recursive feature elimination (RFE) method, the accuracy is 0.96% with 0.27 thresholds average. For the robustness of the classification model based on the applicability domain approach, the minimum accuracy is 0.62% for Indian Liver Patient data at r=0.10, and the maximum …
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Ensemble Tree-Based Machine Learning for Imaging Data
… NTA (vita), varSelRF, VSURF, RF-SRC, AUCRF, and RFE methods. Also, the mentioned methods are applied to three publicly available datasets.</p>
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