Výsledky vyhledávání - Feature-based enhanced boosting algorithm

Feature-based enhanced boosting algorithm for depression detection Autor Rohei, Muhammad Sadiq, Varathan, Kasturi Dewi, Palaiahnakote, Shivakumara, Anuar, Nor Badrul

“… Thus, this study has developed a novel feature-based enhanced boosting algorithm (F-EBA). The proposed model covers two pipelines, the feature engineering…”
Získat plný text

Automated detection of arrhythmias using a novel interpretable feature set extracted from 12-lead electrocardiogram Autor Kolliyil, Jibin Joy, Brindise, Melissa C.

“… This study bridges this gap by proposing a feature-based approach that maintains comparable performance to deep learning while providing enhanced interpretability for clinical utility…”
Získat plný text

A modified Bayesian boosting algorithm with weight-guided optimal feature selection for sentiment analysis Autor Nayak, Smitha, Savita, Sharma, Yogesh Kumar

“… In this study, we propose a modified Bayesian Boosting algorithm with weight-guided optimal feature selection for sentiment analysis…”
Získat plný text

Development and validation of a contrast-enhanced CT-based radiomics nomogram for differentiating mass-like thymic hyperplasia and low-risk thymoma Autor Dong, Wentao, Xiong, Situ, Wang, Xiaolian, Hu, Shaobo, Liu, Yangchun, Liu, Hao, Wang, Xin, Chen, Jiaqi, Qiu, Yingying, Fan, Bing

“… (LASSO) algorithm was used to obtain the optimal features. Based on the selected features, four machine learning models, support vector machine (SVM…”
Získat plný text

Enhancing Exchange-Traded Fund Price Predictions: Insights from Information-Theoretic Networks and Node Embeddings Autor Choi, Insu, Kim, Woo Chang

“… By integrating these features into gradient-boosting algorithm-based models, we significantly enhanced the predictive accuracy…”
Získat plný text

Texture analysis and gradient magnitude extracted features based active contour image segmentation Autor Ibrahim, Noor Khalid

“… is gradient magnitude with a central difference operator when the enhanced process to the image quality is performed on a grayscale of the input image by reducing noise with Wiener filter and Histogram…”
Získat plný text

Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification Autor Khan, Mohammad Zubair, Li, David

“… The proposed method addresses the challenges posed by datasets containing inherent internal clusters that lack explicit feature-based separations…”
Získat plný text

Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification Autor Khan, Mohammad Zubair, Li, David

“… The proposed method addresses the challenges posed by datasets containing inherent internal clusters that lack explicit feature-based separations…”
Získat plný text

Machine learning-based models for screening of anemia and leukemia using features of complete blood count reports Autor Amjad, Hafsa, Hussain, Zamir, Hasan, Mahnoor, Ul Hassan, Mahmood

“… of CBC reports often lead to random clinical testing. Such disease prediction analyses can be enhanced by the incorporation of machine learning (ML…”
Získat plný text

Optimal Segmentation Scale Parameter, Feature Subset and Classification Algorithm for Geographic Object-Based Crop Recognition Using Multisource Satellite Imagery Autor Yang, Lingbo, Mansaray, Lamin R., Huang, Jingfeng, Wang, Limin

“… However, issues related to image segmentation, data redundancy and performance of different classification algorithms with GEOBIA have not been properly addressed in previous studies, thereby…”
Získat plný text

Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project Autor Kwiendacz, Hanna, Huang, Bi, Chen, Yang, Janota, Oliwia, Irlik, Krzysztof, Liu, Yang, Mantovani, Marta, Zheng, Yalin, Hendel, Mirela, Piaśnik, Julia, Wójcik, Wiktoria, Alam, Uazman, Gumprecht, Janusz, Lip, Gregory Y. H., Nabrdalik, Katarzyna

“… [LR], Random forest [RF], Support vector classification [SVC], Light gradient boosting machine [LGBM…”
Získat plný text

A blockchain-enabled healthcare system for cervical cancer risk prediction using enhanced metaheuristic optimised graph convolutional attention based GRU Autor R, Anusha, Prasad, Srinivas

“… An improved spotted hyena optimization algorithm is employed for cervical cancer risk prediction, fine-tuning a Graph Convolutional Network (GCN…”
Získat plný text

Research on Estimating and Evaluating Subtropical Forest Carbon Stocks by Combining Multi-Payload High-Resolution Satellite Data Autor Du, Yisha, Chen, Donghua, Li, Hu, Liu, Congfang, Liu, Saisai, Zhang, Naiming, Fan, Jingwei, Jiang, Deting

“… in Chuzhou City as the study area, extracts remote sensing features such as spectral features, texture features, backscattering coefficient, and other remote sensing features based on multi-loaded, high…”
Získat plný text

An Improved Rotation Forest for Multi-Feature Remote-Sensing Imagery Classification Autor Xiu, Yingchang, Liu, Wenbao, Yang, Wenjing

“… The feature set was randomly split into several disjoint subsets; then, PCA was applied to each subset, and new training data for linear extracted features based on original training data were obtained…”
Získat plný text

Predicting thermal desorption efficiency of PAHs in contaminated sites based on an optimized machine learning approach Autor Zhang, Shuai, Wang, Shuyuan, Zhao, Jiating, Zhu, Lizhong

“… The results revealed that the extreme gradient boosting (XGB) model yielded the most accurate predictions (R2 = 0.9832…”
Získat plný text

Regression-classification ensemble machine learning model for loading capacity and bucking mode prediction of cold-formed steel built-up I-section columns Autor Lu, Yan, Wu, Bin, Li, Wenchao, Zhou, Tianhua, Li, Yanchun

“… results were described in detail.•To improve the explainability of the ML model, the physical information-enhanced features based on the knowledge of the direct strength method…”
Získat plný text

Predicting bankruptcy of manufacturing companies in EU Autor Klepáč, Václav, Hampel, David

“… Pre-processing is enhanced with filter based feature selection like Gain ratio and Relief algorithm to acquire attributes with the best information value…”
Získat plný text

Analysis of heart sound anomalies using ensemble learning Autor Baydoun, Mohammed, Safatly, Lise, Ghaziri, Hassan, El Hajj, Ali

“…https://www.medicalnewstoday.com/articles/320591 [Display omitted] Phonocardiogram (PCG) signal analysis is a common method for evaluating the condition of the…”
Získat plný text

PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio Classification Autor Seth, Ashish, Selvakumar, Ramaneswaran, Kumar, Sonal, Ghosh, Sreyan, Manocha, Dinesh

“… In this paper, we introduce PAT (Parameter-free Audio-Text aligner), a simple and training-free method aimed at boosting the zero-shot audio classification performance of CLAP-like ALMs…”
Získat plný text

XGBXSS: An Extreme Gradient Boosting Detection Framework for Cross-Site Scripting Attacks Based on Hybrid Feature Selection Approach and Parameters Optimization Autor Mokbal, Fawaz Mahiuob Mohammed, Dan, Wang, Xiaoxi, Wang, Wenbin, Zhao, Lihua, Fu

“… In this study, we proposed XGBXSS, a novel web-based XSS attack detection framework based on an ensemble-learning technique using the Extreme Gradient Boosting algorithm (XGboost…”
Získat plný text