Suchergebnisse - Feature-based enhanced boosting algorithm

Feature-based enhanced boosting algorithm for depression detection von 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 …”
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Automated detection of arrhythmias using a novel interpretable feature set extracted from 12-lead electrocardiogram von 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 …”
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A modified Bayesian boosting algorithm with weight-guided optimal feature selection for sentiment analysis von 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 …”
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Development and validation of a contrast-enhanced CT-based radiomics nomogram for differentiating mass-like thymic hyperplasia and low-risk thymoma von 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 …”
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Enhancing Exchange-Traded Fund Price Predictions: Insights from Information-Theoretic Networks and Node Embeddings von Choi, Insu, Kim, Woo Chang

“… By integrating these features into gradient-boosting algorithm-based models, we significantly enhanced the predictive accuracy …”
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Texture analysis and gradient magnitude extracted features based active contour image segmentation von 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 …”
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Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification von Khan, Mohammad Zubair, Li, David

“… The proposed method addresses the challenges posed by datasets containing inherent internal clusters that lack explicit feature-based separations …”
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Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification von Khan, Mohammad Zubair, Li, David

“… The proposed method addresses the challenges posed by datasets containing inherent internal clusters that lack explicit feature-based separations …”
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Machine learning-based models for screening of anemia and leukemia using features of complete blood count reports von 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 …”
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Optimal Segmentation Scale Parameter, Feature Subset and Classification Algorithm for Geographic Object-Based Crop Recognition Using Multisource Satellite Imagery von 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 …”
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Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project von 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 …”
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A blockchain-enabled healthcare system for cervical cancer risk prediction using enhanced metaheuristic optimised graph convolutional attention based GRU von R, Anusha, Prasad, Srinivas

“… An improved spotted hyena optimization algorithm is employed for cervical cancer risk prediction, fine-tuning a Graph Convolutional Network (GCN …”
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Research on Estimating and Evaluating Subtropical Forest Carbon Stocks by Combining Multi-Payload High-Resolution Satellite Data von 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 …”
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An Improved Rotation Forest for Multi-Feature Remote-Sensing Imagery Classification von 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 …”
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Predicting thermal desorption efficiency of PAHs in contaminated sites based on an optimized machine learning approach von 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 …”
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Regression-classification ensemble machine learning model for loading capacity and bucking mode prediction of cold-formed steel built-up I-section columns von 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 …”
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Predicting bankruptcy of manufacturing companies in EU von 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 …”
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Analysis of heart sound anomalies using ensemble learning von 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 …”
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PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio Classification von 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 …”
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XGBXSS: An Extreme Gradient Boosting Detection Framework for Cross-Site Scripting Attacks Based on Hybrid Feature Selection Approach and Parameters Optimization von 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 …”
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