Ocean wave prediction using Long Short-Term Memory (LSTM) and Extreme Gradient Boosting (XGBoost) in Tuban Regency for fisherman safety. [PDF]
Dhiya'ulhaq RA +3 more
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Enhancing prediction and inference of daily in-stream nutrient and sediment concentrations using an extreme gradient boosting based water quality estimation tool - XGBest. [PDF]
Jain S +7 more
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Sensitivity analysis of slope stability based on eXtreme gradient boosting and SHapley Additive exPlanations: An exploratory study. [PDF]
Lin H +7 more
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Prioritizing genomic variants pathogenicity via DNA, RNA, and protein-level features based on extreme gradient boosting. [PDF]
Ding M, Chen K, Yang Y, Zhao H.
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Prediksi Stroke Menggunakan Extreme Gradient Boosting
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Enhancing ground loss rate prediction in soft-soil shield tunneling: a synergistic approach of peck back analysis and eXtreme Gradient Boosting and bayesian optimization. [PDF]
Ding Z, Tu W, Li X.
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Genomic basis of seed colour in quinoa inferred from variant patterns using extreme gradient boosting. [PDF]
Sandell FL +4 more
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Assessing the predictive value of morphological traits on primary lifestyle of birds through the extreme gradient boosting algorithm. [PDF]
Madrigal-Roca LJ.
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Extreme Gradient Boosting for Cyberpropaganda Detection
2021Propaganda, defamation, abuse, insults, disinformation and fake news are not new phenomena and have been around for several decades. However, with the advent of the Internet and social networks, their magnitude has increased and the damage caused to individuals and corporate entities is becoming increasingly greater, even irreparable. In this paper, we
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Self-trained eXtreme Gradient Boosting Trees
2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), 2019Semi-Supervised Learning (SSL) is an ever-growing research area offering a powerful set of methods, either single or multi-view, for exploiting both labeled and unlabeled instances in the most effective manner. Self-training is a representative SSL algorithm which has been efficiently implemented for solving several classification problems in a wide ...
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