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Predicting food prices in Kenya using machine learning - a hybrid model approach with XGBoost and gradient boosting

Predicting food prices in Kenya using machine learning - a hybrid model approach with XGBoost and gradient boosting

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Identifying metabolism-related genes in liver cancer through weighted gene co-expression network analysis and machine learning

Identifying metabolism-related genes in liver cancer through weighted gene co-expression network analysis and machine learning

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Explainability Versus Accuracy of Machine Learning Models - The Role of Task Uncertainty and Need for Interaction with the Machine Learning Model

Explainability Versus Accuracy of Machine Learning Models - The Role of Task Uncertainty and Need for Interaction with the Machine Learning Model

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Integrating advanced frequency-domain signal processing with machine learning for accurate leak detection in subsurface CO2 storage - Article Abstract

Integrating advanced frequency-domain signal processing with machine learning for accurate leak detection in subsurface CO2 storage - Article Abstract

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Metabolome profiling by untargeted metabolomics and biomarker panel selection using machine-learning for patients in different stages of peripheral neuropathy induced by oxaliplatin

Metabolome profiling by untargeted metabolomics and biomarker panel selection using machine-learning for patients in different stages of peripheral neuropathy induced by oxaliplatin

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Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning - Part 1

Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning - Part 1

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Dynamic Optimisation for Graded Tissue Scaffolds Using Machine Learning Techniques

Dynamic Optimisation for Graded Tissue Scaffolds Using Machine Learning Techniques

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Explainability in Machine Learning Models - A Shap-Driven Framework for Misclassification Analysis and Feature Selection

Explainability in Machine Learning Models - A Shap-Driven Framework for Misclassification Analysis and Feature Selection

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Machine learning identifies waist‑height ratio (WHtR) as the strongest determinant of diabetes and prediabetes in children and adolescents - A comprehensive national nutrition survey

Machine learning identifies waist‑height ratio (WHtR) as the strongest determinant of diabetes and prediabetes in children and adolescents - A comprehensive national nutrition survey

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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data - lessons learned

Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data - lessons learned

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Interpretable Machine Learning-Based Detection of Coeliac Disease

Interpretable Machine Learning-Based Detection of Coeliac Disease

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Machine Learning with Applications in Economics

Machine Learning with Applications in Economics

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Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma

Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma

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Correlation of triglyceride-glucose index with the incidence and prognosis of hyperglycemic crises in critically ill patients with diabetes mellitus - a machine-learning-based multicenter retrospective cohort study

Correlation of triglyceride-glucose index with the incidence and prognosis of hyperglycemic crises in critically ill patients with diabetes mellitus - a machine-learning-based multicenter retrospective cohort study

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Process mapping and anomaly detection in laser wire directed energy deposition additive manufacturing using in-situ imaging and process-aware machine learning

Process mapping and anomaly detection in laser wire directed energy deposition additive manufacturing using in-situ imaging and process-aware machine learning

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