Results 121 to 130 of about 72,345 (262)

Application of ADASYN and Optuna in the XGBoost Algorithm for Stunting Detection

Journal of Applied Informatics and Computing
This study aims to develop an early detection model for childhood stunting risk using a machine learning approach based on Extreme Gradient Boosting (XGBoost), integrated with the Adaptive Synthetic Sampling (ADASYN) technique for data balancing and ...
Fastabyq Putra Sadewa, Defri Kurniawan
doaj   +1 more source

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

Advanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna, Hugo A. Ordoñez Erazo, Carlos A. Cobos Lozada   +2 more
wiley   +1 more source

Software Development for Swimmer Performance Prediction System Based on Physical Characteristics using XGBoost

Journal of Applied Informatics and Computing
Swimmer performance assessment in Indonesia still largely depends on coaches’ intuition, which may lead to subjective decisions and inconsistencies in training program planning, particularly in environments where frequent changes in coaches and sports ...
Surya Pratama Tanzil, Tinaliah Tinaliah, Anugerah Widi   +2 more
doaj   +1 more source

AE-XGBoost: A Novel Approach for Machine Tool Machining Size Prediction Combining XGBoost, AE and SHAP

To achieve intelligent manufacturing and improve the machining quality of machine tools, this paper proposes an interpretable machining size prediction model combining eXtreme Gradient Boosting (XGBoost), autoencoder (AE), and Shapley additive ...
Mu Gu, Lin Lin, Shuimiao Kang, Zhihui Zhang, Zishuo Xu   +4 more
core   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Idiopathic Intracranial Hypertension Is Characterized by a Distinct Proteomic Profile

Annals of Neurology, EarlyView.
Objectives The pathophysiology of idiopathic intracranial hypertension (IIH) is poorly understood and disease‐specific biomarkers are lacking. We aimed to shed light on IIH pathophysiology and identify disease‐specific biomarkers. Methods This prospective cross‐sectional cohort study included patients with new‐onset IIH and age‐, body mass index‐, and ...
Santosh D. Bhosale, Arkadiusz Nawrocki, Johanne J. Korsbæk, Nadja S. Hansen, Fabian Foettinger, Nik Krajnc, Mathias J. Norvig, Niclas L. Eriksen, Stefan Macher, Berthold Pemp, Connar S.J. Westgate, Christian B. Pedersen, Frantz R. Poulsen, Sune Munthe, Gabriel Bsteh, Martin R. Larsen, Rigmor H. Jensen, Dagmar Beier   +17 more
wiley   +1 more source

Predicting lung cancer risk based on artificial intelligence: Leveraging multifactorial inputs for early detection

Medicine Science
Lung cancer remains the leading cause of cancer-related mortality worldwide, largely because most cases are detected at advanced stages. This study develops and validates multifactorial machine-learning models that integrate demographic, behavioural ...
Emek Guldogan, Fatma Hilal Yagin, Erol Karaaslan   +2 more
doaj   +1 more source

Two-Level Ensemble with Four Meta-Features for Diabetes Classification on Clinical Tabular Data

Journal of Applied Informatics and Computing
Diabetes mellitus remains a major global public health challenge due to its increasing prevalence, high risk of chronic complications, and growing burden on healthcare systems.
Farid Ma'ruf, Ifnu Wisma Dwi Prasetya, Ita Aristia Sa’ida   +2 more
doaj   +1 more source

Ensemble Learning for Diabetes Classification Using Voting Classifier on CDC Health Indicators Dataset

Cyprus Journal of Medical Sciences
BACKGROUND/AIMS: Diabetes is one of the paramount public health challenges, affecting millions worldwide. Classification models can boost early detection and aid in treatment, particularly for diabetes type 2.
Bardia Arman, Kian Jazayeri, Erbug Celebi, Kezban Alpan, Kamil Dimililer   +4 more
doaj   +1 more source

Patterns of interspecific variation in labial microarchitecture among anthropoid primates and the evolution of the hominin lips

The Anatomical Record, EarlyView.
Comparative histological and semi‐automated image analysis of primate lips: Masson's trichrome‐stained sagittal sections were segmented to quantify the connective tissue, adipose, and muscular components, enabling interspecific comparisons of labial architecture.
Liat Rotenstreich, Kfir Eliyahu, Nir Edery, Lior Moss, Saleem Eben Bari, Assaf Marom   +5 more
wiley   +1 more source