Results 41 to 50 of about 16,703 (255)

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

RETRACTED ARTICLE: Research on Data Analysis of Efficient Innovation and Entrepreneurship Practice Teaching Based on LightGBM Classification Algorithm

, 2023
The transformation of innovation and entrepreneurship practice teaching and education methods has put forward higher requirements for the intelligence and personalization of online education platforms.
Binbin Huang, Ciyu Wang
core   +1 more source

Assessment of Stable Slopes Through BPSO-Driven Ensemble Models

Slovak Journal of Civil Engineering
This study explores a hybrid approach that combines BPSO with ensemble machine learning techniques to improve predictive accuracy in assessments of slope stability.
Anuragi Saurabh Kumar, Kishan D.
doaj   +1 more source

Assessment and Prediction of Typhoon-Related Direct Economic Loss in Fujian Province Based on LightGBM

Redai dili
Typhoons are among the most destructive natural disasters affecting China's coastal regions, often resulting in substantial economic loss and casualties.
Zhang Zhixia, Yang Jian, Chen Sixiao, Lin Sen   +3 more
doaj   +1 more source

Identifying Systemic Lupus Erythematosus From Serum Proteomic Profiles Using Machine Learning and Genetic Risk Stratification

Arthritis &Rheumatology, EarlyView.
Objective Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Patients with lupus and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu, Jishnu Das, Amr H. Sawalha   +2 more
wiley   +1 more source

A Hybrid Approach to Music Recommendations Based on Audio Similarity Using Autoencoder and LightGBM

Journal of Applied Informatics and Computing
Music recommendation systems help users navigate large music collections by suggesting songs aligned with their preferences. However, conventional methods often overlook the depth of audio content, limiting personalization and accuracy.
Winda Ardelia Aristawidya, Majid Rahardi
doaj   +1 more source

Prediction of potential small molecule−miRNA associations based on heterogeneous network representation learning

Frontiers in Genetics, 2022
MicroRNAs (miRNAs) are closely associated with the occurrences and developments of many complex human diseases. Increasing studies have shown that miRNAs emerge as new therapeutic targets of small molecule (SM) drugs. Since traditional experiment methods
Jianwei Li, Jianwei Li, Hongxin Lin, Yinfei Wang, Zhiguang Li, Baoqin Wu   +5 more
doaj   +1 more source

Explainable LightGBM Approach for Predicting Myocardial Infarction Mortality

2023 International Conference on Computational Science and Computational Intelligence (CSCI), 2023
This article has been accepted at the 2023 International Conference on Computational Science and Computational Intelligence (CSCI 23)
Ana Letícia Garcez Vicente, Roseval Malaquias Junior, Roseli A. F. Romero   +2 more
openaire   +2 more sources

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Estimating the water quality index based on interpretable machine learning models

Water Science and Technology
The water quality index (WQI) is an important tool for evaluating the water quality status of lakes. In this study, we used the WQI to evaluate the spatial water quality characteristics of Dianchi Lake. However, the WQI calculation is time-consuming, and
Shiwei Yang, Ruifeng Liang, Junguang Chen, Yuanming Wang, Kefeng Li   +4 more
doaj   +1 more source