Results 141 to 150 of about 11,307,335 (373)
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
A Review on Liao’s Dissertation Entitled “The Solutions on Multi-choice Games” and Related Publications [PDF]
In 2007, Liao finished his Ph.d. dissertation[18](Liao 2007) entitled “The Solutions on Multi-choice Games”. Chapter 1 of the dissertation mainly worked on two special cases of the H&R multi-choice Shapley value. One assumes that the weight function w(j)
Hsiao, Chih-Ru
core +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification. [PDF]
PLoS One, 2022 Ukil A, Marin L, Jara AJ.
europepmc +1 more source
, 2003 A method to allocate the benefits to the players of a cooperative game is the Shapley value. Its computation demands the knowledge of all coaltion worths with certainty. This paper introduces the expected Shapley value, an extension of the Shapley to games were not all the worths are known with certainty.
openaire +2 more sources
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
Advanced Intelligent Systems, EarlyView.This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Discovery of moiety preference by Shapley value in protein kinase family using random forest models. [PDF]
BMC Bioinformatics, 2022 Huang YW +7 more
europepmc +1 more source
Computational Aspects of Extending the Shapley Value to Coalitional Games with Externalities
, 2010 Until recently, computational aspects of the Shapley value were only studied under the assumption that there are no externalities from coalition formation, i.e., that the value of any coalition is independent of other coalitions in the system.
Jennings, Nicholas +4 more
core
Advanced Intelligent Systems, EarlyView.Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu +6 more
wiley +1 more source