Results 41 to 50 of about 29,055 (302)

Fast Explanation Using Shapley Value for Object Detection

IEEE Access
In explainable artificial intelligence (XAI) for object detection, saliency maps are employed to highlight important regions for a learned model’s prediction.
Michihiro Kuroki, Toshihiko Yamasaki
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Applications of the Shapley Value to Financial Problems

International Journal of Financial Studies
Managing risk, matching resources efficiently, and ensuring fair allocation are fundamental challenges in both finance and decision-making processes. In many scenarios, participants contribute unequally to collective outcomes, raising the question of how
Olamide Ayodele, Sunday Timileyin Ayodeji, Kayode Oshinubi   +2 more
doaj   +1 more source

Strong Time-Consistent Solution for Cooperative Differential Games with Network Structure

Mathematics, 2021
One class of cooperative differential games on networks is considered. It is assumed that interaction on the network is possible not only between neighboring players, but also between players connected by paths.
Anna Tur, Leon Petrosyan
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Rapid classification of micro-particles using multi-angle dynamic light scatting and machine learning approach

Frontiers in Bioengineering and Biotechnology, 2022
The rapid classification of micro-particles has a vast range of applications in biomedical sciences and technology. In the given study, a prototype has been developed for the rapid detection of particle size using multi-angle dynamic light scattering and
Xu He, Chao Wang, Yichuan Wang, Junxiao Yu, Yanfeng Zhao, Jianqing Li, Jianqing Li, Mubashir Hussain, Mubashir Hussain, Bin Liu   +9 more
doaj   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

A comprehensive review of the use of Shapley value to assess node importance in the analysis of biological networks

Computer Methods and Programs in Biomedicine Update
Background:: In 2017, Lundberg and Lee introduced SHAP, a breakthrough in Explainable AI, creatively applying the Shapley value to estimate the importance of input features in machine learning outputs.
Giang Pham, Paolo Milazzo
doaj   +1 more source

Explaining multivariate molecular diagnostic tests via Shapley values

BMC Medical Informatics and Decision Making, 2021
Background Machine learning (ML) can be an effective tool to extract information from attribute-rich molecular datasets for the generation of molecular diagnostic tests.
Joanna Roder, Laura Maguire, Robert Georgantas, Heinrich Roder   +3 more
doaj   +1 more source

Estimating Peak Shaving Capacity Demand of Gas-Fired Power in China From a Regional Coordination Perspective

Frontiers in Energy Research, 2022
To meet the carbon neutralization goal and renewable energy development, it is of great significance to promote the construction of gas-fired power generation for power peak shaving.
Shuquan Zhang, Ye Wang, Xu Zhao, Xuqiang Duan, Dongkun Luo   +4 more
doaj   +1 more source