Results 201 to 210 of about 11,307,335 (373)

An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms

, 2021
Rod Garratt
openalex   +1 more source

An anytime approximation method for the inverse Shapley value problem

, 2008
Coalition formation is the process of bringing together two or more agents so as to achieve goals that individuals on their own cannot, or to achieve them more efficiently.
Fatima, S, Jennings, N. R., Wooldridge, M   +2 more
core  

Bi‐Level Coordination of Demand Response and Multiple Virtual Power Plants in a Distribution Network for Flexibility Assessment

Energy Science &Engineering, EarlyView.
This study presents a hierarchical coordination framework where multiple VPPs interact with the DSO to optimize energy trades and flexibility offers. Each VPP aggregates DERs and DR, performing internal optimization, day‐ahead bidding, and assessing flexibility to reduce excess renewable generation and pollution.
Alireza Zare, Mohammad Agha Shafiyi, Mehrdad Setayesh Nazar, Miadreza Shafie‐khah, Pierluigi Siano   +4 more
wiley   +1 more source

Research on benefit allocation based on multi-weight H-Shapley value: A case study of express logistics sharing. [PDF]

PLoS One
Wang C, Chen J, Yu X.
europepmc   +1 more source

XAI in hindsight: Shapley values for explaining prediction accuracy

Andreas Brandsæter, Ingrid K. Glad
openalex   +1 more source

Faithful Group Shapley Value [PDF]

Lee Kil-Jae, Ziqi Liu, Weijing Tang, Yuanhang Zhang   +3 more
openalex   +1 more source

Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions [PDF]

, 2020
Raquel Rodríguez-Pérez, Jürgen Bajorath   +1 more
openalex   +1 more source

Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting systems have a long tradition in providing outputs accompanied by explanations. While the vast majority of such explanations relies on inherently interpretable linear statistical models, research has put forth eXplainable Artificial Intelligence (XAI) methods to improve the comprehensibility of nonlinear machine learning models. As
Felix Haag, Konstantin Hopf, Thorsten Staake   +2 more
wiley   +1 more source

A road data assets revenue allocation model based on a modified Shapley value approach considering contribution evaluation. [PDF]

Sci Rep
Li S, Chu L, Wang J, Zhang Y.
europepmc   +1 more source

A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning [PDF]

Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte   +2 more
openalex   +1 more source