An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
An Equivalent Formulation for the Shapley Value
The final authenticated version is available online at: https://doi.org/10.1007/978-3-662-58464-4_1. An equivalent explicit formula for the Shapley value is provided, its equivalence with the classical one is proven by double induction. The importance of this new formula, in contrast to the classical one, is its capability of being extended to more ...
openaire +3 more sources
Forming societies and the Shapley NTU value [PDF]
We design a simple protocol of coalition formation. A society grows up by sequentially incorporating new members. The negotiations are always bilateral.
Juan Vidal-Puga
core
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification. [PDF]
Ukil A, Marin L, Jara AJ.
europepmc +1 more source
AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song +6 more
wiley +1 more source
Discovery of moiety preference by Shapley value in protein kinase family using random forest models. [PDF]
Huang YW +7 more
europepmc +1 more source
Computational Aspects of Extending the Shapley Value to Coalitional Games with Externalities
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.
Rahwan, Talal +4 more
core
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source
Marginal contributions and externalities in the value [PDF]
For games in partition function form, we explore the implications of distinguishing between the concepts of intrinsic marginal contributions and externalities.
Serrano, Roberto +2 more
core

