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Accurate prediction of shield tunneling-induced settlement is a complex problem that requires consideration of many influential parameters. Recent studies reveal that machine learning (ML) algorithms can predict the settlement caused by tunneling ...
K.K. Pabodha M. Kannangara +3 more
doaj +1 more source
Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations [PDF]
Published in proceedings of the European Control Conference ...
Sindre Benjamin Remman +1 more
openaire +3 more sources
Explaining multivariate molecular diagnostic tests via Shapley values
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 +3 more
doaj +1 more source
COVID-19 has further aggravated problems by compelling people to stay indoors and limit social interactions, leading to a worsening of the depression situation.
Hung Viet Nguyen, Haewon Byeon
doaj +1 more source
SHapley Additive exPlanations (SHAP) for Landslide Susceptibility Models: Shedding Light on Explainable AI [PDF]
This research examines the effectiveness of the SHapley Additive exPlanations (SHAP) approach in enhancing the interpretability of landslide susceptibility models. With the growing popularity of machine learning, we aim to understand how geoenvironmental
H. Al-Najjar +4 more
doaj +1 more source
The Shapley value for shortest path games [PDF]
In this paper shortest path games are considered. The transportation of a good in a network has costs and benet too. The problem is to divide the prot of the transportation among the players.
Pintér, Péter Miklós +2 more
core +2 more sources
Visualization of explainable artificial intelligence for GeoAI
Shapley additive explanations are a widely used technique for explaining machine learning models. They can be applied to basically any type of model and provide both global and local explanations.
Cédric Roussel
doaj +1 more source
Considerations When Learning Additive Explanations for Black-Box Models [PDF]
Many methods to explain black-box models, whether local or global, are additive. In this paper, we study global additive explanations for non-additive models, focusing on four explanation methods: partial dependence, Shapley explanations adapted to a ...
Tan, Sarah +4 more
core +1 more source
Diabetes Risk Prediction using Shapley Additive Explanations for Feature Engineering
Diabetes is prevalent globally, expected to increase in the next few years. This includes people with different types of diabetes including type 1 diabetes and type 2 diabetes.
Chinwe Miracle Chituru +2 more
doaj +1 more source
The growth of the photovoltaic (PV) industry is driving demand for structural materials with superior corrosion resistance, strength, and environmental adaptability. Weathering steels have emerged as promising candidates.
Yan Bai +6 more
doaj +1 more source

