Results 211 to 220 of about 24,298 (249)

Integrated hybrid modeling and SHAP (SHapley Additive exPlanations) to predict and explain the adsorption properties of thermoplastic polyurethane (TPU) porous materials. [PDF]

RSC Adv
Ma K.
europepmc   +1 more source

Interpretable prediction of acute respiratory infection disease among under-five children in Ethiopia using ensemble machine learning and Shapley additive explanations (SHAP). [PDF]

Digit Health
Tadese ZB, Hailu DT, Abebe AW, Kebede SD, Walle AD, Seifu BL, Nimani TD.   +6 more
europepmc   +1 more source

Weighted Mean SHapley Additive exPlanations (WMSHAP)

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Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations

Reliability Engineering and System Safety, 2023
Koji Shimoyama, Pramudita Palar
exaly   +2 more sources

Explaining anomalies detected by autoencoders using Shapley Additive Explanations

Expert Systems with Applications, 2021
Abstract Deep learning algorithms for anomaly detection, such as autoencoders, point out the outliers, saving experts the time-consuming task of examining normal cases in order to find anomalies. Most outlier detection algorithms output a score for each instance in the database.
Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, Lior Rokach   +3 more
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Shapley Additive Explanations for Text Classification and Sentiment Analysis of Internet Movie Database

Communications in Computer and Information Science, 2022
Rung Ching, Christine Dewi, Dewi Christine   +2 more
exaly   +2 more sources

Explanation of Machine Learning Models Using Improved Shapley Additive Explanation

Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 2019
When using machine learning techniques in decision-making processes, the interpretability of the models is important. In the present paper, we adopted the Shapley additive explanation (SHAP), which is based on fair profit allocation among many stakeholders depending on their contribution, for interpreting a gradient-boosting decision tree model using ...
Yasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, Naoki Nakashima   +3 more
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Explainable Anomaly Detection for District Heating Based on Shapley Additive Explanations

2020 International Conference on Data Mining Workshops (ICDMW), 2020
One key component in the heat-using facility of district heating systems is the differential pressure control valve. This valve ensures a stable flow of water to the heat exchanger and the temperature control valve. It also makes a stable pressure difference between the supply and return lines.
Sungwoo Park, Jihoon Moon, Eenjun Hwang
openaire   +1 more source

Scalable Computation of Shapley Additive Explanations

The growing field of explainable AI (XAI) develops methods that help better understand ML model predictions. While SHapley Additive exPlanations (SHAP) is a widely-used, model-agnostic method for explaining predictions, its use comes with a significant computational burden, particularly for complex models and large datasets with many features.
Louis Le Page, Christina Dionysio, Matthias Boehm 0001   +2 more
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