Explanation of Machine Learning Models Using Improved Shapley Additive Explanation
Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 2019When 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 +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), 2020One 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
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Leukocyte deep learning classification assessment using Shapley additive explanations algorithm
International Journal of Laboratory Hematology, 2023AbstractIntroductionA peripheral blood smear is a basic test for hematological disease diagnosis. This test is performed manually in many places worldwide, which requires both time and qualified staff. Large laboratories are equipped with digital morphology analyzers, some of which are based on deep learning methods. However, it is difficult to explain
Adrian Michalski +2 more
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SHapley Additive exPlanations for Machine Emotion Intelligence in CNNs
With the rise of Artificial Intelligence (AI), the inclusion of emotion recognition in Machine Emotion Intelligence (MEI) has revolutionized Human–Computer Interaction (HCI). However, using Convolutional Neural Network (CNN) for emotion recognition presents a significant obstacle due to their inherent opacity.Kirabo, Calvin +7 more
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An Empirical Evaluation of Shapley Additive Explanations: A Military Implication
2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2023Trupthi Rao +2 more
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Shapley Additive Explanations for Traveling Wave-based Protection on Distribution Systems
2022 North American Power Symposium (NAPS), 2022Miguel Jimenez Aparicio +2 more
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Interpretability of SurvivalBoost upon Shapley Additive Explanation value on medical data
Communications in Statistics - Simulation and Computation, 2022Yating Wang, Jinxia Su, Xuejing Zhao
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Shapley Additive Explanations (SHAP) for Average Attributions
2021Przemyslaw Biecek, Tomasz Burzykowski
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Shapley Additive Explanations for Knowledge Discovery in Aerodynamic Shape Optimization
AIAA SCITECH 2023 Forum, 2023Satoshi Takanashi +3 more
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Understanding Student Success Prediction Using SHapley Additive exPlanations
2023 International Scientific Conference on Computer Science (COMSCI), 2023Berat Ujkani +2 more
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