Results 21 to 30 of about 776,810 (287)
Shapley additive explanations for NO2 forecasting
Ecological Informatics, 2020 Abstract In this paper, we address the problem of the interpretability of a machine learning model designed to predict air quality time series. When constructing a forecasting model, in addition to obtaining good accuracy, it is utterly important to understand why each prediction is made. Usually, interpreting the output of machine learning models is
María Vega García, José Luis Aznarte
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Interpretable machine learning for power systems : establishing confidence in SHapley Additive exPlanations [PDF]
, 2022 Interpretable Machine Learning (IML) is expected to remove significant barriers for the application of Machine Learning (ML) algorithms in power systems.
Papadopoulos, Panagiotis N; id_orcid +9 more
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Shapley Additive Explanations of Indicator PCB-138 Distribution in Breast Milk [PDF]
Proceedings of the International Scientific Conference - Sinteza 2020, 2020 Breastfeeding provides numerous health benefits for newborns by meeting the infantsʼ nutritional needs and supporting associated immunological protection. Maternal milk is high in fat, and therefore, represents a very suitable media for the bioaccumulation of lipophilic pollutants such as organochlorine pesticides (OCPs) and polychlorinated biphenyls ...
Stojić, Andreja +2 more
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CPT: Pharmacometrics & Systems Pharmacology, 2021 We developed a method to apply artificial neural networks (ANNs) for predicting time‐series pharmacokinetics (PKs), and an interpretable the ANN‐PK model, which can explain the evidence of prediction by applying Shapley additive explanations (SHAP).
Chika Ogami +6 more
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Players Indifferent to Cooperate and Characterizations of the Shapley Value [PDF]
, 2012 In this paper we provide new axiomatizations of the Shapley value for TU-games using axioms that are based on relational aspects in the interactions among players.
Enrique Gonzalez-aranguena +10 more
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Shapley Values for Feature Selection: The Good, the Bad, and the Axioms
IEEE Access, 2021 The Shapley value has become popular in the Explainable AI (XAI) literature, thanks, to a large extent, to a solid theoretical foundation, including four “favourable and fair” axioms for attribution in transferable utility games.
Daniel Fryer, Inga Strumke, Hien Nguyen
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BMC Bioinformatics, 2022 Background While it has been known that human protein kinases mediate most signal transductions in cells and their dysfunction can result in inflammatory diseases and cancers, it remains a challenge to find effective kinase inhibitor as drugs for these ...
You-Wei Fan +6 more
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Aero-Engine Health State Prediction Using EnsembleBRB-based SHapley Additive exPlanations Approach [PDF]
Jisuanji gongchengAs an important aspect of engine health management, predicting the health state of aero-engines can provide quantitative basis for improving aircraft reliability and reducing engine maintenance costs.
YOU Yaqian, YAN Hui, SU Yaofeng, WANG Xiaoshuang, YAN Ruicheng
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Explainable Deepfake and Spoofing Detection: An Attack Analysis Using SHapley Additive exPlanations
The Speaker and Language Recognition Workshop (Odyssey 2022), 2022 Accepted to Speaker Odyssey Workshop ...
Ge, Wanying +2 more
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ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Substantial progress in spoofing and deepfake detection has been made in recent years. Nonetheless, the community has yet to make notable inroads in providing an explanation for how a classifier produces its output. The dominance of black box spoofing detection solutions is at further odds with the drive toward trustworthy, explainable artificial ...
Ge, Wanying +3 more
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