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Search: subject:"Shapley Additive Explanations"
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Artificial intelligence
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9
Shapley additive explanations
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8
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SHapley Additive exPlanations
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machine learning
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Shapley additive explanations (SHAP)
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Hedonic price index
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2
Shapley Additive Explanations
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Dell'Anna, Federico
2
Kocaarslan, Baris
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Andrés Sánchez, Jorge de
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Bagheri, Ali
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Bao, Yiqin
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Boudt, Kris
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Chadaga P., Rajagopala
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Delen, Dursun
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Fan, Xiuyi
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Energy policy : the international journal of the political, economic, planning, environmental and social aspects of energy
3
Finance research letters
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ECONIS (ZBW)
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1
Bridging accuracy and interpretability : a decision support system for stock deployment and additive manufacturing decisions in spare parts distribution networks
Cantini, Alessandra
;
Coruzzolo, Antonio Maria
;
Lolli, …
- In:
Logistics
10
(
2026
)
4
,
pp. 1-30
; (iii) Random Forest trained on this dataset predicts optimal solutions, with
SHapley
Additive
exPlanations
(SHAP …
Persistent link: https://www.econbiz.de/10015650491
Saved in:
2
Machine learning framework for evaluating energy performance certificate (EPC) effectiveness in real estate : a case study of Turin's private residential market
Dell'Anna, Federico
- In:
Energy policy : the international journal of the …
198
(
2025
),
pp. 1-17
Persistent link: https://www.econbiz.de/10015484692
Saved in:
3
Machine learning framework for evaluating energy performance certificate (EPC) effectiveness in real estate : a case study of Turin's private residential market
Dell'Anna, Federico
- In:
Energy policy : the international journal of the …
198
(
2025
),
pp. 1-17
Persistent link: https://www.econbiz.de/10015506360
Saved in:
4
Understanding reverse mortgage acceptance in Spain with explainable machine learning and importance-performance map analysis
Andrés Sánchez, Jorge de
;
González-Vila Puchades, Laura
- In:
Risks : open access journal
13
(
2025
)
11
,
pp. 1-28
interactions that lead to acceptance; random forest to improve predictive capability; and
Shapley
Additive
Explanations
(SHAP) to …
Persistent link: https://www.econbiz.de/10015556334
Saved in:
5
Decoding wind power uncertainty : a Bayesian-optimized machine learning approach for multi-timescale dynamic transitions
Hou, Yali
;
Wang, Qunwei
;
Bao, Yiqin
;
Tan, Tao
- In:
Energy strategy reviews
62
(
2025
),
pp. 1-14
-linear interactions and handle anomalies, Bayesian optimization for hyperparameter tuning, and
Shapley
Additive
Explanations
(SHAP) to …
Persistent link: https://www.econbiz.de/10015595900
Saved in:
6
An enhanced grey wolf optimization method for feature selection and explainable prediction in chronic disease analytics
Dhibar, Sibasish
;
Gupta, Deepak
;
Gopalakrishnan E.A
; …
-
2025
known as
Shapley
Additive
Explanations
. …
Persistent link: https://www.econbiz.de/10015586713
Saved in:
7
A performance and interpretability assessment of machine learning models for rainfall prediction in the Republic of Ireland
Azeem, Menatallah Abdel
;
Dev, Soumyabrata
-
2024
and soil moisture deficits demonstrating significant influence on prediction outcomes.
SHapley
Additive
exPlanations
(SHAP …
Persistent link: https://www.econbiz.de/10015419134
Saved in:
8
Innovative behaviour forecasting : assessment of the impact of organisational intelligence factors
Soltani, Azadeh
;
Nikkhah-Farkhani, Zahra
- In:
International journal of productivity and quality …
47
(
2026
)
1
,
pp. 38-53
Persistent link: https://www.econbiz.de/10015632065
Saved in:
9
An explainable fuzzy collaborative intelligence approach for prioritizing possible measures to tackle challenges in semiconductor manufacturing supply chain localization
Chen, Toly
;
Wang, Yu-Cheng
;
Wu, Hsin-Chieh
- In:
Operational research : an international journal
26
(
2026
)
1
,
pp. 1-32
Persistent link: https://www.econbiz.de/10015593392
Saved in:
10
A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
Khanna, Varada Vivek
;
Chadaga, Krishnaraj
;
Sampathila, …
-
2023
deployed Explainable Artificial Intelligence tools such as
Shapley
Additive
Explanations
and Local Interpretable Model …
Persistent link: https://www.econbiz.de/10014497362
Saved in:
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