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Papers matching “SHAP feature importance” 17

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Cross-Biome Feature Importance Stability Analysis for SAR-based Flood Mapping with Random Forests
2026 conference-abstract Environmental Science Flood Risk Assessment and Management Open access

Parisa Havakhor, Paul Christian Hosch, Antara Dasgupta

0

citations
Machine learning for predicting sense of place among hybrid workers: A SHAP-based analysis of key factors
2025 Wellbeing Space and Society article Social Sciences Place Attachment and Urban Studies Open access

0

citations
Prediction of Severe Gastrointestinal Bleeding Events in Hemodialysis: Collaborative Development of Machine Learning Model Within INSPIRE
2021 Journal of the American Society of Nephrology conference-abstract Medicine Chronic Kidney Disease and Diabetes

Suman Kumar Lama, Sheetal Chaudhuri, Joanna L. Willetts, John W. Larkin, Anke C. Winter, Manuela Stauss‐Grabo, +6 more

0

citations
Interpreting Black-box Machine Learning Models for High Dimensional Datasets
2023 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, +1 more

19

citations
Algorithm-Enhanced Fuel Poverty Prediction Using Household Characteristics, Socio-Economic Factors, and Clustering Analysis
2025 SSRN Electronic Journal preprint Environmental Science Energy and Environment Impacts Open access

Rahil Dejkam, Reinhard Madlener

9

citations
Machine Learning-Enhanced Measuring of Multidimensional Energy Poverty: Insights from a Pilot Survey in Portugal and Denmark
2025 Lecture notes in operations research conference-paper Environmental Science Energy and Environment Impacts

Rahil Dejkam, Reinhard Madlener

2

citations
Understanding electricity prices beyond the merit order principle using explainable AI
2022 arXiv (Cornell University) preprint Engineering Electric Power System Optimization Open access

Julius Trebbien, Leonardo Rydin Gorjão, Aaron Praktiknjo, Benjamin Schäfer, Dirk Witthaut

5

citations
A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes
2025 Frontiers in Nutrition article Nursing Microbial Metabolites in Food Biotechnology Open access

Shuheng Yang, Ralf Weiskirchen, Wenjing Zheng, Xiaobo Hu, Zhiguo Liu, Hualin Wang

5

citations
Impulsivity Classification Using EEG Power and Explainable Machine Learning
2022 International Journal of Neural Systems article Neuroscience EEG and Brain-Computer Interfaces Open access

Philippa Hüpen, Himanshu Kumar, Aliaksandra Shymanskaya, Ramakrishnan Swaminathan, Ute Habel

16

citations
Predictive value of biomarker signatures for suicide risk in hospitalised patients with major depressive disorders: a multicentre study in Shanghai
2025 General Psychiatry article Psychology Suicide and Self-Harm Studies Open access

Enzhao Zhu, Jiayi Wang, Chunbo Li, Fazhan Chen, Kang Ju, Liangliang Chen, +13 more

3

citations
Data-driven modeling of polymer electrolyte fuel cells: Towards predictive analytics with explainable artificial intelligence
2025 Energy and AI article Engineering Fuel Cells and Related Materials Open access

Ali Malek, Max Dreger, Nima Shaigan, Chaojie Song, Kourosh Malek, Jasna Janković, +1 more

19

citations
Understanding electricity prices beyond the merit order principle using explainable AI
2023 Energy and AI article Engineering Energy Load and Power Forecasting Open access

Julius Trebbien, Leonardo Rydin Gorjão, Aaron Praktiknjo, Benjamin Schäfer, Dirk Witthaut

49

citations
Biomarker signatures as predictors of future impulsivity in schizophrenia: a multi-center study
2025 Frontiers in Psychiatry article Medicine Schizophrenia research and treatment Open access

Siqi Liu, Yixiao Chen, Lei Zhang, Xu Zhang, Yaqin Yang, Manru Li, +8 more

0

citations
Revealing drivers of green technology adoption through explainable Artificial Intelligence
2025 Advances in Applied Energy article Environmental Science Energy and Environment Impacts Open access

Dorothea Kistinger, Maurizio Titz, Philipp Böttcher, Michael T. Schaub, Sandra Venghaus, Dirk Witthaut

2

citations
Data-driven modeling and optimization of anode-side structural, transport and electrochemical properties in PEM water electrolyzers
2026 Applied Energy article Energy Hybrid Renewable Energy Systems Open access

K. Ashoke Raman, Linus Hammacher, Violeta Karyofylli, Hans Kungl, André Karl, Eva Jodat, +1 more

0

citations
Daily Load Forecasting Using Explainable AI-Driven Method With Integrated Error Correlation
2025 IEEE Access article Engineering Energy Load and Power Forecasting Open access

Ei Thu Thu Tun, Kamal Chapagain, Pyae Pyae Phyo, Yung-Cheol Byun, Vannak Seng, Panharith Chhom, +1 more

2

citations
SARFlood: A Web-Based, Cloud-Native Platform for Automated and Optimized ML-based SAR Flood Mapping
2026 conference-abstract Environmental Science Flood Risk Assessment and Management Open access

Patrick Wilhelm, Paul Christian Hosch, Antara Dasgupta

0

citations

17 results