Feature Selection via Coalitional Game Theory

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Shapley values for feature selection: the good, the bad, and the axioms

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The Shapley Value in Machine Learning

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The Shapley Value in Machine Learning

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Visualizing the Feature Importance for Black Box Models

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Feature selection for medical diagnosis : Evaluation for cardiovascular diseases

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An optimal pruning algorithm of classifier ensembles: dynamic programming approach

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Mathematical optimization in classification and regression trees

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Explainable Artificial Intelligence for Tabular Data: A Survey

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Intellectual synthesis in mentorship determines success in academic careers

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Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare

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Using cooperative game theory to optimize the feature selection problem

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Sampling Permutations for Shapley Value EstimationPreprint

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The many Shapley values for explainable artificial intelligence: A sensitivity analysis perspective

Borgonovo, E., Plischke, E., & Rabitti, G. (2024) · European Journal of Operational Research · doi:10.1016/j.ejor.2024.06.023 · Cited by 71

Managing a pool of rules for credit card fraud detection by a Game Theory based approach

Gianini, G., Fossi, L. G., Mio, C., Caelen, O., Brunie, L., & Damiani, E. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.08.028 · Cited by 55

Axiomatic Scalable Neurocontroller Analysis via the Shapley Value

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Strengthening learning algorithms by feature discovery

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A Distributional Framework for Data ValuationPreprint

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If You Like Shapley Then You'll Love the Core

Yan, T., & Procaccia, A. D. (2021) · AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i6.16721 · Cited by 100

Cooperation and cheating in microbial exoenzyme production – Theoretical analysis for biotechnological applications

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Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations

Scholbeck, C. A., Molnar, C., Heumann, C., Bischl, B., & Casalicchio, G. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-43823-4_18 · Cited by 36

A Feature Selection Method Based on Shapley Value to False Alarm Reduction in ICUs A Genetic-Algorithm Approach

Zaeri-Amirani, M., Afghah, F., & Mousavi, S. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8512266 · Cited by 34

Feature Selection Using Approximated High-Order Interaction Components of the Shapley Value for Boosted Tree Classifier

Chu, C. C. F., & Chan, D. P. K. (2020) · IEEE Access · doi:10.1109/access.2020.3002665 · Cited by 33

Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysis

Raimondi, D., Orlando, G., Vranken, W., & Moreau, Y. (2019) · Scientific Reports · doi:10.1038/s41598-019-53324-w · Cited by 31

Adaptive attribute selection for configurator design via Shapley value

Wang, Y., & Tseng, M. M. (2011) · Artificial intelligence for engineering design analysis and manufacturing · doi:10.1017/s0890060410000624 · Cited by 31

Iris recognition using shape-guided approach and game theory

Roy, K., Bhattacharya, P., & Suen, C. Y. (2011) · Pattern Analysis and Applications · doi:10.1007/s10044-011-0229-7 · Cited by 30

Identifying impact of variables in deep learning models on bankruptcy prediction of construction contractors

Jang, Y., Jeong, I., & Cho, Y. K. (2021) · Engineering Construction & Architectural Management · doi:10.1108/ecam-06-2020-0386 · Cited by 28

Interpretable feature subset selection: A Shapley value based approach

Tripathi, S., Hemachandra, N., & Trivedi, P. (2020) · 2020 IEEE International Conference on Big Data (Big Data) · doi:10.1109/bigdata50022.2020.9378102 · Cited by 26

Approximating the Shapley Value without Marginal Contributions

Kolpaczki, P., Bengs, V., Muschalik, M., & Hüllermeier, E. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i12.29225 · Cited by 43

Analysing Neural Network Topologies: a Game Theoretic Approach

Stier, J., Gianini, G., Granitzer, M., & Ziegler, K. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.07.257 · Cited by 31

A hybrid feature selection method for data sets of thousands of variables

Liu, J., & Wang, G. (2010) · International Conference on Advanced Computer Control · doi:10.1109/icacc.2010.5486671 · Cited by 25

Efficiently approximating query optimizer plan diagrams

Dey, A., Bhaumik, S., Harish, D., & Haritsa, J. R. (2008) · Proceedings of the VLDB Endowment · doi:10.14778/1454159.1454173 · Cited by 25

Predictive and Causal Implications of using Shapley Value for Model InterpretationPreprint

Ma, S., & Tourani, R. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.05052 · Cited by 25

Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases

Versbraegen, N., Fouché, A., Nachtegael, C., Papadimitriou, S., Gazzo, A. M., Smits, G., & Lenaerts, T. (2019) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2019.06.006 · Cited by 24

Analysis and prediction of pipeline corrosion defects based on data analytics of in-line inspection

Cui, B., & Wang, H. (2023) · Journal of Infrastructure Preservation and Resilience · doi:10.1186/s43065-023-00081-w · Cited by 23

Robust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information

Mortazavi, A., & Moattar, M. H. (2016) · Advances in Bioinformatics · doi:10.1155/2016/1058305 · Cited by 22

Multicollinearity Correction and Combined Feature Effect in Shapley Values

Basu, I., & Maji, S. (2022) · Lecture notes in computer science · doi:10.1007/978-3-030-97546-3_7 · Cited by 20

A novel algorithm for coalition formation in Multi-Agent Systems using cooperative game theory

Ghazikhani, A., Mashadi, H. R., & Monsefi, R. (2010) · Iranian Conference on Electrical Engineering · doi:10.1109/iraniancee.2010.5507017 · Cited by 20

Blood loss severity prediction using game theoretic based feature selection

Razi, A., Afghah, F., Belle, A., Ward, K., & Najarian, K. (2014) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2014.6864479 · Cited by 19

Game Theoretic Approach for Systematic Feature Selection; Application in False Alarm Detection in Intensive Care Units

Afghah, F., Razi, A., Soroushmehr, S. M. R., Ghanbari, H., & Najarian, K. (2018) · Entropy · doi:10.3390/e20030190 · Cited by 20

A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data

Tan, K., Huang, W., Liu, X., Hu, J., & Dong, S. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3052008 · Cited by 18

Explanations as a New Metric for Feature Selection: A Systematic Approach

Wang, H., Doumard, E., Soulé-Dupuy, C., Kémoun, P., Aligon, J., & Monsarrat, P. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3279340 · Cited by 17

Applications and Computation of the Shapley Value in Databases and Machine Learning

Luo, X., & Pei, J. (2024) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3626246.3654680 · Cited by 17

Feature Selection Algorithm for Improving the Performance of Classification: A Survey

Naidu, K., Dhenge, A., & Wankhade, K. K. (2014) · International Conference on Communication Systems and Network Technologies · doi:10.1109/csnt.2014.99 · Cited by 17

Public transport transfers assessment via transferable utility games and Shapley value approximation

Gnecco, G., Hadas, Y., & Sanguineti, M. (2020) · Transportmetrica A Transport Science · doi:10.1080/23249935.2020.1799112 · Cited by 17

CGT-FL: using cooperative game theory to effective fault localization in presence of coincidental correctness

Feyzi, F. (2020) · Empirical Software Engineering · doi:10.1007/s10664-020-09859-y · Cited by 17

Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios

Raufi, B., & Luca, L. (2024) · BioMedInformatics · doi:10.3390/biomedinformatics4010048 · Cited by 18

Forecasting daily extreme temperatures in Chinese representative cities using artificial intelligence models

An, H., Li, Q., Lv, X., Li, G., Qian, Q., Zhou, G., Nie, G., Zhang, L., & Zhu, L. (2023) · Weather and Climate Extremes · doi:10.1016/j.wace.2023.100621 · Cited by 17

Variance reduced Shapley value estimation for trustworthy data valuation

Wu, M., Jia, R., Lin, C., Huang, W. W., & Chang, X. (2023) · Computers & Operations Research · doi:10.1016/j.cor.2023.106305 · Cited by 22

Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data.

Catav, A., Fu, B., Zoabi, Y., Weiss‐Meilik, A., Shomron, N., Ernst, J., Sankararaman, S., & Gilad-Bachrach, R. (2021) · PubMed · Cited by 13

Feature Selection Using Cooperative Game Theory and Relief Algorithm

Gore, S., & Govindaraju, V. (2016) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-19090-7_30 · Cited by 13

Recognition of unideal iris images using region-based active contour model and game theory

Roy, K., Bhattacharya, P., Suen, C. Y., & You, J. (2010) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2010.5653680 · Cited by 13

Robust hierarchical anomaly detection using feature impact in IoT networks

Rheey, J., & Park, H. (2025) · ICT Express · doi:10.1016/j.icte.2025.02.009 · Cited by 12

Feature Selection with Neighborhood Entropy-Based Cooperative Game Theory

Zeng, K., She, K., & Niu, X. (2014) · Computational Intelligence and Neuroscience · doi:10.1155/2014/479289 · Cited by 12

A Game Theoretic Predictive Modeling Approach to Reduction of False Alarm

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A Shapley Value Solution to Game Theoretic-based Feature Reduction in False Alarm DetectionPreprint

Afghah, F., Razi, A., & Najarian, K. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1512.01680 · Cited by 12

An integrated framework for satellite-based flood mapping and socioeconomic risk analysis: A case of Thailand

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Automated Analysis of the Origin of Movement: An Approach Based on Cooperative Games on Graphs

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Benchmarking Analysis of the Accuracy of Classification Methods Related to Entropy

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Approximating the shapley value via multi-issue decompositions

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LAWRA: a layered wrapper feature selection approach for network attack detection

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FeatureX: An explainable feature selection for deep learning

Liang, S., Zhang, Y., Zheng, K., & Bai, Y. S. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.127675 · Cited by 10

Pattern recognition describing spatio-temporal drivers of catchment classification for water quality

O’Sullivan, C. M., Ghahramani, A., Deo, R. C., & Pembleton, K. G. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.160240 · Cited by 10

Determination of an optimal feature selection method based on maximum Shapley value

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Braess' paradox: A cooperative game‐theoretic point of view

Passacantando, M., Gnecco, G., Hadas, Y., & Sanguineti, M. (2021) · Networks · doi:10.1002/net.22018 · Cited by 10

Conditional Feature Selection: Evaluating Model Averaging When Selecting Features with Shapley Values

Huber, F., & Steinhage, V. (2024) · Geomatics · doi:10.3390/geomatics4030016 · Cited by 8

Game Theoretical Adversarial Deep Learning

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Hybrid Feature Selection Mechanism based High Dimensional Datesets Reduction

Bu, H., & Xia, J. (2011) · Energy Procedia · doi:10.1016/j.egypro.2011.10.937 · Cited by 7

Optimizing neural network topology using Shapley value

Leon, F. (2014) · International Conference on System Theory, Control and Computing (ICSTCC) · doi:10.1109/icstcc.2014.6982527 · Cited by 7

Who's responsible? Jointly quantifying the contribution of the learning algorithm and training dataPreprint

Yona, G., Ghorbani, A., & Zou, J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.04214 · Cited by 7

A comprehensive review of the use of Shapley value to assess node importance in the analysis of biological networks

Pham, G., & Milazzo, P. (2025) · Computer Methods and Programs in Biomedicine Update · doi:10.1016/j.cmpbup.2025.100185 · Cited by 6

Features Selection as a Nash-Bargaining Solution: Applications in Online Advertising and Information Systems

Keshanian, K., Zantedeschi, D., & Dutta, K. (2022) · INFORMS journal on computing · doi:10.1287/ijoc.2022.1190 · Cited by 6

Discovering explainable biomarkers for breast cancer anti-PD1 response via network Shapley value analysis

Sun, C., & Liu, Z.-P. (2024) · Comput. Methods Programs Biomed. · doi:10.1016/j.cmpb.2024.108481 · Cited by 10

Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data

Yona, G., Ghorbani, A., & Zou, J. (2021) · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · doi:10.1145/3461702.3462574 · Cited by 6

Facial Expression Recognition Using Game Theory

Roy, K., & Kamel, M. S. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33212-8_13 · Cited by 6

Nonideal Iris Recognition Using Level Set Approach and Coalitional Game Theory

Roy, K., & Bhattacharya, P. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04667-4_40 · Cited by 6

KEDUDUKAN HUKUM PENYEBARAN IDENTITAS TERDUGA PELAKU PELECEHAN SEKSUAL MELALUI MEDIA SOSIAL DALAM PERSPEKTIF ASAS PRADUGA TIDAK BERSALAH

Sylvira Nur Andini, S. N. A. (2025) · Universitas Pasundan institutional repositories & scientific journals (Universitas Pasundan) · Cited by 6

Hybrid Feature Selection using Shapley Value and ReliefF for Medical Datasets

Jothi, N., Syed-Mohamad, S. M., & Rajagopal, H. (2022) · International Conference on Inventive Computation Technologies (ICICT) · doi:10.1109/icict54344.2022.9850833 · Cited by 5

Feature Selection as a Hedonic Coalition Formation Game for Arabic Topic Detection

Koulali, R., & Koulali, M.-A. (2023) · Pattern Recognition Letters · doi:10.1016/j.patrec.2023.06.002 · Cited by 5

Feature Selection Scheme Based on Zero-Sum Two-Player Game

Touazi, A., Mokdad, F., & Bouchaffra, D. (2014) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2014.240 · Cited by 5

Cooperation Preference Aware Shapley Value: Modeling, Algorithms and Applications

Xie, H. L., & Lui, J. C. S. (2022) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2022.3228933 · Cited by 5

Redundancy-aware unsupervised ranking based on game theory: Ranking pathways in collections of gene sets

Balestra, C., Maj, C., Müller, E., & Mayr, A. (2023) · PLOS ONE · doi:10.1371/journal.pone.0282699 · Cited by 4

Machine learning characterization of a rare neurologic disease via electronic health records: a proof-of-principle study on stiff person syndrome

Park, S. H., Song, S. H., Burton, F., Arsan, C., Jobst, B. C., & Feldman, M. S. (2024) · BMC Neurology · doi:10.1186/s12883-024-03760-7 · Cited by 4

Multispectral Iris Recognition Using Patch Based Game Theory

Ahmad, F., Roy, K., & Popplewell, K. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-11755-3_13 · Cited by 4

Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking

Sbandi, A., Siciliano, F., & Silvestri, F. (2024) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3627673.3680069 · Cited by 4

On Braess’ Paradox and Average Quality of Service in Transportation Network Cooperative Games

Passacantando, M., Gnecco, G., Hadas, Y., & Sanguineti, M. (2021) · AIRO Springer series/AIRO Springer Series · doi:10.1007/978-3-030-86841-3_3 · Cited by 4

Enhancing manufacturing process by predicting component failures using machine learning

Saadat, R., Syed-Mohamad, S. M., Azmi, A., & Keikhosrokiani, P. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07465-1 · Cited by 5

Facial Recognition Utilizing Patch Based Game Theory

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The Shapley Value of coalition of variables provides better explanationsPreprint

Amoukou, S. I., Brunel, N., & Salaün, T. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.13342 · Cited by 4

Blockchain for Internet of Things: Data Markets, Learning, and Sustainability

Nguyen, D. L. (2022) · doi:10.54337/aau478977327 · Cited by 4

A Comprehensive Study of Shapley Value in Data Analytics

Lin, H., Wan, S., Xie, Z., Chen, K., Zhang, M., Shou, L., & Chen, G. (2025) · Proceedings of the VLDB Endowment · doi:10.14778/3746405.3746429 · Cited by 3

Fast Shapley Value Approximation Through Machine Learning With Application in Routing Problems

Gückel, J., & Fontaine, P. (2025) · Networks · doi:10.1002/net.70003 · Cited by 3

Integrating Shapley Value and Least Core Attribution for Robust Explainable AI in Rent Prediction

Wang, X., & Kee, T. (2025) · Buildings · doi:10.3390/buildings15173133 · Cited by 3

ON SOME OPEN PROBLEMS ARISING FROM THE APPLICATION OF COALITIONAL GAMES IN MEDICINE

Moretti, S. (2013) · International Game Theory Review · doi:10.1142/s0219198913400203 · Cited by 3

slidSHAPs – sliding Shapley Values for correlation-based change detection in time series

Balestra, C., Li, B., & Müller, E. (2023) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa60987.2023.10302636 · Cited by 3

Mereological approach to higher-order structure in complex systems: From macro to micro with Möbius

Jansma, A. (2025) · Physical Review Research · doi:10.1103/physrevresearch.7.023016 · Cited by 3

Using game theory to guide the classification of inhibitors of human iodide transporters

Khuri, N., & Prasanna, A. (2021) · ACM Symposium on Applied Computing · doi:10.1145/3412841.3441966 · Cited by 3

WRAPPER BASED FEATURE SELECTION FOR CT IMAGE

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CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data

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A Self-Organizing System for Online Maintenance of a Living Organism

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LETTER Communicated by James Theiler Feature Selection via Coalitional Game Theory

Cohen, S., & Dror, G. (2012)

Feature selection based on the Shapley value

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Playing the Game of Feature Selection

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Study on feature select based on coalitional game

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A Comparative Study of Game-Theoretic Approaches and Standard Algorithms for Feature Selection in Classification ProblemsPreprint

Sánchez-Soriano, J., Orenes, Y., Rabasa, A., & Rodriguez-Sala, J. J. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6949512