banzhaf value artificial intelligence - SERP Analysis

https://proceedings.mlr.press/v206/wang23e/wang23e.pdf

https://proceedings.mlr.press/v206/wang23e.html

https://arxiv.org/abs/2410.08336

https://pydvl.org/stable/value/data-banzhaf/

https://github.com/Jiachen-T-Wang/data-banzhaf

https://arxiv.org/abs/2503.08381

https://pydvl.org/0.10.0/api/pydvl/valuation/methods/banzhaf/

https://openreview.net/forum?id=7JlL8ECPJ7

https://www.mim.ai/improved-feature-importance-computations-for-tree-models-shapley-vs-banzhaf/

https://transferlab.ai/pills/2022/data-banzhaf/

https://papers.nips.cc/paper_files/paper/2023/file/bdb0596d13cfccf2db6f0cc5280d2a3f-Paper-Conference.pdf

https://dl.acm.org/doi/10.1145/3654926

https://www.ijcai.org/Proceedings/15/Papers/083.pdf

https://powerdrill.ai/discover/summary-influencenet-ai-models-for-banzhaf-and-shapley-cm86enrccqy9407rsfwuwdsg3

https://www.aimspress.com/article/doi/10.3934/math.20231552?viewType=HTML

https://www.sciencedirect.com/science/article/pii/S1877050922011590

https://www.mimuw.edu.pl/media/uploads/seminars/can-algorithmics-be-useful-in-machine-learning-application-of-banzhaf-v_mfc5dhg.pdf

https://www.researchgate.net/publication/389748285_InfluenceNet_AI_Models_for_Banzhaf_and_Shapley_Value_Prediction

https://www.mdpi.com/2073-8994/16/12/1593

https://dl.acm.org/doi/10.5555/3666122.3668759

https://openreview.net/pdf?id=S0g_C8Ujqe5

https://www.sciencedirect.com/science/article/pii/0377221795002928

https://link.springer.com/article/10.1007/BF01254541

https://www.researchgate.net/publication/384887331_Kernel_Banzhaf_A_Fast_and_Robust_Estimator_for_Banzhaf_Values

https://www.youtube.com/watch?v=QRPg_CDBwWI

https://aclanthology.org/2021.naacl-main.223.pdf

https://link.springer.com/article/10.1007/s10472-022-09817-y

https://shs.hal.science/halshs-02381119v1/document

https://github.com/daviddao/awesome-data-valuation

https://math.stackexchange.com/questions/4393868/power-indices-shapley-and-banzhaf

https://www.themoonlight.io/en/review/influencenet-ai-models-for-banzhaf-and-shapley-value-prediction

https://www.aimsciences.org/article/doi/10.3934/fods.2024021

https://ojs.aaai.org/index.php/AAAI/article/view/29225/30311

https://ceur-ws.org/Vol-3931/short2.pdf

https://journal.hep.com.cn/jossase/EN/10.1007/s11518-019-5411-2

https://www.ijcai.org/proceedings/2022/0778.pdf

https://eprints.soton.ac.uk/343615/1/p.pdf

https://s-space.snu.ac.kr/bitstream/10371/175197/1/000000164137.pdf

https://fastercapital.com/content/Banzhaf-Index--Power-Play--The-Banzhaf-Index-and-Shapley-Value-in-Decision-Making.html

https://www.research.ed.ac.uk/files/278297717/2202.05594v2.pdf

https://www.ifaamas.org/Proceedings/aamas2024/pdfs/p2432.pdf

https://proceedings.neurips.cc/paper_files/paper/2024/file/eb3a9313405e2d4175a5a3cfcd49999b-Supplemental-Datasets_and_Benchmarks_Track.pdf

https://www.cs.huji.ac.il/~jeff/papers/aamasa08bachrach.pdf

https://www.worldscientific.com/doi/10.1142/S0218488518500411?srsltid=AfmBOooKrvrLerIQSitfdoJDMM76HztsMO0TijG2FN5_USEdUNPKpwb3

https://digitalcommons.odu.edu/emse_etds/234/

https://ui.adsabs.harvard.edu/abs/arXiv:2305.08103

https://ideas.repec.org/a/spr/sochwe/v44y2015i4p781-805.html

https://core.ac.uk/download/pdf/337598041.pdf

https://www.grafiati.com/en/literature-selections/banzhaf-index/

https://eprints.gla.ac.uk/326437/2/326437.pdf

https://www.mi-research.net/article/doi/10.1007/s11633-012-0685-6

https://publications.hse.ru/en/view/412764278

https://ojs.aaai.org/index.php/AAAI/article/view/5749

https://en.wikipedia.org/wiki/Shapley_value

https://paperswithcode.com/task/data-valuation

https://openaccess.thecvf.com/content/WACV2025/papers/Djenouri_Shapley_Consensus_Deep_Learning_for_Ensemble_Pruning_WACV_2025_paper.pdf

https://epub.ub.uni-muenchen.de/123248/1/1970_shapiq_Shapley_Interactio.pdf

https://www.mdpi.com/2673-9909/3/4/49

https://scialert.net/abstract/?doi=itj.2012.262.268

https://onlinelibrary.wiley.com/doi/10.1111/risa.14156

https://www.bbvaaifactory.com/shapley-and-owen-values-for-model-output-explainability-a-hands-on-case-study/

https://www.jstor.org/stable/3689345

https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=4a3c25884549e9eca64cf59eab5131f51ae4576b

https://opus4.kobv.de/opus4-hs-kempten/frontdoor/deliver/index/docId/2037/file/ID2037_Assessing_Antithetic_Sampling.pdf

https://journals.sagepub.com/doi/abs/10.3233/IA-190031

https://www.semanticscholar.org/paper/b63f0ffe3d43a1b5559a34e2725565ed185b9b3c

https://www.linkedin.com/pulse/ai-ready-data-unlocking-true-potential-artificial-atul-yadav-ejyrc

https://www.andrew.cmu.edu/user/danupam/datta-sen-zick-oakland16.pdf

https://psycnet.apa.org/record/2025-14849-001

http://111.229.182.18:9999/topics/banzhaf-index

https://towardsdatascience.com/data-valuation-a-concise-overview-72e8cf12c755/

https://pubsonline.informs.org/doi/10.1287/moor.4.2.99

https://www.jmlr.org/papers/volume24/22-0202/22-0202.pdf

https://neurips.cc/virtual/2024/poster/97533

https://www.academia.edu/29514935/Multilinear_extensions_and_the_banzhaf_value

https://ui.adsabs.harvard.edu/abs/arXiv:2108.04126

https://x.com/ProfBanzhaf/status/1892346029862744328

https://journal.hep.com.cn/jossase/CN/10.1007/s11518-019-5411-2

https://www.scirp.org/reference/referencespapers?referenceid=2641485

https://sist.shanghaitech.edu.cn/sist_en/2022/0607/c7561a607579/page.htm

https://shs.hal.science/halshs-02381119v1

https://slideslive.com/39008869/robust-data-valuation-with-weighted-banzhaf-values

https://www.ifaamas.org/Proceedings/aamas2024/pdfs/p2318.pdf

https://c3.ai/glossary/data-science/shapley-values/

https://www.tandfonline.com/doi/abs/10.1080/03081079.2021.1872562

https://www.cs.huji.ac.il/~jeff/papers/aamas07bachrach.pdf

https://ouci.dntb.gov.ua/en/works/45ZqWD3l/

https://air.unimi.it/handle/2434/709580

https://bytez.com/docs/neurips/70172/paper?_c=eyJ2IjoxLCJyZWxhdGVkIjpbImNvZGUiLCJyZWZlcmVuY2VzIiwiY29uZmVyZW5jZSJdfQ%3D%3D

https://spiral.imperial.ac.uk/entities/publication/56429617-8207-472c-9c0c-be3014d023af

http://bellman.ciencias.uniovi.es/~emiranda/shapleycore.pdf

https://cs.brown.edu/media/filer_public/df/1c/df1cb79f-eb0e-490a-8a35-734710a20227/randolphjohn.pdf

https://www.cambridge.org/core/books/integrative-bioinformatics-for-biomedical-big-data/artificial-intelligence-approaches-to-noboundary-thinking/C3A7DF08AB6559B19683D72B8AB53AF5

https://ideas.repec.org/p/tin/wpaper/20090108.html

https://mpra.ub.uni-muenchen.de/101464/

https://pubsonline.informs.org/doi/10.1287/moor.6.1.122

https://www.britannica.com/science/Banzhaf-value

https://blog.avast.com/machine-learning-explainability-avast

https://onlinelibrary.wiley.com/doi/abs/10.1111/risa.14156