Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications-Reference-Cited by-同舟云学术

Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications

Published:2023-03-27 Issue: Volume: Page:
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Container-title:Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
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Author:

Forouzanfar Darya¹^ORCID,Manouchehri Narges¹^ORCID,Bouguila Nizar¹^ORCID

Affiliation:

1. Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Quebec, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555776.3577650

Reference38 articles.

1. Arunava. 2018. Malaria Cell Images Dataset. https://https://www.kaggle.com/datasets/iarunava/cell-images-for-detecting-malaria Arunava. 2018. Malaria Cell Images Dataset. https://https://www.kaggle.com/datasets/iarunava/cell-images-for-detecting-malaria

2. Information matrix for beta distributions;Aryal Gokarna;Serdica Mathematical Journal,2004

3. Abid Ali Awan. 2020. Heart Disease patients. https://www.kaggle.com/datasets/kingabzpro/heart-disease-patients Abid Ali Awan. 2020. Heart Disease patients. https://www.kaggle.com/datasets/kingabzpro/heart-disease-patients

4. Rohan Baxter and Jonathan Oliver . 2000 . Finding overlapping components with mml . Proc. Third ASTED Conf. Artificial Intelligence and Applications 10 , 1 (2000), 5--16. Rohan Baxter and Jonathan Oliver. 2000. Finding overlapping components with mml. Proc. Third ASTED Conf. Artificial Intelligence and Applications 10, 1 (2000), 5--16.

5. Positive vectors clustering using inverted dirichlet finite mixture models;Bdiri Taoufik;Expert Systems with Applications,2012

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