MLAI: An Integrated Automated Software Platform to Solve Machine Learning Problems
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-8685-9_7
Reference24 articles.
1. H. Das, B. Naik, H.S. Behera, An experimental analysis of machine learning classification algorithms on biomedical data, in Proceedings of the 2nd International Conference on Communication, Devices and Computing Springer (Singapore, 2020), pp. 525–539
2. A.K. Sahoo, C. Pradhan, H. Das, Performance evaluation of different machine learning methods and deep-learning based convolutional neural network for health decision making, in Nature Inspired Computing for Data Science (Springer, Cham, 2020), pp. 201–212
3. A.K. Tanwani, J. Afridi, M.Z. Shafifiq, M. Farooq, Guidelines to select machine learning scheme for classification of biomedical datasets, in European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (Springer, Berlin, Heidelberg, 2009), pp. 128–139
4. C. Pradhan, H. Das, B. Naik, N. Dey, Handbook of Research on Information Security in Biomedical Signal Processing (IGI Global, Hershey, PA, 2018), pp. 1–414. https://doi.org/10.4018/978-1-5225-5152-2
5. Y. Freund, R. Schapire, N. Abe, A short introduction to boosting. J. Jap. Soc. Artif. Intell. 14(771–780), 1612 (1999)
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