Ensemble machine learning model for classification of handwritten digit recognition-Reference-Cited by-同舟云学术

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Ensemble machine learning model for classification of handwritten digit recognition

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)
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Author:

Alshrief Mariam Omar¹,El-Tarhouni Wafa¹,Bozed Kenz Amhmed¹

Affiliation:

1. University of Benghazi,Faculty of Information Technology,Libya,Benghazi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837334/9837478/09837750.pdf?arnumber=9837750

Reference30 articles.

1. Multiple Features Extraction and Classifiers Combination Based Handwriting Digit Recognition

2. Handwritten Digits Recognition Using SVM, KNN, RF and Deep Learning Neural Networks;chychkarova;CMIS,2021

3. Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines

4. Handwritten Digit Classification using Machine Learning Models;garg;International Research Journal of Engineering and Technology (IRJET),2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A generalized ensemble approach based on transfer learning for Braille character recognition;Information Processing & Management;2024-01

2. Handwritten Digit Classification based on Ensemble Majority Voting Classifier;2023 IEEE 11th International Conference on Systems and Control (ICSC);2023-12-18

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