Md. Nasim Adnan
Orcid: 0000-0001-9210-2896Affiliations:
- Bangladesh Bank, Head Office, Dhaka, Bangladesh
According to our database1,
Md. Nasim Adnan
authored at least 24 papers
between 2003 and 2024.
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Bibliography
2024
Estimating the structural diversity introduced by decision forest algorithms : A probabilistic approach.
Knowl. Based Syst., 2024
2023
Severity Stage Identification and Pest Detection of Tomato Disease Using Deep Learning.
Int. J. Comput., 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Exploration of Stochastic Selection of Splitting Attributes as a Source of Inducing Diversity.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
A Systematic Study and Analysis of Bengali Folklore with Natural Language Processing Systems.
CoRR, 2022
Open Comput. Sci., 2022
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
2021
2020
Localization of Autonomous Robot in an Urban Area Based on SURF Feature Extraction of Images.
Int. J. Technol. Diffusion, 2020
2018
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018
2017
Forest PA: Constructing a decision forest by penalizing attributes used in previous trees.
Expert Syst. Appl., 2017
Australas. J. Inf. Syst., 2017
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
2016
Optimizing the number of trees in a decision forest to discover a subforest with high ensemble accuracy using a genetic algorithm.
Knowl. Based Syst., 2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
2015
Improving the random forest algorithm by randomly varying the size of the bootstrap samples for low dimensional data sets.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015
2014
Improving the random forest algorithm by randomly varying the size of the bootstrap samples.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014
Proceedings of the Machine Learning and Cybernetics, 2014
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014
2012
2003
Inf. Process. Lett., 2003