Muhammad Ibrahim
Orcid: 0000-0003-3284-8535Affiliations:
- University of Dhaka, Department of Computer Science and Engineering, Dhaka, Bangladesh
According to our database1,
Muhammad Ibrahim
authored at least 11 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
A data-driven approach for predicting crime occurrence using machine learning models.
Int. J. Data Sci. Anal., November, 2025
2023
Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market.
Int. J. Comput. Intell. Appl., September, 2023
2022
Understanding Bias and Variance of Learning-to-Rank Algorithms: An Empirical Framework.
Appl. Artif. Intell., 2022
2020
An empirical comparison of random forest-based and other learning-to-rank algorithms.
Pattern Anal. Appl., 2020
2019
Reducing correlation of random forest-based learning-to-rank algorithms using subsample size.
Comput. Intell., 2019
2017
Scalability and Performance of Random Forest based Learning-to-Rank for Information Retrieval.
SIGIR Forum, 2017
2016
Scalability and Performance of Random Forest based Learning-to-Rank for Information Retrieval.
PhD thesis, 2016
Comparing Pointwise and Listwise Objective Functions for Random-Forest-Based Learning-to-Rank.
ACM Trans. Inf. Syst., 2016
2014
Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014
Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank.
Proceedings of the Information Retrieval Technology, 2014