5 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data
Mahfuzur Rahman Chowdhury, Muhammad Ibrahim
With the growth of machine learning techniques, privacy of data of users has become a major concern. Most of the machine learning algorithms rely heavily on large amount of data wh…
An Exploratory Study on Simulated Annealing for Feature Selection in Learning-to-Rank
Mohd. Sayemul Haque, Md. Fahim, Muhammad Ibrahim
Learning-to-rank is an applied domain of supervised machine learning. As feature selection has been found to be effective for improving the accuracy of learning models in general,…
Feature Engineering in Learning-to-Rank for Community Question Answering Task
Nafis Sajid, Md Rashidul Hasan, Muhammad Ibrahim
Community question answering (CQA) forums are Internet-based platforms where users ask questions about a topic and other expert users try to provide solutions. Many CQA forums such…
Speeding Up EfficientNet: Selecting Update Blocks of Convolutional Neural Networks using Genetic Algorithm in Transfer Learning
Md. Mehedi Hasana, Muhammad Ibrahim, Md. Sawkat Ali
The performance of convolutional neural networks (CNN) depends heavily on their architectures. Transfer learning performance of a CNN relies quite strongly on selection of its trai…