Afia Sajeeda, B M Mainul Hossain
Recognized as a realistic image generator, Generative Adversarial Network (GAN) occupies a progressive section in deep learning. Using generative modeling, the underlying generator model learns the real target distribution and outputs fake samples from the generated replica distribution. The discrim...
Afia Sajeeda, Shahla Shaan Ahmed, B M Mainul Hossain
Missing values within data affect the performance of machine learning models. HexaGAN is a framework that addresses the problem of missing data along with the issues of class imbalance and missing labels via a technique called imputation. Frequently, real-world datasets encounter the aforementioned ...
Md. Iqbal Hossain, Neeresh Kumar Perla, Afia Sajeeda, Siyu Xia et al.
In the rapidly advancing domain of artificial intelligence, Vision-Language Models (VLMs) have emerged as critical tools by synergizing visual and textual data processing to facilitate a multitude of applications including automated image captioning, accessibility enhancements, and intelligent respo...
Suravi Akhter, Afia Sajeeda, Ahmedul Kabir
: An anomaly of software refers to a bug or defect or anything that causes the software to deviate from its normal behavior. Anomalies should be identified properly to make more stable and error-free software systems. There are various machine learning-based approaches for anomaly detection. For pro...
Afia Sajeeda, B M Mainul Hossain, Sumon Ahmed
While data is integral to address real-world problems using machine learning techniques, the availability of complete data is challenging as data goes missing during collection or even afterward. Missing values make data unsuitable for use and demand imputation techniques to resolve the problem. Her...