Fatema Tabassum Liza

According to our database, Fatema Tabassum Liza authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Adversarial attacks on large language models using regularized relaxation.

Samuel Jacob Chacko, Sajib Biswas, Chashi Mahiul Islam, Fatema Tabassum Liza, Xiuwen Liu

Inf. Sci., 2026

2025

Efficient Extractive Text Summarization for Online News Articles Using Machine Learning.

Sajib Biswas, Milon Biswas, Arunima Mandal, Fatema Tabassum Liza, Joy Sarker

CoRR, September, 2025

2023

SARS CovidAID: Automatic detection of SARS CoV-19 cases from CT scan images with pretrained transfer learning model (VGG19, RESNet50 and DenseNet169) architecture.

Afia Farjana, Fatema Tabassum Liza, Miraz Al Mamun, Madhab Chandra Das, Md Maruf Hasan

Proceedings of the International Conference on Smart Applications, 2023

A comparative study of machine learning approaches for heart stroke prediction.

Madhab Chandra Das, Fatema Tabassum Liza, Partha Pratim Pandit, Fariha Tabassum, Miraz Al Mamun, Sharmistha Bhattacharjee, Md Shakil Bin Kashem

Proceedings of the International Conference on Smart Applications, 2023

Predicting Chronic Kidney Disease Using Machine Learning Algorithms.

Afia Farjana, Fatema Tabassum Liza, Partha Pratim Pandit, Madhab Chandra Das, Mahadi Hasan, Fariha Tabassum, Md. Helal Hossen

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Machine Learning-Based Relative Performance Analysis for Breast Cancer Prediction.

Fatema Tabassum Liza, Madhab Chandra Das, Partha Pratim Pandit, Afia Farjana, ASM Mohaimenul Islam, Fariha Tabassum

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023