Elias Hossain

According to our database, Elias Hossain authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning.

Elias Hossain, Mohammad Jahid Ibna Basher, Ivan Garibay, Ozlem O. Garibay, Niloofar Yousefi

CoRR, April, 2026

Learning Stable Predictors from Weak Supervision under Distribution Shift.

Mehrdad Shoeibi, Elias Hossain, Ivan Garibay, Niloofar Yousefi

CoRR, April, 2026

UAT-LITE: Inference-Time Uncertainty-Aware Attention for Pretrained Transformers.

Elias Hossain, Shubhashis Roy Dipta, Subash Neupane, Rajib Rana, Ravid Shwartz-Ziv, Ivan Garibay, Niloofar Yousefi

CoRR, February, 2026

Computational paradigms for antimicrobial resistance prediction: integrating multi-omics, structural modeling, and foundation artificial intelligence systems.

Elias Hossain, Niloofar Yousefi

Briefings Bioinform., 2026

Learning Robust Representations for Malicious Content Detection via Contrastive Sampling and Uncertainty Estimation.

Elias Hossain, Umesh Biswas, Sai Phani Parsa, Charan Gudla

Proceedings of the 2026 9th International Conference on Information and Computer Technologies, 2026

2025

MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support.

Elias Hossain, Md Mehedi Hasan Nipu, Maleeha Sheikh, Rajib Rana, Subash Neupane, Niloofar Yousefi

CoRR, November, 2025

Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models.

Elias Hossain, Swayamjit Saha, Somshubhra Roy, Ravi Prasad

CoRR, October, 2025

Interpretable RNA-Seq Clustering with an LLM-Based Agentic Evidence-Grounded Framework.

Elias Hossain, Mehrdad Shoeibi, Ivan Garibay, Niloofar Yousefi

CoRR, October, 2025

Edge-Based Learning for Improved Classification Under Adversarial Noise.

Manish Kansana, Keyan Alexander Rahimi, Elias Hossain, Iman Dehzangi, Noorbakhsh Amiri Golilarz

CoRR, April, 2025

Surformer v1: Transformer-Based Surface Classification Using Tactile and Vision Features.

Manish Kansana, Elias Hossain, Shahram Rahimi, Noorbakhsh Amiri Golilarz

Inf., 2025

2024

Medical-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data.

Elias Hossain, Tasfia Nuzhat, Shamsul Masum, Shahram Rahimi, Sudip Mittal, Noorbakhsh Amiri Golilarz

CoRR, 2024

Learning Algorithms Made Simple.

Noorbakhsh Amiri Golilarz, Elias Hossain, Abdoljalil Addeh, Keyan Alexander Rahimi

CoRR, 2024

From Questions to Insightful Answers: Building an Informed Chatbot for University Resources.

Subash Neupane, Elias Hossain, Jason Keith, Himanshu Tripathi, Farbod Ghiasi, Noorbakhsh Amiri Golilarz, Amin Amirlatifi, Sudip Mittal, Shahram Rahimi

Proceedings of the IEEE Frontiers in Education Conference, 2024

2023

Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review.

Elias Hossain, Rajib Rana, Niall Higgins, Jeffrey Soar, Prabal Datta Barua, Anthony R. Pisani, Kathryn Turner

Comput. Biol. Medicine, March, 2023

News Modeling and Retrieving Information: Data-Driven Approach.

Elias Hossain, Abdullah Alshahrani, Md. Wahidur Rahman

Intell. Autom. Soft Comput., 2023

2022

Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review.

Shah Siddiqui, Md. Murshedul Arifeen, Adrian Hopgood, Alice Good, Alexander E. Gegov, Elias Hossain, Md. Wahidur Rahman, Shazzad Hossain, Sabila Al Jannat, Rezowan Ferdous, Shamsul Masum

SN Comput. Sci., 2022

2021

A Next-Generation Telemedicine and Health Advice System.

Shah Siddiqui, Adrian Hopgood, Alice Good, Alexander E. Gegov, Elias Hossain, Md. Wahidur Rahman, Rezowan Ferdous, Md. Murshedul Arifeen, Zakir Khan

Proceedings of Sixth International Congress on Information and Communication Technology, 2021