5 papers
SABIA: An AI-Powered Tool for Detecting Opioid-Related Behaviors on Social Media
Muhammad Ahmad, Fida Ullah, Muhammad Usman +2
Social media platforms have become valuable tools for understanding public health challenges by offering insights into patient behaviors, medication use, and mental health issues.…
Opioid Named Entity Recognition (ONER-2025) from Reddit
Muhammad Ahmad, Rita Orji, Fida Ullah +2
The opioid overdose epidemic remains a critical public health crisis, particularly in the United States, leading to significant mortality and societal costs. Social media platforms…
Leveraging Large Language Models for Multi-Class and Multi-Label Detection of Drug Use and Overdose Symptoms on Social Media
Muhammad Ahmad, Fida Ullah, Muhammad Usman +3
Drug overdose remains a critical global health issue, often driven by misuse of opioids, painkillers, and psychiatric medications. Traditional research methods face limitations, wh…
Improving statistical learning methods via features selection without replacement sampling and random projection
Sulaiman khan, Muhammad Ahmad, Fida Ullah +2
Cancer is fundamentally a genetic disease characterized by genetic and epigenetic alterations that disrupt normal gene expression, leading to uncontrolled cell growth and metastasi…
EDU-NER-2025: Named Entity Recognition in Urdu Educational Texts using XLM-RoBERTa with X (formerly Twitter)
Fida Ullah, Muhammad Ahmad, Muhammad Tayyab Zamir +4
Named Entity Recognition (NER) plays a pivotal role in various Natural Language Processing (NLP) tasks by identifying and classifying named entities (NEs) from unstructured data in…