Irfan Al-Hussaini

SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features

Cassie S. Mitchell, Irfan Al-Hussaini, 2022, CIKM.

CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies

Cassie S. Mitchell, D. An, Irfan Al-Hussaini, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Towards Interpretable Seizure Detection Using Wearables

Cassie S. Mitchell, Irfan Al-Hussaini, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Predictive Real-Time Beat Tracking from Music for Embedded Application

Samiul Alam, Sayeed Shafayet Chowdhury, Ahmed Imtiaz Humayun, 2018, 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).

Pathology Dynamics at BioLaySumm: the trade-off between Readability, Relevance, and Factuality in Lay Summarization

Cassie S. Mitchell, Austin Wu, Irfan Al-Hussaini, 2023, BIONLP.

SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules

Jimeng Sun, M. Westover, Cao Xiao, 2019, MLHC.

SeizFt: Interpretable Machine Learning for Seizure Detection Using Wearables

Cassie S. Mitchell, Irfan Al-Hussaini, 2023, Bioengineering.

Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models

Cassie S. Mitchell, David Kartchner, Irfan Al-Hussaini, 2023, Workshop on Biomedical Natural Language Processing.

BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis

Cassie S. Mitchell, David Kartchner, Irfan Al-Hussaini, 2023, Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.

An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia

Cassie S. Mitchell, Irfan Al-Hussaini, Nidhi Mehra, 2024, Journal of clinical medicine.

Performance and utility trade-off in interpretable sleep staging

Cassie S. Mitchell, Irfan Al-Hussaini, 2022, arXiv.org.