Object recognition and real-time spoken word recognition using two-fold dynamic time warping for autonomous arm manipulator. - Irfan Al-Hussaini; Zubayer Islam; Antik Mallick; Md. Ekramul Hoque (ICSIPA, 2017)

Predictive Real-Time Beat Tracking from Music for Embedded Application. - Irfan Al-Hussaini; Ahmed Imtiaz Humayun; Samiul Alam; Shariful Islam Foysal; Abdullah Al Masud; Arafat Mahmud; Rakibul Islam Chowdhury; Nabil Ibtehaz; Sums Uz Zaman; Rakib Hyder; Sayeed Shafayet Chowdhury; Mohammad Ariful Haque (MIPR, 2018)

SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. - Irfan Al-Hussaini; Cao Xiao; M. Brandon Westover; Jimeng Sun 001 (MLHC, 2019)

CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies. - Irfan Al-Hussaini; Davi Nakajima An; Albert J. Lee; Sarah Bi; Cassie S. Mitchell (IEEE Big Data, 2022)

SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features. - Irfan Al-Hussaini; Cassie S. Mitchell (CIKM, 2022)

Performance and utility trade-off in interpretable sleep staging. - Irfan Al-Hussaini; Cassie S. Mitchell (CoRR, 2022)

Pathology Dynamics at BioLaySumm: the trade-off between Readability, Relevance, and Factuality in Lay Summarization. - Irfan Al-Hussaini; Austin Wu; Cassie S. Mitchell (BioNLP@ACL, 2023)

Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models. - David Kartchner; Selvi Ramalingam; Irfan Al-Hussaini; Olivia Kronick; Cassie S. Mitchell (BioNLP@ACL, 2023)

Towards Interpretable Seizure Detection Using Wearables. - Irfan Al-Hussaini; Cassie S. Mitchell (ICASSP, 2023)

BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis. - David Kartchner; Irfan Al-Hussaini; Haydn Turner; Jennifer Deng; Shubham Lohiya; Prasanth Bathala; Cassie S. Mitchell (SIGIR, 2023)

Towards Interpretable Machine Learning for Healthcare using Domain Knowledge. - Irfan Al-Hussaini (2024)