BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. - Arash Fayyazi; Mahdi Nazemi; Armin Abdollahi; Massoud Pedram (CoRR, 2023)

Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes. - Negin Ashrafi; Armin Abdollahi; Greg Placencia; Maryam Pishgar (CoRR, 2024)

Enhanced Mortality Prediction in ICU Stroke Patients via Deep Learning. - Armin Abdollahi; Xinghong Ma; Jiahao Zhang; Daijia Wu; Tongshou Wu; Zizheng Ye; Maryam Pishgar (CoRR, 2024)

Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques. - Negin Ashrafi; Armin Abdollahi; Maryam Pishgar (CoRR, 2024)

Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database. - Negin Ashrafi; Armin Abdollahi; Jiahong Zhang; Maryam Pishgar (CoRR, 2024)

MENAGE: Mixed-Signal Event-Driven Neuromorphic Accelerator for Edge Applications. - Armin Abdollahi; Mehdi Kamal; Massoud Pedram (CoRR, 2024)

ICD2S: A Hybrid Ising-Classical-Machines Data-Driven QUBO Solver Method. - Armin Abdollahi; Mehdi Kamal; Massoud Pedram (ASP-DAC, 2025)

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases. - Shuheng Chen; Junyi Fan; Armin Abdollahi; Negin Ashrafi; Kamiar Alaei; Greg Placencia; Maryam Pishgar (CoRR, 2025)

Enhancing Multi-Modal Video Sentiment Classification Through Semi-Supervised Clustering. - Mehrshad Saadatinia; Minoo Ahmadi; Armin Abdollahi (CoRR, 2025)

IC-D2S: A Hybrid Ising-Classical-Machines Data-Driven QUBO Solver Method. - Armin Abdollahi; Mehdi Kamal; Massoud Pedram (CoRR, 2025)

RocketPPA: Ultra-Fast LLM-Based PPA Estimator at Code-Level Abstraction. - Armin Abdollahi; Mehdi Kamal; Massoud Pedram (CoRR, 2025)

Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients. - Yong Si; Armin Abdollahi; Negin Ashrafi; Greg Placencia; Elham Pishgar; Kamiar Alaei; Maryam Pishgar (BMC Medical Informatics Decis. Mak., 2025)