Cardiovascular Risk Predictors Estimation via Carotid Tonometry and Ankle Cuff Oscillation Measurement. - Albert Lee; Zahra Ghasemi; Chang-Sei Kim; Jin-Oh Hahn; Ramakrishna Mukkamala; Hao-Min Cheng; Chen-Huan Chen; Shih-Hsien Sung (CHASE, 2016)

Lower limits of spin detection efficiency for two-parameter two-qubit (TPTQ) states with non-ideal ferromagnetic detectors. - Nayereh Majd; Zahra Ghasemi (Quantum Inf. Process., 2016)

Investigation of Viscoelasticity in the Relationship Between Carotid Artery Blood Pressure and Distal Pulse Volume Waveforms. - Jongchan Lee; Zahra Ghasemi; Chang-Sei Kim; Hao-Min Cheng; Chen-Huan Chen; Shih-Hsien Sung; Ramakrishna Mukkamala; Jin-Oh Hahn (IEEE J. Biomed. Health Informatics, 2018)

Performance analysis of the matched subspace detector in the presence of signal-dependent interference for MIMO radar. - Zahra Ghasemi; Mostafa Derakhtian (Signal Process., 2020)

Mitigation of Instrument-Dependent Variability in Ballistocardiogram Morphology: Case Study on Force Plate and Customized Weighing Scale. - Yang Yao 001; Zahra Ghasemi; Md Mobashir Hasan Shandhi; Hazar Ashouri; Lisheng Xu; Ramakrishna Mukkamala; Omer T. Inan; Jin-Oh Hahn (IEEE J. Biomed. Health Informatics, 2020)

A survey on Optimisation-based Semi-supervised Clustering Methods. - Zahra Ghasemi; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (ICBK, 2021)

Photographic cranial shape analysis using deep learning. - Mohammad Ali Yektaie; Zahra Ghasemi; S. Hossein Hezaveh; Fereshteh Aalamifar; Reza Seifabadi; Marius George Linguraru (Computer-Aided Diagnosis, 2021)

Multi-objective Semi-supervised clustering for finding predictive clusters. - Zahra Ghasemi; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (Expert Syst. Appl., 2022)

A Hybrid Intelligent Framework for Maximising SAG Mill Throughput: An Integration of Expert Knowledge, Machine Learning and Evolutionary Algorithms for Parameter Optimisation. - Zahra Ghasemi; Mehdi Neshat; Chris Aldrich; John Karageorgos; Max Zanin; Frank Neumann 001; Lei Chen (CoRR, 2023)

Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. - Zahra Ghasemi; Mehdi Neshat; Chris Aldrich; John Karageorgos; Max Zanin; Frank Neumann 001; Lei Chen (CEC, 2024)

Effective Self-Attention-Based Deep Learning Model with Evolutionary Grid Search for Robust Wave Farm Energy Forecasting. - Amin Abdollahi Dehkordi; Mehdi Neshat; Nataliia Y. Sergiienko; Zahra Ghasemi; Lei Chen; John Boland 001; Hamid Moradkhani; Amir H. Gandomi (CoRR, 2025)