Alireza Rafiei

15 papers Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Next-Generation Fetal Heart Monitoring: Leveraging Neural Sequential Modeling for Ultrasound Analysis.
IEEE Trans. Biomed. Eng.
Alireza Rafiei, Mohsen Motie Shirazi, Reza Sameni, Gari D. Clifford, Nasim Katebi
2025 J jnl
Auto-FEDUS: Autoregressive Generative Modeling of Doppler Ultrasound Signals from Fetal Electrocardiograms.
CoRR
Alireza Rafiei, Gari D. Clifford, Nasim Katebi
2025 J jnl
Early Prediction of Sepsis using Heart Rate Signals and Genetic Optimized LSTM Algorithm.
CoRR
Alireza Rafiei, Farshid Hajati, Alireza Rezaee, Amirhossien Panahi, Shahadat Uddin
2025 J jnl
Edge AI for Real-time Fetal Assessment in Rural Guatemala.
CoRR
Nasim Katebi, Mohammad Ahmad, Mohsen Motie Shirazi, Daniel Phan, Ellen Kolesnikova, Sepideh Nikookar, Alireza Rafiei, Murali K. Korikana, Rachel Hall-Clifford, Esteban Castro, Rosibely Sut, Enma Coyote, Anahi Venzor Strader, Edlyn Ramos, Peter Rohloff, Reza Sameni, Gari D. Clifford
2025 J jnl
Tackling the small imbalanced horizontal dataset regressions by Stability Selection and SMOGN: a case study of ventilation-free days prediction in the pediatric intensive care unit and the importance of PRISM.
Int. J. Medical Informatics
Milad Ghiasi Rad, Alireza Rafiei, Jocelyn Grunwell, Rishikesan Kamaleswaran
2024 J jnl
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit.
Comput. Biol. Medicine
Alireza Rafiei, Milad Ghiasi Rad, Andrea Sikora, Rishikesan Kamaleswaran
2024 J jnl
Meta-learning in Healthcare: A Survey.
SN Comput. Sci.
Alireza Rafiei, Ronald Moore, Sina Jahromi, Farshid Hajati, Rishikesan Kamaleswaran
2024 J jnl
Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients.
CoRR
Alireza Rafiei, Ronald Moore, Tilendra Choudhary, Curtis Marshall, Geoffrey Smith, John D. Roback, Ravi M. Patel, Cassandra D. Josephson, Rishikesan Kamaleswaran
2024 — conf
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing.
AIME (1)
Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
2024 J jnl
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing.
CoRR
Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
2023 J jnl
Meta-learning in healthcare: A survey.
CoRR
Alireza Rafiei, Ronald Moore, Sina Jahromi, Farshid Hajati, Rishikesan Kamaleswaran
2022 J jnl
Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning.
IEEE Access
Alireza Rafiei, Rasoul Zahedifar, Chiranjibi Sitaula, Faezeh Marzbanrad
2022 — conf
Automated Major Depressive Disorder Classification using Deep Convolutional Neural Networks and Choquet Fuzzy Integral Fusion.
SSCI
Alireza Rafiei, Yu-Kai Wang
2021 J jnl
SSP: Early prediction of sepsis using fully connected LSTM-CNN model.
Comput. Biol. Medicine
Alireza Rafiei, Alireza Rezaee, Farshid Hajati, Soheila Gheisari, S. Mojtaba Golzan
2020 J jnl
Designing a potent L1 protein-based HPV peptide vaccine: A bioinformatics approach.
Comput. Biol. Chem.
Zahra Yazdani, Alireza Rafiei, Reza Valadan, Hossein Ashrafi, MarziehSharifi Pasandi, Mostafa Kardan