Negin Ashrafi - RankMe

16 papers Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Novel Multi-Task Teacher-Student Architecture With Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction. IEEE J. Biomed. Health Informatics Houji Jin, Negin Ashrafi, Kamiar Alaei, Elham Pishgar, Greg Placencia, Maryam Pishgar
2026	J	`jnl`	HDLFORGE: A Two-Stage Multi-Agent Framework for Efficient Verilog Code Generation with Adaptive Model Escalation. CoRR Armin Abdollahi, Saeid Shokoufa, Negin Ashrafi, Mehdi Kamal, Massoud Pedram
2025	J	`jnl`	A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction. CoRR Houji Jin, Negin Ashrafi, Kamiar Alaei, Elham Pishgar, Greg Placencia, Maryam Pishgar
2025	J	`jnl`	Aligning Language Models with Clinical Expertise: DPO for Heart Failure Nursing Documentation in Critical Care. CoRR Junyi Fan, Li Sun, Negin Ashrafi, Kamiar Alaei, Maryam Pishgar
2025	J	`jnl`	LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA. CoRR Houji Jin, Negin Ashrafi, Armin Abdollahi, Wei Liu, Jian Wang, Ganyu Gui, Maryam Pishgar, Huanghao Feng
2025	J	`jnl`	Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases. CoRR Shuheng Chen, Junyi Fan, Armin Abdollahi, Negin Ashrafi, Kamiar Alaei, Greg Placencia, Maryam Pishgar
2025	J	`jnl`	Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients. BMC Medical Informatics Decis. Mak. Yong Si, Armin Abdollahi, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar
2025	J	`jnl`	Optimizing Urban Mobility Through Complex Network Analysis and Big Data from Smart Cards. CoRR Li Sun, Negin Ashrafi, Maryam Pishgar
2024	J	`jnl`	Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality. CoRR Arseniy Shumilov, Yueting Zhu, Negin Ashrafi, Gaojie Lian, Shilong Ren, Maryam Pishgar
2024	J	`jnl`	Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes. CoRR Negin Ashrafi, Armin Abdollahi, Greg Placencia, Maryam Pishgar
2024	J	`jnl`	Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques. CoRR Negin Ashrafi, Armin Abdollahi, Maryam Pishgar
2024	J	`jnl`	Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database. CoRR Negin Ashrafi, Armin Abdollahi, Jiahong Zhang, Maryam Pishgar
2024	J	`jnl`	Prediction of 30-day mortality for ICU patients with Sepsis-3. BMC Medical Informatics Decis. Mak. Zhijiang Yu, Negin Ashrafi, Hexin Li, Kamiar Alaei, Maryam Pishgar
2024	J	`jnl`	Prediction of sepsis mortality in ICU patients using machine learning methods. BMC Medical Informatics Decis. Mak. Jiayi Gao, Yuying Lu, Negin Ashrafi, Ian Domingo, Kamiar Alaei, Maryam Pishgar
2023	J	`jnl`	Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19. Frontiers Artif. Intell. Sheela Ramanna, Negin Ashrafi, Evan Loster, Karen Debroni, Shelley Turner
2021	—	`conf`	Application of Granular Computing-Based Pre-processing in the Labelling of Phonemes. KES-IDT Negin Ashrafi, Sheela Ramanna

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski