Personal vid Högskolan
Atiye Sadat Hashemi
Postdoktor
( Akademin för informationsteknologi )
Arbetar med
My research interests are centered on exploring the optimal utilization of machine learning for disease outbreak surveillance, advancing precision medicine, and refining treatment strategies. Additionally, I am fascinated by the implementation of adversarial machine learning techniques to ensure the development of robust and secure models.
Personlig
Senaste publikationer
Konferensbidrag
Conference paper
Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms
(2024)Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease
(2023)Time-series Anonymization of Tabular Health Data using Generative Adversarial Network
(2023)Domain Knowledge-Driven Generation of Synthetic Healthcare Data
(2023)
Artikel i tidskrift
Article in journal
Improving adversarial robustness of traffic sign image recognition networks
(2022) Published
