Hajar Homayouni

According to our database, Hajar Homayouni authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SynLLM: A Comparative Analysis of Large Language Models for Medical Tabular Synthetic Data Generation via Prompt Engineering.

Arshia Ilaty, Hossein Shirazi, Hajar Homayouni

CoRR, August, 2025

2024

Investigating Influential COVID-19 Perspectives: A Multifaceted Analysis of Twitter Discourse.

Shadaab Kawnain Bashir, Hossein Shirazi, Noushin Salek Faramarzi, Thomas Harris, Ashmita Shishodia, Hajar Homayouni, Indrakshi Ray

Proceedings of the Security and Privacy in Social Networks and Big Data, 2024

Comprehensive Functional ETL Testing Methodologies for Real-World Data.

Hajar Homayouni, Maryam Mary Pourebadi, Steven T. Nguyen, Mohammad Hashemi, Hossein Shirazi

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Anomaly Detection and Interpretation from Tabular Data Using Transformer Architecture.

Hajar Homayouni, Hamed Aghayarzadeh, Indrakshi Ray, Hossein Shirazi

Proceedings of the IEEE International Conference on Data Mining, 2024

Gender Gap Analysis in Cardiovascular Research.

Diana Rozenshteyn, Hajar Homayouni

Proceedings of the IEEE International Conference on E-health Networking, 2024

Synergy of GPT-3 Summarization and Vision-Encoder-Decoder for Chest X-ray Captioning.

Abdellah Jnaini, Hossein Shirazi, Hajar Homayouni

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023

Synthetic High-Resolution COVID-19 Chest X-Ray Generation.

Sehajpreet Kaur, Shivansh Kumar, Hajar Homayouni

Proceedings of the 2023 Australasian Computer Science Week, 2023

2022

A Methodology for Energy Usage Prediction in Long-Lasting Abnormal Events.

Gabriele Maurina, Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray, Gerald P. Duggan

Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022

2021

Anomaly Detection in COVID-19 Time-Series Data.

Hajar Homayouni, Indrakshi Ray, Sudipto Ghosh, Shlok Gondalia, Michael G. Kahn

SN Comput. Sci., 2021

Detecting Temporal Dependencies in Data.

Joaquin Cuomo, Hajar Homayouni, Indrakshi Ray, Sudipto Ghosh

Proceedings of the The British International Conference on Databases 2021, 2021

2020

An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data.

Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray, Shlok Gondalia, Jerry Duggan, Michael G. Kahn

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Chapter Five - Data Warehouse Testing.

Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray

Adv. Comput., 2019

ADQuaTe: An Automated Data Quality Test Approach for Constraint Discovery and Fault Detection.

Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray

Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

An Interactive Data Quality Test Approach for Constraint Discovery and Fault Detection.

Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray, Michael G. Kahn

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Testing Extract-Transform-Load Process in Data Warehouse Systems.

Hajar Homayouni

Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

An Approach for Testing the Extract-Transform-Load Process in Data Warehouse Systems.

Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray

Proceedings of the 22nd International Database Engineering & Applications Symposium, 2018