Ameen Abdel Hai

According to our database, Ameen Abdel Hai authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

From Tweets to Reddit: Leveraging Semi-supervised Domain Adaptation for Improving Data Filtering.

Shelly Gupta, Jumanah Alshehri, Ameen Abdel Hai, Hussain Otudi, Zoran Obradovic

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

AI-Driven Sentiment Trend Analysis: Enhancing Topic Modeling Interpretation with ChatGPT.

Abdulrahman Alharbi, Ameen Abdel Hai, Rafaa Aljurbua, Zoran Obradovic

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

Exploring Topic-Related User Experiences Through Social Graph.

Shelly Gupta, Ameen Abdel Hai, Abdulrahman Alharbi, Hussain Otudi, Zoran Obradovic

Proceedings of the 32nd European Conference on Information Systems, 2024

2023

Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission.

Ameen Abdel Hai, Mark G. Weiner, Alice Livshits, Jeremiah R. Brown, Anuradha Paranjape, Zoran Obradovic, Daniel J. Rubin

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System.

Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes.

Ameen Abdel Hai, Mark G. Weiner, Anuradha Paranjape, Alice Livshits, Jeremiah R. Brown, Zoran Obradovic, Daniel J. Rubin

Proceedings of the AMIA 2022, 2022

2021

Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements.

Martin Pavlovski, Mohammad Alqudah, Tatjana Dokic, Ameen Abdel Hai, Mladen Kezunovic, Zoran Obradovic

IEEE Trans. Instrum. Meas., 2021

Transfer Learning for Event Detection From PMU Measurements With Scarce Labels.

Ameen Abdel Hai, Tatjana Dokic, Martin Pavlovski, Taif Mohamed, Daniel Saranovic, Mohammad Alqudah, Mladen Kezunovic, Zoran Obradovic

IEEE Access, 2021

2020

Predicting complications of diabetes mellitus using advanced machine learning algorithms.

Branimir Ljubic, Ameen Abdel Hai, Marija Stanojevic, Wilson Diaz, Daniel Polimac, Martin Pavlovski, Zoran Obradovic

J. Am. Medical Informatics Assoc., 2020

2018

On Scalability of Distributed Machine Learning with Big Data on Apache Spark.

Ameen Abdel Hai, Babak Forouraghi

Proceedings of the Big Data - BigData 2018, 2018