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Ameen Abdel Hai
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Journal Articles
- 2021
- [j3]Ameen Abdel Hai
, Tatjana Dokic, Martin Pavlovski
, Taif Mohamed, Daniel Saranovic, Mohammad Alqudah
, Mladen Kezunovic
, Zoran Obradovic
:
Transfer Learning for Event Detection From PMU Measurements With Scarce Labels. IEEE Access 9: 127420-127432 (2021) - [j2]Martin Pavlovski
, Mohammad Alqudah
, Tatjana Dokic
, Ameen Abdel Hai
, Mladen Kezunovic
, Zoran Obradovic
:
Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - 2020
- [j1]Branimir Ljubic
, Ameen Abdel Hai
, Marija Stanojevic, Wilson Diaz, Daniel Polimac, Martin Pavlovski, Zoran Obradovic:
Predicting complications of diabetes mellitus using advanced machine learning algorithms. J. Am. Medical Informatics Assoc. 27(9): 1343-1351 (2020)
Conference and Workshop Papers
- 2024
- [c6]Abdulrahman Alharbi
, Ameen Abdel Hai
, Rafaa Aljurbua
, Zoran Obradovic
:
AI-Driven Sentiment Trend Analysis: Enhancing Topic Modeling Interpretation with ChatGPT. AIAI (2) 2024: 3-17 - [c5]Shelly Gupta
, Jumanah Alshehri
, Ameen Abdel Hai
, Hussain Otudi
, Zoran Obradovic
:
From Tweets to Reddit: Leveraging Semi-supervised Domain Adaptation for Improving Data Filtering. AIAI (4) 2024: 290-304 - 2023
- [c4]Ameen Abdel Hai, Mark G. Weiner, Alice Livshits, Jeremiah R. Brown, Anuradha Paranjape, Zoran Obradovic, Daniel J. Rubin:
Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission. AIME 2023: 130-139 - 2022
- [c3]Ameen Abdel Hai, Mark G. Weiner, Anuradha Paranjape, Alice Livshits, Jeremiah R. Brown, Zoran Obradovic, Daniel J. Rubin:
Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes. AMIA 2022 - [c2]Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic:
Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System. ICMLA 2022: 1567-1572 - 2018
- [c1]Ameen Abdel Hai
, Babak Forouraghi:
On Scalability of Distributed Machine Learning with Big Data on Apache Spark. BigData Congress 2018: 209-219
Coauthor Index
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