| Predicting complications of diabetes mellitus using advanced machine learning algorithms B Ljubic, AA Hai, M Stanojevic, W Diaz, D Polimac, M Pavlovski, ... Journal of the American Medical Informatics Association 27 (9), 1343-1351, 2020 | 68 | 2020 |
| Hierarchical convolutional neural networks for event classification on PMU measurements M Pavlovski, M Alqudah, T Dokic, AA Hai, M Kezunovic, Z Obradovic IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 41 | 2021 |
| Transfer learning for event detection from PMU measurements with scarce labels AA Hai, T Dokic, M Pavlovski, T Mohamed, D Saranovic, M Alqudah, ... IEEE Access 9, 127420-127432, 2021 | 24 | 2021 |
| Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes AA Hai, M Weiner, A Paranjape, A Livshits, J Brown, Z Obradovic, ... AMIA Annual Symposium 2022, 2022 | 9 | 2022 |
| Machine learning using a simple feature for detecting multiple types of events from pmu data T Dokic, R Baembitov, AA Hai, Z Cheng, Y Hu, M Kezunovic, Z Obradovic 2022 International Conference on Smart Grid Synchronized Measurements and …, 2022 | 6 | 2022 |
| Sequential machine learning in prediction of common cancers J Andjelkovic, B Ljubic, AA Hai, M Stanojevic, M Pavlovski, W Diaz, ... Informatics in Medicine Unlocked 30, 100928, 2022 | 6 | 2022 |
| On scalability of distributed machine learning with big data on apache spark A Abdel Hai, B Forouraghi Big Data–BigData 2018: 7th International Congress, Held as Part of the …, 2018 | 4 | 2018 |
| Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission A Abdel Hai, MG Weiner, A Livshits, JR Brown, A Paranjape, Z Obradovic, ... International Conference on Artificial Intelligence in Medicine, 130-139, 2023 | 3 | 2023 |
| Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System AA Hai, T Mohamed, M Pavlovski, M Kezunovic, Z Obradovic | 3 | 2023 |
| Big Data Synchrophasor Monitoring and Analytics for Resiliency Tracking (BDSMART) M Kezunovic, T Djokic, R Baembitov, T Mohamed, Z Obradovic, AA Hai, ... Texas A & M Univ., College Station, TX (United States), 2022 | 1 | 2022 |
| Domain generalization for enhanced predictions of hospital readmission on unseen domains among patients with diabetes AA Hai, MG Weiner, A Livshits, JR Brown, A Paranjape, W Hwang, ... Artificial Intelligence in Medicine 158, 103010, 2024 | | 2024 |
| From Tweets to Reddit: Leveraging Semi-supervised Domain Adaptation for Improving Data Filtering S Gupta, J Alshehri, AA Hai, H Otudi, Z Obradovic IFIP International Conference on Artificial Intelligence Applications and …, 2024 | | 2024 |
| AI-Driven Sentiment Trend Analysis: Enhancing Topic Modeling Interpretation with ChatGPT A Alharbi, AA Hai, R Aljurbua, Z Obradovic IFIP International Conference on Artificial Intelligence Applications and …, 2024 | | 2024 |
| Advanced Transfer Learning in Domains With Low-Quality Temporal Data and Scarce Labels AA Hai Temple University, 2024 | | 2024 |
| Exploring Topic-Related User Experiences Through Social Graph S Gupta, AA Hai, A Alharbi, H Otudi, Z Obradovic | | 2024 |
| ADVANCED TRANSFER LEARNING IN DOMAINS WITH LOW-QUALITY TEMPORAL DATA AND SCARCE LABELS A Abdel Hai Theses and Dissertations, 2023 | | 2023 |
| ODP233 Predicting Hospital Readmission for Patients with Diabetes: A Comparison of Models D Rubin, AA Hai, Z Obradovic, J Brown, A Paranjape, A Livshits, ... Journal of the Endocrine Society 6 (Suppl 1), A329, 2022 | | 2022 |
| 882-P: Deep Learning Model for Predicting Hospital Readmission among People with Diabetes AA Hai, M Weiner, A Paranjape, A Livshits, J Brown, Z Obradovic, ... Diabetes 71 (Supplement_1), 2022 | | 2022 |
| A Single-Feature Machine Learning Method for Detecting Multiple Types of Events from PMU Data T Dokic, R Baembitov, A Abdel Hai, Z Cheng, Y Hu, M Kezunovic, ... Texas A & M Univ., College Station, TX (United States). Texas A & M …, 2022 | | 2022 |
| Informatics in Medicine Unlocked J Andjelkovic, B Ljubic, AA Hai, M Stanojevic, M Pavlovski, W Diaz, ... | | |
Zoran ObradovicData Analytics and Biomedical Informatics Center, Temple UniversityVerified email at temple.edu
