| 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 | 15 | 2024 |
| Early prediction of power outage duration through hierarchical spatiotemporal multiplex networks R Aljurbua, J Alshehri, S Gupta, A Alharbi, Z Obradovic International Conference on Complex Networks and Their Applications, 320-334, 2024 | 9 | 2024 |
| Social Media Sensors for Weather-Caused Outage Prediction Based on Spatio–Temporal Multiplex Network Representation R Aljurbua, J Alshehri, A Alharbi, W Power, Z Obradovic IEEE Access 11, 125883-125896, 2023 | 8 | 2023 |
| The company we keep. Using hemodialysis social network data to classify patients’ kidney transplant attitudes with machine learning algorithms R Aljurbua, A Gillespie, Z Obradovic BMC nephrology 23 (1), 414, 2022 | 7 | 2022 |
| TriLex: A fusion approach for unsupervised sentiment analysis of short texts A Alharbi, R Aljurbua, S Gupta, Z Obradovic PloS one 20 (4), e0317100, 2025 | 5 | 2025 |
| Leveraging multi-modal data for early prediction of severity in forced transmission outages with hierarchical spatiotemporal multiplex networks R Aljurbua, J Alshehri, S Gupta, A Alharbi, Z Obradovic PloS one 20 (6), e0326752, 2025 | 3 | 2025 |
| Spatiotemporal Multiplex Network Model for Predicting Forced Outage Severity in Distribution Grids R Aljurbua, R Baembitov, C Petridis, D Saranovic, M Kezunovic, ... International Conference on Engineering Applications of Neural Networks, 165-178, 2025 | 3 | 2025 |
| Node2vecfuseclassifier: bridging perspectives in modeling transplantation attitudes among dialysis patients R Aljurbua, A Gillespie, J Alshehri, A Alharbi, N Albarakati, Z Obradovic 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI …, 2024 | 3 | 2024 |
| Cross-platform spatiotemporal sentiment trends analysis of COVID-19 vaccine discourse A Alharbi, R Aljurbua, S Gupta, H Otudi, J Andjelkovic, Z Obradovic Social Network Analysis and Mining 15 (1), 104, 2025 | | 2025 |
| Harnessing Machine Learning for Rain Induced Landslide Detection and Analysis S Gupta, H Otudi, AA Hai, R Aljurbua, J Andjelkovic, A Alharbi, ... International Conference on Engineering Applications of Neural Networks, 94-108, 2025 | | 2025 |
| ClusterLDA: Clustering-Based Topic Extraction for Online News JK Sutan, J Alshehri, R Aljurbua, Z Obradovic 2025 Eighth International Women in Data Science Conference at Prince Sultan …, 2025 | | 2025 |
| Graph-Based Approach: Bridging Insights From Structured and Unstructured Data RSA Aljurbua Temple University, 2025 | | 2025 |
| Utilizing Multiple Data Sources to Improve Prediction of Severe Weather Events Through Spatio-Temporal Analysis H Otudi, S Gupta, AA Hai, R Aljurbua, A Alharbi, Z Obradovic International Conference on Engineering Applications of Neural Networks, 267-280, 2025 | | 2025 |
| Network Science and Hemodialysis Patients' Kidney Transplant Attitudes: PO2138 A Gillespie, R Aljurbua, Z Obradovic Journal of the American Society of Nephrology 32 (10S), 654, 2021 | | 2021 |
| Discovering Linkages Among Multiple Disease Networks by Joint Clustering N Albarakati, H Otudi, R Aljurbua, Z Obradovic | | |
Zoran ObradovicData Analytics and Biomedical Informatics Center, Temple UniversityVerified email at temple.edu
