| uPredict: A User-Level Profiler-Based Predictive Framework for Single VM Applications in Multi-Tenant Clouds H Moradi, W Wang, A Fernandez, D Zhu IEEE Int'l Conf. on Cloud Engineering (IC2E), 10, 2020 | 18* | 2020 |
| Adaptive Performance Modeling and Prediction of Applications in Multi-Tenant Clouds H Moradi, W Wang, D Zhu IEEE int'l Conf. on High Performance Computing and Communications (HPCC), 8, 2019 | 14 | 2019 |
| Online Performance Modeling and Prediction for Single-VM Applications in Multi-Tenant Clouds H Moradi, W Wang, D Zhu IEEE Transactions on Cloud Computing (TCC), 14, 2021 | 11 | 2021 |
| Flexible VM Provisioning for Time-Sensitive Applications with Multiple Execution Options R Begam*, H Moradi*, W Wang, D Zhu IEEE Int'l Conf. on Cloud Computing (CLOUD), 8, 2018 | 10 | 2018 |
| A framework for classifying and comparing source code recommendation systems M Ghafari, H Moradi IEEE Int'l Conf. on Software Analysis, Evolution and Reengineering (SANER …, 2017 | 7 | 2017 |
| DiHi: Distributed and Hierarchical Performance Modeling of Multi-VM Cloud Running Applications H Moradi, W Wang, D Zhu IEEE int'l Conf. on High Performance Computing and Communications (HPCC), 8, 2020 | 4 | 2020 |
| Investigations of Micro-Benchmarks for Performance Profiling in Multi-Tenant Clouds H Moradi, W Wang, D Zhu Springer International Conference on Grid, Cloud, and Cluster Computing (GCC), 2021 | 3 | 2021 |
| Predicting Incident Cardiovascular Disease among African-American Adults: A Deep Learning Approach To Evaluate Social Determinants of Health in the Jackson Heart Study M Morris, H Moradi, M Aslani, M Sims, D Schlundt, C Kouros, B Goodin, ... PLOS ONE, 2023 | 2 | 2023 |
| Enforcing Explainable Deep Few-Shot Learning to Analyze Plain Knee Radiographs: Data from the Osteoarthritis Initiative N Littlefield, H Moradi, S Amirian, H Kremers, J Plate, A Tafti IEEE ICHI 2023, 2023 | 2 | 2023 |
| Transfer Learning for Classification of Retinal Disease using Fundus Imaging J Ogden, H Moradi IEEE ICHI 2023, 2023 | 2 | 2023 |
| Knowledge-Infused Dynamic Embedding for Predicting the Severity of Suicidal Ideation in Social Media DM Lee, H Moradi IEEE CSCI 2022, 2022 | 2 | 2022 |
| Haves and have-nots: Socioeconomic position improves accuracy of machine learning algorithms for predicting high-impact chronic pain M Morris, H Moradi, M Aslani IASP Word Congress on Pain, 2024 | 1 | 2024 |
| Fair AI-powered orthopedic image segmentation: addressing bias and promoting equitable healthcare IA Siddiqui, N Littlefield, LA Carlson, M Gong, A Chhabra, Z Menezes, ... Scientific Reports 14 (1), 16105, 2024 | 1 | 2024 |
| Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs N Littlefield, J Plate, K Weiss, I Lohse, A Chhabra, I Siddiqui, Z Menezes, ... IEEE BHI 2023, 2023 | 1 | 2023 |
| AI Fairness in Hip Bony Anatomy Segmentation: Analyzing and Mitigating Gender and Racial Bias in Plain Radiography Analysis N Littlefield, J Plate, K Weiss, I Lohse, A Chhabra, I Siddiqui, Z Menezes, ... IEEE EBAIC 2023, 2023 | 1 | 2023 |
| An ordinal severity scale for COVID-19 retrospective studies using Electronic Health Record data M Khodaverdi, BS Price, JZ Porterfield, HT Bunnell, MT Vest, AJ Anzalone, ... Journal of the American Medical Informatics Association (JAMIA open) 5 (3 …, 2022 | 1 | 2022 |
| An Ordinal Scale Assessing SARS-CoV-2 Infected Patient Outcomes Using Electronic Health Records M Khodaverdi, BS Price, SL Santangelo, A Anzalone, W Kimble, ... Open Forum Infectious Diseases 8 (Supplement_1), S324-S325, 2021 | 1 | 2021 |
| Enhancing Segmentation Fairness Through Curriculum Learning and Progressive Loss: Segmentation of Hip and Knee Radiographs E Alam, N Littlefield, JR Martin, H Moradi AAAI Workshop on Health Intelligence, 2025 | | 2025 |
| Towards Attention Mechanism in Detecting Botnet Attacks for IoT Devices A Chowdhury, H Moradi, S Madhurri, K Roy IEEE Int'l Conf. on Artificial Intelligence, Big Data, Computing, and Data …, 2024 | | 2024 |
| Artificial Intelligence and Machine Learning H Moradi Book: Statistical Approaches for Epidemiology: From Concept to Application …, 2023 | | 2023 |
Dakai ZhuProfessor of Computer Science, The University of Texas at San AntonioVerifisert e-postadresse på utsa.edu