Hamidreza Moradi

19 papers A 1B 1Misc 1Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Broadband Thermoelectric Energy Harvesting for Wearable Biosensors Using Plasmonic Field-Enhancement and Machine-Learning-Guided Device Optimization.
CoRR
Hamidreza Moradi, Melika Filvantorkaman
2025 J jnl
Fusion-Based Brain Tumor Classification Using Deep Learning and Explainable AI, and Rule-Based Reasoning.
CoRR
Melika Filvantorkaman, Mohsen Piri, Maral Filvan Torkaman, Ashkan Zabihi, Hamidreza Moradi
2025 J jnl
Investigation of the Estimation Accuracy of 5 Different Numerical ODE Solvers on 3 Case Studies.
CoRR
Hamidreza Moradi, Erfan Kefayat, Hamideh Hossei
2025 Misc conf
Using Topic Modeling and LLMs to Recommend CAPEC Attack Patterns: A Comparative Study.
CSR
Uriah Vendell Moore, Xiaohong Yuan, Hamidreza Moradi
2023 — conf
AI Fairness in Hip Bony Anatomy Segmentation: Analyzing and Mitigating Gender and Racial Bias in Plain Radiography Analysis.
ICHI
Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Soheyla Amirian, Hamidreza Moradi, Ahmad P. Tafti
2023 — conf
Enforcing Explainable Deep Few-Shot Learning to Analyze Plain Knee Radiographs: Data from the Osteoarthritis Initiative.
ICHI
Nickolas Littlefield, Hamidreza Moradi, Soheyla Amirian, Hilal Maradit Kremers, Johannes F. Plate, Ahmad P. Tafti
2023 — conf
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs.
BHI
Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Sakshi Mehul Thakar, Mehrnaz Abedian, Matthew F. Gong, Luke A. Carlson, Hamidreza Moradi, Soheyla Amirian, Ahmad P. Tafti
2023 J jnl
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs.
CoRR
Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Sakshi Mehul Thakar, Mehrnaz Abedian, Matthew F. Gong, Luke A. Carlson, Hamidreza Moradi, Soheyla Amirian, Ahmad P. Tafti
2023 J jnl
Online Performance Modeling and Prediction for Single-VM Applications in Multi-Tenant Clouds.
IEEE Trans. Cloud Comput.
Hamidreza Moradi, Wei Wang, Dakai Zhu
2023 J jnl
Stochastic estimation of Green's functions with application to diffusion and advection-diffusion-reaction problems.
Appl. Math. Comput.
Russell G. Keanini, Jerry L. Dahlberg, Philip Brown, Mehdi Morovati, Hamidreza Moradi, Donald Jacobs, Peter T. Tkacik
2023 — conf
Transfer Learning for Classification of Retinal Disease using Fundus Imaging.
ICHI
Jenny Ogden, David M. Lee, Hamidreza Moradi
2022 — conf
Knowledge-Infused Dynamic Embedding for Predicting the Severity of Suicidal Ideation in Social Media.
CSCI
David M. Lee, Hamidreza Moradi
2022 J jnl
Stochastic estimation of Green's functions with application to diffusion and advection-diffusion-reaction problems.
CoRR
Russell G. Keanini, Jerry L. Dahlberg, Philip Brown, Mehdi Morovati, Hamidreza Moradi, Donald Jacobs, Peter T. Tkacik
2020 — conf
DiHi: Distributed and Hierarchical Performance Modeling of Multi-VM Cloud Running Applications.
HPCC/DSS/SmartCity
Hamidreza Moradi, Wei Wang, Dakai Zhu
2020 B conf
uPredict: A User-Level Profiler-Based Predictive Framework in Multi-Tenant Clouds.
IC2E
Hamidreza Moradi, Wei Wang, Amanda S. Fernandez, Dakai Zhu
2019 — conf
Adaptive Performance Modeling and Prediction of Applications in Multi-Tenant Clouds.
HPCC/SmartCity/DSS
Hamidreza Moradi, Wei Wang, Dakai Zhu
2019 J jnl
uPredict: A User-Level Profiler-Based Predictive Framework for Single VM Applications in Multi-Tenant Clouds.
CoRR
Hamidreza Moradi, Wei Wang, Amanda S. Fernandez, Dakai Zhu
2018 — conf
Flexible VM Provisioning for Time-Sensitive Applications with Multiple Execution Options.
IEEE CLOUD
Rehana Begam, Hamidreza Moradi, Wei Wang, Dakai Zhu
2017 A conf
A framework for classifying and comparing source code recommendation systems.
SANER
Mohammad Ghafari, Hamidreza Moradi