Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics. - Majdi I. Radaideh; Katarzyna Borowiec; Tomasz Kozlowski (Reliab. Eng. Syst. Saf., 2019)

Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay. - Majdi I. Radaideh; Koroush Shirvan (CoRR, 2020)

Neural-based time series forecasting of loss of coolant accidents in nuclear power plants. - Majdi I. Radaideh; Connor Pigg; Tomasz Kozlowski; Yujia Deng; Annie Qu (Expert Syst. Appl., 2020)

Surrogate modeling of advanced computer simulations using deep Gaussian processes. - Majdi I. Radaideh; Tomasz Kozlowski (Reliab. Eng. Syst. Saf., 2020)

NEORL: NeuroEvolution Optimization with Reinforcement Learning. - Majdi I. Radaideh; Katelin Du; Paul Seurin; Devin Seyler; Xubo Gu; Haijia Wang; Koroush Shirvan (CoRR, 2021)

Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications. - Majdi I. Radaideh; Koroush Shirvan (Knowl. Based Syst., 2021)

Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions. - Majdi I. Radaideh; Hoang Tran; Lianshan Lin; Hao Jiang; Drew Winder; Sarma Gorti; Guannan Zhang; Justin Mach; Sarah Cousineau (CoRR, 2022)

Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning. - Majdi I. Radaideh; Chris Pappas; Mark Wezensky; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2022)

Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. - Majdi I. Radaideh; Chris Pappas; Jared Walden; Dan Lu 001; Lasitha Vidyaratne; Thomas Britton; Kishansingh Rajput; Malachi Schram; Sarah Cousineau (Digit. Signal Process., 2022)

Multi-module based CVAE to predict HVCM faults in the SNS accelerator. - Yasir Alanazi; Malachi Schram; Kishansingh Rajput; Steven Goldenberg; Lasitha Vidyaratne; Chris Pappas; Majdi I. Radaideh; Dan Lu 001; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2023)

A Comparative Analysis of Text-to-Image Generative AI Models in Scientific Contexts: A Case Study on Nuclear Power. - Veda Joynt; Jacob Cooper; Naman Bhargava; Katie Vu; O. Hwang Kwon; Todd R. Allen; Aditi Verma; Majdi I. Radaideh (CoRR, 2023)

Animorphic ensemble optimization: a large-scale island model. - Dean Price; Majdi I. Radaideh (Neural Comput. Appl., 2023)

Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning. - Majdi I. Radaideh; Leo Tunkle; Dean Price; Kamal Abdulraheem; Linyu Lin; Moutaz Elias (CoRR, 2024)

Multi-objective Combinatorial Methodology for Nuclear Reactor Site Assessment: A Case Study for the United States. - Ömer Erdem; Kevin Daley; Gabrielle Hoelzle; Majdi I. Radaideh (CoRR, 2024)

Distance preserving machine learning for uncertainty aware accelerator capacitance predictions. - Steven Goldenberg; Malachi Schram; Kishansingh Rajput; Thomas Britton; Chris Pappas; Dan Lu 001; Jared Walden; Majdi I. Radaideh; Sarah Cousineau; Sudarshan Harave (Mach. Learn. Sci. Technol., 2024)

Fairness and social bias quantification in Large Language Models for sentiment analysis. - Mohammed I. Radaideh; O. Hwang Kwon; Majdi I. Radaideh (Knowl. Based Syst., 2025)

Nuclear Microreactor Control with Deep Reinforcement Learning. - Leo Tunkle; Kamal Abdulraheem; Linyu Lin; Majdi I. Radaideh (CoRR, 2025)

Opening the Black-Box: Symbolic Regression with Kolmogorov-Arnold Networks for Energy Applications. - Nataly R. Panczyk; Ömer Erdem; Majdi I. Radaideh (CoRR, 2025)

On the Impact of Language Nuances on Sentiment Analysis with Large Language Models: Paraphrasing, Sarcasm, and Emojis. - Naman Bhargava; Mohammed I. Radaideh; O. Hwang Kwon; Aditi Verma; Majdi I. Radaideh (CoRR, 2025)

Variational Digital Twins. - Logan A. Burnett; Umme Mahbuba Nabila; Majdi I. Radaideh (CoRR, 2025)