A Neuro-fuzzy Multi-objective Design of Shewhart Control Charts. - Mohammad Hossein Fazel Zarandi; Adel Alaeddini; I. Burhan Türksen; Mehdi Ghazanfari (Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007)

A hybrid fuzzy adaptive sampling - Run rules for Shewhart control charts. - Mohammad Hossein Fazel Zarandi; Adel Alaeddini; I. Burhan Türksen (Inf. Sci., 2008)

A clustering approach to identify the time of a step change in Shewhart control charts. - Mehdi Ghazanfari; Adel Alaeddini; Seyed Taghi Akhavan Niaki; Mir-Bahador Aryanezhad (Qual. Reliab. Eng. Int., 2008)

A hybrid fuzzy-statistical clustering approach for estimating the time of changes in fixed and variable sampling control charts. - Adel Alaeddini; Mehdi Ghazanfari; Majid Amin Nayeri (Inf. Sci., 2009)

A general fuzzy-statistical clustering approach for estimating the time of change in variable sampling control charts. - Mohammad Hossein Fazel Zarandi; Adel Alaeddini (Inf. Sci., 2010)

Using Bayesian networks for root cause analysis in statistical process control. - Adel Alaeddini; Ibrahim Dogan (Expert Syst. Appl., 2011)

An Efficient Adaptive Sequential Methodology for Expensive Response Surface Optimization. - Adel Alaeddini; Alper Ekrem Murat; Kai Yang 005; Bruce E. Ankenman (Qual. Reliab. Eng. Int., 2013)

ASRSM: A Sequential Experimental Design for Response Surface Optimization. - Adel Alaeddini; Kai Yang 005; Alper Ekrem Murat (Qual. Reliab. Eng. Int., 2013)

Multivariate adaptive approach for monitoring simple linear profiles. - Galal M. Abdella; Kai Yang 005; Adel Alaeddini (Int. J. Data Anal. Tech. Strateg., 2014)

An Adaptive Sequential Experimentation Methodology for Expensive Response Surface Optimization - Case Study in Traumatic Brain Injury Modeling. - Adel Alaeddini; Kai Yang 005; Haojie Mao; Alper Ekrem Murat; Bruce E. Ankenman (Qual. Reliab. Eng. Int., 2014)

Economic-statistical design of X ¯ Shewhart control charts with fuzzy parameters. - Mohammad Hasan Bakhtiarifar; Amirhossein Amiri; Adel Alaeddini (J. Intell. Fuzzy Syst., 2017)

An Area-based Methodology for the Monitoring of General Linear Profiles. - Abed Motasemi; Adel Alaeddini; Changliang Zou (Qual. Reliab. Eng. Int., 2017)

Sequential Laplacian regularized V-optimal design of experiments for response surface modeling of expensive tests: An application in wind tunnel testing. - Adel Alaeddini; Edward Craft; Rajitha Meka; Stanford Martinez (IISE Trans., 2019)

A sequential weighted Laplacian-regularized optimal design for response surface modeling of expensive functions with outliers: An application in linear elastic fracture mechanics. - Stanford Martinez; Adel Alaeddini; Kristina Langer (Qual. Reliab. Eng. Int., 2019)

An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression. - Rajitha Meka; Adel Alaeddini; Sakiko Oyama; Kristina Langer (IEEE Access, 2020)

Corrections to "An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression". - Rajitha Meka; Adel Alaeddini; Sakiko Oyama; Kristina Langer (IEEE Access, 2020)

Temporal Graph Traversals Using Reinforcement Learning With Proximal Policy Optimization. - Samuel Henrique Silva; Adel Alaeddini; Peyman Najafirad (IEEE Access, 2020)

A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Jing Wang; Carlos A. Jaramillo (CoRR, 2020)

One-Step Deadbeat Control of a 5-Link Biped Using Data-Driven Nonlinear Approximation of the Step-to-Step Dynamics. - Pranav A. Bhounsule; Ernesto Hernandez-Hinojosa; Adel Alaeddini (Robotics, 2020)

Dynamic Functional Continuous Time Bayesian Networks for Prediction and Monitoring of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Jing Wang; Susan P. Fisher-Hoch; Joseph B. Mccormick (IEEE Access, 2021)

A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Jing Wang; Carlos A. Jaramillo; Mary Jo Pugh (IEEE Access, 2021)

Multi-Armed Bandit Regularized Expected Improvement for Efficient Global Optimization of Expensive Computer Experiments With Low Noise. - Rajitha Meka; Adel Alaeddini; Chinonso Ovuegbe; Pranav A. Bhounsule; Peyman Najafirad; Kai Yang 005 (IEEE Access, 2021)

Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Jing Wang; Susan P. Fisher-Hoch; Joseph B. McCormic (CoRR, 2021)

Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet. - Yingyan Zeng; Parshin Shojaee; Syed Hasib Akhter Faruqui; Adel Alaeddini; Ran Jin (ICPS, 2022)

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks. - Samuel Henrique Silva; Arun Das 001; Adel Alaeddini; Peyman Najafirad (ICWSM, 2022)

A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Jing Wang; Susan P. Fisher-Hoch; Joseph B. Mccormick; Julian Carvajal Rico (CoRR, 2022)

A Laplacian-regularized dual-phase Gaussian process technique for semi-supervised response surface modeling of black-box functions. - Stanford Martinez; Adel Alaeddini (Qual. Reliab. Eng. Int., 2022)

Task-Level Control and Poincaré Map-Based Sim-to-Real Transfer for Effective Command Following of Quadrupedal Trot Gait. - Pranav A. Bhounsule; Daniel Torres; Ernesto Hernandez-Hinojosa; Adel Alaeddini (Humanoids, 2023)

Efficient ConvNet Optimization through Width Modification Guided with Gaussian Processes. - Bilal Siddiqui; Adel Alaeddini; Dakai Zhu 001 (ICPADS, 2023)

Machine learning tools to improve nonlinear modeling parameters of RC columns. - Hamid Khodadadi Koodiani; Elahe Jafari; Arsalan Majlesi; Mohammad Shahin; Adolfo Matamoros; Adel Alaeddini (CoRR, 2023)

Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study. - Stanford Martinez; Carolina Ramirez-Tamayo; Syed Hasib Akhter Faruqui; Kal Clark; Adel Alaeddini; Nicholas Czarnek; Aarushi Aggarwal; Sahra Emamzadeh; Jeffrey R. Mock; Edward J. Golob (CoRR, 2023)

Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial. - Carolina Ramirez-Tamayo; Syed Hasib Akhter Faruqui; Stanford Martinez; Angel Brisco; Nicholas Czarnek; Adel Alaeddini; Jeffrey R. Mock; Edward J. Golob; Kal L. Clark (CoRR, 2023)

Machine Learning-Based Problem Space Reduction in Stochastic Programming Models: An Application in Biofuel Supply Chain Network Design. - Kolton Keith; Krystel K. Castillo-Villar; Adel Alaeddini (IEEE Access, 2024)

A Laplacian regularized graph neural network for predictive modeling of multiple chronic conditions. - Julian Carvajal Rico; Adel Alaeddini; Syed Hasib Akhter Faruqui; Susan P. Fisher-Hoch; Joseph B. Mccormick (Comput. Methods Programs Biomed., 2024)

Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Yan Du; Shiyu Li; Kumar Sharma; Jing Wang (CoRR, 2024)

A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network. - Julian Carvajal Rico; Adel Alaeddini; Syed Hasib Akhter Faruqui; Susan P. Fisher-Hoch; Joseph B. Mccormick (CoRR, 2024)

Structured segment rescaling with Gaussian processes for parameter efficient ConvNets. - Bilal Siddiqui; Adel Alaeddini; Dakai Zhu 001 (J. Syst. Archit., 2024)

Few-shot classification with prototypical neural network for hospital flow recognition under uncertainty. - Mike C. Chang; Adel Alaeddini (Netw. Model. Anal. Health Informatics Bioinform., 2024)