Adel Alaeddini

Orcid: 0000-0003-4451-3150

According to our database1, Adel Alaeddini authored at least 34 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin.
CoRR, 2024

Machine Learning-Based Problem Space Reduction in Stochastic Programming Models: An Application in Biofuel Supply Chain Network Design.
IEEE Access, 2024

2023
Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial.
CoRR, 2023

Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study.
CoRR, 2023

Machine learning tools to improve nonlinear modeling parameters of RC columns.
CoRR, 2023

Efficient ConvNet Optimization through Width Modification Guided with Gaussian Processes.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Task-Level Control and Poincaré Map-Based Sim-to-Real Transfer for Effective Command Following of Quadrupedal Trot Gait.
Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

2022
A Laplacian-regularized dual-phase Gaussian process technique for semi-supervised response surface modeling of black-box functions.
Qual. Reliab. Eng. Int., 2022

A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions.
CoRR, 2022

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

2021
Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions.
CoRR, 2021

Multi-Armed Bandit Regularized Expected Improvement for Efficient Global Optimization of Expensive Computer Experiments With Low Noise.
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.
IEEE Access, 2021

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.
IEEE Access, 2021

2020
One-Step Deadbeat Control of a 5-Link Biped Using Data-Driven Nonlinear Approximation of the Step-to-Step Dynamics.
Robotics, 2020

A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions.
CoRR, 2020

Temporal Graph Traversals Using Reinforcement Learning With Proximal Policy Optimization.
IEEE Access, 2020

Corrections to "An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression".
IEEE Access, 2020

An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression.
IEEE Access, 2020

2019
A sequential weighted Laplacian-regularized optimal design for response surface modeling of expensive functions with outliers: An application in linear elastic fracture mechanics.
Qual. Reliab. Eng. Int., 2019

Sequential Laplacian regularized V-optimal design of experiments for response surface modeling of expensive tests: An application in wind tunnel testing.
IISE Trans., 2019

2017
An Area-based Methodology for the Monitoring of General Linear Profiles.
Qual. Reliab. Eng. Int., 2017

Economic-statistical design of X ¯ Shewhart control charts with fuzzy parameters.
J. Intell. Fuzzy Syst., 2017

2014
An Adaptive Sequential Experimentation Methodology for Expensive Response Surface Optimization - Case Study in Traumatic Brain Injury Modeling.
Qual. Reliab. Eng. Int., 2014

Multivariate adaptive approach for monitoring simple linear profiles.
Int. J. Data Anal. Tech. Strateg., 2014

2013
ASRSM: A Sequential Experimental Design for Response Surface Optimization.
Qual. Reliab. Eng. Int., 2013

An Efficient Adaptive Sequential Methodology for Expensive Response Surface Optimization.
Qual. Reliab. Eng. Int., 2013

2011
Using Bayesian networks for root cause analysis in statistical process control.
Expert Syst. Appl., 2011

2010
A general fuzzy-statistical clustering approach for estimating the time of change in variable sampling control charts.
Inf. Sci., 2010

2009
A hybrid fuzzy-statistical clustering approach for estimating the time of changes in fixed and variable sampling control charts.
Inf. Sci., 2009

2008
A clustering approach to identify the time of a step change in Shewhart control charts.
Qual. Reliab. Eng. Int., 2008

A hybrid fuzzy adaptive sampling - Run rules for Shewhart control charts.
Inf. Sci., 2008

2007
A Neuro-fuzzy Multi-objective Design of Shewhart Control Charts.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007


  Loading...