Adel Alaeddini
Orcid: 0000-0003-4451-3150
According to our database1,
Adel Alaeddini
authored at least 38 papers
between 2007 and 2024.
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Bibliography
2024
Few-shot classification with prototypical neural network for hospital flow recognition under uncertainty.
Netw. Model. Anal. Health Informatics Bioinform., December, 2024
Structured segment rescaling with Gaussian processes for parameter efficient ConvNets.
J. Syst. Archit., 2024
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network.
CoRR, 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
A Laplacian regularized graph neural network for predictive modeling of multiple chronic conditions.
Comput. Methods Programs Biomed., 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
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
Qual. Reliab. Eng. Int., 2017
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
Int. J. Data Anal. Tech. Strateg., 2014
2013
Qual. Reliab. Eng. Int., 2013
An Efficient Adaptive Sequential Methodology for Expensive Response Surface Optimization.
Qual. Reliab. Eng. Int., 2013
2011
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
Inf. Sci., 2008
2007
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007