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ORCIDAdel Alaeddini
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2020 – today
- 2024
[j24]Kolton Keith, Krystel K. Castillo-Villar
, Adel Alaeddini:
Machine Learning-Based Problem Space Reduction in Stochastic Programming Models: An Application in Biofuel Supply Chain Network Design. IEEE Access 12: 33852-33866 (2024)- [j23]Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akhter Faruqui, Susan P. Fisher-Hoch, Joseph B. Mccormick:
A Laplacian regularized graph neural network for predictive modeling of multiple chronic conditions. Comput. Methods Programs Biomed. 247: 108058 (2024) - [j22]Mike C. Chang, Adel Alaeddini:
Few-shot classification with prototypical neural network for hospital flow recognition under uncertainty. Netw. Model. Anal. Health Informatics Bioinform. 13(1): 19 (2024) - [i8]Syed Hasib Akhter Faruqui, Adel Alaeddini, Yan Du, Shiyu Li, Kumar Sharma, Jing Wang:
Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin. CoRR abs/2401.02661 (2024) - [i7]Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akhter Faruqui, Susan P. Fisher-Hoch, Joseph B. Mccormick:
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network. CoRR abs/2409.13671 (2024) - 2023
- [c4]Pranav A. Bhounsule, Daniel Torres, Ernesto Hernandez-Hinojosa, Adel Alaeddini:
Task-Level Control and Poincaré Map-Based Sim-to-Real Transfer for Effective Command Following of Quadrupedal Trot Gait. Humanoids 2023: 1-8 - [c3]Bilal Siddiqui, Adel Alaeddini, Dakai Zhu:
Efficient ConvNet Optimization through Width Modification Guided with Gaussian Processes. ICPADS 2023: 1684-1691 - [i6]Hamid Khodadadi Koodiani, Elahe Jafari, Arsalan Majlesi, Mohammad Shahin, Adolfo Matamoros, Adel Alaeddini:
Machine learning tools to improve nonlinear modeling parameters of RC columns. CoRR abs/2303.16140 (2023) - [i5]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:
Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study. CoRR abs/2308.02748 (2023) - [i4]Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Stanford Martinez, Angel Brisco, Nicholas Czarnek, Adel Alaeddini, Jeffrey R. Mock, Edward J. Golob, Kal L. Clark:
Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial. CoRR abs/2308.06280 (2023) - 2022
- [j21]Stanford Martinez, Adel Alaeddini:
A Laplacian-regularized dual-phase Gaussian process technique for semi-supervised response surface modeling of black-box functions. Qual. Reliab. Eng. Int. 38(8): 4073-4098 (2022) - [c2]Yingyan Zeng, Parshin Shojaee, Syed Hasib Akhter Faruqui, Adel Alaeddini, Ran Jin:
Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet. ICPS 2022: 1-6 - [c1]Samuel Henrique Silva, Arun Das, Adel Alaeddini, Peyman Najafirad:
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks. ICWSM 2022: 968-979 - [i3]Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, Joseph B. Mccormick, Julian Carvajal Rico:
A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions. CoRR abs/2205.13639 (2022) - 2021
- [j20]Rajitha Meka, Adel Alaeddini, Chinonso Ovuegbe, Pranav A. Bhounsule, Peyman Najafirad, Kai Yang:
Multi-Armed Bandit Regularized Expected Improvement for Efficient Global Optimization of Expensive Computer Experiments With Low Noise. IEEE Access 9: 100125-100140 (2021) - [j19]Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Carlos A. Jaramillo, Mary Jo Pugh:
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 9: 148076-148089 (2021) - [j18]Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, Joseph B. Mccormick:
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 9: 169092-169106 (2021) - [i2]Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, Joseph B. McCormic:
Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions. CoRR abs/2107.13394 (2021) - 2020
- [j17]Samuel Henrique Silva, Adel Alaeddini, Peyman Najafirad:
Temporal Graph Traversals Using Reinforcement Learning With Proximal Policy Optimization. IEEE Access 8: 63910-63922 (2020) - [j16]Rajitha Meka, Adel Alaeddini, Sakiko Oyama, Kristina Langer:
An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression. IEEE Access 8: 111460-111474 (2020) - [j15]Rajitha Meka, Adel Alaeddini, Sakiko Oyama, Kristina Langer:
Corrections to "An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression". IEEE Access 8: 128239 (2020) - [j14]Pranav A. Bhounsule, Ernesto Hernandez-Hinojosa, Adel Alaeddini:
One-Step Deadbeat Control of a 5-Link Biped Using Data-Driven Nonlinear Approximation of the Step-to-Step Dynamics. Robotics 9(4): 90 (2020) - [i1]Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Carlos A. Jaramillo:
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions. CoRR abs/2007.15847 (2020)
2010 – 2019
- 2019
- [j13]Adel Alaeddini, Edward Craft, Rajitha Meka, Stanford Martinez:
Sequential Laplacian regularized V-optimal design of experiments for response surface modeling of expensive tests: An application in wind tunnel testing. IISE Trans. 51(5): 559-576 (2019) - [j12]Stanford Martinez, Adel Alaeddini, Kristina Langer:
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. 35(6): 1911-1928 (2019) - 2017
- [j11]Mohammad Hasan Bakhtiarifar, Amirhossein Amiri, Adel Alaeddini:
Economic-statistical design of X ¯ Shewhart control charts with fuzzy parameters. J. Intell. Fuzzy Syst. 32(6): 3961-3971 (2017) - [j10]Abed Motasemi, Adel Alaeddini, Changliang Zou:
An Area-based Methodology for the Monitoring of General Linear Profiles. Qual. Reliab. Eng. Int. 33(1): 159-181 (2017) - 2014
- [j9]Galal M. Abdella, Kai Yang, Adel Alaeddini:
Multivariate adaptive approach for monitoring simple linear profiles. Int. J. Data Anal. Tech. Strateg. 6(1): 2-14 (2014) - [j8]Adel Alaeddini, Kai Yang, Haojie Mao, Alper Ekrem Murat, Bruce E. Ankenman:
An Adaptive Sequential Experimentation Methodology for Expensive Response Surface Optimization - Case Study in Traumatic Brain Injury Modeling. Qual. Reliab. Eng. Int. 30(6): 767-793 (2014) - 2013
- [j7]Adel Alaeddini, Kai Yang, Alper Ekrem Murat:
ASRSM: A Sequential Experimental Design for Response Surface Optimization. Qual. Reliab. Eng. Int. 29(2): 241-258 (2013) - [j6]Adel Alaeddini, Alper Ekrem Murat, Kai Yang, Bruce E. Ankenman:
An Efficient Adaptive Sequential Methodology for Expensive Response Surface Optimization. Qual. Reliab. Eng. Int. 29(6): 799-817 (2013) - 2011
- [j5]Adel Alaeddini, Ibrahim Dogan:
Using Bayesian networks for root cause analysis in statistical process control. Expert Syst. Appl. 38(9): 11230-11243 (2011) - 2010
- [j4]Mohammad Hossein Fazel Zarandi, Adel Alaeddini:
A general fuzzy-statistical clustering approach for estimating the time of change in variable sampling control charts. Inf. Sci. 180(16): 3033-3044 (2010)
2000 – 2009
- 2009
- [j3]Adel Alaeddini, Mehdi Ghazanfari, Majid Amin Nayeri:
A hybrid fuzzy-statistical clustering approach for estimating the time of changes in fixed and variable sampling control charts. Inf. Sci. 179(11): 1769-1784 (2009) - 2008
- [j2]Mohammad Hossein Fazel Zarandi, Adel Alaeddini, I. Burhan Türksen:
A hybrid fuzzy adaptive sampling - Run rules for Shewhart control charts. Inf. Sci. 178(4): 1152-1170 (2008) - [j1]Mehdi Ghazanfari, Adel Alaeddini, Seyed Taghi Akhavan Niaki, Mir-Bahador Aryanezhad:
A clustering approach to identify the time of a step change in Shewhart control charts. Qual. Reliab. Eng. Int. 24(7): 765-778 (2008) - 2007
- [p1]Mohammad Hossein Fazel Zarandi, Adel Alaeddini, I. Burhan Türksen, Mehdi Ghazanfari:
A Neuro-fuzzy Multi-objective Design of Shewhart Control Charts. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 842-852
Coauthor Index
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