PEER-REVIEWED PUBLICATIONS - Google Scholar
2024
(Submitted) Mohammed Aburidi and Roummel Marcia. Defending Graph Neural Networks Against Adversarial attacks via Matrix Factorization. The 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024). .
(Submitted) Sarah Malone, Mohammed Aburidi and Roummel Marcia. Triple Matrix Factorization for Drug-Drug Interaction Prediction Using Fused Gromov-Wasserstein Distances. The 32th European Signal Processing Conference (EUSIPCO). .
(Submitted) Sarah Malone, Mohammed Aburidi and Roummel Marcia. Wasserstein-Based Similarity Constrained Matrix Factorization for Drug-Drug Interaction Prediction. IEEE Workshop on Signal Processing Systems .
(Accepted) Mohammed Aburidi and Roummel Marcia. Optimal Transport-Based Network Alignment: Graph Classification of Small Molecule Structure-Activity Relationships in Biology. the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. .
(Accepted) Ronald Nap, Mohammed Aburidi and Roummel Marcia. Contrastive pre-training and multiple instance learning for predicting tumor microsatellite instability. the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. .
(Accepted) Mohammed Aburidi and Roummel Marcia. Topological adversarial attacks on graph neural networks via projected meta learning. The 2024 IEEE Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2024). .
(Accepted) Mohammed Aburidi and Roummel Marcia. Adversarial attack and training for graph convolutional networks using focal loss-projected momentum. The 3rd International Conference on Computing and Machine Intelligence (ICMI). .
2023
(Submitted) Mohammed Aburidi and Roummel Marcia. Optimal Transport-Based Graph Kernels for Drug Property Prediction. Scientific Reports.
</span> M. Aburidi and R. Marcia, "Wasserstein Distance-Based Graph Kernel for Enhancing Drug Safety and Efficacy Prediction," 2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC) , Laguna Hills, CA, USA, 2024, pp. 113-119, doi: 10.1109/AIMHC59811.2024.00029 Online
M. Aburidi and R. Marcia, "Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images," 2023 International Conference on Machine Learning and Applications (ICMLA) , Jacksonville, FL, USA, 2023, pp. 301-307, doi: 10.1109/ICMLA58977.2023.00049. Online
Mohammed Aburidi and Roummel Marcia. CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering. Clustering," 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 1515-1519, doi: 10.1109/ICIP49359.2023.10222290. Online
Mohammed Aburidi and Mario Banuelos, Suzanne Sindi, Roummel Marcia. Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent. IEEE International Symposium on Medical Measurements and Applications (MeMeA), Online
2020
Hang Y Aburidi M and Husain B, Hickman AR, Poehlman WL, Feltus FA. . Exploration into biomarker potential of region-specific brain gene co-expression networks. Scientific Reports, 2020 Oct 13;10(1):17089. Online
2019
Nolte G Aburidi M and Engel AK. Robust calculation of slopes in detrended fluctuation analysis and its application to envelopes of human alpha rhythms. Scientific Reports, 9:6339. https://doi.org/10.1038/ s41598-019-42732-7. Online
2018
Nolte G Aburidi M . Stationary Detrended Fluctuation Analysis in the Fourier domain. International Journal of Psychophysiology, 131:S17-S18 DOI: 10.1016/j.ijpsycho.2018.07.055.
Aburidi, M. J. and Salman, A. Normalized Cumulative Periodogram Method For Tuning A Regularization parameter of The EEG Inverse Problem. The Journal of Middle East and North Africa Sciences, 4(02), 23-32. Online
2016
Aburidi, M. J. . A Comparative Study of the Regularization Parameter Estimation Methods for the EEG Inverse Problem. Masters Thesis, Online