CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering. - Mohammed Aburidi; Roummel F. Marcia (ICIP, 2023)

Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images. - Mohammed Aburidi; Roummel F. Marcia (ICMLA, 2023)

Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent. - Mohammed Aburidi; Mario Banuelos; Suzanne Sindi; Roummel F. Marcia (MeMeA, 2023)

Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning. - Mohammed Aburidi; Roummel F. Marcia (EAIS, 2024)

Optimal Transport-Based Network Alignment: Graph Classification of Small Molecule Structure-Activity Relationships in Biology. - Mohammed Aburidi; Roummel F. Marcia (EMBC, 2024)

Contrastive Pre-Training and Multiple Instance Learning for Predicting Tumor Microsatellite Instability. - Ronald Nap; Mohammed Aburidi; Roummel F. Marcia (EMBC, 2024)

Wasserstein-Based Similarity Constrained Matrix Factorization for Drug-Drug Interaction Prediction. - Sarah Malone; Mohammed Aburidi; Roummel F. Marcia (SiPS, 2024)

Optimization for Robust and Interpretable Learning on Graphs and Images - Mohammed Aburidi (2024)