Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates. - Ugur Demir; Mohammed Amine Gharsallaoui; Islem Rekik (UNSURE/GRAIL@MICCAI, 2020)

Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine. - Mohammed Amine Gharsallaoui; Furkan Tornaci; Islem Rekik (PRIME@MICCAI, 2021)

One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction. - Umut Guvercin; Mohammed Amine Gharsallaoui; Islem Rekik (PRIME@MICCAI, 2021)

Predicting cognitive scores with graph neural networks through sample selection learning. - Martin Hanik; Mehmet Arif Demirtas; Mohammed Amine Gharsallaoui; Islem Rekik (CoRR, 2021)

Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data. - Mohammed Amine Gharsallaoui; Islem Rekik (CoRR, 2021)

Multigraph classification using learnable integration network with application to gender fingerprinting. - Nada Chaari; Mohammed Amine Gharsallaoui; Hatice Camgöz-Akdag; Islem Rekik (Neural Networks, 2022)

Quantifying the reproducibility of graph neural networks using multigraph data representation. - Ahmed Nebli; Mohammed Amine Gharsallaoui; Zeynep Gürler; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Neural Networks, 2022)

Template-based graph registration network for boosting the diagnosis of brain connectivity disorders. - Zeynep Gürler; Mohammed Amine Gharsallaoui; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2023)

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. - Mohammed Amine Gharsallaoui; Bhupinderjeet Singh; Supriya Savalkar; Aryan Deshwal; Ananth Kalyanaraman; Kirti Rajagopalan; Janardhan Rao Doppa (IJCAI, 2024)

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. - Mohammed Amine Gharsallaoui; Bhupinderjeet Singh; Supriya Savalkar; Aryan Deshwal; Yan Yan 006; Ananth Kalyanaraman; Kirti Rajagopalan; Janardhan Rao Doppa (CoRR, 2024)