Mohammed Amine Gharsallaoui

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Data Representations

Pattern Recognition

Tensor Decomposition

Top Venues

Neural Networks

Comput. Medical Imaging Graph.

Publications

Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. CoRR (2024)
Zeynep Gürler, Mohammed Amine Gharsallaoui, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
Template-based graph registration network for boosting the diagnosis of brain connectivity disorders. Comput. Medical Imaging Graph. 103 (2023)
Ahmed Nebli, Mohammed Amine Gharsallaoui, Zeynep Gürler, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
Quantifying the reproducibility of graph neural networks using multigraph data representation. Neural Networks 148 (2022)
Nada Chaari, Mohammed Amine Gharsallaoui, Hatice Camgöz-Akdag, Islem Rekik
Multigraph classification using learnable integration network with application to gender fingerprinting. Neural Networks 151 (2022)
Umut Guvercin, Mohammed Amine Gharsallaoui, Islem Rekik
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction. PRIME@MICCAI (2021)
Martin Hanik, Mehmet Arif Demirtas, Mohammed Amine Gharsallaoui, Islem Rekik
Predicting cognitive scores with graph neural networks through sample selection learning. CoRR (2021)
Mohammed Amine Gharsallaoui, Islem Rekik
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data. CoRR (2021)
Mohammed Amine Gharsallaoui, Furkan Tornaci, Islem Rekik
Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine. PRIME@MICCAI (2021)
Umut Guvercin, Mohammed Amine Gharsallaoui, Islem Rekik
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction. CoRR (2021)
Ugur Demir, Mohammed Amine Gharsallaoui, Islem Rekik
Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates. UNSURE/GRAIL@MICCAI (2020)