Mohammed Amine Gharsallaoui

11 papers A* 1Journal 7Unranked 3

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