Demo Data from EDBT 2026 / reviewers in the wild / expert
Mohammed Amine Gharsallaoui
dblp:275/8591
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2024
0000-0003-0668-0943ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 67% Computational science and engineering · 33% | |
| Databases, data mining, and information retrieval
1 paper |
Machine learning and data management · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Environmental and earth informatics
hydrology |
0.8 | 1 | 2024 | Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach · IJCAI 2024 |
Environmental and earth informatics › hydrology
streamflow prediction |
0.8 | 1 | 2024 | Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach · IJCAI 2024 |
Computational science and engineering
uncertainty quantification |
0.8 | 1 | 2024 | Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
machine learning · 1.5constrained reasoning · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach
Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Anantharaman Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa |
IJCAI | 1 |
| 2022 | Multigraph classification using learnable integration network with application to gender fingerprinting
Nada Chaari, Mohammed Amine Gharsallaoui, Hatice Camgöz-Akdag, Islem Rekik |
Neural Networks | 2 |
| 2022 | Quantifying the reproducibility of graph neural networks using multigraph data representation
Ahmed Nebli, Mohammed Amine Gharsallaoui, Zeynep Gürler, Islem Rekik |
Neural Networks | 2 |