817 citations
- Université de MontréalCA75 papers
- Centre National de la Recherche ScientifiqueFR36 papers
- École de Technologie SupérieureCA25 papers
- Center for Astrophysics Harvard & SmithsonianUS20 papers
- Institut National de la Recherche ScientifiqueCA15 papers
- McGill UniversityCA15 papers
- Concordia UniversityCA13 papers
- Université Paris CitéFR12 papers
- California Institute of TechnologyUS11 papers
- University of GenevaCH11 papers
- Ames Research CenterUS10 papers
- Université Paris-SaclayFR10 papers
24 papers · 1 filter
A Unified Perspective for Learning Graph Representations Across Multi-Level Abstractions
Mohamed Mahmoud Amar, Nairouz Mrabah, Mohamed Bouguessa +1
Graph Self-Supervised Learning (GSSL) has emerged as a powerful paradigm for generating high-quality representations for graph-structured data. While multi-scale graph contrastive…
IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift
Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto +2
Data streams pose challenges not usually encountered in batch-based ML. One of them is concept drift, which is characterized by the change in data distribution over time. Among man…
Resampling strategies for imbalanced regression: a survey and empirical analysis
Juscimara G. Avelino, George D. C. Cavalcanti, Rafael M. O. Cruz
Imbalanced problems can arise in different real-world situations, and to address this, certain strategies in the form of resampling or balancing algorithms are proposed. This issue…
Imbalanced Regression Pipeline Recommendation
Juscimara G. Avelino, George D. C. Cavalcanti, Rafael M. O. Cruz
Imbalanced problems are prevalent in various real-world scenarios and are extensively explored in classification tasks. However, they also present challenges for regression tasks d…
Improving clustering quality evaluation in noisy Gaussian mixtures
Renato Cordeiro de Amorim, Vladimir Makarenkov
Clustering is a well-established technique in machine learning and data analysis, widely used across various domains. Cluster validity indices, such as the Average Silhouette Width…
A Geometric Perspective for High-Dimensional Multiplex Graphs
Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
High-dimensional multiplex graphs are characterized by their high number of complementary and divergent dimensions. The existence of multiple hierarchical latent relations between…