22 citations · 25 across the 2 of their papers we have counts for
3 papers
Multimodal Prediction based on Graph Representations
Icaro Cavalcante Dourado, Salvatore Tabbone, Ricardo da Silva Torres
This paper proposes a learning model, based on rank-fusion graphs, for general applicability in multimodal prediction tasks, such as multimodal regression and image classification.…
Fusion vectors: Embedding Graph Fusions for Efficient Unsupervised Rank Aggregation
Icaro Cavalcante Dourado, Ricardo da Silva Torres
The vast increase in amount and complexity of digital content led to a wide interest in ad-hoc retrieval systems in recent years. Complementary, the existence of heterogeneous data…
Unsupervised Graph-based Rank Aggregation for Improved Retrieval
Icaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
This paper presents a robust and comprehensive graph-based rank aggregation approach, used to combine results of isolated ranker models in retrieval tasks. The method follows an un…