91 citations · 117 across the 4 of their papers we have counts for
4 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…
Exploiting ConvNet Diversity for Flooding Identification
Keiller Nogueira, Samuel G. Fadel, Ícaro C. Dourado +7
Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities. A first and essential procedure towards flood monitoring is bas…