• Application-Oriented Retinal Image Models for Computer Vision 

      Silva, Ewerton; Torres, Ricardo Da Silva; Pinto, Allan; Li, Lin; Vianna, José; Azevedo, Rodolfo; Goldenstein, Siome (Peer reviewed; Journal article, 2020)
      Energy and storage restrictions are relevant variables that software applications should be concerned about when running in low-power environments. In particular, computer vision (CV) applications exemplify well that ...
    • A Change-Driven Image Foveation Approach for Tracking Plant Phenology 

      Silva, Ewerton; Torres, Ricardo Da Silva; Bruna, Alberton; Leonor, Morellato; Thiago, Silva (Peer reviewed; Journal article, 2020)
      One of the challenges in remote phenology studies lies in how to efficiently manage large volumes of data obtained as long-term sequences of high-resolution images. A promising approach is known as image foveation, which ...
    • Corresponding Assessment Scenarios in Laboratory and On-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Players 

      Gobatto, Claudio; Torres, Ricardo Da Silva; Moura, Felipe; Cunha, Sergio; Giacometti, Caio; Araujo, Gustavo; Sousa, Filipe; Manchado-Gobatto, Fúlvia (Peer reviewed; Journal article, 2020)
      Besides technical and tactical aspects, basketball matches involve high aerobic and anaerobic capacities, conferring the final performance of a team. Thus, the evaluation of physical and technical responses is an effective ...
    • EVOCROS: Results for OAEI 2019 

      Destro, Juliana Medeiros; Vargas, Javier A; dos Reis, Julio Cesar; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2019)
      This paper describes the updates in EVOCROS, a crosslingual ontology alignment system suited to create mappings between ontologies described in different natural language. Our tool combines syntactic and semantic similarity ...
    • Learning cost function for graph classification with open-set methods 

      Werneck, Rafael de Oliveira; Raveaux, Romain; Tabbone, Salvatore; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2019)
      In several pattern recognition problems, effective graph matching is of paramount importance. In this paper, we introduce a novel framework to learn discriminative cost functions. These cost functions are embedded into a ...
    • On the Fusion of Text Detection Results: A Genetic Programming Approach 

      Campana, Jose; Pinto, Allan; Neira, Manuel; Decker, Luis; Santos, Andreza; Conceição, Jhonatas; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      Hundreds of text detection methods have been proposed, motivated by their widespread use in several applications. Despite the huge progress in the area, which includes even the use of sophisticated learning schemes, ad-hoc ...
    • Ontology changes-driven semantic refinement of cross-language biomedical ontology alignments 

      Destro, Juliana Medeiros; dos Reis, Julio Cesar; Torres, Ricardo Da Silva; Ricarte, Ivan (Peer reviewed; Journal article, 2019)
      Biomedical computational systems benefits from the use of ontologies. However, interconnectivity between these systems is a challenge, specially when the ontologies supporting each system are described in different natural ...
    • A Soft Computing Approach for Selecting and Combining Spectral Bands 

      Albarracin, Juan; Oliveira, Rafael S; Hirota, Marina; Santos, Jefersson; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      We introduce a soft computing approach for automatically selecting and combining indices from remote sensing multispectral images that can be used for classification tasks. The proposed approach is based on a Genetic-Programming ...