• Accuracy and limitations for spectroscopic prediction of leaf traits in seasonally dry tropical environments 

      Streher, Annia; Torres, Ricardo Da Silva; Leonor, Morellato; Thiago, Silva (Peer reviewed; Journal article, 2020)
      Generalized assessments of the accuracy of spectroscopic estimates of ecologically important leaf traits such as leaf mass per area (LMA) and leaf dry matter content (LDMC) are still lacking for most ecosystems, and ...
    • 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 ...
    • Exploring the determinants of success in different clusters of ball possession sequences in soccer 

      Merlim, Murilo; Cunha, Sergio; Moura, Felipe; Torres, Ricardo Da Silva; Gonçalves, Bruno; Sampaio, Jaime (Peer reviewed; Journal article, 2020)
      The purpose of this study was two-step: (1) classify ball possession (BP) according to the duration and number of passes and (2) identify which tactical variables most discriminate the different BP. We obtained 527 BPs ...
    • INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches 

      Pinciroli Vago, Nicolo' Oreste; Lavinas, Yuri; Rodrigues, Daniele; Moura, Felipe; Cunha, Sergio; Aranha, Claus; Torres, Ricardo Da Silva (Chapter, 2020)
      This paper introduces Interactive Graph Analyzer (INTEGRA), a tool to support the comparison of simulated football matches with real ones, through the analysis of dynamic graphs. Our tool supports coordinated views of ...
    • KGen: a knowledge graph generator from biomedical scientific literature 

      Rossanez, Anderson; Reis, Julio; Torres, Ricardo Da Silva; Ribaupierre, Hélène (Peer reviewed; Journal article, 2020)
      Background Knowledge is often produced from data generated in scientific investigations. An ever-growing number of scientific studies in several domains result into a massive amount of data, from which obtaining new ...
    • 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 ...
    • MobText: A Compact Method for Scene Text Localization 

      Decker, Luis; Pinto, Allan; Campana, Jose; Neira, Manuel; Santos, Andreza; Conceição, Jhonatas; Angeloni, Marcus; Li, Lin; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      Abstract: Multiple research initiatives have been reported to yield highly effective results for the text detection problem. However, most of those solutions are very costly, which hamper their use in several applications ...
    • Neural relational inference for disaster multimedia retrieval 

      Fadel, Samuel G.; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      Events around the world are increasingly documented on social media, especially by the people experiencing them, as these platforms become more popular over time. As a consequence, social media turns into a valuable source ...
    • Non-technical Loss Detection in Power Grid Using Information Retrieval approaches: A Comparative Study 

      Esmael, Agnaldo; Silva, Hugo; Ji, Tuo; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2021)
      Non-technical loss (NTL) detection is a persistent challenge for Distribution System Operators. Data-driven solutions have been widely used nowadays to analyze customers’ energy consumption and to identify suspicious fraud ...
    • 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 ...
    • Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation 

      Pinto, Allan; Cordova, Manuel; Decker, Luis; Campana, Jose; Souza, Marcos; Andreza, Santos; Jhonatas, Conceição; Gagliardi, Henrique; Luvizon, Diogo; Torres, Ricardo Da Silva; Pedrini, Helio (Chapter, 2020)
      Stereo vision is a growing topic in computer vision due to the innumerable opportunities and applications this technology offers for the development of modern solutions, such as virtual and augmented reality applications. ...
    • Pelee-Text++: A Tiny Neural Network for Scene Text Detection 

      Cordova, Manuel; Pinto, Allan; Pedrini, Helio; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2020)
      Scene text detection has become an important field in the computer vision area due to the increasing number of applications. This is a very challenging problem as textual elements are commonly found in “noisy” and complex ...
    • Relationship between maximal aerobic power with aerobic fitness as a function of signal-to-noise ratio 

      Beltrame, Thomas; Gois, Mariana; Hoffmann, Uwe; Koschate, Jessica; Hughson, Richard; Frade, Maria; Linares, Stephanie; Torres, Ricardo Da Silva; Catai, Aparecida (Peer reviewed; Journal article, 2020)
      Efforts to better understand cardiorespiratory health are relevant for the future development of optimized physical activity programs. We aimed to explore the impact of the signal quality on the expected associations between ...
    • 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 ...