Blar i Institutt for IKT og realfag på forfatter "Torres, Ricardo Da Silva"
-
Improving open-air museum experience through immersive virtual reality
Aure, Trine Gaaseide (Master thesis, 2021)Målet med denne oppgaven er å forbedre opplevelsen til besøkende på et friluftsmuseum ved hjelp av oppslukende virtuell virkelighet. Dette legger til rette for utforskning som normalt ikke ville være mulig, da bygningen ... -
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 ... -
Learning Vocabularies to Embed Graphs in Multimodal Rank Aggregation Tasks
Dourado, Icaro; Torres, Ricardo Da Silva (Chapter, 2021)This paper introduces Supervised Bag of Graphs (SBoG), a supervised vocabulary learning approach for multi-modal graph-based rank aggregation tasks. In our formulation, collection objects are represented based on complementary ... -
Measuring Economic Activity From Space: A Case Study Using Flying Airplanes and COVID-19
Segundo, Mauricio; Pinto, Allan; Minetto, Rodrigo; Torres, Ricardo Da Silva; Sarkar, Sudeep (Peer reviewed; Journal article, 2021)This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We hypothesize that disturbances in human behavior caused by major life-changing events leave ... -
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 ... -
A Multirepresentational Fusion of Time Series for Pixelwise Classification
Dias, Danielle; Pinto, Allan; Dias, Ulisses; Lamparelli, Rubens; Le Maire, Guerric; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)This article addresses the pixelwise classification problem based on temporal profiles, which are encoded in 2-D representations based on recurrence plots, Gramian angular/ difference fields, and Markov transition field. ... -
Multiscale fractal dimension applied to tactical analysis in football: A novel approach to evaluate the shapes of team organization on the pitch
Bueno, Murilo José de Oliveira; Silva, Maisa; Cunha, Sergio Augusto; Torres, Ricardo Da Silva; Moura, Felipe Arruda (Journal article; Peer reviewed, 2021)The aim of this study was to evaluate different shape descriptors applied to images of polygons that represent the organization of football teams on the pitch. The effectiveness of different shape descriptors (area/perimeter, ... -
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 ... -
On the prediction of long-lived bugs: An analysis and comparative study using FLOSS projects
Luiz, Gomes; Torres, Ricardo Da Silva; Côrtes, Mario (Journal article; Peer reviewed, 2021)Context: Software evolution and maintenance activities in today’s Free/Libre Open Source Software (FLOSS) rely primarily on information extracted from bug reports registered in bug tracking systems. Many studies point out ... -
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 ... -
Principled Interpolation in Normalizing Flows
Fadel, Samuel G.; Mair, Sebastian; Torres, Ricardo Da Silva; Brefeld, Ulf (Chapter, 2021)Generative models based on normalizing flows are very successful in modeling complex data distributions using simpler ones. However, straightforward linear interpolations show unexpected side effects, as interpolation paths ... -
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 ... -
Representing Scientific Literature Evolution via Temporal Knowledge Graphs
Rossanez, Anderson; Reis, Julio; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)Scientific publications register the current knowledge in a specific domain. As new researches are conducted, knowledge evolves, getting documented in dissertations, theses and articles. In this article, we introduce new ... -
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 ...