Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på forfatter "Da Silva Torres, Ricardo"

Viser treff 1-12 av 12

    • BERT- and TF-IDF-based feature extraction for long-lived bug prediction in FLOSS: A comparative study 

      Gomes, Luiz; Da Silva Torres, Ricardo; Côrtes, Mario Lúcio (Journal article; Peer reviewed, 2023)
      Context: The correct prediction of long-lived bugs could help maintenance teams to build their plan and to fix more bugs that often adversely affect software quality and disturb the user experience across versions in ...

    • Digital Twin for Walkability Assessment in City Planning 

      Longva, Bjørnar (Master thesis, 2021)
      En gangbar by er noe som er viktig for fremtidens velstand, helse og bærekraft. Det er gjort mye forskning i området, og flere byer har utviklet tiltak for å bli mer gangbare. Denne oppgaven introduserer utviklingen av et ...

    • Digital Twins For Topology Density Map Analysis 

      Hu, Zhicheng; Hasan, Agus Ismail; Da Silva Torres, Ricardo (Chapter, 2023)
      Properly analyzing spatiotemporal patterns is of paramount importance, especially in urban planning. In this paper, we introduce two digital twins to support the analysis of spatiotemporal data associated with urban ...

    • Interpersonal coordination of opposing player dyads during attacks performed in official football matches 

      Caetano, Fabio Giuliano; Santiago, Paulo Roberto Pereira; Da Silva Torres, Ricardo; Cunha, Sergio Augusto; Moura, Felipe Arruda (Journal article; Peer reviewed, 2023)
      The purpose of this study was to characterise the interpersonal coordination between opponent players during offensive sequences in official matches and to verify if offensive sequences ended in shots to goal present ...

    • Machine Learning for Automatically Counting Growth-Stunted Fish in Sea Cages 

      Sperre, Linda Helen (Master thesis, 2023)
      Lakseoppdrettsmerder inneholder ofte et stort antall veksthindrede fisk omtalt som "taperfisk". Tilstedeværelsen av taperfisk kan indikere utilstrekkelige velferdsfaktorer eller sykdommer. Ved å overvåke forekomsten av ...

    • The PlastOPol system for marine litter monitoring by citizen scientists 

      Wu, Di; Liu, Jincheng; Cordova, Manuel; Hellevik, Christina Carrozzo; Cyvin, Jakob Bonnevie; Pinto, Allan; Hameed, Ibrahim A.; Pedrini, Helio; Da Silva Torres, Ricardo; Fet, Annik Magerholm (Peer reviewed; Journal article, 2023)
      Marine plastic pollution has in recent decades become ubiquitous, posing threats to flora, fauna, and potentially human health. Proper monitoring and registration of litter occurrences are, therefore, of paramount importance ...

    • Regression by Re-Ranking 

      Gonçalves, Filipe Marcel Fernandes; Pedronette, Daniel Carlos Guimarães; Da Silva Torres, Ricardo (Journal article; Peer reviewed, 2023)
      Several approaches based on regression have been developed in the past few years with the goal of improving prediction results, including the use of ranking strategies. Re-ranking has been exploited and successfully employed ...

    • Relationship between tropical leaf phenology and ecosystem productivity using phenocameras 

      Alberton, Bruna; Martin, Thomas C. M.; Da Rocha, Humberto R.; Richardson, Andrew D.; Moura, Magna S. B.; Da Silva Torres, Ricardo; Morellato, Leonor Patricia Cerdeira (Peer reviewed; Journal article, 2023)
      Introduction: The interplay of water and light, regarded as the main driver of tropical plant dynamics, determines leaf phenology and ecosystem productivity. Leaf phenology has been discussed as a key variable to explain ...

    • Temporal Topology Density Map 

      Hu, Zhicheng; Hojjati, Amirabbas; Haghshenas, Amirashkan; Hasan, Agus Ismail; Da Silva Torres, Ricardo (Peer reviewed; Journal article, 2023)
      Spatiotemporal data visualization is of paramount importance in several applications, especially for analyzing urban mobility data encoded on topologies. This paper introduces a novel solution, called Temporal Topology ...

    • Toward characterizing cardiovascular fitness using machine learning based on unobtrusive data 

      Frade, Maria Cecília Moraes; Beltrame, Thomas; de Oliveira Gois, Mariana; Pinto, Allan; de Moura Tonello, Silvia Cristina Garcia; Da Silva Torres, Ricardo; Catai, Aparecida Maria (Peer reviewed; Journal article, 2023)
      Cardiopulmonary exercise testing (CPET) is a non-invasive approach to measure the maximum oxygen uptake (), which is an index to assess cardiovascular fitness (CF). However, CPET is not available to all populations and ...

    • The Use of Decision Support in Search and Rescue: A Systematic Literature Review 

      Nasar, Wajeeha; Da Silva Torres, Ricardo; Gundersen, Odd Erik; Karlsen, Anniken Susanne Thoresen (Peer reviewed; Journal article, 2023)
      Whenever natural and human-made disasters strike, the proper response of the concerned authorities often relies on search and rescue services. Search and rescue services are complex multidisciplinary processes that involve ...

    • Using machine learning pipeline to predict entry into the attack zone in football 

      Stival, Leandro; Pinto, Allan; Andrade, Felipe dos Santos Pinto de; Santiago, Paulo Roberto Pereira; Biermann, Henrik; Da Silva Torres, Ricardo; Dias, Ulisses (Peer reviewed; Journal article, 2023)
      Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data and derive insights from athlete performances during the competition. This paper addresses ...