Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Denis Parra"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-15 (2023)
Abstract Music inpainting is a sub-task of automated music generation that aims to infill incomplete musical pieces to help musicians in their musical composition process. Many methods have been developed for this task. However, we observe a tendency
Externí odkaz:
https://doaj.org/article/8edccb451d3b4c66a5268692b2fab5a9
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109720- (2023)
The COVID-19 pandemic has underlined the need for reliable information for clinical decision-making and public health policies. As such, evidence-based medicine (EBM) is essential in identifying and evaluating scientific documents pertinent to novel
Externí odkaz:
https://doaj.org/article/c7ba1226d9744eefb5a95b407eead80a
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Deep learning, one of the fastest-growing branches of artificial intelligence, has become one of the most relevant research and development areas of the last years, especially since 2012, when a neural network surpassed the most advanced image classi
Externí odkaz:
https://doaj.org/article/695d97fb2af144f1a98129deb3032b98
Publikováno v:
IEEE Access, Vol 7, Pp 60255-60263 (2019)
User satisfaction is an important aspect to consider in any public transport system, and as such, regular and sound measurements of its levels are fundamental. However, typical evaluation schemes involve costly and time-consuming surveys. As a conseq
Externí odkaz:
https://doaj.org/article/6dbac74ea86544658ff608f17d11f06e
Publikováno v:
EPJ Data Science, Vol 7, Iss 1, Pp 1-23 (2018)
Abstract Cities are growing at a fast rate, and transportation networks need to adapt accordingly. To design, plan, and manage transportation networks, domain experts need data that reflect how people move from one place to another, at what times, fo
Externí odkaz:
https://doaj.org/article/b4c1a09c3ed245fb9ad4cdd8f4f84e1f
Publikováno v:
EPJ Data Science, Vol 6, Iss 1, Pp 1-35 (2017)
Abstract The immense growth of the social Web, which has made a large amount of user data easily and publicly available, has opened a whole new spectrum for research in social behavioral sciences. However, as the volume of social media content increa
Externí odkaz:
https://doaj.org/article/51cad272083b41ff9c400fe8d4132090
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0179144 (2017)
Studying the impact of food consumption on people's health is a serious matter for its implications on public policy, but it has traditionally been a slow process since it requires information gathered through expensive collection processes such as s
Externí odkaz:
https://doaj.org/article/3b086dcc3f7e4fe49911ae24e7520791
Publikováno v:
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Vol 59, Iss 7, Pp 469-476 (2011)
Spreading Activation is a family of graph-based algorithms widely used in areas such as information retrieval, epidemic models, and recommender systems. In this paper we introduce a novel Spreading Activation (SA) method that we call Vectorised Sprea
Externí odkaz:
https://doaj.org/article/59fa175f080645b0b132d529f74aa4c2
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-16
Autor:
Eduardo Godoy, Steren Chabert, Marvin Querales, Julio Sotelo, Denis Parra, Carlos Fernández, Diego Mellado, Alejandro Veloz, Scarlett Lever, Favian Pardo, Ayleen Bertini, Yomar Molina, Claudia Díaz, Rodrigo Ferreira, Rodrigo Salas
Publikováno v:
18th International Symposium on Medical Information Processing and Analysis.