Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Carlos N. Silla"'
Autor:
Loris Nanni, Yandre M. G. Costa, Rafael L. Aguiar, Rafael B. Mangolin, Sheryl Brahnam, Carlos N. Silla
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2020, Iss 1, Pp 1-14 (2020)
Abstract In this work, we present an ensemble for automated audio classification that fuses different types of features extracted from audio files. These features are evaluated, compared, and fused with the goal of producing better classification acc
Externí odkaz:
https://doaj.org/article/a24db37327d840a28501f69b6e1a78fb
Autor:
Loris Nanni, Rafael L. Aguiar, Yandre M.G. Costa, Sheryl Brahnam, Carlos N. Silla Jr., Ricky L. Brattin, Zhao Zhao
Publikováno v:
IET Computer Vision, Vol 12, Iss 2, Pp 178-184 (2018)
Image identification of animals is mostly centred on identifying them based on their appearance, but there are other ways images can be used to identify animals, including by representing the sounds they make with images. In this study, the authors p
Externí odkaz:
https://doaj.org/article/1166c676d93548d4b4ea33a06c9384b8
Publikováno v:
IEEE Transactions on Learning Technologies. :1-19
Publikováno v:
Information Sciences. 578:344-363
Although the class imbalance issue affects hierarchical datasets, the literature has few studies that deal with it, especially when it comes to methods to pre-process the training dataset as a whole. In this study, we present novel resampling algorit
Publikováno v:
Data Mining and Knowledge Discovery. 35:1564-1621
The task of learning from imbalanced datasets has been widely investigated in the binary, multi-class and multi-label classification scenarios. Although this problem also affects hierarchical datasets, there are few work in the literature dealing wit
Autor:
Diego Bertolini, Rafael B. Mangolin, Carlos N. Silla, Rodolfo Miranda Pereira, Valéria Delisandra Feltrim, Yandre M. G. Costa, Alceu S. Britto
Publikováno v:
Multimedia Tools and Applications. 81:19071-19096
Movie genre classification is a challenging task that has increasingly attracted the attention of researchers. The number of movie consumers interested in taking advantage of automatic movie genre classification is overgrowing, thanks to media stream
Publikováno v:
Neurocomputing. 383:95-105
A large variety of problems are multi-labeled, which made the Multi-Label Classification field become an active topic in the machine learning community. However, real world problems tend to be imbalanced, meaning that some classes may have more sampl
Autor:
William Wolff, Maicon A. Tibola, João G. Vitório, Carlos N. Silla, Luciano Mengarelli, Bruno Kostiuk
Publikováno v:
Multimedia Tools and Applications. 79:6383-6408
Music is rhythm, timbre, tones, intensity and performance. Conventional Western Music Notation (CWMN) is used to generate Music Scores in order to register music on paper. Optical Music Recognition (OMR) studies techniques and algorithms for converti
Autor:
Fabio K. H. De Barros, Andre L. Jeller Selleti, Vinicius A. P. Queiroz, Rodolfo M. Pereira, Carlos N. Silla
Publikováno v:
2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE).
Publikováno v:
Anais Estendidos da XXXIV Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2021).
Many important classification problems are imbalanced. Although resampling approaches are a common solution for different types of classification problems, they were still not defined for hierarchical classification problems. The objective of this wo