Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Rodolfo Miranda Pereira"'
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::154a91e9773b21f22724d916f5b6a00d
https://doi.org/10.1016/j.ins.2021.07.033
https://doi.org/10.1016/j.ins.2021.07.033
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4c4a2b7a573aa59718474f1c79d04bc
https://doi.org/10.1007/s10618-021-00762-8
https://doi.org/10.1007/s10618-021-00762-8
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecdbe7ea592496133870f8564f73ef65
https://doi.org/10.1007/s11042-020-10086-2
https://doi.org/10.1007/s11042-020-10086-2
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5126de41e2049c79e0eeebe339001e28
https://doi.org/10.1016/j.neucom.2019.11.076
https://doi.org/10.1016/j.neucom.2019.11.076
Publikováno v:
Anais Estendidos do XXI Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS Estendido 2021).
Muitos problemas de classificação importantes são desbalanceados. Embora as abordagens de reamostragem sejam uma solução comum para diferentes tipos de problemas de classificação, elas ainda não foram definidas para problemas de classificaç
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::083226583ebbc67f25e5d69a817002d0
https://doi.org/10.5753/sbcas.2021.16094
https://doi.org/10.5753/sbcas.2021.16094
Autor:
Lucas Teixeira, Loris Nanni, Yandre M. G. Costa, Luiz S. Oliveira, Diego Bertolini, Rodolfo Miranda Pereira, George D. C. Cavalcanti
Publikováno v:
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7116, p 7116 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 21
Sensors, Vol 21, Iss 7116, p 7116 (2021)
Sensors (Basel, Switzerland)
COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams. Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less radiation. Here, we demonstrate the impact of lung segmentation in COVID-19 ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4e2ca410b22be6668e7c84d97aaa0c4
http://hdl.handle.net/11577/3421008
http://hdl.handle.net/11577/3421008
Autor:
Arthur Rodrigues Batista, Diego Bertolini, Yandre M. G. Costa, Luiz Fellipe Machi Pereira, Rodolfo Miranda Pereira, Lucas O. Teixeira
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030934194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15d81df785ea908cf2a45b484595cd9a
https://doi.org/10.1007/978-3-030-93420-0_5
https://doi.org/10.1007/978-3-030-93420-0_5
Autor:
Diego Bertolini, Carlos N. Silla, Yandre M. G. Costa, Rodolfo Miranda Pereira, Lucas Teixeira
Publikováno v:
Computer Methods and Programs in Biomedicine
Highlights • COVID-19 identification in chest X-ray using multi-class and hierarchical learners. • Using a database that reflects a real world scenario with its natural imbalance. • Exploring the textural content from the chest X-ray images wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::505079c229936527276b2f0b33660854
http://arxiv.org/abs/2004.05835
http://arxiv.org/abs/2004.05835
Autor:
Jacqueline Nelisis Zanoni, Camila Caviquioli Sehaber-Sierakowski, Sara Raquel Garcia de Souza, Yandre M. G. Costa, Franklin César Flores, Gleison Daion Piovezana Bossolani, Gustavo Zanoni Felipe, Rodolfo Miranda Pereira, Luiz S. Oliveira
Publikováno v:
Neural Computing & Applications
Studies recently accomplished on the Enteric Nervous System have shown that chronic degenerative diseases affect the Enteric Glial Cells (EGC) and, thus, the development of recognition methods able to identify whether or not the EGC are affected by t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faf26626a5a5a1128ca5106d5769d722
Autor:
Rafael de Lima Aguiar, Carlos N. Silla, Rodolfo Miranda Pereira, Yandre M. G. Costa, Alceu S. Britto, Luiz S. Oliveira
Publikováno v:
IJCNN
In this work we present a comprehensive set of experiments aiming to perform music genre classification using learned and handcrafted features plus the fusion of them. Handcrafted features were obtained from the audio signal itself, lyrics, chords an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a60d373a62ade68fa6295f451f13881
https://doi.org/10.1109/ijcnn.2019.8852334
https://doi.org/10.1109/ijcnn.2019.8852334