Zobrazeno 1 - 10
of 348
pro vyhledávání: '"Attux, Romis"'
Autor:
Bassi, Pedro R. A. S., Attux, Romis
Objective: To propose novel SSVEP classification methodologies using deep neural networks (DNNs) and improve performances in single-channel and user-independent brain-computer interfaces (BCIs) with small data lengths. Approach: We propose the utiliz
Externí odkaz:
http://arxiv.org/abs/2109.02165
Publikováno v:
In Applied Soft Computing April 2024 155
Autor:
Bassi, Pedro R. A. S., Attux, Romis
Publikováno v:
Research on Biomedical Engineering, Springer (2022)
Purpose: we evaluated the generalization capability of deep neural networks (DNNs), trained to classify chest X-rays as Covid-19, normal or pneumonia, using a relatively small and mixed dataset. Methods: we proposed a DNN to perform lung segmentation
Externí odkaz:
http://arxiv.org/abs/2104.06176
Publikováno v:
Biomedical Signal Processing and Control 67 (2021) 102542
Objective: We used deep convolutional neural networks (DCNNs) to classify electroencephalography (EEG) signals in a steady-state visually evoked potentials (SSVEP) based single-channel brain-computer interface (BCI), which does not require calibratio
Externí odkaz:
http://arxiv.org/abs/2010.06503
Machine learning applied to computer vision and signal processing is achieving results comparable to the human brain on specific tasks due to the great improvements brought by the deep neural networks (DNN). The majority of state-of-the-art architect
Externí odkaz:
http://arxiv.org/abs/2006.15476
Autor:
Pelegrina, Guilherme D., Brotto, Renan D. B., Duarte, Leonardo T., Attux, Romis, Romano, João M. T.
Publikováno v:
IEEE 2022 International Joint Conference on Neural Networks (IJCNN), 2022, pp. 1-8
In dimensionality reduction problems, the adopted technique may produce disparities between the representation errors of different groups. For instance, in the projected space, a specific class can be better represented in comparison with another one
Externí odkaz:
http://arxiv.org/abs/2006.06137
Autor:
Bassi, Pedro R. A. S., Attux, Romis
Purpose: We present image classifiers based on Dense Convolutional Networks and transfer learning to classify chest X-ray images according to three labels: COVID-19, pneumonia and normal. Methods: We fine-tuned neural networks pretrained on ImageNet
Externí odkaz:
http://arxiv.org/abs/2005.01578
Publikováno v:
Expert Systems with Applications, Volume 131, Pages 60--70, October 2019
Several problems in signal processing are addressed by expert systems which take into account a set of priors on the sought signals and systems. For instance, blind source separation is often tackled by means of a mono-objective formulation which rel
Externí odkaz:
http://arxiv.org/abs/2002.02241
Autor:
de Paula, Patrick Oliveira, da Silva Costa, Thiago Bulhões, de Faissol Attux, Romis Ribeiro, Fantinato, Denis Gustavo
Publikováno v:
In Expert Systems With Applications 15 March 2023 214
Publikováno v:
In Big Data Research 28 August 2022 29