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of 115
pro vyhledávání: '"Pacheco, A. G. C."'
Autor:
Carvalho, Gustavo Sutter P., Luvizon, Diogo C., Neto, Antonio Joia, Pacheco, Andre G. C., Penatti, Otavio A. B.
Generating static novel views from an already captured image is a hard task in computer vision and graphics, in particular when the single input image has dynamic parts such as persons or moving objects. In this paper, we tackle this problem by propo
Externí odkaz:
http://arxiv.org/abs/2110.09380
Over the last decades, the incidence of skin cancer, melanoma and non-melanoma, has increased at a continuous rate. In particular for melanoma, the deadliest type of skin cancer, early detection is important to increase patient prognosis. Recently, d
Externí odkaz:
http://arxiv.org/abs/2104.14353
In this paper, we propose a new Sound Event Classification (SEC) method which is inspired in recent works for out-of-distribution detection. In our method, we analyse all the activations of a generic CNN in order to produce feature representations us
Externí odkaz:
http://arxiv.org/abs/2102.11771
Autor:
Pacheco, Andre G. C., Lima, Gustavo R., Salomão, Amanda S., Krohling, Breno A., Biral, Igor P., de Angelo, Gabriel G., Alves Jr, Fábio C. R., Esgario, José G. M., Simora, Alana C., Castro, Pedro B. C., Rodrigues, Felipe B., Frasson, Patricia H. L., Krohling, Renato A., Knidel, Helder, Santos, Maria C. S., Santo, Rachel B. do Espírito, Macedo, Telma L. S. G., Canuto, Tania R. P., de Barros, Luíz F. S.
Over the past few years, different computer-aided diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images since there is a strong lack of public clinical images archive availabl
Externí odkaz:
http://arxiv.org/abs/2007.00478
Skin cancer is a major public health problem around the world. Its early detection is very important to increase patient prognostics. However, the lack of qualified professionals and medical instruments are significant issues in this field. In this c
Externí odkaz:
http://arxiv.org/abs/1912.03280
Skin cancer is one of the most common types of cancer around the world. For this reason, over the past years, different approaches have been proposed to assist detect it. Nonetheless, most of them are based only on dermoscopy images and do not take i
Externí odkaz:
http://arxiv.org/abs/1909.12912
We describe our methods that achieved the 3rd and 4th places in tasks 1 and 2, respectively, at ISIC challenge 2019. The goal of this challenge is to provide the diagnostic for skin cancer using images and meta-data. There are nine classes in the dat
Externí odkaz:
http://arxiv.org/abs/1909.04525
Autor:
Pacheco, Andre G. C.
Data classification is present in different real problems, such as recognizing patterns in images, differentiating defective parts in a production line, classifying benign and malignant tumors, among many others. Many of these problems have data patt
Externí odkaz:
http://arxiv.org/abs/1905.03642
Autor:
Pacheco, Andre G. C.
Designing problems using matrices is very important in Computer Science. Fields like graph computer, graphs theory, and machine learning use matrices very often to solve their own problems. The most often matrix operation is the multiplication. It ma
Externí odkaz:
http://arxiv.org/abs/1905.03641
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