Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Andre G. C. Pacheco"'
Learning to estimate heart rate from accelerometer and user's demographics during physical exercises
Autor:
Andre G. C. Pacheco, Frank A. C. Cabello, Paula G. Rodrigues, Desiree C. Miraldo, Vanessa B. O. Fioravanti, Rafael G. Lima, Paula R. Pinto, Adriana M. O. Fonoff, Otavio A. B. Penatti
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-11
Autor:
Andre G. C. Pacheco, Frank A. C. Cabello, Adriana M. O. Fonoff, Paula G. Rodrigues, Otávio A. B. Penatti, Paula R. Pinto
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 25:3554-3563
Computer-aided skin cancer classification systems built with deep neural networks usually yield predictions based only on images of skin lesions. Despite presenting promising results, it is possible to achieve higher performance by taking into accoun
Publikováno v:
Frontiers of Information Technology & Electronic Engineering. 20:283-291
In this paper, we present an approach that can handle Z-numbers in the context of multi-criteria decision-making problems. The concept of Z-number as an ordered pair Z=(A, B) of fuzzy numbers A and B is used, where A is a linguistic value of a variab
Publikováno v:
ICASSP
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34c2c5031b385d08d4b4e73e555cf41b
http://arxiv.org/abs/2102.11771
http://arxiv.org/abs/2102.11771
Publikováno v:
IJCNN
Skin cancer is a quite common type of cancer. Its incidence is more often in caucasian people and melanoma is the most lethal one. In order to increase patient prognosis, developing tools to assist early diagnosis is quite important. In the last few
Publikováno v:
Neurocomputing. 292:151-164
Data classification appears in many real-world problems, e.g., recognition of image patterns, differentiation among species of plants, classifying between benign and malignant tumors, among others. Many of these problems present data patterns, which
Publikováno v:
Expert Systems with Applications. 96:77-85
The Extreme Learning Machine (ELM) is a single-hidden layer feedforward neural network (SLFN) learning algorithm that can learn effectively and quickly. The ELM training phase assigns the input weights and bias randomly and does not change them in th
Publikováno v:
Annals of Data Science. 5:93-110
In classification problems when multiple algorithms are applied to different benchmarks a difficult issue arises, i.e., how can we rank the algorithms? In machine learning, it is common to run the algorithms several times and then a statistic is calc
Publikováno v:
IJCNN
Skin lesion is an abnormal growth of skin cells that may become a skin cancer, which is a major health issue around the world and its incidence has been increasing throughout the years. Early detection is critical to increase the survival probability