Buscar
Mostrando ítems 61-70 de 13788
Applications of machine learning methods to genomic selection in breeding wheat for rust resistance
(Crop Science Society of America, 2018)
Combining machine learning and texture analysis to differentiate mediastinal lymph nodes in lung cancer patients
(Springer, 2021-03-17)
Evaluate whether texture analysis associated with machine learning approaches could differentiate between malignant and benign lymph nodes. A total 18 patients with lung cancer were selected, with 39 lymph nodes, being 15 ...
A survey on machine learning for recurring concept drifting data streams
The problem of concept drift has gained a lot of attention in recent years. This aspect is key in many domains exhibiting non-stationary as well as cyclic patterns and structural breaks affecting their generative processes. ...
Boosted projections and low cost transfer learning applied to smart surveillance
(Universidade Federal de Minas GeraisUFMG, 2018-02-23)
Computer vision is an important area related to understanding the world through images. It can be used in biometrics, by verifying whether a given face is of a certain identity, used to look for crime perpetrators in an ...
How far you can get using machine learning black-boxes
(2010-12-01)
Supervised Learning (SL) is a machine learning research area which aims at developing techniques able to take advantage from labeled training samples to make decisions over unseen examples. Recently, a lot of tools have ...
Using Machine Learning to Predict Complications in Pregnancy: A Systematic Review
(2022-01-19)
Introduction: Artificial intelligence is widely used in medical field, and machine learning has been increasingly used in health care, prediction, and diagnosis and as a method of determining priority. Machine learning ...
Using metrics from complex networks to evaluate machine translation
(ELSEVIER SCIENCE BV, 2011)
Establishing metrics to assess machine translation (MT) systems automatically is now crucial owing to the widespread use of MT over the web. In this study we show that such evaluation can be done by modeling text as complex ...