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Learning for Meta-Recognition
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2012)
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
(Ieee Computer SocLos AlamitosEUA, 2011)
Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2014)
A multi-objective artificial butterfly optimization approach for feature selection
(2020-09-01)
Feature selection plays an essential role in machine learning since high dimensional real-world datasets are becoming more popular nowadays. The very basic idea consists in selecting a compact but representative set of ...
Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images
(Institute of Electrical and Electronics Engineers (IEEE), 2014-04-01)
In the past few years, segmentation and classification techniques have become a cornerstone of many successful remote sensing algorithms aiming at delineating geographic target objects. One common strategy relies on using ...
A framework for selection and fusion of pattern classifiers in multimedia recognition
(Elsevier Science BvAmsterdamHolanda, 2014)
Handling dropout probability estimation in convolution neural networks using meta-heuristics
(Springer, 2018-09-01)
Deep learning-based approaches have been paramount in recent years, mainly due to their outstanding results in several application domains, ranging from face and object recognition to handwritten digit identification. ...
A recursive pattern recognition approach to selection web services in cloud environment
(Journal of Physics: Conference SeriesInglaterra, 2019-09-25)
There are optimization problems in the Cloud for the selection of web services, due to the large number of services available by different cloud providers and the diversity of quality of service parameters of each of them. ...
A recursive pattern recognition approach to selection web services in cloud environment
(Journal of Physics: Conference SeriesInglaterra, 2019-09-25)
There are optimization problems in the Cloud for the selection of web services, due to the large number of services available by different cloud providers and the diversity of quality of service parameters of each of them. ...
An individual task meta-analysis of social cognition in euthymic bipolar disorders
(Elsevier Science, 2015-03)
Objective Social cognition has been shown to be affected in bipolar disorders, even during euthymia. However, the social cognitive profile of this group of disorders remains to be ascertained, given that such a broad ...