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Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms
(Neural Computing and Applications, 2017-06-28) [Artigo]
Epilepsy is a class of chronic neurological disorders characterized by transient and unexpected electrical disturbances of the brain. The automated analysis of the electroencephalogram (EEG) signal can be instrumental for ...
A fast approach for unsupervised karst feature identification using GPU
(Computers and Geosciences, 2018-10-01) [Artigo]
Among the geological features, karst is the one that has received special attention in oil and gas exploration for being a strong indicator of the potential existence of hydrocarbon reservoirs. The integration of automatic ...
A binary cuckoo search and its application for feature selection
(Studies in Computational Intelligence, 2014-01-01) [Artigo]
In classification problems, it is common to find datasets with a large amount of features, some of theses features may be considered as noisy. In this context, one of the most used strategies to deal with this problem is ...
Binary flower pollination algorithm and its application to feature selection
(Studies in Computational Intelligence, 2015-01-01) [Artigo]
The problem of feature selection has been paramount in the last years, since it can be as important as the classification step itself. The main goal of feature selection is to find out the subset of features that optimize ...
Intrusion Detection System Based On Flows Using Machine Learning Algorithms
(Ieee Latin America Transactions, 2017-10-01) [Artigo]
The use of technology by different types of devices generates a large flow of confidential and personal information. Referencing this situation, it is necessary to use computer security tools, such as Intrusion Detection ...
Fine-tuning Deep Belief Networks using Harmony Search
(Applied Soft Computing, 2016-09-01) [Artigo]
In this paper, we deal with the problem of Deep Belief Networks (DBNs) parameters fine-tuning by means of a fast meta-heuristic approach named Harmony Search (HS). Although such deep learning-based technique has been widely ...