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Malware Detection in Android-based Mobile Environments using Optimum-Path Forest
(Elsevier B.V., 2015-01-01)
Nowadays, people use smartphones and tablets with the very same purposes as desktop computers: web browsing, social networking and home-banking, just to name a few. However, we are often facing the problem of keeping our ...
Real-time monocular image-based path detection
(Springer-Verlag, 2013-06)
In this work, we present a new real-time imagebased monocular path detection method. It does not require camera calibration and works on semi-structured outdoor paths. The core of the method is based on segmenting images ...
Optimum-path forest stacking-based ensemble for intrusion detection
(Springer, 2021-05-12)
Machine learning techniques have been extensively researched in the last years, mainly due to their effectiveness when dealing with recognition or classification applications. Typically, one can comprehend using a Machine ...
Improving the Accuracy of the Optimum-Path Forest Supervised Classifier for Large Datasets
(Springer, 2010-01-01)
In this work, a new approach for supervised pattern recognition is presented which improves the learning algorithm of the Optimum-Path Forest classifier (OPF), centered on detection and elimination of outliers in the ...
Design of a simple detection cell with extended optical path length for capillary electrophoresis: Application to multiresidue pesticide analysis
(Taylor & Francis Inc, 2005-01-01)
Absorbance detection in capillary electrophoresis (CE), offers an excellent mass sensitivity, but poor concentration detection limits owing to very small injection volumes (normally I to 10 nL). This aspect can be a limiting ...
Design of a simple detection cell with extended optical path length for capillary electrophoresis: Application to multiresidue pesticide analysis
(Taylor & Francis Inc, 2005-01-01)
Absorbance detection in capillary electrophoresis (CE), offers an excellent mass sensitivity, but poor concentration detection limits owing to very small injection volumes (normally I to 10 nL). This aspect can be a limiting ...
Unsupervised non-technical losses identification through optimum-path forest
(Elsevier B.V., 2016-11-01)
Non-technical losses (NTL) identification has been paramount in the last years. However, it is not straightforward to obtain labelled datasets to perform a supervised NTL recognition task. In this paper, the optimum-path ...
A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest
(Institute of Electrical and Electronics Engineers (IEEE), 2011-02-01)
Nowadays, fraud detection is important to avoid nontechnical energy losses. Various electric companies around the world have been faced with such losses, mainly from industrial and commercial consumers. This problem has ...
An Optimum-Path Forest framework for intrusion detection in computer networks
(Pergamon-Elsevier B.V. Ltd, 2012-09-01)
Intrusion detection systems that make use of artificial intelligence techniques in order to improve effectiveness have been actively pursued in the last decade. However, their complexity to learn new attacks has become ...
An Optimum-Path Forest framework for intrusion detection in computer networks
(Pergamon-Elsevier B.V. Ltd, 2012-09-01)
Intrusion detection systems that make use of artificial intelligence techniques in order to improve effectiveness have been actively pursued in the last decade. However, their complexity to learn new attacks has become ...