A new method of feature extraction in the social network for withinnetwork classification is proposed in the paper. The method provides new features calculated by combination of both: network structure information and class labels assigned to nodes. The influence of various features on classification performance has also been studied. The experiments on realworld data have shown that features c...

AIM To review retrospectively 74 consecutive cases of combined phacoemulsification and transpupillary drainage of silicone oil. METHODS Candidate patients for intraocular silicone oil removal and cataract extraction underwent combined phacoemulsification and transpupillary drainage of silicone oil through a planned posterior capsulorrhexis and without the use of a pars plana infusion line. ...

A major drawback of artificial neural networks is their black-box character. Therefore, the rule extraction algorithm is becoming more and more important in explaining the extracted rules from the neural networks. In this paper, we use a method that can be used for symbolic knowledge extraction from neural networks, once they have been trained with desired function. The basis of this method is ...

BACKGROUND Liver hydatidosis may lead to serious morbidity due to biliary complications, the management for which endoscopic sphincterotomy (ES) and biliary drainage are very efficient. We evaluated the effectiveness of endoscopic treatment for complications of hepatic hydatid disease. METHODS We retrospectively reviewed endoscopic retrograde cholangiopancreatography (ERCP) procedures perform...

Actinomycosis, a rather uncommon infection of the oral cavity, poses and unusual problem: recurrence. Primary or initial diagnosis of the disease is difficult and can be made easier only if the clinician bears in mind a few important facts: a previously compromised site is usually present, a slow, low-grade, almost painless infectious course is prevalent which tends to localize, and respond...

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In recent years, deep learning methods have been widely used for road extraction in remote sensing images. However, the existing semantic segmentation networks generally show poor continuity due to high-class similarity between roads and buildings surrounding images, existence of shadows occlusion. To deal with this problem, paper proposes strip attention (SANet) extracting Firstly, a module (S...

Several approaches were proposed to describe the geomorphology of drainage networks and abiotic/biotic factors determining their morphology. There is an intrinsic complexity explicit qualification morphological variations in response various types control difficulty expressing cause-effect links. Traditional methods network classification are based on manual extraction key characteristics, then...