Brain-computer interfaces (BCIs) based on the electroencephalogram (EEG) generated during motor imagery (MI) have potential to be used in brain-controlled prosthetics, neurorehabilitation and gaming. Many MI EEG classification systems segment into windows for classification. However, a comprehensive analysis of decision fusion segmented data, within context different classifiers, has not been c...

Recently, cyberattacks have been more complex than in the past, as a new cyber-attack is initiated almost every day. Therefore, researchers should develop efficient intrusion detection systems (IDS) to detect cyber-attacks. In order improve and prevention of aforementioned cyber-attacks, several articles developed IDSs exploiting machine learning deep learning. this paper, way find network intr...

This paper proposes a model of a colluding attack in Volunteer Computing (VC), where some of participants are unreliable and may return incorrect results. The colluding attack is one of the most important issues to realize reliable VC because it may ruin the most basic assumption, i.e. “the majority in voting is correct”. Especially, check-by-voting archives the largest efficiency by sorting re...

Properties of an average voting rule the outcome being some weighted average of votes are investigated, with particular attention to its ability to protect minorities. The unique average voting outcome is characterized with a median formula which depends on the voters’ preferred allocations and some parameters constructed from the voters’ weights. We provide necessary and sufficient conditions ...

Voting algorithms are extensively used to make decisions in fault tolerant systems where each redundant module gives inconsistent outputs. Popular voting algorithms include majority voting, weighted voting, and inexact majority voters. Each of these techniques suffers from scenarios where agreements do not exist for the given voter inputs. This has been successfully overcome in literature using...

This paper presents the segmentation of bilateral parotid glands in the Head and Neck (H&N) CT images using an active contourbased atlas registration. We compare segmentation results from three atlas selection strategies: (i) selection of “single-most-similar” atlas for each image to be segmented, (ii) fusion of segmentation results from multiple atlases using STAPLE, and (iii) fusion of segmen...

In a symmetric information voting model, an individual (politician) can influence voters’ choices by strategically designing a policy experiment (public signal). We characterize the politician’s optimal experiment. With a non-unanimous voting rule, she exploits voters’ heterogeneity by designing an experiment with realizations targeting different winning coalitions. Consequently, under a simple...

For some applications of k-nearest neighbor classiiers, the best results are obtained at a relatively large value of k. With the majority voting method, these results can be suboptimal. In this paper the performance of various weighted voting methods is tested on a number of machine learning datasets. The results show that weighted voting is often superior to majority voting, and that the linea...

In this paper we propose a method using a generalization of the weighted majority voting scheme to locate the optic disc (OD) in retinal images automatically. The location with the maximal sum of the weights of OD center candidates falling into a disc of radius predefined in the clinical protocol is chosen for optic disc. We have worked out a weighted voting scheme, where besides the weights, a...