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Πλοήγηση ανά Συγγραφέα "Hilas, Constantinos S."
Αποτελέσματα 1-14 από 14
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Hilas, Constantinos S.; Mastorocostas, Paris A. (2008-10)This paper investigates the usefulness of applying different learning approaches to a problem of telecommunications fraud detection. Five different user models are compared by means of both supervised and unsupervised ...
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Mastorocostas, Paris A.; Hilas, Constantinos S. (2009-10-01)A recurrent fuzzy neural network with internal feedback is suggested in this paper. The network is entitled dynamic block-diagonal fuzzy neural network (DBD-FNN), and constitutes a generalized Takagi-Sugeno-Kang fuzzy ...
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Mastorocostas, Paris A.; Hilas, Constantinos S. (2009-10)A recurrent fuzzy neural network with internal feedback is suggested in this paper. The network is entitled dynamic block-diagonal fuzzy neural network (DBD-FNN), and constitutes a generalized Takagi-Sugeno-Kang fuzzy ...
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Hilas, Constantinos S.; Rekanos, Ioannis T.; Mastorocostas, Paris Ast. (2013)Changes in the level of a time series are usually attributed to an intervention that affects its temporal evolution. The resulting time series are referred to as interrupted time series and may be used to identify the ...
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Hilas, Constantinos S.; Mastorocostas, Paris A.; Rekanos, Ioannis T. (2015-07-01)A user’s transactions with modern networks and services produce a vast amount of user related data. The byproduct of every phone call a person makes or every web page one visits is translated into a log record with usage ...
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Hilas, Constantinos S. (2009-11)Telecommunications fraud not only burdens telecom provider’s accountings but burdens individual users as well. The latter are particularly affected in the case of superimposed fraud where the fraudster uses a legitimate ...
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Hilas, Constantinos S.; Kazarlis, Spyridon A.; Rekanos, Ioannis T.; Mastorocostas, Paris A. (2014-03)Telecommunications fraud has drawn the researchers’ attention due to the huge economic burden on companies and to the interesting aspect of users’ behavior modeling. In the present paper, an application of genetic ...
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Motivating students’ participation in a computer networks course by means of magic, drama and games Hilas, Constantinos S.; Politis, Anastasios (2014)The recent economic crisis has forced many universities to cut down expenses by packing students into large lecture groups. The problem with large auditoria is that they discourage dialogue between students and faculty ...
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Mastorocostas, Paris A.; Varsamis, Dimitris N.; Mastorocostas, Constantinos A.; Hilas, Constantinos S. (2006)This paper presents a dynamic neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by use of the Block-Diagonal Recurrent Neural Network. ...
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Mastorocostas, Paris A.; Hilas, Constantinos S. (2012-01-21)In this work, a dynamic neurofuzzy system for forecasting outgoing telephone calls in a University Campus is proposed. The system comprises modified Takagi–Sugeno–Kang fuzzy rules, where the rules’ consequent parts are ...
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Mastorocostas, Paris A.; Hilas, Constantinos S. (2014)An application of fuzzy modeling to the problem of telecommunications time-series prediction is proposed in this paper. The model building process is a two-stage sequential algorithm, based on Subtractive Clustering (SC) ...
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Hilas, Constantinos S.; Goudos, Sotirios K.; Sahalos, John N. (2006-06)In this paper, forecasting models for the monthly outgoing telephone calls in a University Campus are presented. The data have been separated in the categories of international and national calls as well as calls to mobile ...
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Mastorocostas, Paris A.; Hilas, Constantinos S. (2011-05)In this work a dynamic neuro-fuzzy network (DyNF-Net) is proposed, which is applied on the outgoing telephone traffic of a large organization. It is a modified Takagi-Sugeno-Kang fuzzy neural network, where the consequent ...
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Hilas, Constantinos S.; Sahalos, John N. (2005)Telecommunications fraud is increasing dramatically each year resulting in loss of a large amount of euros worldwide. A statistical machine learning method is presented that constructs user profiles for the detection ...
Αποτελέσματα 1-14 από 14
