Browsing Τμήμα Πληροφορικής / Department of Computer Science by Title
Now showing items 1031-1050 of 1952
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Language usage analysis for EMF metamodels on GitHub
(Springer, 2023-12)Context: EMF metamodels lie at the heart of model-based approaches for a variety of tasks, notably for defining the abstract syntax of modeling languages. The language design of EMF metamodels itself is part of a design ...
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Conference Object
A Large-scale Analysis of Content Modification by Open HTTP Proxies
(2018)Open HTTP proxies offer a quick and convenient solution for routing web traffic towards a destination. In contrast to more elaborate relaying systems, such as anonymity networks or VPN services, users can freely connect ...
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Conference Object
A latency-based object placement approach in content distribution networks
(2005)Content Distribution Networks (CDNs) are increasingly being used to disseminate data in today's Internet. The growing interest in CDNs is motivated by a common problem across disciplines: how does one reduce the load on ...
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Conference Object
Layered strategies and protocols for argumentation-based agent interaction
(2005)Communication between agents needs to be flexible enough to encompass together a variety of different aspects such as, conformance to society protocols, private tactics of the individual agents, strategies that reflect ...
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Conference Object
LDPC decoding on the Intel SCC
(2012)Low-Density Parity-Check (LDPC) codes are powerful error correcting codes used today in communication standards such as DVB-S2 and WiMAX to transmit data inside noisy channels with high error probability. LDPC decoding is ...
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Learning from the current status of agile adoption
(2015)Software processes have evolved significantly since the first formal appearance of software engineering. The academia and the industry have introduced, embraced or rejected various methodologies that are more or less ...
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Learning multiple predicates
(1998)We present an approach for solving some of the problems of top-down Inductive Logic Programming systems when learning multiple predicates. The approach is based on an algorithm for learning abductive logic programs. Abduction ...
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Learning non-monotonic logic programs: Learning exceptions
(1995)In this paper we present a framework for learning non-monotonic logic programs. The method is parametric on a classical learning algorithm whose generated rules are to be understood as default rules. This means that these ...
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Learning optimisation by high firing irregularity
(2012)In a network of leaky integrate-and-fire (LIF) neurons, we investigate the functional role of irregular spiking at high rates. Irregular spiking is produced by either employing the partial somatic reset mechanism on every ...
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Learning systems in biosignal analysis
(1997)In biosignal analysis, the utility of artificial neural networks (ANN) in classifying electromyographic (EMG) data trained with the momentum back propagation algorithm has recently been demonstrated. In the current study, ...
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Learning through multi-touch interfaces in museum exhibits: An empirical investigation
(2013)Interactive technologies are employed in museums to enhance the visitors' experience and help them learn in more authentic ways. Great amounts of time and money and many man-hours of hard work have been spent. But do such ...
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Learning with abduction
(1997)We investigate how abduction and induction can be integrated into a common learning framework through the notion of Abductive Concept Learning (ACL). ACL is an extension of Inductive Logic Programming (ILP) to the case in ...
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Conference Object
Lessons learned from online social networking of physical things
(2011)Social networking is a core part of the global online experience. The Web 2.0 has been transformed into a social Web, extending the social capabilities of users. A big challenge for the Web is to become ubiquitous, blended ...
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Conference Object
Leveraging CPU Electromagnetic Emanations for Voltage Noise Characterization
(2018)Worst-case dI/dt voltage noise is typically characterized post-silicon using direct voltage measurements through either on-package measurement points or on-chip dedicated circuitry. These approaches consume expensive pad ...
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Lightweight, self-tuning data dissemination for dense nanonetworks
(2015)A nanonetwork comprises a high number of autonomous nodes with wireless connectivity, assembled at micro-to-nanoscale. In general, manufacturing and cost considerations imply that nanonetworking approaches should have ...