Searched for: subject%3A%222016%255C%2BICT%22
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Lu, Y.J. (author), Zhang, H. (author), Ngo, C.W. (author), de Boer, M. (author), Schavemaker, J. (author), Schutte, K. (author), Kraaij, W. (author)
0-Shot System - The simple exact matching performs the best - The quality of concepts selected to represent an event is more important than quantity - It's an open problem of how to harness the ontology-based mapping MER System - In key evidence localization, we emphasize the event relevancy first, then the hot concepts - We recommend three...
conference paper 2020
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Hu, J. (author), Yang, G. (author), Ziras, C. (author), Kok, K. (author)
The future renewable-based power system will have an increased need for balancing power. Prosumers, having both generation and consumption capabilities, are expected to provide balancing power to the grid, if their flexibility can be appropriately managed. Meanwhile, undesirable line congestions and voltage violations may arise in the...
article 2019
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Veugen, P.J.M. (author)
other 2018
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Pertl, M. (author), Douglass, P.J. (author), Heussen, K. (author), Kok, J.K. (author)
The installation of measurements in distribution grids enables the development of data driven methods for the power system. However, these methods have to be validated in order to understand the limitations and capabilities for their use. This paper presents a systematic validation of a neural network approach for voltage estimation in active...
article 2018
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Zuraniewski, P.W. (author), van Adrichem, N.L.M. (author), Ravesteijn, D. (author), IJntema, W. (author), Papadopoulos, C. (author), Fan, C. (author)
Named-Data Networking (NDN) is proposed as an approach to evolve the Internet infrastructure from a host- to an informationcentric (ICN) approach, which is better suited to the current usage of the Internet. However, the deployment of a global NDN-based Internet is still a long way out of reach. The most likely scenario for a global NDN network...
conference paper 2017
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Tretmans, J. (author)
Model-based testing is one of the promising technologies to increase the efficiency and effectiveness of software testing. This paper outlines the evolution of model-based testing based on labelled transition systems, from purely theoretical developments in the eighties to industrially applicable tools now: from canonical testers to practical...
conference paper 2017
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de Kievit, S. (author), Smulders, A.C.M. (author)
article 2017
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MacDougall, P. (author), Ran, B. (author), Huitema, G.B. (author), Deconinck, G. (author)
With the growth of renewable generated electricity in the energy mix, large energy storage and flexible demand, particularly aggregated demand response is becoming a front runner as a new participant in the wholesale energy markets. One of the biggest barriers for the integration of aggregator services into market participation is knowledge of...
article 2017
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Vonder, M.R. (author)
public lecture 2017
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de Boer, M. (author), Nouwt, B. (author), van Bekkum, M. (author)
Big Data Applications (BDAs) are used to support a decision making process, but their developers and users are often unaware of the exact uncertainties that underlie the output of BDAs. In this paper we present a System for Uncertainty Decision Support (SUDS) as a generic plug-in for BDAs that aims to give both developers and users more insight...
conference paper 2017
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Vos, T.J.C. (author), Phillipson, F. (author)
conference paper 2017
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Donaldson, A.F. (author), Ketema, J. (author), Sorensen, T. (author), Wickerson, J. (author)
The tutorial at CONCUR will provide a practical overview of work undertaken over the last six years in the Multicore Programming Group at Imperial College London, and with collaborators internationally, related to understanding and reasoning about concurrency in software designed for acceleration on GPUs. In this article we provide an overview...
conference paper 2017
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Raaijmakers, S.A. (author), Sappelli, M. (author), Kraaij, W. (author)
In this short paper, we address the interpretability of hidden layer representations in deep text mining: deep neural networks applied to text mining tasks. Following earlierwork predating deep learning methods, we exploit the internal neural network activation (latent) space as a source for performing k-nearest neighbor search, looking for...
conference paper 2017
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Koning, R. (author), Deljoo, A. (author), Trajanovski, S. (author), De Graaff, B. (author), Grosso, P. (author), Gommans, L. (author), van Engers, T. (author), Fransen, F. (author), Meijer, R.J. (author), Wilson, R. (author), De Laat, C. (author)
conference paper 2017
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Global Forum on Cyber Expertise (GFCE) (author)
conference paper 2017
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de Boer, M.H. (author), Oggero, S. (author), van Bekkum, M.A. (author), Bomhof, F.W. (author), Hillerström, F.H.J. (author), Knegjens, R.J. (author), Kruithof, M.C. (author), Neumann, N.M.P. (author), Dijk, J. (author)
conference paper 2017
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de Boer, M.H.T. (author), Lu, Y.J. (author), Zhang, H. (author), Schutte, K. (author), Ngo, C.W. (author), Kraaij, W. (author)
Searching in digital video data for high-level events, such as a parade or a car accident, is challenging when the query is textual and lacks visual example images or videos. Current research in deep neural networks is highly beneficial for the retrieval of high-level events using visual examples, but without examples it is still hard to (1)...
article 2017
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Zhao, Z. (author), Karimzadeh, M. (author), Braun, T. (author), Pras, A. (author), van den Berg, J.L. (author)
Network Function Virtualization involves implementing network functions (e.g., virtualized LTE component) in software that can run on a range of industry standard server hardware, and can be migrated or instantiated on demand. A prediction service hosted on cloud infrastructures enables consumers to request the prediction information on-demand...
conference paper 2017
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de Juncker, M.A.M. (author), Huizing, D. (author), del Vecchyo, M.R.O. (author), Phillipson, F. (author), Sangers, A. (author)
Problem statements and solution methods in mathematical synchromodal transportation problems depend greatly on a set of model choices for which no rule of thumb exists. In this paper, a framework is introduced with which the model choices in synchromodal transportation problems can be classified, based on literature. This framework should help...
conference paper 2017
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de Boer, M.H.T. (author), Bouma, H. (author), Kruithof, M.C. (author), ter Haar, F.B. (author), Fischer, N.M. (author), Hagendoorn, L.K. (author), Joosten, B. (author), Raaijmakers, S. (author)
The information available on-line and off-line, from open as well as from private sources, is growing at an exponential rate and places an increasing demand on the limited resources of Law Enforcement Agencies (LEAs). The absence of appropriate tools and techniques to collect, process, and analyze the volumes of complex and heterogeneous data...
conference paper 2017
Searched for: subject%3A%222016%255C%2BICT%22
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