Searched for: subject%3A%22Artificial%255C%2BIntelligent%22
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van der Waa, J. (author), van Diggelen, J. (author), Neerincx, M. (author), Raaijmakers, S. (author)
End-users of machine learning-based systems benefit from measures that quantify the trustworthiness of the underlying models. Measures like accuracy provide for a general sense of model performance, but offer no detailed information on specific model outputs. Probabilistic outputs, on the other hand, express such details, but they are not...
conference paper 2018
document
Taneja, K. (author)
Technologie ontwikkelt zich snel. Dit biedt zowel kansen als bedreigingen voor de Nederlandse overheid en veiligheidsorganisaties. Juist vanwege de breedte en snelheid van de ontwikkelingen is samenwerking cruciaal. Door kennis, ervaring en middelen te bundelen vergroot de overheid het rendement van haar research and development-inspanningen....
other 2018
document
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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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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van Leeuwen, C.J. (author), Pawełczak, P. (author)
We propose a novel incomplete cooperative algorithm for distributed constraint optimization problems (DCOPs) denoted as Cooperative Constraint Approximation (CoCoA). The key strategy of the algorithm is to use a semi-greedy approach in which knowledge is distributed amongst neighboring agents, and assigning a value only once instead of an...
conference paper 2017
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Stroet, C.T. (author), Zwaan, J. (author), de Jager, G. (author), Montijn, R. (author), Schuren, F. (author)
conference paper 2017
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Burger, F. (author), Broekens, J. (author), Neerincx, M.A. (author)
A key challenge in developing companion agents for children is keeping them interested after novelty effects wear off. Self Determination Theory posits that motivation is sustained if the human feels related to another human. According to Social Penetration Theory, relatedness can be established through the reciprocal disclosure of information...
conference paper 2017
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Willems, F.P.T. (author)
public lecture 2017
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Satsangi, Y. (author), Whiteson, S. (author), Oliehoek, F.A. (author), Bouma, H. (author)
Automated tracking is key to many computer vision applications. However, many tracking systems struggle to perform in real-time due to the high computational cost of detecting people, especially in ultra high resolution images. We propose a new algorithm called PartiMax that greatly reduces this cost by applying the person detector only to the...
conference paper 2017
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MacDougall, P. (author), Ran, B. (author), Huitema, G.B. (author), Deconinck, G. (author)
conference paper 2017
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Tuma, M. (author), Rorbech, V. (author), Prior, M. (author), Igel, C. (author)
We designed and jointly optimized an integrated signal processing chain for detection and classification of long-range passive-acoustic underwater signals recorded by the global geophysical monitoring network of the Comprehensive Nuclear-Test-Ban Treaty Organization. Starting at the level of raw waveform data, a processing chain of signal...
article 2016
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Eckartz, S. (author), van den Broek, T. (author), Ooms, M. (author)
Innovation based on open data lags behind the high expectations of policy makers. Hence, open data researchers have investigated the barriers of open data publication and adoption. This paper contributes to this literature by taking a capabilities perspective on how successful open data re-users create value out of the available data sources....
conference paper 2016
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de Gelder, E. (author), Cara, I. (author), Uittenbogaard, J. (author), Kroon, L. (author), van Iersel, S. (author), Hogema, J. (author)
More and more Advanced Driver Assistance Systems (ADASs) are entering the market for improving both safety and comfort. Adaptive Cruise Control (ACC) is an ADAS application that has high interaction with the driver. ACC systems use limited sensor input and have only few configuration possibilities. This may result in the behaviour of the ACC not...
conference paper 2016
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Sappelli, M. (author), Pasi, G. (author), Verberne, S. (author), de Boer, M. (author), Kraaij, W. (author)
In this paper, we analyze corporate e-mail messages as a medium to convey work tasks. Research indicates that categorization of e-mail could alleviate the common problem of information overload. Although e-mail clients provide possibilities of e-mail categorization, not many users spend effort on proper e-mail management. Since e-mail clients...
article 2016
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van Leeuwen, C.J. (author), van Huis, J.R. (author), Baan, J. (author)
Wide Area Motion Imagery (WAMI) enables image based surveillance of areas that can cover multiple square kilometers. Interpreting and analyzing information from such sources, becomes increasingly time consuming as more data is added from newly developed methods for information extraction. Captured from a moving Unmanned Aerial Vehicle (UAV), the...
conference paper 2016
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Macdougall, P. (author), Kosek, A.M. (author), Bindner, H. (author), Deconinck, G. (author)
conference paper 2016
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Burggraaf, J. (author), Groeneweg, J. (author)
Incident investigation and analysis are crucially important parts of the learning from incidents process. They are also highly complex tasks, especially analyzing information to relate "effects" to "causes." It requires the processing and judgment of vast amounts of information under often demanding circumstances like time pressure and lack of...
conference paper 2016
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Groeneweg, J. (author), ter Mors, E. (author)
Risk-taking behavior is an important contributing human factor to incidents and notoriously difficult to influence. A basic premise of approaches to improving safety by putting in extra levels of protection (e.g. the Swiss cheese model) is that providing information on the number of layers in place does not influence the risk-taking behavior of...
conference paper 2016
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Muller, C. (author), Maldonado, A.G. (author), Varnek, A. (author), Creton, B. (author)
Each oil reservoir could be characterized by a set of parameters such as temperature, pressure, oil composition, and brine salinity, etc. In the context of the chemical enhanced oil recovery (EOR), the selection of high performance surfactants is a challenging and time-consuming task since this strongly depends on the reservoir's conditions. The...
article 2015
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Giele, T.R.A. (author), Mioch, T. (author), Neerincx, M.A. (author), Meyer, J.J.C. (author)
Artificial agents, such as robots, are increasingly deployed for teamwork in dynamic, high-demand environments. This paper presents a framework, which applies context information to establish task (re)allocations that improve human-robot team’s performance. Based on the framework, a model for adaptive automation was designed that takes the...
conference paper 2015
Searched for: subject%3A%22Artificial%255C%2BIntelligent%22
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