Searched for: subject:"Learning%5C+systems"
(1 - 20 of 44)

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Arora, A. (author), Dimitrovski, T. (author), Litjens, R. (author), Zhang, H. (author)
conference paper 2021
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Pasma, W. (author), Wesselink, E.M. (author), van Buuren, S. (author), de Graaff, J.C. (author), van Klei, W.A. (author)
Physiologic data from anesthesia monitors are automatically captured. Yet erroneous data are stored in the process as well. While this is not interfering with clinical care, research can be affected. Researchers should find ways to remove artifacts. The aim of the present study was to compare different artifact annotation strategies, and to...
article 2020
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den Hollander, R.J.M. (author), Adhikari, A. (author), Tolios, I. (author), van Bekkum, M. (author), Bal, A. (author), Hendriks, S. (author), Kruithof, M.C. (author), Gross, D. (author), Jansen, N. (author), Perez, G. (author), Buurman, K. (author), Raaijmakers, S.A. (author)
conference paper 2020
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Pruim, R.H.R. (author), van Opbroek, A. (author), Kruithof, M.C. (author), den Hollander, R.J.M. (author), Baan, J. (author), van den Broek, S.P. (author), van der Stap, N. (author), Dijk, J. (author)
Automatic detection and tracking of maritime targets in imagery can greatly increase situation awareness on naval vessels. Various methods for detection and tracking have been proposed so far, both for reasoning as well as for learning approaches. Learning approaches have the promise to outperform reasoning approaches. They typically detect...
conference paper 2019
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Zonta, A. (author), Smit, S.K. (author), Haasdijk, E. (author), Eiben, A.E. (author)
Modelling human behaviour is still an ongoing challenge that spaces between several fields like social science, artificial intelligence, and philosophy. Since the research of a metric able to define all the aspect of the human nature is still an ambitious task, most current studies use concepts like social forces or handwritten rules for...
conference paper 2019
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Ilse, M. (author), Tomczak, J.M. (author), Louizos, C. (author), Welling, M. (author)
We consider the problem of domain generalization, namely, how to learn representations given data from a set of domains that generalize to data from a previously unseen domain. We propose the domain invariant VAE (DIVA), a generative model that tackles this problem by learning three independent latent subspaces, one for the class, one for the...
conference paper 2019
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Wilschut, E.S. (author), van Rhijn, G.J.W. (author), Konemann, R. (author), Bosch, T. (author), Murphy, M.S. (author)
Augmented Reality (AR) as an assistive technology is a promising tool for novice operators to learn assembly processes. This experiment compared an AR instruction method to display based electronic working instructions (EWI) for product assembly, to assess learning during the first repetitions of the products. In addition, two types of work...
conference paper 2019
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Shoeibi Omrani, P. (author), Dobrovolschi, I. (author), Belfroid, S.P.C. (author), Kronberger, P. (author), Munoz, E. (author)
In this study we have investigated a fully data-driven approach (artificial neural networks) for real-time back-allocation and virtual flow metering in oil and gas production wells. The main goal of this study is to develop computationally efficient data-driven models to determine the multiphase production rates of individual phases (gas and...
conference paper 2019
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Shoeibi Omrani, P.S. (author), Vecchia, A.L. (author), Dobrovolschi, I. (author), van Baalen, T. (author), Poort, J.P. (author), Octaviano, R. (author), Binn-Tahir, H. (author), Muñoz, E. (author)
Reliable forecasting of production rates from mature hydrocarbon fields is crucial both in optimizing their operation (via short-term forecasts) and in making reliable reserves estimations (via long-term forecasts). Several approaches may be employed for production forecasting from the industry standard decline curve analysis, to new...
conference paper 2019
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van den Bosch, K. (author), Schoonderwoerd, T.A.J. (author), Blankendaal, R.A.M. (author), Neerincx, M.A. (author)
The increasing use of ever-smarter AI-technology is changing the way individuals and teams learn and perform their tasks. In hybrid teams, people collaborate with artificially intelligent partners. To utilize the different strengths and weaknesses of human and artificial intelligence, a hybrid team should be designed upon the principles that...
conference paper 2019
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Schouten, D.G.M. (author), Venneker, F. (author), Bosse, T. (author), Neerincx, M.A. (author), Cremers, A.H.M. (author)
In this study, we investigate if a digital coach for low-literate learners that provides cognitive learning support based on scaffolding can be improved by adding affective learning support based on motivational interviewing, and social learning support based on small talk. Several knowledge gaps are identified: motivational interviewing and...
article 2018
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Remmen, F. (author), Cara, I. (author), de Gelder, E. (author), Willemsen, D.M.C. (author)
Truck platooning is gaining more and more interest thanks to the benefits on improved traffic efficiency, reduced fuel consumption and emissions. To gain these benefits, it typically involves small following distances . Due to the small following distances, the cut-in manoeuvre of target vehicles becomes safety critical and requires the...
conference paper 2018
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Neumann, N.M.P. (author), Knegjens, R. (author), Den Hollander, R. (author), Oggero, S. (author), Burghouts, G.J. (author), Van Den Broek, S.P. (author)
Algorithms for the detection and tracking of objects can be combined into a system that automatically extracts relevant events from a large amount of video data. Such a system , can be particularly useful in video surveillance applications, notably to support analysts in retrieving information from hours of video while working under strict time...
conference paper 2018
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Neerincx, M.A. (author), van der Waa, J. (author), Kaptein, F. (author), van Diggelen, J. (author)
conference paper 2018
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van der Waa, J.S. (author), van Diggelen, J. (author), Neerincx, M.A. (author)
Explainable AI becomes increasingly important as the use of intelligent systems becomes more widespread in high-risk domains. In these domains it is important that the user knows to which degree the system’s decisions can be trusted. To facilitate this, we present the Intuitive Confidence Measure (ICM): A lazy learning meta-model that can...
conference paper 2018
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Bowman, E.K. (author), Burghouts, G. (author), Overlier, L. (author), Kase, S.E. (author), Zimmerman, R.J. (author), Oggero, S. (author)
The US and nations of the NATO Alliance are increasingly threatened by the global spread of terrorism, humanitarian crises/disaster response, and public health emergencies. These threats are influenced by the unprecedented rise of information sharing technologies and practices, where mobile access to social networking sites is ubiquitous. In...
conference paper 2018
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MacDougall, P. (author), Ran, B. (author), Huitema, G.B. (author), Deconinck, G. (author)
conference paper 2018
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Koldijk, S. (author), Neerincx, M.A. (author), Kraaij, W. (author)
Employees often report the experience of stress at work. In the SWELL project we investigate how new context aware pervasive systems can support knowledge workers to diminish stress. The focus of this paper is on developing automatic classifiers to infer working conditions and stress related mental states from a multimodal set of sensor data ...
article 2018
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Louizos, C. (author), Welling, M. (author)
We reinterpret multiplicative noise in neural networks as auxiliary random variables that augment the approximate posterior in a variational setting for Bayesian neural networks. We show that through this interpretation it is both efficient and straightforward to improve the approximation by employing normalizing flows (Rezende & Mohamed, 2015)...
conference paper 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
Searched for: subject:"Learning%5C+systems"
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