Searched for: subject%3A%22learning%22
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Steen, M. (author)
When we talk about ethics in relation to the design and application of technology—or more specifically, of artificial intelligence (AI)—we often refer to traditions like consequentialism, deontology, or virtue ethics. Typically, consequentialism appeals to people with technology backgrounds. It involves evaluating the plusses and minuses of...
article 2022
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Poort, J. (author), van der Waa, J. (author), Mannucci, T. (author), Shoeibi Omrani, P.S. (author)
Production optimization of oil, gas and geothermal wells suffering from unstable multiphase flow phenomena such as slugging is a challenging task due to their complexity and unpredictable dynamics. In this work, reinforcement learning which is a novel machine learning based control method was applied to find optimum well control strategies to...
conference paper 2022
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Emanuel, E.S. (author), Sijbom, R.B.L. (author), Koen, J. (author), Baas, M. (author)
Learning communities are increasingly popular to promote the development of knowledge and skills at work. Learning communities are communities in which employees and experts from different organizations co-actively learn and innovate. Despite their seemingly added value in practice, scientific research into learning communities is underdeveloped...
article 2022
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Schadd, M.P.D. (author), de Reus, N.M. (author), Uilkema, S. (author), Voogd, J.M. (author)
article 2022
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Xiao, C. (author), Lin, H.-X. (author), Leeuwenburgh, O. (author), Heemink, A. (author)
History matching can play a key role in improving geological characterization and reducing the uncertainty of reservoir model predictions. Application of reservoir history matching is restricted by the huge computational cost by amongst others the many runs of the full model. Surrogate models with a reduced complexity are therefore used to...
article 2022
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Schoonderwoerd, T.A.J. (author), van Zoelen, E.M. (author), van den Bosch, K. (author), Neerincx, M.A. (author)
The rapid advancement of technology empowered by artificial intelligence is believed to intensify the collaboration between humans and AI as team partners. Successful collaboration requires partners to learn about each other and about the task. This human-AI co-learning can be achieved by presenting situations that enable partners to share...
article 2022
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de Boer, M.H.T. (author), Vethman, S. (author), Bakker, R.M. (author), Adhikari, A. (author), Marcus, M.J.H. (author), de Greeff, J. (author), van der Waa1, J. (author), Schoonderwoerd, T.A.J. (author), Tolios, I. (author), van Zoelen, E.M. (author), Hillerström, F.H.J. (author), Kamphorst, B.J. (author)
conference paper 2022
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Vijn, A. (author), Peet, B.J. (author), Schaaphok, M. (author), Lepelaars, E. (author), Heemink, A. (author)
This paper presents a hybrid model to estimate the magnetic behaviour of a ferromagnetic structure. The mathematical-physical model has been developed using the Method of Moments combined with a hysteresis model. The mathematical model was derived by a linearisation of the hysteresis curve. The initial magnetic state of a ferromagnetic object is...
article 2022
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Booij, T.M. (author), Chiscop, I. (author), Meeuwissen, E. (author), Moustafa, N. (author), Hartog, F.T.H.D. (author)
article 2022
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Oosterman, D.T. (author), Langenkamp, W.H. (author), van Bergen, E.L. (author)
In this paper we describe our initial findings on a method for improving anomaly detection on a dataset with scarcely labeled data, based on an ongoing use-case with the Belgian Customs Administration (BCA). Data on shipping containers is used to predict the level of risk associated with a shipment, as well as the probability that the shipment...
conference paper 2022
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Schouten, D.G.M. (author), Deneka, A.A. (author), Theune, M. (author), Neerincx, M.A. (author), Cremers, A.H.M. (author)
People of low literacy could benefit from automated support when learning about societal participation. We design an Embodied Conversational Agent (ECA) ‘coach’ that can provide effective learning support to low-literate learners, develop a prototype virtual learning environment, and evaluate this prototype with low-literate end users. First, we...
article 2022
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Neumann, N.M.P. (author), Wezeman, R.S. (author)
Quantum computers can solve specific complex tasks for which no reasonable-time classical algorithm is known. Quantum computers do however also offer inherent security of data, as measurements destroy quantum states. Using shared entangled states, multiple parties can collaborate and securely compute quantum algorithms. In this paper we propose...
conference paper 2022
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Spataru, A. (author), van Dommelen, P. (author), Arnaud, L. (author), Le Masne, Q. (author), Quarteroni, S. (author), Koledova, E.B. (author)
Background. Our aim was to develop a machine learning model, using real-world data captured from a connected auto-injector device and from early indicators from the first 3 months of treatment, to predict sub-optimal adherence to recombinant human growth hormone (r-hGH) in patients with growth disorders. Methods. Adherence to r-hGH treatment was...
article 2022
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Detz, R.J. (author), van der Zwaan, B. (author)
Successful deployment of renewable fuel production requires substantial cost reduction along the entire value chain of the underlying manufacturing routes. To improve their performance, renewable fuel pro duction technologies should follow a cost-reducing learning curve. In this article, we adopt recent evi dence that learning-by-doing is...
article 2022
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Burghouts, G.J. (author), Kruithof, M.C. (author), Huizinga, W. (author), Schutte, K. (author)
Learning object detection models with a few labels, is possible due to ingenious few-shot techniques, and due to clever selection of images to be labeled. Few-shot techniques work with as few as 1 to 10 randomized labels per object class. We are curious if performance of randomized label selection can be improved by selecting 1 to 10 labels per...
conference paper 2022
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Kupper, F. (author), Mentink, P. (author), Avramis, N. (author), Meima, N. (author), Lazovik, E. (author), Wilkins, S. (author), Willems, F. (author)
Self-learning energy management is a promising concept, which optimizes real-world system performance by automated, on-line adaptation of control settings. In this work, the potential of self-learning capabilities related to optimization is studied for energy management in Plug-in Hybrid Electric Vehicles (PHEV). These vehicles are of great...
conference paper 2022
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van der Boon, M. (author), Fermoselle, L. (author), ter Haar, F. (author), Dijkstra-Soudarissanane, S. (author), Niamut, O. (author)
conference paper 2022
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Faber, G. (author), Ruttinger, A. (author), Strunge, T. (author), Langhorst, T. (author), van der Hulst, M.K. (author), Bensebaa, F. (author), Moni, S. (author), Tao, L. (author)
Comparisons of emerging carbon capture and utilization (CCU) technologies with equivalent incumbent technologies are necessary to support technology developers and to help policy-makers design appropriate long-term incentives to mitigate climate change through the deployment of CCU. In particular, early-stage CCU technologies must prove their...
article 2022
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Selberherr, E. (author), Grau, J.H. (author), Meixner, M. (author), Liere, K. (author), Ercolini, D. (author), de Filippo, C. (author), Caderni, G. (author), Brigidi, P. (author), Turroni, S. (author)
The core microbiome, which refers to a set of consistent microbial features across populations, is of major interest in microbiome research and has been addressed by numerous studies. Understanding the core microbiome can help identify elements that lead to dysbiosis, and lead to treatments for microbiome-related health states. However, defining...
article 2022
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Hooimeijer, B. (author), Geilen, M. (author), Groote, J. (author), Hendriks, D. (author), Schiffelers, R. (author)
Model learning, learning a state machine from software, can be an effective model-based engineering technique, especially to understand legacy software. However, so far the applicability is limited as models that can be learned are quite small, often insufficient to represent the software behavior of large industrial systems. We introduce a...
conference paper 2022
Searched for: subject%3A%22learning%22
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