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Konstantelos, Ioannis (author), Sun, Mingyang (author), Tindemans, Simon H. (author), Issad, Samir (author), Panciatici, Patrick (author), Strbac, Goran (author)The increasing uncertainty that surrounds electricity system operation renders security assessment a highly challenging task; the range of possible operating states expands, rendering traditional approaches based on heuristic practices and ad hoc analysis obsolete. In turn, machine learning can be used to construct surrogate models...journal article 2019
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Abdelaal, T.R.M. (author), van Unen, Vincent (author), Höllt, T. (author), Koning, Frits (author), Reinders, M.J.T. (author), Mahfouz, A.M.E.T.A. (author)Mass cytometry by time-of-flight (CyTOF) is a valuable technology for high-dimensional analysis at the single cell level. Identification of different cell populations is an important task during the data analysis. Many clustering tools can perform this task, which is essential to identify “new” cell populations in explorative experiments....journal article 2019
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Sarasua, Alvaro (author), Urbano, Julián (author), Gómez, Emilia (author)Metaphors are commonly used in interface design within Human-Computer Interaction (HCI). Interface metaphors provide users with a way to interact with the computer that resembles a known activity, giving instantaneous knowledge or intuition about how the interaction works. A widely used one in Digital Musical Instruments (DMIs) is the conductor...journal article 2019
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Bouts, Mark J.R.J. (author), van der Grond, Jeroen (author), Vernooij, Meike W. (author), Koini, Marisa (author), Schouten, T.M. (author), de Vos, Frank (author), Feis, Rogier A. (author), Lechner, Anita (author), Niessen, W.J. (author)Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diagnosis of MCI, but has only been applied within clinical cohorts. We aimed to determine the...journal article 2019
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Verbeeck, N. (author), Caprioli, Richard M. (author), Van de Plas, Raf (author)Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that can map the spatial distribution of molecules with high chemical specificity. IMS does not require prior tagging of molecular targets and is able to measure a large number of ions concurrently in a single experiment. While this makes it particularly suited...review 2019
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Bessa, M.A. (author), Głowacki, Piotr (author), Houlder, Michael (author)Designing future-proof materials goes beyond a quest for the best. The next generation of materials needs to be adaptive, multipurpose, and tunable. This is not possible by following the traditional experimentally guided trial-and-error process, as this limits the search for untapped regions of the solution space. Here, a computational data...journal article 2019
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Bijl, H.J. (author)Wind turbines are growing bigger to becomemore cost-efficient. This does increase the severity of the vibrations that are present in the turbine blades, both due to predictable effects like wind shear and tower shadow, and due to less predictable effects like turbulence and flutter. If wind turbines are to become bigger and more cost-efficient,...doctoral thesis 2018
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Tajalizadehkhoob, S. (author)In theory, hosting providers can play an important role in fighting cybercrime and misuse. This is because many online threats, be they high-profile or mundane, use online storage infrastructure maintained by hosting providers at the core of their criminal operations. <br/>However, in practice, we see large differences in the security measures...doctoral thesis 2018
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de Jong, M. (author), Mavridis, P. (author), Aroyo, Lora (author), Bozzon, A. (author), Vos, Jesse de (author), Oomen, Johan (author), Dimitrova, Antoaneta (author), Badenoch, Alec (author)In this project we explore the presence of ambiguity in textual and visual media and its influence on accurately understanding and<br/>capturing bias in news. We study this topic in the context of supporting<br/>media scholars and social scientists in their media analysis. Our focus<br/>lies on racial and gender bias as well as framing and the...conference paper 2018
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Psyllidis, A. (author), Choiri, Hendra Hadhil (author)An understanding of how people perceive attractive or unattractive places in cities is vitally important to urban planning and policy making. Given the subjective nature of human perception and the ambiguous character of attractiveness as an attribute of urban places, it is challenging to quantify and reliably assess the extent to which a place...abstract 2018
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Liu Cheng, Alexander (author)This essay promotes Artificial Intelligence (AI) via Machine Learning (ML) as a fundamental enabler of technically intelligent built-environments. It does this by detailing ML’s successful application within three deployment domains: (1) Human Activity Recognition, (2) Object as well as Facial-Identity and -Expression Recognition, and (3) Speech...journal article 2018
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Prisacaru, Alexandru (author), Palczynska, Alicja (author), Theissler, Andreas (author), Gromala, Przemyslaw (author), Han, Bongtae (author), Zhang, Kouchi (author)Recent advancements in automotive technologies, most notably autonomous driving, demand electronic systems much more complex than those realized in the past. The automotive industry has been forced to adopt advanced consumer electronics to satisfy the demand, and thus it becomes more challenging to assess system reliability while adopting the...journal article 2018
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van Gent, P. (author), Melman, T. (author), Farah, H. (author), Nes, Nicole Van (author), van Arem, B. (author)The present study aims to add to the literature on driver workload prediction using machine learning methods. The main aim is to develop workload prediction on a multi-class basis, rather than a binary high/low distinction as often found in litearature. The presented approach relies on measures that can be obtained unobtrusively in the driving...conference paper 2018
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Toward complete oral cavity cancer resection using a handheld diffuse reflectance spectroscopy probeBrouwer de Koning, Susan G. (author), Baltussen, Elisabeth J.M. (author), Karakullukcu, M. Baris (author), Dashtbozorg, Behdad (author), Smit, Laura A. (author), Dirven, Richard (author), Hendriks, B.H.W. (author), Sterenborg, Henricus J.C.M. (author), Ruers, Theo J.M. (author)This ex-vivo study evaluates the feasibility of diffuse reflectance spectroscopy (DRS) for discriminating tumor from healthy tissue, with the aim to develop a technology that can assess resection margins for the presence of tumor cells during oral cavity cancer surgery. Diffuse reflectance spectra were acquired on fresh surgical specimens...journal article 2018
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Witteveen, Annemieke (author), Nane, G.F. (author), Vliegen, Ingrid M.H. (author), Siesling, Sabine (author), IJzerman, Maarten J. (author)Purpose. For individualized follow-up, accurate prediction of locoregional recurrence (LRR) and second primary (SP) breast cancer risk is required. Current prediction models employ regression, but with large data sets, machine-learning techniques such as Bayesian Networks (BNs) may be better alternatives. In this study, logistic regression...journal article 2018
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Pezzotti, N. (author), Höllt, T. (author), van Gemert, J.C. (author), Lelieveldt, B.P.F. (author), Eisemann, E. (author), Vilanova Bartroli, A. (author)Deep neural networks are now rivaling human accuracy in several pattern recognition problems. Compared to traditional classifiers, where features are handcrafted, neural networks learn increasingly complex features directly from the data. Instead of handcrafting the features, it is now the network architecture that is manually engineered. The...journal article 2018
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Mavridis, P. (author), de Jong, M. (author), Aroyo, Lora (author), Bozzon, A. (author), Vos, Jesse de (author), Oomen, Johan (author), Dimitrova, Antoaneta (author), Badenoch, Alec (author)Bias is inevitable and inherent in any form of communication. News often appear biased to citizens with dierent political orientations, and understood dierently by news media scholars and the broader public. In this paper we advocate the need for accurate methods for bias identication in video news item, to enable rich analytics capabilities in...conference paper 2018
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Moreira Matias, L.A. (author), Farah, H. (author)Recently, cutting edge technologies to facilitate data collection have emerged on a large scale. One of the most prominent is the in-vehicle data recorder (IVDR). There are multiple ways to assign the IVDR's data to the different drivers who share the same vehicle. Irrespective of the level of sophistication, all of these technologies still...journal article 2017
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Baltussen, Elisabeth J.M. (author), Snaebjornsson, Petur (author), De Koning, Susan G.Brouwer (author), Sterenborg, Henricus J.C.M. (author), Aalbers, Arend G.J. (author), Kok, Niels (author), Beets, Geerard L. (author), Hendriks, B.H.W. (author), Kuhlmann, Koert F.D. (author), Ruers, Theo J.M. (author)Colorectal surgery is the standard treatment for patients with colorectal cancer. To overcome two of the main challenges, the circumferential resection margin and postoperative complications, real-time tissue assessment could be of great benefit during surgery. In this ex vivo study, diffuse reflectance spectroscopy (DRS) was used to...journal article 2017
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Biljecki, F. (author), Sindram, M. (author)Building datasets (e.g. footprints in OpenStreetMap and 3D city models) are becoming increasingly available worldwide. However, the thematic (attribute) aspect is not always given attention, as many of such datasets are lacking in completeness of attributes. A prominent attribute of buildings is the year of construction, which is useful for some...conference paper 2017