Searched for: subject:"Deep%5C+learning"
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Madhuanand, L. (author), Sadavarte, P. (author), Visschedijk, A.J.H. (author), Denier van der Gon, H.A.C. (author), Aben, I. (author), Osei, F.B. (author)
article 2021
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Araujo, M. (author), van Dommelen, P. (author), Koledova, E.B. (author), Srivastava, J. (author)
The problem of consistent therapy adherence is a current challenge for health informatics, and its solution can increase the success rate of treatments. Here we show a methodology to predict, at individual-level, future therapy adherence for patients receiving daily injections of growth hormone (GH) therapy for GH deficiency. Our proposed model...
article 2021
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van Gulijk, C. (author), Zaitseva, E. (author)
Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas...
book 2021
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Katsaros, E. (author), Bouma, H. (author), van Rooijen, A.L. (author), van Dusseldorp, E. (author)
Vehicle re-identification refers to the task of matching the same query vehicle across non-overlapping cameras and diverse viewpoints. Research interest on the field emerged with intelligent transportation systems and the necessity for public security maintenance. Compared to person, vehicle re-identification is more intricate, facing the...
conference paper 2020
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Boehrer, N. (author), Gabriel, A. (author), Brandt, A. (author), Uijens, W.R. (author), Kampmeijer, L. (author), van der Stap, N. (author), Schutte, K. (author)
With the latest advances in image sensor technology, cameras are able to generate video with tens of megapixels per frame. These high resolution videos streams offer great potential to be used in the surveillance domain. For ground based systems, gigapixel streams are already used with great effect as illustrated by the ICME 2019 crowd counting...
conference paper 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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de Boer, M.H.T. (author), Bouma, H. (author), Kruithof, M.C. (author), Joosten, B. (author)
Annotating a large set of images, especially with bounding boxes, is a tedious task. In this paper, we propose an intuitive image annotation tool. This tool not only allows (non-expert) users to annotate images with novel concepts, but is also able to achieve acceptable performance with a smaller number of annotated images. The tool can also...
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 der Stap, N. (author), van Opbroek, A.G. (author), Huizinga, W. (author), Wilmer, M.M.G. (author), van den Broek, S.P. (author), Pruim, R.H.R. (author), den Hollander, R.J.M. (author), Schutte, K. (author), Dijk, J. (author)
Detecting maritime targets with electro-optical sensors is an active area of research. One current trend is to automate target detection through image processing or computer vision. Automation of target detection will decrease the number of people required for lower-level tasks, which frees capacity for higher-level tasks. A second trend is that...
conference paper 2018
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Raaijmakers, S. (author), Brewster, C. (author)
conference paper 2018
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Loh, K.K.L. (author), Shoeibi Omrani, P. (author), van der Linden, R.J.P. (author)
The forecasting of gas production from mature gas wells, due to their complex end-of-life behaviour, is challenging and often associated with uncertainties (both measurements and modelling uncertainties). Yet, having good forecasts are crucial for operational decision making. In this paper, we present a purely black-box based approach, which...
conference paper 2018
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Nieuwenhuizen, R.P.J. (author), Bouwman, D.D. (author), Schutte, K. (author)
High resolution images are critical for a wide variety of military detection, recognition and identification tasks. Super-resolution reconstruction algorithms aim to enhance the image resolution beyond the capability of the imaging system being used. Until recently, undersampling of the optical signal on the image sensor has been the key factor...
conference paper 2018
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Bouma, H. (author), Joosten, B. (author), Kruithof, M.C. (author), de Boer, M.H.T. (author), Ginsca, A. (author), Labbe, B. (author), Vuong, Q.T. (author)
Due to the increasing need for effective security measures and the integration of cameras in commercial products, a huge amount of visual data is created today. Law enforcement agencies (LEAs) are inspecting images and videos to find radicalization, propaganda for terrorist organizations and illegal products on darknet markets. This is time...
conference paper 2018
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Heiligers, M.J.C. (author), Huizing, A.G. (author)
conference paper 2018
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Turkoglu, M.O. (author), ter Haar, F.B. (author), van der Stap, N. (author)
3D visual understanding of the surrounding environment is vital for successful mobile robotic tasks such as autonomous navigation or general object interaction. However, current systems have limited perceptual capabilities in the sense that they are not very well adaptable to unknown environments. Human operators, on the other hand, are experts...
conference paper 2018
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Hillerström, F.H.J. (author), Kruithof, M.C. (author), Oggero, S. (author)
The Port of Rotterdam is an important hub in international maritime supply chains. Efficient functioning of the port requires accurate planning of the processes, thus reducing waiting times and costs for all parties. Therefore, predictions should be incorporated in the planning of all logistic processes. In particular, uncertainty information is...
conference paper 2018
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Nieuwenhuizen, R.P.J. (author), Kruithof, M. (author), Schutte, K. (author)
High resolution imagery is of crucial importance for the performance on visual recognition tasks. Super-resolution (SR) reconstruction algorithms aim to enhance the image resolution beyond the capability of the image sensor being used. Traditional SR algorithms approach this inverse problem using physical models for the image formation combined...
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
Searched for: subject:"Deep%5C+learning"
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