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Yin, Zhao (author), Geraedts, Victor Jacobus (author), Wang, Z. (author), Contarino, Maria Fiorella (author), Dibeklioglu, H. (author), van Gemert, J.C. (author)Parkinson's disease (PD) diagnosis is based on clinical criteria, i.e., bradykinesia, rest tremor, rigidity, etc. Assessment of the severity of PD symptoms with clinical rating scales, however, is subject to inter-rater variability. In this paper, we propose a deep learning based automatic PD diagnosis method using videos to assist the...journal article 2022
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He, Daojing (author), Du, Runmeng (author), Zhu, Shanshan (author), Zhang, Min (author), Liang, K. (author), Chan, Sammy (author)Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on a large amount of scattered data owned by different data providers. This article presents a parallel solution for computing logistic regression based on...journal article 2022
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Zou, L. (author), Zhan, Xiu xiu (author), Sun, Jie (author), Hanjalic, A. (author), Wang, H. (author)Temporal networks refer to networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast the epidemics. Existing prediction methods are either relatively accurate but black-box, or white-box but less accurate. The lack of interpretable and accurate prediction methods...journal article 2022
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Stölzle, Maximilian (author), Miki, Takahiro (author), Gerdes, Levin (author), Azkarate, Martin (author), Hutter, Marco (author)Accurate and complete terrain maps enhance the awareness of autonomous robots and enable safe and optimal path planning. Rocks and topography often create occlusions and lead to missing elevation information in the Digital Elevation Map (DEM). Currently, these occluded areas are either fully avoided during motion planning or the missing...journal article 2022
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Akhtar, Syed Adnan (author), Sharifi K., Arman (author), Mohajerin Esfahani, P. (author)We present a learning method to learn the mapping from an input space to an action space, which is particularly suitable when the action is an optimal decision with respect to a certain unknown cost function. We use an inverse optimization approach to retrieve the cost function by introducing a new loss function and a new hypothesis class of...journal article 2022
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Beuling, M.G. (author), van Riet, T.C.T. (author), van Frankenhuyzen, J. (author), van Antwerpen, R. (author), de Blocq van Scheltinga, S. (author), Dourleijn, A.H.H. (author), Ireiz, D. (author), Streefkerk, S. (author), van Zanten, J.C. (author), de Lange, Jan (author), Kober, J. (author), Dodou, D. (author)The need for a training modality for tooth extraction procedures is increasing, as dental students do not feel properly trained. In this study, a prototype of a training setup is designed, in which extraction procedures can be performed on jaw models and cadaveric jaws. The prototype was designed in a way that it can give real-time feedback on...conference paper 2022
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Van Damme, Nathan (author), Ratz, Raphael (author), Marchal Crespo, L. (author)Sensorimotor impairments of the hand after stroke can drastically reduce the ability to perform activities of daily living. Recently, there has been an increased interest in minimally supervised and unsupervised rehabilitation to increase therapy dosage and to complement conventional therapy. Several devices have been developed that are...conference paper 2022
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Bertipaglia, A. (author), Shyrokau, B. (author), Alirezaei, Mohsen (author), Happee, R. (author)This paper presents a novel methodology to auto-tune an Unscented Kalman Filter (UKF). It involves using a Two-Stage Bayesian Optimisation (TSBO), based on a t-Student Process to optimise the process noise parameters of a UKF for vehicle sideslip angle estimation. Our method minimises performance metrics, given by the average sum of the states’...conference paper 2022
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Dai, Pengwen (author), Li, Y. (author), Zhang, Hua (author), Li, Jingzhi (author), Cao, Xiaochun (author)Scene text detection has attracted increasing concerns with the rapid development of deep neural networks in recent years. However, existing scene text detectors may overfit on the public datasets due to the limited training data, or generate inaccurate localization for arbitrary-shape scene texts. This paper presents an arbitrary-shape scene...journal article 2021
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Yousefi, Sahar (author), Sokooti, Hessam (author), Elmahdy, Mohamed S. (author), Lips, Irene M. (author), Shalmani, Mohammad T.Manzuri (author), Zinkstok, Roel T. (author), Dankers, Frank J.W.M. (author), Staring, M. (author)Manual or automatic delineation of the esophageal tumor in CT images is known to be very challenging. This is due to the low contrast between the tumor and adjacent tissues, the anatomical variation of the esophagus, as well as the occasional presence of foreign bodies (e.g. feeding tubes). Physicians therefore usually exploit additional...journal article 2021
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Derner, Erik (author), Kubalik, Jiri (author), Babuska, R. (author)Continual model learning for nonlinear dynamic systems, such as autonomous robots, presents several challenges. First, it tends to be computationally expensive as the amount of data collected by the robot quickly grows in time. Second, the model accuracy is impaired when data from repetitive motions prevail in the training set and outweigh...journal article 2021
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Zhou, Zixia (author), Zu, Xinrui (author), Wang, Yuanyuan (author), Lelieveldt, Boudewijn P.F. (author), Tao, Q. (author)Embedding high-dimensional data onto a low-dimensional manifold is of both theoretical and practical value. In this article, we propose to combine deep neural networks (DNN) with mathematics-guided embedding rules for high-dimensional data embedding. We introduce a generic deep embedding network (DEN) framework, which is able to learn a...journal article 2021
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Basalp, Ekin (author), Wolf, Peter (author), Marchal Crespo, L. (author)The use of robots has attracted researchers to design numerous haptic training methods to support motor learning. However, investigations of new methods yielded inconclusive results regarding their effectiveness to enhance learning due to the diversity of tasks, haptic designs, participants skill level, and study protocols. In this review, we...review 2021
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Zhang, Rongkai (author), Zhu, Jiang (author), Zha, Zhiyuan (author), Dauwels, J.H.G. (author), Wen, Bihan (author)State-of-the-art image denoisers exploit various types of deep neural networks via deterministic training. Alternatively, very recent works utilize deep reinforcement learning for restoring images with diverse or unknown corruptions. Though deep reinforcement learning can generate effective policy networks for operator selection or architecture...conference paper 2021
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Kulhanek, Jonas (author), Derner, Erik (author), Babuska, R. (author)Visual navigation is essential for many applications in robotics, from manipulation, through mobile robotics to automated driving. Deep reinforcement learning (DRL) provides an elegant map-free approach integrating image processing, localization, and planning in one module, which can be trained and therefore optimized for a given environment....journal article 2021
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Ferreira de Brito, B.F. (author), Everett, Michael (author), How, Jonathan Patrick (author), Alonso-Mora, J. (author)Robotic navigation in environments shared with other robots or humans remains challenging because the intentions of the surrounding agents are not directly observable and the environment conditions are continuously changing. Local trajectory optimization methods, such as model predictive control (MPC), can deal with those changes but require...journal article 2021
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Xia, Z. (author), Booij, Olaf (author), Manfredi, Marco (author), Kooij, J.F.P. (author)Cross-view matching aims to learn a shared image representation between ground-level images and satellite or aerial images at the same locations. In robotic vehicles, matching a camera image to a database of geo-referenced aerial imagery can serve as a method for self-localization. However, existing work on cross-view matching only aims at...journal article 2021
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Lager, I.E. (author), Vandenbosch, Guy A.E. (author), Stumpf, M. (author)This article explores some dominant trends in teaching classical electromagnetic (EM) field theory in electrical engineering (EE) undergraduate curricula. The acronym EM will be used interchangeably to designate either electromagnetic or electromagnetism. The intended significance will be evident from the context.review 2020
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Pérez-Dattari, Rodrigo (author), Celemin, Carlos (author), Franzese, G. (author), Ruiz-del-Solar, Javier (author), Kober, J. (author)Current ongoing industry revolution demands more flexible products, including robots in household environments and medium-scale factories. Such robots should be able to adapt to new conditions and environments and be programmed with ease. As an example, let us suppose that there are robot manipulators working on an industrial production line and...journal article 2020
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Landman, H.M. (author)After several recent flight safety events, such as the accident of Air France flight 447 in 2009, investigators determined that surprise and startle can severely disrupt pilot responses. They concluded that pilots need to be better prepared for unexpected and potentially startling situations. In response, aviation safety authorities have...doctoral thesis 2019