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de Boer, H. (author), Muller, R.W.D. (author), Wong, S. (author), Voogt, V. (author)A key obstacle within the design of cognitive radios has always been the spectrum sensing component that implements the function automatic modulation classification (AMC). With the transition to software-defined radios (SDRs) followed by the introduction of field-programmable gate arrays (FPGAs) and deep learning (DL), it becomes possible to...conference paper 2021
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Nair, V.V. (author), van Staalduinen, M. (author), Oosterman, D.T. (author)The rapid rise of the Dark Web and supportive technologies has served as the backbone facilitating online illegal activity worldwide. These illegal activities supported by anonymisation technologies such as Tor has made it increasingly elusive to law enforcement agencies. Despite several successful law enforcement operations, illegal activity on...conference paper 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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de Bruin, G.J. (author), Veenman, C.J. (author), van den Herik, H.J. (author), Takes, F.W. (author)Link prediction is a well-studied technique for inferring the missing edges between two nodes in some static representation of a network. In modern day social networks, the timestamps associated with each link can be used to predict future links between so-far unconnected nodes. In these so-called temporal networks, we speak of temporal link...article 2021
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van Egmond, M.B. (author), Spini, G. (author), van der Galien, O. (author), IJpma, A. (author), Veugen, P.J.M. (author), Kaaij, W. (author), Sangers, A. (author), Rooijakkers, T. (author), Langenkamp, P. (author), Kamphorst, B. (author), van de L'Isle, N. (author), Kooij-Janic, M. (author)Background: Recent developments in machine learning have shown its potential impact for clinical use such as risk prediction, prognosis, and treatment selection. However, relevant data are often scattered across diferent stakehold ers and their use is regulated, e.g. by GDPR or HIPAA. As a concrete use-case, hospital Erasmus MC and health...article 2021
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Natali, A. (author), Isufi, E. (author), Coutino, M. (author), Leus, G. (author)Topology identification is an important problem across many disciplines, since it reveals pairwise interactions among entities and can be used to interpret graph data. In many scenarios, however, this (unknown) topology is time-varying, rendering the problem even harder. In this paper, we focus on a time-varying version of the structural...conference paper 2021
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Reck, S. (author), van der Knaap, F.G.P. (author), Buis, E.J. (author)KM3NeT/ORCA is a water-Cherenkov neutrino detector, currently under construction in the Mediterranean Sea at a depth of 2450 meters. The project’s main goal is the determination of the neutrino mass hierarchy by measuring the energy- and zenith-angle-resolved oscillation probabilities of atmospheric neutrinos traversing the Earth. Additionally,...conference paper 2021
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Lathouwers, S. (author), Everts, M.H. (author), Huisman, M. (author)String sanitizers are widely used functions for preventing injection attacks such as SQL injections and cross-site scripting (XSS). It is therefore crucial that the implementations of such string sanitizers are correct. We present a novel approach to reason about a sanitizer's correctness by automatically generating a model of the implementation...conference paper 2020
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van Zoelen, E.M. (author), Cremers, A.H.M. (author), Dignum, F.P.M. (author), van Diggelen, J. (author), Peeters, M.M. (author)Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual factors. Proactive communication was...conference paper 2020
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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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Snijders, R. (author), Pileggi, P.P. (author), Broekhuijsen, B.J. (author), Verriet, J. (author), Wiering, M. (author), Kok, J.K. (author)Cyber-Physical Systems are becoming more autonomous, interconnected, complex and adaptive, and are expected to operate in highly dynamic environments. This is especially challenging for energy ecosystems that are increasingly difficult to control and maintain as the number of participating manufacturers and users grows. Digital Twins help analyze...conference paper 2020
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Phillipson, F. (author)A quantum computer that is useful in practice, is expected to be developed in the next few years. An important application is expected to be machine learning, where benefits are expected on run time, capacity and learning efficiency. In this paper, these benefits are presented and for each benefit an example application is presented. A quantum...conference paper 2020
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Jansen, A. (author), Steijn, W.M.P. (author), van der Beek, D. (author), Janssens, L.A.W. (author), Kwantes, J.H. (author)The Machine Directive, which contains the Health and Safety Requirements to warrant safe design of industrial (and commercial) machines, is currently being evaluated for amendment. These amendments should ensure that the Machine Directive is relevant for all machines that could be introduced on the work floor in the following 30 years. In this...conference paper 2020
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Neumann, N.M.P. (author), de Heer, P.B.U.L. (author), Chiscop, I. (author), Phillipson, F. (author)With quantum computers still under heavy development, already numerous quantum machine learning algorithms have been proposed for both gate-based quantum computers and quantum annealers. Recently, a quantum annealing version of a reinforcement learning algorithm for grid-traversal using one agent was published. We extend this work based on...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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- van Dam, T.J. (author), Neumann, N.M.P. (author), Phillipson, F. (author), van den Berg, H. (author) article 2020
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Brown, F.L. (author), Farag, A.I. (author), Hussein Abd Alla, F. (author), Radford, K. (author), Miller, L. (author), Neijenhuijs, K. (author), Stubbe, H. (author), de Hoop, T. (author), Abbadi Abdullatif, A. (author), Turner, J.S. (author), Jetten, A. (author), Jordans, M.J.D. (author)Innovations are needed to address the global issue of access to high-quality education, particularly in low- and middle-income countries. This paper shows quasi-experimental evidence that a digital game-based learning programme (‘Can’t Wait to Learn’) led to significantly greater improvements in mathematics competency, Arabic literacy competency...article 2020
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van den Bosch, K. (author), Blankendaal, R.A.M. (author), Boonekamp, R. (author), Schoonderwoerd, T.A.J. (author)Simulators and games provide contextually rich environments, enabling learners to experience the relations between actions, events and outcomes. In order to be effective, learning situations need to be tailored to the needs of the individual learner. Virtual characters (or agents) that, in real time, select, adapt, and exhibit the behavior that...conference paper 2020
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Alatrach, Y. (author), Mata, C. (author), Shoeibi Omrani, P.S. (author), Saputelli, L. (author), Narayanan, R. (author), Hamdan, M. (author)In this paper, a new approach was identified and tested to detect abnormal events in producing wells when a labeled dataset is unavailable or the number of instances are below 10% and are insufficient for conventional modelling methods. Autoencoders (AE), a type of unsupervised learning, are trained to learn normal behavior by trying to...conference paper 2020
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Moné, M.J. (author), Pallocca, G. (author), Escher, S.E. (author), Exner, T. (author), Herzler, M. (author), Hougaard Bennekou, S. (author), Kamp, H. (author), Kroese, E.D. (author), Leist, M. (author), Steger-Hartmann, T. (author), van de Water, B. (author)In 2016, the European Commission launched the EU-ToxRisk research project to develop and promote animal-free approaches in toxicology. The 36 partners of this consortium used in vitro and in silico methods in the context of case studies (CSs). These CSs included both compounds with a highly defined target (e.g. mitochondrial respiratory chain...article 2020