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Weissbart, L.J.A. (author), Chmielewski, Łukasz (author), Picek, S. (author), Batina, Lejla (author)Profiling attacks, especially those based on machine learning, proved to be very successful techniques in recent years when considering the side-channel analysis of symmetric-key crypto implementations. At the same time, the results for implementations of asymmetric-key cryptosystems are very sparse. This paper considers several machine learning...journal article 2020
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Bonsignorio, Fabio (author), Hsu, David (author), Johnson-Roberson, Matthew (author), Kober, J. (author)Deep learning has gone through massive growth in recent years. In many fields—computer vision, speech recognition, machine translation, game playing, and others—deep learning has brought unprecedented progress and become the method of choice. Will the same happen in robotics and automation? In a sense, it is already happening. Today, deep...contribution to periodical 2020
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Hiemstra, Annemarie M.F. (author), Cassel, Tatjana (author), Born, Marise Ph (author), Liem, C.C.S. (author)In this article, we describe the implementation of algorithms based on machine learning for personnel selection procedures and how this data-driven approach corresponds to and differentiates from classical psychological assessment. We discuss if, and in what way, bias and discrimination occur when using algorithms based on machine learning...journal article 2020
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Ke, Q. (author), Tian, X. (author), Bricker, J.D. (author), Tian, Zhan (author), Guan, Guanghua (author), Cai, Huayang (author), Huang, Xinxing (author), Yang, Honglong (author), Liu, Junguo (author)Urban pluvial flooding is a threatening natural hazard in urban areas all over the world, especially in recent years given its increasing frequency of occurrence. In order to prevent flood occurrence and mitigate the subsequent aftermath, urban water managers aim to predict precipitation characteristics, including peak intensity, arrival time...journal article 2020
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Li, X. (author), Li, Zhenghui (author), Fioranelli, F. (author), Yang, Shufan (author), Romain, Olivier (author), Le Kernec, Julien (author)Radar-based classification of human activities and gait have attracted significant attention with a large number of approaches proposed in terms of features and classification algorithms. A common approach in activity classification attempts to find the algorithm (features plus classifier) that can deal with multiple activities analysed in...journal article 2020
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Verhelst, H.M. (author), Stannat, A.W. (author), Mecacci, G. (author)Rapid advancements in machine learning techniques allow mass surveillance to be applied on larger scales and utilize more and more personal data. These developments demand reconsideration of the privacy-security dilemma, which describes the tradeoffs between national security interests and individual privacy concerns. By investigating mass...journal article 2020
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Hillege, Roderic H.L. (author), Lo, J.C. (author), Janssen, Christian P. (author), Romeijn, Nico (author)This paper investigates whether mental workload can be classified in an operator setting using unobtrusive psychophysiological measures. Having reliable predictions of workload using unobtrusive sensors can be useful for adaptive instructional systems, as knowledge of a trainee’s workload can then be used to provide appropriate training level...conference paper 2020
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Alsayyari, F.S. (author), Tiberga, M. (author), Perko, Z. (author), Lathouwers, D. (author), Kloosterman, J.L. (author)We use a novel nonintrusive adaptive Reduced Order Modeling method to build a reduced model for a molten salt reactor system. Our approach is based on Proper Orthogonal Decomposition combined with locally adaptive sparse grids. Our reduced model captures the effect of 27 model parameters on k<sub>eff</sub> of the system and the spatial...journal article 2020
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Timbergen, Milea J.M. (author), Starmans, Martijn P.A. (author), Padmos, Guillaume A. (author), Grünhagen, Dirk J. (author), van Leenders, Geert J.L.H. (author), Hanff, D. F. (author), Niessen, W.J. (author), Klein, S. (author), Visser, J.J. (author)Purpose: Diagnosing desmoid-type fibromatosis (DTF) requires an invasive tissue biopsy with β-catenin staining and CTNNB1 mutational analysis, and is challenging due to its rarity. The aim of this study was to evaluate radiomics for distinguishing DTF from soft tissue sarcomas (STS), and in DTF, for predicting the CTNNB1 mutation types....journal article 2020
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Bellelli, Valeria (author), Siccardi, Guido (author), Conte, Livia (author), Celani, Luigi (author), Congeduti, E. (author), Borrazzo, Cristian (author), Santinelli, Letizia (author), Innocenti, Giuseppe Pietro (author), Pinacchio, Claudia (author), Ceccarelli, Giancarlo (author)Invasive pulmonary aspergillosis (IPA) is typically considered a disease of immunocompromised patients, but, recently, many cases have been reported in patients without typical risk factors. The aim of our study is to develop a risk predictive model for IPA through machine learning techniques (decision trees) in patients with influenza. We...journal article 2020
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Degeler, V. (author), Heydenrijk-Ottens, L.J.C. (author), Luo, D. (author), van Oort, N. (author), van Lint, J.W.C. (author)We perform an analysis of public transport data from The Hague, the Netherlands, combined from three sources: static network information, automatic vehicles location and automated fare collection data. We highlight the effect of bunching swings, and show that this phenomenon can be extracted using unsupervised machine learning techniques,...journal article 2020
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Qu, S. (author), Guan, Zhe (author), Verschuur, D.J. (author), Chen, Yangkang (author)Microseismic methods are crucial for real-Time monitoring of the hydraulic fracturing dynamic status during the development of unconventional reservoirs. However, unlike the active-source seismic events, the microseismic events usually have low signal-To-noise ratio (SNR), which makes its data processing challenging. To overcome the noise...journal article 2020
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Makrodimitris, S. (author), van Ham, R.C.H.J. (author), Reinders, M.J.T. (author)The current rate at which new DNA and protein sequences are being generated is too fast to experimentally discover the functions of those sequences, emphasizing the need for accurate Automatic Function Prediction (AFP) methods. AFP has been an active and growing research field for decades and has made considerable progress in that time....review 2020
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Christensen, Thomas (author), Loh, Charlotte (author), Picek, S. (author), Jakobović, Domagoj (author), Jing, Li (author), Fisher, Sophie (author), Ceperic, Vladimir (author), Joannopoulos, John D. (author), Soljačić, Marin (author)The prediction and design of photonic features have traditionally been guided by theory-driven computational methods, spanning a wide range of direct solvers and optimization techniques. Motivated by enormous advances in the field of machine learning, there has recently been a growing interest in developing complementary data-driven methods...journal article 2020
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Sakyi-Gyinae, Master (author)With the increasing trend in air traffic demand and evidence of large deviations from filed flight plans, airspace capacity is not being optimally utilized. In order to improve air traffic flow and capacity management systems, so that air traffic control operators can handle more aircraft safely, air traffic predictability needs to be improved....master thesis 2019
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Dong, Jiaao (author)In order to achieve redundancy and improve the robustness of an autonomous driving system, radar is a suitable choice for road user detection task in severe working conditions (e.g. darkness, bad weather). However, the real-time multi-class radar based road user detection algorithm is less explored compared with camera and LiDAR solutions. To...master thesis 2019
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Yoon, Ahhyun (author)Demand for machine learning is ever-growing in today’s business. Situated at the convergence point of big data and Artificial Intelligence (AI), machine learning allows companies not only to unlock hidden insights from the data deluge but also to fundamentally revolutionize their products and services. Recognizing the opportunities, industrial...master thesis 2019
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Lee, Jaehyeun (author)Fatigue is often a governing design factor for offshore wind turbines. Since the design of offshore wind turbines includes conservatism, the actual accumulated fatigue damage can be lower than what the turbine is designed for. In this case, the operator can make a decision on life time extension of existing wind turbines. Therefore, it is...master thesis 2019
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Rietveld, Jip (author), de Vries, Rolf (author), de Boer, Jaap (author), Hondelink, Dieuwer (author)Amsterdam Airport Schiphol has 5 runways, each of which can be used for take-off or landing of aeroplanes. The weather heavily influences which runway configuration air traffic control might pick. Airport Forecasting Service (AFOS) predicts which configuration of runways works most efficiently given a set of expected weather conditions and the...bachelor thesis 2019
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Dubost, Florian (author), Yilmaz, Pinar (author), Adams, Hieab (author), Bortsova, Gerda (author), Ikram, M. Arfan (author), Niessen, W.J. (author), Vernooij, Meike (author), de Bruijne, Marleen (author)Enlarged perivascular spaces (PVS) are structural brain changes visible in MRI, are common in aging, and are considered a reflection of cerebral small vessel disease. As such, assessing the burden of PVS has promise as a brain imaging marker. Visual and manual scoring of PVS is a tedious and observer-dependent task. Automated methods would...journal article 2019