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Veldhuis, M.S. (author), Ariëns, Simone (author), Ypma, Rolf J.F. (author), Abeel, T.E.P.M.F. (author), Benschop, Corina C.G. (author)
Machine learning obtains good accuracy in determining the number of contributors (NOC) in short tandem repeat (STR) mixture DNA profiles. However, the models used so far are not understandable to users as they only output a prediction without any reasoning for that conclusion. Therefore, we leverage techniques from the field of explainable...
journal article 2022
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Köylü, T.C. (author), Reinbrecht, Cezar (author), Brandalero, Marcelo (author), Hamdioui, S. (author), Taouil, M. (author)
Fault injection attacks are a threat to all digital systems, especially to the ones conducting security sensitive operations. Recently, the strategy of observing the instruction flow to detect attacks has gained popularity. In this paper, we provide a comparative study between three hardware-based techniques (i.e., recurrent neural network (RNN)...
journal article 2022
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Afghari, A.P. (author), Papadimitriou, E. (author), Pilkington-Cheney, Fran (author), Filtness, Ashleigh (author), Brijs, Tom (author), Brijs, Kris (author), Cuenen, Ariane (author), De Vos, Bart (author), Dirix, Helene (author), Ross, Veerle (author), Wets, Geert (author), Lourenço, André (author), Rodrigues, Lourenço (author)
Sleepiness is a common human factor among truck drivers resulting from sleep loss or time of day and causing impairment in vigilance, attention, and driving performance. While driver sleepiness may be associated with increased risk on the road, sleepy drivers may drive more cautiously as a result of risk-compensating behaviour. This endogeneity...
journal article 2022
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Giaccardi, Elisa (author), Redström, Johan (author)
Are we reaching the limits of what human-centered and user-centered design can cope with? Developing new design methodologies and tools to unlock the potentials of data technologies such as the Internet of Things, Machine Learning and Artificial Intelligence for the everyday job of design is necessary but not sufficient. There is now a need to...
journal article 2020
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Nasiri, Jalal A. (author), Mir, S.A.M. (author)
Among the extensions of twin support vector machine (TSVM), some scholars have utilized K-nearest neighbor (KNN) graph to enhance TSVM’s classification accuracy. However, these KNN-based TSVM classifiers have two major issues such as high computational cost and overfitting. In order to address these issues, this paper presents an enhanced...
journal article 2020
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Mohammadi, Reza (author), Lal, C. (author), Conti, M. (author)
Nowadays, the number of Distributed Denial of Service (DDoS) attacks is growing rapidly. The aim of these type of attacks is to make the prominent and critical services unavailable for legitimate users. HTTP flooding is one of the most common DDoS attacks and because of its implementation in application layer, it is difficult to detect and...
journal article 2022
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Sabzehee, F. (author), Amiri Simkooei, A. (author), Iran Pour, S. (author), Vishwakarma, B.D. (author), Kerachian, R. (author)
The Urmia lake in north-west Iran has dried up to perilously low levels in the past two decades. In this study, we investigate the drivers behind the decline in lake water level with the help of in-situ and remote sensing data. We use total water storage (TWS) changes from the gravity recovery and climate experiment (GRACE) satellite mission....
journal article 2023
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Freites, Alfredo (author), Corbett, P. W.M. (author), Rongier, G. (author), Geiger, S. (author)
Understanding the impact of fractures on fluid flow is fundamental for developing geoenergy reservoirs. Pressure transient analysis could play a key role for fracture characterization purposes if better links can be established between the pressure derivative responses (p′) and the fracture properties. However, pressure transient analysis is...
journal article 2023
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Zoutendijk, M. (author), Mitici, M.A. (author)
The problem of flight delay prediction is approached most often by predicting a delay class or value. However, the aviation industry can benefit greatly from probabilistic delay predictions on an individual flight basis, as these give insight into the uncertainty of the delay predictions. Therefore, in this study, two probabilistic forecasting...
journal article 2021
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van Baardewijk, Jan Ubbo (author), Agarwal, Sarthak (author), Cornelissen, Alex S. (author), Joosen, Marloes J. A. (author), Kentrop, Jiska (author), Varon, Carolina (author), Brouwer, Anne-Marie (author)
Early detection of exposure to a toxic chemical, e.g., in a military context, can be life-saving. We propose to use machine learning techniques and multiple continuously measured physiological signals to detect exposure, and to identify the chemical agent. Such detection and identification could be used to alert individuals to take...
journal article 2021
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Klijn, M.E. (author), Hubbuch, Juergen (author)
Imaging is increasingly more utilized as analytical technology in biopharmaceutical formulation research, with applications ranging from subvisible particle characterization to thermal stability screening and residual moisture analysis. This review offers a comprehensive overview of analytical imaging for scientists active in...
journal article 2021
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Haakman, Mark (author), Cruz, Luis (author), Huijgens, H.K.M. (author), van Deursen, A. (author)
Tech-leading organizations are embracing the forthcoming artificial intelligence revolution. Intelligent systems are replacing and cooperating with traditional software components. Thus, the same development processes and standards in software engineering ought to be complied in artificial intelligence systems. This study aims to understand the...
journal article 2021
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Kulin, Merima (author), Kazaz, T. (author), De Poorter, Eli (author), Moerman, Ingrid (author)
This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY,MAC and network. First, the related work and paper contributions are discussed, followed by providing...
journal article 2021
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Ye, Qing Chuan (author), Rhuggenaath, Jason. S. (author), Zhang, Yingqian (author), Verwer, S.E. (author), Hilgeman, Michiel Jurgen (author)
Designing auction parameters for online industrial auctions is a complex problem due to highly heterogeneous items. Currently, online auctioneers rely heavily on their experts in auction design. The ability of predicting how well an auction will perform prior to the start comes in handy for auctioneers. If an item is expected to be a low...
journal article 2021
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Shengren, H. (author), Vergara Barrios, P.P. (author), Salazar Duque, Edgar Mauricio (author), Palensky, P. (author)
The massive integration of renewable-based distributed energy resources (DERs) inherently increases the energy system’s complexity, especially when it comes to defining its operational schedule. Deep reinforcement learning (DRL) algorithms arise as a promising solution due to their data-driven and model-free features. However, current DRL...
journal article 2023
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van 't Sant, S. (author), Thakolkaran, P. (author), Martínez, Jonàs (author), Kumar, Siddhant (author)
Advancements in machine learning have sparked significant interest in designing mechanical metamaterials, i.e., materials that derive their properties from their inherent microstructure rather than just their constituent material. We propose a data-driven exploration of the design space of growth-based cellular metamaterials based on star-shaped...
journal article 2023
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de Croon, G.C.H.E. (author)
journal article 2023
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van der Waa, J.S. (author), Schoonderwoerd, Tjeerd (author), Diggelen, Jurriaan van (author), Neerincx, M.A. (author)
Decision support systems (DSS) have improved significantly but are more complex due to recent advances in Artificial Intelligence. Current XAI methods generate explanations on model behaviour to facilitate a user's understanding, which incites trust in the DSS. However, little focus has been on the development of methods that establish and...
journal article 2020
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Antonopoulos, Ioannis (author), Robu, Valentin (author), Couraud, Benoit (author), Flynn, David (author)
Recent years have seen an increasing interest in Demand Response (DR), as a means to satisfy the growing flexibility needs of modern power grids. This increased flexibility is required due to the growing proportion of intermittent renewable energy generation into the energy mix, and increasing complexity in demand profiles from the...
journal article 2021
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Li, Z. (author), Kant, Henk (author), Hai, R. (author), Katsifodimos, A (author), Brambilla, Marco (author), Bozzon, A. (author)
Machine learning (ML) practitioners and organizations are building model repositories of pre-trained models, referred to as model zoos. These model zoos contain metadata describing the properties of the ML models and datasets. The metadata serves crucial roles for reporting, auditing, ensuring reproducibility, and enhancing interpretability....
journal article 2023
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