document

Applying the exposome concept to working life health: The EU EPHOR project

Pronk, A. (author), Loh, M. (author), Kuijpers, E. (author), Albin, M. (author), Selander, J. (author), Godderis, L. (author), Ghosh, M. (author), Vermeulen, R. (author), Peters, S. (author), Sivesind Mehlum, I. (author), Turner, M. (author), Schlunssen, V. (author), Goldberg, M. (author), Kogevinas, M. (author), Harding, B. (author), Solovieva, S. (author), Garani-Papadatos, T. (author), van Tongeren, M. (author), Stierum, R. (author)

Exposures at work have a major impact on noncommunicable diseases (NCDs). Current risk reduction policies and strategies are informed by existing scientific evidence, which is limited due to the challenges of studying the complex relationship between exposure at work and outside work and health. We define the working life exposome as all...

article 2022

document

Data science for service design: An introductory overview of methods and opportunities

Kunneman, Y. (author), Alves da Motta-Filho, M. (author), de Waa, J (author)

To support effective and successful projects, Service Design practitioners rely on insights that mainly build on qualitative research methodology. The literature on data science promises to help transform how design research is done, adding sophisticated quantitative analyses, complementing existing methods with the power of machines. Due to...

article 2022

document

Exploring dynamic metabolomics data with multiway data analysis: a simulation study

Li, L. (author), Hoefsloot, H. (author), de Graaf, A.A. (author), Acar, E. (author), Smilde, A.K. (author)

Background: Analysis of dynamic metabolomics data holds the promise to improve our understanding of underlying mechanisms in metabolism. For example, it may detect changes in metabolism due to the onset of a disease. Dynamic or time-resolved metabolomics data can be arranged as a three-way array with entries organized according to a subjects...

article 2022

document

Reliability Engineering and Computational Intelligence

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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Preface

van Gulijk, C. (author), Zaitseva, E. (author)

[No abstract available]

bookPart 2021

document

Template Clustering for the Foundational Analysis of the Dark Web

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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Real-World Scenario Mining for the Assessment of Automated Vehicles

de Gelder, E. (author), Cator, E. (author), Paardekooper, J.-P. (author), op den Camp, O.M.G.C. (author), de Schutter, B. (author)

Scenario-based methods for the assessment of Automated Vehicles (AVs) are widely supported by many players in the automotive field. Scenarios captured from real-world data can be used to define the scenarios for the assessment and to estimate their relevance. Therefore, different techniques are proposed for capturing scenarios from real-world...

conference paper 2020

document

Using Relational Concept Networks for Explainable Decision Support

Voogd, J.M. (author), de Heer, P.B.U.L. (author), Veltman, H.J. (author), Hanckmann, P. (author), van Lith, J.M. (author)

In decision support systems, information from many different sources must be integrated and interpreted to aid the process of gaining situational understanding. These systems assist users in making the right decisions, for example when under time pressure. In this work, we discuss a controlled automated support tool for gaining situational...

conference paper 2019

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The semantic snake charmer search engine: A tool to facilitate data science in high-tech industry domains

Grappiolo, C. (author), van Gerwen, M.J.A.M. (author), Verhoosel, J.P.C. (author), Somers, L. (author)

The booming popularity of data science is also affecting high-tech industries. However, since these usually have different core competencies - building cyber-physical systems rather than e.g. machine learning or data mining algorithms - delving into data science by domain experts such as system engineers or architects might be more cumbersome...

conference paper 2019

document

Imputation methods outperform missing-indicator for data missing completely at random

Pereira Barata, A. (author), Takes, F.W. (author), van den Herik, H.J. (author), Veenman, C.J. (author)

conference paper 2019

document

Enabling analytics on sensitive medical data with secure multi-party computation

Veeningen, M. (author), Chatterjea, S. (author), Horváth, A.Z. (author), Spindler, G. (author), Boersma, E. (author), van der Spek, P. (author), van der GaliËn, O. (author), Gutteling, J. (author), Kraaij, W. (author), Veugen, P.J.M. (author)

conference paper 2018

document

Exploiting ontologies for deep learning: A case for sentiment mining

Raaijmakers, S. (author), Brewster, C. (author)

conference paper 2018

document

Investigating the interpretability of hidden layers in deep text mining

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

document

Classification of human gaits using interrupted radar measurements

van Rossum, W.L. (author), Anitori, L. (author), van Dorp, P. (author), de Wit, J.J.M. (author), Harmanny, R.I.A. (author)

conference paper 2017

document

Integrated Optimization of Long-Range Underwater Signal Detection, Feature Extraction, and Classification for Nuclear Treaty Monitoring

Tuma, M. (author), Rorbech, V. (author), Prior, M. (author), Igel, C. (author)

We designed and jointly optimized an integrated signal processing chain for detection and classification of long-range passive-acoustic underwater signals recorded by the global geophysical monitoring network of the Comprehensive Nuclear-Test-Ban Treaty Organization. Starting at the level of raw waveform data, a processing chain of signal...

article 2016

document

Introducing process mining for AECFM: Three experimental case studies

van Schaijk, S. (author), van Berlo, L.A.H.M. (author)

The research field of process mining is relatively new and not been applied often in the Architecture, Engineering, Construction and Facility Management industry (AECFM). Process mining uses databases of existing IT systems to gain major insights in processes. Currently the AECFM industry increasingly adapts IT systems within all phases of the...

conference paper 2016

document

Scenemash: Multimodal route summarization for city exploration

van den Berg, J. (author), Rudinac, S. (author), Worring, M. (author)

The potential of mining tourist information from social multimedia data gives rise to new applications offering much richer impressions of the city. In this paper we propose Scenemash, a system that generates multimodal summaries of multiple alternative routes between locations in a city. To get insight into the geographic areas on the route, we...

conference paper 2016

document

Large scale track analysis for wide area motion imagery surveillance

van Leeuwen, C.J. (author), van Huis, J.R. (author), Baan, J. (author)

Wide Area Motion Imagery (WAMI) enables image based surveillance of areas that can cover multiple square kilometers. Interpreting and analyzing information from such sources, becomes increasingly time consuming as more data is added from newly developed methods for information extraction. Captured from a moving Unmanned Aerial Vehicle (UAV), the...

conference paper 2016

document

Complex event processing for content-based text, image, and video retrieval

Bowman, E.K. (author), Broome, B.D. (author), Holland, V.M. (author), Summers-Stay, D. (author), Rao, R.M. (author), Duselis, J. (author), Howe, J. (author), Madahar, B.K. (author), Boury-Brisset, A.C. (author), Forrester, B. (author), Kwantes, P. (author), Burghouts, G. (author), van Huis, J. (author), Mulayim, A.Y. (author)

This report summarizes the findings of an exploratory team of the North Atlantic Treaty Organization (NATO) Information Systems Technology panel into Content-Based Analytics (CBA). The team carried out a technical review into the current status of theoretical and practical developments of methods, tools and techniques supporting joint...

conference paper 2016

document

Data farming in support of HLA performance assessment

Cramp, A.J. (author), van den Berg, T.W. (author), Huiskamp, W. (author)

Performance assessment is a key factor in designing distributed simulation environments that are fit-forpurpose and cost-effective. Simulations used for training applications should provide the required level of responsiveness and interactivity. Simulations used for analysis or decision support should execute as fast as possible to enable quick...

conference paper 2014