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2018

Amabili, L., Kosinka, J., Meersbergen, M. A. J. V., Ooijen, P. M. A. V., Roerdink, J. B. T. M., Svetachov, P., & Yu, L. (2018). Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration. Presented at the EuroVis 2018 - 20th EG/VGTC Conference on Visualization, The Eurographics Association. https://doi.org/10.2312/eurovisshort.20181076

Bilgin, A., Tjong Kim Sang, E., Smeenk, K., Hollink, L., van Ossenbruggen, J., Harbers, F., & Broersma, M. (2018). Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History. In Proceedings of the 14th IEEE International Conference on eScience (eScience 2018) (p. 11). Amsterdam, The Netherlands: IEEE. Retrieved from https://www.escience2018.com/

Chopard, B., Falcone, J.-L., Kunzli, P., Veen, L., & Hoekstra, A. (2018). Multiscale modeling: recent progress and open questions. Multiscale and Multidisciplinary Modeling, Experiments and Design, 1(1), 57–68. https://doi.org/10.1007/s41939-017-0006-4

D.Carbone, H. Garsden, H.Spreeuw, J.D. Swinbank, A.J. van der Horst, A. Rowlinson, J.W. Broderick, E. Rol, C. Law, R.A.M.J. Wijers. (2018). PySE: Software for extracting sources from radio images. Astronomy and Computing, 23, 92–102. https://doi.org/10.1016/j.ascom.2018.02.003

Dokter, A. M., Desmet, P., Spaaks, J. H., van Hoey, S., Veen, L., Verlinden, L., Shamoun-Baranes, J. (2018). bioRad: biological analysis and visualization of weather radar data. Ecography. https://doi.org/10.1111/ecog.04028

Engler, M. S., Caron, B., Veen, L., Geerke, D. P., Mark, A. E., & Klau, G. W. (2018a). Multiple-Choice Knapsack for Assigning Partial Atomic Charges in Drug-Like Molecules. In 18th International Workshop on Algorithms in Bioinformatics (WABI 2018) (Vol. 113, pp. 16:1-16:13). Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPIcs.WABI.2018.16

Engler, M. S., Caron, B., Veen, L., Geerke, D. P., Mark, A. E., & Klau, G. W. (2018b). Multiple-Choice Knapsack for Assigning Partial Atomic Charges in Drug-Like Molecules. https://doi.org/10.4230/lipics.wabi.2018.16

Grimaldi, G., Crisp, R. W., ten Brinck, S., Zapata, F., van Ouwendorp, M., Renaud, N., Houtepen, A. J. (2018). Hot-electron transfer in quantum-dot heterojunction films. Nature Communications, 9(1). https://doi.org/10.1038/s41467-018-04623-9

Hamlin, T. A., Svatunek, D., Yu, S., Ridder, L., Infante, I., Visscher, L., & Bickelhaupt, F. M. (2018). Elucidating the Trends in Reactivity of Aza-1,3-Dipolar Cycloadditions: Elucidating the Trends in Reactivity of Aza-1,3-Dipolar Cycloadditions. European Journal of Organic Chemistry. https://doi.org/10.1002/ejoc.201800572

Hanse, J., Jílková, L., Portegies Zwart, S. F., & Pelupessy, F. I. (2018). Capture of exocomets and the erosion of the Oort cloud due to stellar encounters in the Galaxy. Monthly Notices of the Royal Astronomical Society, 473(4), 5432–5445. https://doi.org/10.1093/mnras/stx2721

Hartung, K., Svensson, G., Struthers, H., Deppenmeier, A.-L., & Hazeleger, W. (2018). An EC-Earth coupled atmosphere-ocean single-column model (AOSCM) for studying coupled marine and polar processes. Geoscientific Model Development Discussions, 1–35. https://doi.org/10.5194/gmd-2018-66

Heydarian, H., Schueder, F., Strauss, M. T., van Werkhoven, B., Fazel, M., Lidke, K. A., Rieger, B. (2018). Template-free 2D particle fusion in localization microscopy. Nature Methods. https://doi.org/10.1038/s41592-018-0136-6

Hogervorst,Susan, Brugman, Hennie, Buitinck, Lars, van Erp, Marieke, Klijn, Edwin, Kouw, Wouter, Willemsen, Jeroen. (2018). THE EVENT-DETECTION GAP Manual vs. automatic event detection in historical research. Presented at the DH Benelux 2018, Amsterdam, The Netherlands.

Kooistra, A. J., Vass, M., McGuire, R., Leurs, R., de Esch, I. J., Vriend, G., de Graaf, C. (2018). 3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery. ChemMedChem. https://doi.org/10.1002/cmdc.201700754

Kuzniar, A., Maassen, J., Verhoeven, S., Santuari, L., Shneider, C., Kloosterman, W., & Ridder, J. de. (2018). A portable and scalable workflow for detecting structural variants in whole-genome sequencing data. IEEE eScience 2018. Retrieved from https://www.escience2018.com/page/471839

Kuzniar, A., Maassen, J., Verhoeven, S., Shneider, C., Kloosterman, W., & de Ridder, J. (2018). sv-callers: a portable workflow for detecting structural variants in WGS data. Presented at the European Conference on Computational Biology, Athens, Greece. Retrieved from http://eccb18.org/

Mejía, L., Renaud, N., & Franco, I. (2018). Signatures of Conformational Dynamics and Electrode-Molecule Interactions in the Conductance Profile During Pulling of Single-Molecule Junctions. The Journal of Physical Chemistry Letters, 9(4), 745–750. https://doi.org/10.1021/acs.jpclett.7b03323

Mikhailov, K., & Sclocco, A. (2018). The Apertif Monitor for Bursts Encountered in Real-time (AMBER) auto-tuning optimization with genetic algorithms. Astronomy and Computing, 25, 139–148. https://doi.org/10.1016/j.ascom.2018.09.007

Möller, J., Trilling, D., Helberger, N., & van Es, B. (2018). Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity. Information, Communication & Society, 21(7), 959–977. https://doi.org/10.1080/1369118X.2018.1444076

Neyrinck, M. C., Hidding, J., Konstantatou, M., & van de Weygaert, R. (2018). The cosmic spiderweb: equivalence of cosmic, architectural and origami tessellations. Royal Society Open Science, 5(4), 171582. https://doi.org/10.1098/rsos.171582

Nikishova, A., Veen, L., Zun, P., & Hoekstra, A. G. (2018). Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis. Cardiovascular Engineering and Technology. https://doi.org/10.1007/s13239-018-00372-4

Nourian, P., Martinez-Ortiz, C., & Ohori, K. A. (2018). Essential Means for Urban Computing: Specification of Web-Based Computing Platforms for Urban Planning, a Hitchhiker’s Guide. Urban Planning, 3(1), 47. https://doi.org/10.17645/up.v3i1.1299

Okkersen, K., Jimenez-Moreno, C., Wenninger, S., Daidj, F., Glennon, J., Cumming, S., Dittrich, J. (2018b). Cognitive behavioural therapy with optional graded exercise therapy in patients with severe fatigue with myotonic dystrophy type 1: a multicentre, single-blind, randomised trial. The Lancet Neurology, 17(8), 671–680. https://doi.org/10.1016/S1474-4422(18)30203-5

Ordelman, R., Martinez Ortiz, C., Melgar Estrada, L., Koolen, M., Blom, J., Melder, W., Inel, O. (2018). Challenges In Enabling Mixed Media Scholarly Research With Multi-Media Data In A Sustainable Infrastructure. Presented at the DH, Mexico City.

Ordelman, R., Melgar, L., Martinez-Ortiz, C., & Noordegraaf, J. (2018). Media Suite: Unlocking Archives for Mixed Media Scholarly Research. Presented at the CLARIN, Pisa, Italy.

Pelupessy, I., Van Werkhoven, B., Dijkstra, H., van Elteren, A., & Portegies Zwart, S. (2018, April). Development of the Oceanographic Multipurpose Software Environment. Conference Poster presented at the EGU 2018, Vienna. Retrieved from https://meetingorganizer.copernicus.org/EGU2018/EGU2018-19113.pdf

Portegies Zwart, S., Torres, S., Pelupessy, I., Bédorf, J., & Cai, M. X. (2018). The origin of interstellar asteroidal objects like 1I/2017 U1 ‘Oumuamua. Monthly Notices of the Royal Astronomical Society: Letters, 479(1), L17–L22. https://doi.org/10.1093/mnrasl/sly088

Ranguelova, E., Puwels, E., & Berkhout, J. (2018). Evaluating Layer-wise Relevance Propagation Explainability Maps for Artificial Neural Networks. Presented at the IEEE eScience, Amsterdam, The Netherlands.

Rasmijn L. M., van der Schrier G., Bintanja R., Barmeijer J., Sterl A., & Hazeleger W. (2018). Future equivalent of 2010 Russian heatwave intensified by weakening soil moisture constraints. Nature Climate Change, 8(5), 381–385. https://doi.org/10.1038/s41558-018-0114-0

Saladino, M. I., Pols, O. R., van der Helm, E., Pelupessy, I., & Zwart, S. P. (2018). Gone with the wind: the impact of wind mass transfer on the orbital evolution of AGB binary systems. Astronomy & Astrophysics. https://doi.org/10.1051/0004-6361/201832967

Sauer, S., Hagedoorn, B., Melgar, L., de Boer, V., Aroyo, L., & Martinez Ortiz, C. (2018). Linking data and disciplines: Exploring narratives through computational tools and interdisciplinary collaboration. Presented at the DHBenelux 2018.

Serna-Chavez, H., Kissling, W. D., Veen, L. E., Swenson, N. G., & van Bodegom, P. M. (2018). Spatial scale dependence of factors driving climate regulation services in the Americas. Global Ecology and Biogeography, 27(7), 828–838. https://doi.org/10.1111/geb.12743

Singh, G., Kuzniar, A., van Mulligen, E. M., Gavai, A., Bachem, C., Visser, R., & Finkers, R. (2018). QTLTableMiner++: semantic mining of QTL tables in scientific articles. BMC Bioinformatics, 19(1), 183. https://doi.org/10.1186/s12859-018-2165-7

Spaaks, J. H., Klaver, T., Verhoeven, S., Maassen, J., Bakker, T., van der Ploeg, A., van Nieuwpoort, R. V. (2018). Painting The Picture Of Software Impact With The Research Software Directory. Presented at the 14th eScience IEEE International Conference, Amsterdam, The Netherlands. https://doi.org/10.5281/zenodo.1412293

Tjong Kim Sang, E., Esteve del Valle, M., Kruitbosch, H., & Broersma, M. (2018). Active Learning for Classifying Political Tweets. International Science and General Applications, 1(March), 60–67.

van den Berk, J., Drijfhout, S. S., & Hazeleger, W. (2018). Atlantic salinity budget in response to Northern and Southern Hemisphere ice sheet discharge. Climate Dynamics. https://doi.org/10.1007/s00382-018-4444-4

van der Schrier, G., Rasmijn, L. M., Barkmeijer, J., Sterl, A., & Hazeleger, W. (2018). The 2010 Pakistan floods in a future climate. Climatic Change, 148(1–2), 205–218. https://doi.org/10.1007/s10584-018-2173-7

van Hees, Vincent T, Sabia, S., Jones, S. E., Wood, A. R., Anderson, K. N., Kivimaki, M., Weedon, M. N. (2018). Estimating sleep parameters using an accelerometer without sleep diary. https://doi.org/10.1101/257972

van Hees, Vincent T., van Diessen, E., Sinke, M. R. T., Buitenhuis, J. W., van der Maas, F., Ridder, L., & Otte, W. M. (2018). Reliable and automatic epilepsy classification with affordable, consumer-grade electroencephalography in rural sub-Saharan Africa. https://doi.org/10.1101/324954

van Hees, Vincent Theodoor, Sabia, S., Jones, S. E., Wood, A. R., Anderson, K. N., Kivimäki, M., Weedon, M. N. (2018). Estimating sleep parameters using an accelerometer without sleep diary. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-31266-z

van Nieuwpoort, R., van Leeuwen, J., Sclocco, A., Spreeuw, H., & Williams, C. (2018). Real-Time RFI Mitigation for LOFAR, Apertif and SKA. https://doi.org/10.23919/URSI-AT-RASC.2018.8471446

van Werkhoven, B., Hijma, P., Jacobs, C. J. H., Maassen, J., Geradts, Z. J. M. H., & Bal, H. E. (2018). A Jungle Computing approach to common image source identification in large collections of images. Digital Investigation. https://doi.org/10.1016/j.diin.2018.09.002

2017

Afshar, S., Seymour, K., Kelly, S. B., Woodcock, S., van Hees, V. T., & Mathers, J. C. (2017). Changes in physical activity after bariatric surgery: using objective and self-reported measures. Surgery for Obesity and Related Diseases, 13(3), 474–483. https://doi.org/10.1016/j.soard.2016.09.012

Allen, A., Aragon, C., Becker, C., Carver, J., Chis, A., Combemale, B., Herbstritt, M. (2017). Engineering Academic Software (Dagstuhl Perspectives Workshop 16252) (p. ). https://doi.org/10.4230/dagman.6.1.1

Andry, O., Bintanja, R., & Hazeleger, W. (2017). Time-Dependent Variations in the Arctic’s Surface Albedo Feedback and the Link to Seasonality in Sea Ice. Journal of Climate, 30(1), 393–410. https://doi.org/10.1175/JCLI-D-15-0849.1

Broekema, P. C., Twelker, D. R., Romão, D. C., Grosso, P., van Nieuwpoort, R. V., & Bal, H. E. (2017). Software-defined networks in large-scale radio telescopes. In Proceedings of the Computing Frontiers Conference (pp. 263–266). Siena, Italy: ACM. https://doi.org/10.1145/3075564.3075594

Brunnabend, S.-E., Dijkstra, H. A., Kliphuis, M. A., Bal, H. E., Seinstra, F., van Werkhoven, B., van Meersbergen, M. (2017). Changes in extreme regional sea level under global warming. Ocean Science, 13(1), 47–60. https://doi.org/10.5194/os-13-47-2017

CLTL and Computer Science, Vrije Universiteit, Amsterdam, The Netherlands, Fokkens, A., Vossen, P., CLTL and Computer Science, Vrije Universiteit, Amsterdam, The Netherlands, Rospocher, M., Fondazione Bruno Kessler, Trento, Italy, Netherlands eScience Center, Amsterdam, The Netherlands. (2017). GRaSP: Grounded Representation and Source Perspective. In Proceedings of the Workshop Knowledge Resources for the Socio-Economic Sciences and Humanities (pp. 19–25). Incoma Ltd. Shoumen, Bulgaria. https://doi.org/10.26615/978-954-452-040-3_003

de Boer, V., Melgar, L., Inel, O., Ortiz, C. M., Aroyo, L., & Oomen, J. (2017). Enriching Media Collections for Event-Based Exploration. In E. Garoufallou, S. Virkus, R. Siatri, & D. Koutsomiha (Eds.), Metadata and Semantic Research (Vol. 755, pp. 189–201). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-70863-8_18

Doherty, A., Jackson, D., Hammerla, N., Plötz, T., Olivier, P., Granat, M. H., Wareham, N. J. (2017). Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study. PLOS ONE, 12(2), e0169649. https://doi.org/10.1371/journal.pone.0169649

Georgievska, S., Bakhshi, R., Gavai, A., Sclocco, A., & van Werkhoven, B. (2017). Clustering image noise patterns by embedding and visualization for common source camera detection. Digital Investigation. https://doi.org/10.1016/j.diin.2017.08.005

Heusinkveld, B. G., Sterenborg, G., Steeneveld, G. J., Attema, J. J., Ronda, R. J., & Holtslag, A. A. M. (2017). Smartphone App brings human thermal comfort forecast in your hands. Bulletin of the American Meteorological Society, 98(12), 2533–2541. https://doi.org/10.1175/BAMS-D-16-0082.1

Hut, R. W., van de Giesen, N. C., & Drost, N. (2017). Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al.: Let hydrologists learn the latest computer science by working with Research Software Engineers (RSEs) and not reinvent the waterwheel our: DO NOT REINVENT THE WATERWHEEL. Water Resources Research, 53(5), 4524–4526. https://doi.org/10.1002/2017WR020665

Janssen Duijghuijsen, L. M., Keijer, J., Mensink, M., Lenaerts, K., Ridder, L., Nierkens, S., van Norren, K. (2017). Adaptation of exercise-induced stress in well-trained healthy young men: Adaptation of exercise-induced stress. Experimental Physiology, 102(1), 86–99. https://doi.org/10.1113/EP086025

Jiménez, R. C., Kuzak, M., Alhamdoosh, M., Barker, M., Batut, B., Borg, M., Crouch, S. (2017). Four simple recommendations to encourage best practices in research software. F1000Research, 6, 876. https://doi.org/10.12688/f1000research.11407.1

Knuth, A. G., Silva, I. C. M., van Hees, V. T., Cordeira, K., Matijasevich, A., Barros, A. J. D., Hallal, P. C. (2017). Objectively-measured physical activity in children is influenced by social indicators rather than biological lifecourse factors: Evidence from a Brazilian cohort. Preventive Medicine, 97, 40–44. https://doi.org/10.1016/j.ypmed.2016.12.051

Kuzniar, A., Laffeber, C., Eppink, B., Bezstarosti, K., Dekkers, D., Woelders, H., Kanaar, R. (2017). Semi-quantitative proteomics of mammalian cells upon short-term exposure to non-ionizing electromagnetic fields. PLOS ONE, 12(2), e0170762. https://doi.org/10.1371/journal.pone.0170762

Leemans, I., van der Zwaan, J., Maks, I., Kuijpers, E., & Steenbergh, K. (2017). Mining Embodied Emotions: a Comparative Analysis of Sentiment and Emotion in Dutch Texts, 1600-1800. Digital Humanities Quarterly, 11(4). Retrieved from http://www.digitalhumanities.org/dhq/vol/11/4/000343/000343.html

Levin, L., Armour, W., Baffa, C., Barr, E., Cooper, S., Eatough, R., the SKA TDT team. (2017). Pulsar Searches with the SKA. In Proceedings of the International Astronomical Union (Vol. 13, pp. 171–174). https://doi.org/10.1017/S1743921317009528

Maarten van Meersbergen, Janneke van der Zwaan, Willem van Hage, Piek Vossen, Antske Fokkens, Inger Leemans, & Isa Maks. (2017). Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations. In Proceedings of nlp meets journalism, Copenhagen, Denmark, 2017. Copenhagen. Retrieved from http://www.aclweb.org/anthology/W17-4207

Maassen, J., van Werkhoven, B., van Meersbergen, M., Bal, H. E., Kliphuis, M., Brunnabend, S. E., Seinstra, F. J. (2017). On the complexities of utilizing large-scale lightpath-connected distributed cyberinfrastructure: On the complexities of utilizing large-scale lightpath-connected distributed cyberinfrastructure. Concurrency and Computation: Practice and Experience, 29(2), e3853. https://doi.org/10.1002/cpe.3853

Martinez Ortiz, C., Ordelman, R., Koolen, M., Noordegraaf, J., Melgar, L., Aroyo, L., Poell, T. (2017). From Tools to “Recipes”: Building a Media Suite within the Dutch Digital Humanities Infrastructure CLARIAH. Presented at the DH Benelux. Retrieved from https://dhbenelux2017.eu/programme/sessions/wednessday-afternoon/

Martinez Rubi, O., Nex, F., Pierrot-Deseilligny, M., & Rupnik, E. (2017). Improving FOSS photogrammetric workflows for processing large image datasets. Open Geospatial Data, Software and Standards, 2(1), 12. https://doi.org/10.1186/s40965-017-0024-5

McGuire, R., Verhoeven, S., Vass, M., Vriend, G., de Esch, I. J. P., Lusher, S. J., de Graaf, C. (2017). 3D-e-Chem-VM: Structural Cheminformatics Research Infrastructure in a Freely Available Virtual Machine. Journal of Chemical Information and Modeling, 57(2), 115–121. https://doi.org/10.1021/acs.jcim.6b00686

Menai, M., van Hees, V. T., Elbaz, A., Kivimaki, M., Singh-Manoux, A., & Sabia, S. (2017). Accelerometer assessed moderate-to-vigorous physical activity and successful ageing: results from the Whitehall II study. Scientific Reports, 8, 45772. https://doi.org/10.1038/srep45772

Oostrum, L. C., van Leeuwen, J., Attema, J., van Cappellen, W., Connor, L., Hut, B., Verheijen, M. A. W. (2017). Detection of a bright burst from FRB 121102 with Apertif at the Westerbork Synthesis Radio Telescope. The Astronomer’s Telegram, 10693.

Ouwersloot, H. G., Moene, A. F., Attema, J. J., & de Arellano, J. V.-G. (2017). Large-Eddy Simulation Comparison of Neutral Flow Over a Canopy: Sensitivities to Physical and Numerical Conditions, and Similarity to Other Representations. Boundary-Layer Meteorology, 162(1), 71–89. https://doi.org/10.1007/s10546-016-0182-5

Pelupessy, I., van Werkhoven, B., van Elteren, A., Viebahn, J., Candy, A., Portegies Zwart, S., & Dijkstra, H. (2017). The Oceanographic Multipurpose Software Environment (OMUSE v1.0). Geoscientific Model Development, 10(8), 3167–3187. https://doi.org/10.5194/gmd-10-3167-2017

Ranguelova, E. (2017). Local Shape and Moment Invariant Descriptor for Structured Images. In Proceedings of the 19th IMVIP (pp. 245–248). Maynooth, Ireland.

Ranguelova, E., Kuffer, M., Pfeffer, K., Roy, D., & Lees, M. (2017). Image Based Classification of Slums, Built-up and Non-built-up Areas in Kalyan, India (p. 58). Presented at the 37th EARSeL Symposium: Smart Future with Remote Sensing, Prague, Czech Republic. Retrieved from http://symposium.earsel.org/37th-symposium-Prague/wp-content/uploads/2016/06/2017_EARSeL_abstract_book.pdf

Remenska, D., Tunnell, C., Aalbers, J., Verhoeven, S., Maassen, J., & Templon, J. (2017). Giving pandas ROOT to chew on: experiences with the XENON1T Dark Matter experiment. Journal of Physics: Conference Series, 898, 042003. https://doi.org/10.1088/1742-6596/898/4/042003

Ridder, L. (2017). MAGMa-Based Mass Spectrum Annotation in CASMI 2014. Current Metabolomics, 5(1), 18–24. https://doi.org/10.2174/2213235X04666160620100844

Ronda, R. J., Steeneveld, G. J., Heusinkveld, B. G., Attema, J. J., & Holtslag, A. A. M. (2017). Urban fine-scale forecasting reveals weather conditions with unprecedented detail. Bulletin of the American Meteorological Society. https://doi.org/10.1175/BAMS-D-16-0297.1

Sutanudjaja, E. H., van Beek, R., Wanders, N., Wada, Y., Bosmans, J. H. C., Drost, N., Bierkens, M. F. P. (2017). PCR-GLOBWB 2: a 5 arc-minute global hydrological and water resources model. Geoscientific Model Development Discussions, 1–41. https://doi.org/10.5194/gmd-2017-288

Tjong Kim Sang, E., Esteve del Valle, M., Kruitbosch, H., & Broersma, M. (2017). Active Learning for Classifying Political Tweets. In International Conference on Natural Language, Signal and Speech Processing (pp. 110–114). Casablanca, Morocco: ISGA: Institut Superieur d’inGenieire & des Affaires. Retrieved from https://ifarm.nl/erikt/papers/2017-icnlssp.pdf

Tjong Kim Sang, E., Kruitbosch, H., Broersma, M., & Esteve del Valle, M. (2017). Determining the function of political tweets. In Proceedings of the 13th IEEE International Conference on eScience (eScience 2017) (pp. 438–439). Auckland, New Zealand: IEEE. https://doi.org/10.1109/eScience.2017.60

van den Oord, G., & Bakhshi, R. (2017). Parallel Post-Processing of the Earth Climate Model Output. Procedia Computer Science, 108, 2473–2477. https://doi.org/10.1016/j.procs.2017.05.146

van der Linden, E. C., Bintanja, R., & Hazeleger, W. (2017). Arctic decadal variability in a warming world: ARCTIC DECADAL VARIABILITY. Journal of Geophysical Research: Atmospheres, 122(11), 5677–5696. https://doi.org/10.1002/2016JD026058

van Hees, V. T. (2017). The importance of nuance in statements about methods for human energy expenditure estimation that use motion sensors. European Journal of Clinical Nutrition, 71(9), 1136–1137. https://doi.org/10.1038/ejcn.2017.65

van Hees, V. T., Sabia, S., Jones, S. E., Wood, A. R., Anderson, K., Trenell, M. I., Singh-Manoux, A. (2017). Assessment of sleep parameters from raw accelerometry data. In Sleep Medicine (Vol. 40, p. e333). https://doi.org/10.1016/j.sleep.2017.11.980

van Kuppevelt, D., & van Dijck, G. (2017). Answering Legal Research Questions About Dutch Case Law with Network Analysis and Visualization. In Frontiers in Artificial Intelligence and Applications (pp. 95–100). https://doi.org/10.3233/978-1-61499-838-9-95

van Oosterom, P., Martinez-Rubi, O., Tijssen, T., & Gonçalves, R. (2017). Realistic Benchmarks for Point Cloud Data Management Systems. In A. Abdul-Rahman (Ed.), Advances in 3D Geoinformation (pp. 1–30). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-25691-7_1

Varbanescu, A. L., van Nieuwpoort, R. V., Hijma, P., Bal, H. E., Badia, R. M., & Martorell, X. (2017). Programming Models for Multicore and Many-Core Computing Systems. In S. Pllana & F. Xhafa (Eds.), Programming multi-core and many-core computing systems (pp. 29–58). John Wiley & Sons, Inc. https://doi.org/10.1002/9781119332015.ch2

Vu, D., Georgievska, S., Szoke, S., Kuzniar, A., & Robert, V. (2017). fMLC: Fast Multi-Level Clustering and Visualization of Large Molecular Datasets. Bioinformatics, 34(9), 1577–1579. https://doi.org/10.1093/bioinformatics/btx810

Wilkinson, M. D., Verborgh, R., Bonino da Silva Santos, L. O., Clark, T., Swertz, M. A., Kelpin, F. D. L., Dumontier, M. (2017). Interoperability and FAIRness through a novel combination of Web technologies. PeerJ Computer Science, 3, e110. https://doi.org/10.7717/peerj-cs.110

Yatawatta, S., Diblen, F., Spreeuw, H., & Koopmans, L. V. E. (2017). Data Multiplexing in Radio Interferometric Calibration. Monthly Notices of the Royal Astronomical Society, 475(1), 708–715. https://doi.org/10.1093/mnras/stx3130

Yatawatta, Sarod, Diblen, Faruk, & Spreeuw, Hanno. (2017). Adaptive ADMM in Distributed Radio Interferometric Calibration. In 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) (pp. 1–5). IEEE. https://doi.org/10.1109/CAMSAP.2017.8313135

2016

Bal, H., Epema, D., de Laat, C., van Nieuwpoort, R., Romein, J., Seinstra, F., Wijshoff, H. (2016). A Medium-Scale Distributed System for Computer Science Research: Infrastructure for the Long Term. Computer, 49(5), 54–63. https://doi.org/10.1109/MC.2016.127

Bos, P., Wijfjes, H., Voerman, G., & Piscaer, M. (2016). Quantifying ‘Pillarization’: Extracting Political History from Large Databases of Digitized Media Collections. In M. Düring, A. Jatowt, J. Preiser-Kappeller, & A. van den Bosch (Eds.), Proceedings of the 3rd HistoInformatics Workshop(Vol. 1632). Krakow, Poland: CEUR Workshop Proceedings. https://doi.org/10.5281/zenodo.1189196

Ceolin, D., Groth, P., Maccatrozzo, V., Fokkink, W., Hage, W. R. V., & Nottamkandath, A. (2016). Combining User Reputation and Provenance Analysis for Trust Assessment. Journal of Data and Information Quality, 7(1–2), 1–28. https://doi.org/10.1145/2818382

Charman, S. J., van Hees, V. T., Quinn, L., Dunford, J. R., Bawamia, B., Veerasamy, M., Kunadian, V. (2016). The effect of percutaneous coronary intervention on habitual physical activity in older patients. BMC Cardiovascular Disorders, 16(1). https://doi.org/10.1186/s12872-016-0428-7

Chuwah, C., van Noije, T., van Vuuren, D. P., Le Sager, P., & Hazeleger, W. (2016). Global and regional climate impacts of future aerosol mitigation in an RCP6.0-like scenario in EC-Earth. Climatic Change, 134(1–2), 1–14. https://doi.org/10.1007/s10584-015-1525-9

da Silva Santos, L. O., Wilkinson, M. D., Kuzniar, A., Kaliyaperumal, R., Thompson, M., Dumontier, M., & Burger, K. (2016). FAIR Data Points Supporting Big Data Interoperability. In Enterprise Interoperability in the Digitized and Networked Factory of the Future. Retrieved from http://www.iste.co.uk/book.php?id=1073

de Kleijn, M., de Hond, R., & Martinez-Rubi, O. (2016). A 3D spatial data infrastructure for Mapping the Via Appia. Digital Applications in Archaeology and Cultural Heritage, 3(2), 23–32. https://doi.org/10.1016/j.daach.2016.03.001

Deppenmeier, A.-L., Haarsma, R. J., & Hazeleger, W. (2016). The Bjerknes feedback in the tropical Atlantic in CMIP5 models. Climate Dynamics, 47(7–8), 2691–2707. https://doi.org/10.1007/s00382-016-2992-z

Drost, N., Hut, R., van Meersbergen, M., Sutanudjaja, E., Bierkens, M., & van de Giesen, N. (2016). The eWaterCycle project. In 2016 IEEE 12th International Conference on e-Science (e-Science) (pp. 430–430). Baltimore, MD, USA: IEEE. https://doi.org/10.1109/eScience.2016.7870930

Fairclough, S. J., Noonan, R., Rowlands, A. V., Van Hees, V., Knowles, Z., & Boddy, L. M. (2016). Wear Compliance and Activity in Children Wearing Wrist- and Hip-Mounted Accelerometers: Medicine & Science in Sports & Exercise, 48(2), 245–253. https://doi.org/10.1249/MSS.0000000000000771

Goncalves, R., van Tilburg, T., Kyzirakos, K., Alvanaki, F., Koutsourakis, P., van Werkhoven, B., & van Hage, W. (2016). A spatial column-store to triangulate the Netherlands on the fly. (pp. 1–4). ACM Press. https://doi.org/10.1145/2996913.2997005

Goncalves, R., Zlatanova, S., Kyzirakos, K., Nourian, P., Alvanaki, F., & van Hage, W. (2016). A columnar architecture for modern risk management systems (pp. 424–429). IEEE. https://doi.org/10.1109/eScience.2016.7870929

Haarsma, R. J., Roberts, M. J., Vidale, P. L., Senior, C. A., Bellucci, A., Bao, Q., von Storch, J.-S. (2016). High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6. Geoscientific Model Development, 9(11), 4185–4208. https://doi.org/10.5194/gmd-9-4185-2016

Hildebrand, M., Hansen, B. H., van Hees, V. T., & Ekelund, U. (2016). Evaluation of raw acceleration sedentary thresholds in children and adults. Scandinavian Journal of Medicine & Science in Sports, 27(12), 1814–1823. https://doi.org/10.1111/sms.12795

Hut, R., Drost, N., van Meersbergen, M., Sutanudjaja, E., Bierkens, M., & van de Giesen, N. (2016). eWaterCycle: a hyper-resolution global hydrological model for river discharge forecasts made from open source pre-existing components. Geoscientific Model Development Discussions, 1–19. https://doi.org/10.5194/gmd-2016-225

Krikken, F., Schmeits, M., Vlot, W., Guemas, V., & Hazeleger, W. (2016). Skill improvement of dynamical seasonal Arctic sea ice forecasts: Improved Arctic Sea Ice Forecasts. Geophysical Research Letters, 43(10), 5124–5132. https://doi.org/10.1002/2016GL068462

Madougou, S., Varbanescu, A., de Laat, C., & van Nieuwpoort, R. (2016). The landscape of GPGPU performance modeling tools. Parallel Computing, 56, 18–33. https://doi.org/10.1016/j.parco.2016.04.002

Madougou, S., Varbanescu, A. L., Laat, C. D., & Nieuwpoort, R. V. (2016). A Tool for Bottleneck Analysis and Performance Prediction for GPU-Accelerated Applications. In 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (pp. 641–652). Chicago, IL, USA: IEEE. https://doi.org/10.1109/IPDPSW.2016.198

Martinez-Ortiz, Carlos, Kenter, Tom, Wevers, Melvin, Huijnen, Pim, Verheul, Jaap, & van Eijnatten, Joris. (2016). Design and implementation of ShiCo: Visualising shifting concepts over time. In Proceedings of the 3rd HistoInformatics Workshop on Computational History (Vol. 1632, pp. 11–19). Krakow, Poland: ceur. Retrieved from http://ceur-ws.org/Vol-1632/

Martinez-Rubi, O., de Kleijn, M., Verhoeven, S., Drost, N., Attema, J., van Meersbergen, M., Svetachov, P. (2016). Using modular 3D digital earth applications based on point clouds for the study of complex sites. International Journal of Digital Earth, 9(12), 1135–1152. https://doi.org/10.1080/17538947.2016.1205673

Meijer, C., Verhoeven, S., Ranguelova, E., Camphuysen, K., Shamoun-Baranes, J., & Bouten, W. (2016). Visually Supported Annotation of Bird Tracking data and Subsequent Classification of Behaviour using Machine Learning. Presented at the Visually-supported Computational Movement Analysis 2016, Helsinki. Retrieved from http://viz.icaci.org/vcma2016/programme/

Mizeranschi, A., Groen, D., Borgdorff, J., Hoekstra, A. G., Chopard, B., & Dubitzky, W. (2016). Anatomy and Physiology of Multiscale Modeling and Simulation in Systems Medicine. In U. Schmitz & O. Wolkenhauer (Eds.), Systems Medicine (Vol. 1386, pp. 375–404). New York, NY: Springer New York. https://doi.org/10.1007/978-1-4939-3283-2_17

Nourian, P., Gonçalves, R., Zlatanova, S., Ohori, K. A., & Vu Vo, A. (2016). Voxelization algorithms for geospatial applications. MethodsX, 3, 69–86. https://doi.org/10.1016/j.mex.2016.01.001

Otten, M., Vlothuizen, W., Spreeuw, H., & Varbanescu, A. (2016). Real-time processing of multi-channel SAR data with GPUs. In 2016 European Radar Conference (EuRAD). IEEE. Retrieved from http://ieeexplore.ieee.org/document/7811648/

Pelupessy, I., van Werkhoven, B., van Elteren, A., Viebahn, J., Candy, A., Zwart, S. P., & Dijkstra, H. (2016). OMUSE: Oceanographic multipurpose software environment (pp. 399–399). IEEE. https://doi.org/10.1109/eScience.2016.7870925

Ranguelova, E. (2016). A Salient Region Detector for structured images. In 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) (pp. 1–8). https://doi.org/10.1109/AICCSA.2016.7945643

Rasmijn, L. M., van der Schrier, G., Barkmeijer, J., Sterl, A., & Hazeleger, W. (2016). Simulating the extreme 2013/2014 winter in a future climate: SIMULATING THE EXTREME 2013/2014 WINTER. Journal of Geophysical Research: Atmospheres, 121(10), 5680–5698. https://doi.org/10.1002/2015JD024492

Sclocco, A., van Leeuwen, J., Bal, H. E., & van Nieuwpoort, R. V. (2016). Real-time dedispersion for fast radio transient surveys, using auto tuning on many-core accelerators. Astronomy and Computing, 14, 1–7. https://doi.org/10.1016/j.ascom.2016.01.001

Shamoun-Baranes, J., Bouten, W., van Loon, E. E., Meijer, C., & Camphuysen, C. J. (2016). Flap or soar? How a flight generalist responds to its aerial environment. Philosophical Transactions of the Royal Society B: Biological Sciences, 371(1704), 20150395. https://doi.org/10.1098/rstb.2015.0395

Tian, Y., Özcan, F., Zou, T., Goncalves, R., & Pirahesh, H. (2016). Building a Hybrid Warehouse: Efficient Joins between Data Stored in HDFS and Enterprise Warehouse. ACM Transactions on Database Systems, 41(4), 1–38. https://doi.org/10.1145/2972950

van der Molen, B., Buitinck, L. J., & Pieters, T. (2016). The leveled approach. Using and evaluating text mining tools AVResearcherXL and Texcavator for historical research on public perceptions of drugs. Presented at the 2nd IFIP International Workshop on Computational History and Data-driven Humanities on 25 May 2016, Trinity College Dublin, Ireland.

van der Zwaan, J. M., van Meersbergen, M., Fokkens, A., ter Braake, S., Leemans, I., Kuijpers, E., Maks, I. (2016). Storyteller: Visualizing Perspectives in Digital Humanities Projects. In B. Bozic, G. Mendel-Gleason, C. Debruyne, & D. O’Sullivan (Eds.), Computational History and Data-Driven Humanities (Vol. 482, pp. 78–90). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-46224-0_8

van der Zwaan, J., Marx, M., & Kamps, J. (2016). Validating Cross-Perspective Topic Modeling for Extracting Political Parties’ Positions from Parliamentary Proceedings. Frontiers in Artificial Intelligence and Applications, 285, 28–36. https://doi.org/10.3233/978-1-61499-672-9-28

van Esse, G. W., ten Hove, C. A., Guzzonato, F., van Esse, H. P., Boekschoten, M., Ridder, L., de Vries, S. C. (2016). Transcriptional Analysis of serk1 and serk3 Coreceptor Mutants. Plant Physiology, 172(4), 2516–2529. https://doi.org/10.1104/pp.16.01478

van Hees, V., Thaler-Kall, K., Wolf, K.-H., Brønd, J., Bonomi, A., Schulze, M., Horsch, A. (2016). Challenges and Opportunities for Harmonizing Research Methodology: Raw Accelerometry. Methods of Information in Medicine, 55(06), 525–532. https://doi.org/10.3414/ME15-05-0013

van Nieuwpoort, R. V. (2016). Towards exascale real-time RFI mitigation. In 2016 Radio Frequency Interference (RFI) (pp. 69–74). Socorro, NM, USA: IEEE. https://doi.org/10.1109/RFINT.2016.7833534

2015

Alvanaki, F., Goncalves, R., Ivanova, M., Kersten, M., & Kyzirakos, K. (2015). GIS navigation boosted by column stores. Proceedings of the VLDB Endowment, 8(12), 1956–1959. https://doi.org/10.14778/2824032.2824110

Attema, J. J., Heusinkveld, B. G., Ronda, R. J., Steeneveld, G. J., & Holtslag, A. A. M. (2015). Summer in the City: Forecasting and Mapping Human Thermal Comfort in Urban Areas. In 2015 IEEE 11th International Conference on e-Science (pp. 243–248). Munich, Germany: IEEE. https://doi.org/10.1109/eScience.2015.21

Bakker, R., Fangstrom, D., Koek, M., Ranguelova, E., Meulenbroek, O., Burgmans, S., Tiesinga, P. (2015). Frontiers | A hippocampal volume-based biomarker for use in multi-cohort, heterogeneous MRI data sets. In Fronteers of Neuroinformatics. https://doi.org/10.3389/conf.fninf.2015.19.00042

Bell, J. A., Hamer, M., van Hees, V. T., Singh-Manoux, A., Kivimaki, M., & Sabia, S. (2015). Healthy obesity and objective physical activity. American Journal of Clinical Nutrition, 102(2), 268–275. https://doi.org/10.3945/ajcn.115.110924

Borgdorff, J., Krishna, H., & Lees, M. H. (2015). SIM-CITY: An e-Science framework for Urban Assisted Decision Support. Procedia Computer Science, 51, 2327–2336. https://doi.org/10.1016/j.procs.2015.05.399

Buitinck, L., van Amerongen, J., Tan, E., & de Rijke, M. (2015). Multi-emotion Detection in User-Generated Reviews. In A. Hanbury, G. Kazai, A. Rauber, & N. Fuhr (Eds.), Advances in Information Retrieval (Vol. 9022, pp. 43–48). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-16354-3_5

Buschenhenke, F., van Dalen-Oskam, K., Martinez-Ortiz, C., & Koolen, M. (2015). Beyond the Book: globalization in literature from a digital perspective. Presented at the DH Benelux. Retrieved from http://dhbenelux.org/wp-content/uploads/2015/04/25.pdf

Cavelaars, M., Rousseau, J., Parlayan, C., de Ridder, S., Verburg, A., Ross, R., Verheul, H. (2015). OpenClinica. In Journal of Clinical Bioinformatics (Vol. 5, p. S2). https://doi.org/10.1186/2043-9113-5-S1-S2

Corti, S., Palmer, T., Balmaseda, M., Weisheimer, A., Drijfhout, S., Dunstone, N., Wouters, B. (2015). Impact of Initial Conditions versus External Forcing in Decadal Climate Predictions: A Sensitivity Experiment. Journal of Climate, 28(11), 4454–4470. https://doi.org/10.1175/JCLI-D-14-00671.1

D’Agostino, D., & Seinstra, F. J. (2015). A parallel isosurface extraction component for visualization pipelines executing on GPU clusters. Journal of Computational and Applied Mathematics, 273, 383–393. https://doi.org/10.1016/j.cam.2014.05.019

Eijssen, L., Evelo, C., Kok, R., Mons, B., Hooft, R., & and the other founding members of DTL Data (see Acknowledgements). (2015). The Dutch Techcentre for Life Sciences: Enabling data-intensive life science research in the Netherlands. F1000Research. https://doi.org/10.12688/f1000research.6009.2

Fleuren, W. W. M., & Alkema, W. (2015). Application of text mining in the biomedical domain. Methods, 74, 97–106. https://doi.org/10.1016/j.ymeth.2015.01.015

Goncalves, R., Ivanova, M., Alvanaki, F., Maassen, J., Kyzirakos, K., Martinez-Rubi, O., & Muhleisen, H. (2015). A Round Table for Multi-disciplinary Research on Geospatial and Climate Data (pp. 165–170). IEEE. https://doi.org/10.1109/eScience.2015.65

Haren, R. van, Haarsma, R. J., Vries, H. de, Oldenborgh, G. J. van, & Hazeleger, W. (2015). Resolution dependence of circulation forced future central European summer drying. Environmental Research Letters, 10(5), 055002. https://doi.org/10.1088/1748-9326/10/5/055002

Hazeleger, W., van den Hurk, B. J. J. M., Min, E., van Oldenborgh, G. J., Petersen, A. C., Stainforth, D. A., Smith, L. A. (2015). Tales of future weather. Nature Climate Change, 5(2), 107–113. https://doi.org/10.1038/nclimate2450

Hijma, P., van Nieuwpoort, R. V., Jacobs, C. J. H., & Bal, H. E. (2015). Stepwise-refinement for performance: a methodology for many-core programming: Stepwise-Refinement for Performance. Concurrency and Computation: Practice and Experience, 27(17), 4515–4554. https://doi.org/10.1002/cpe.3416

Hijma, Pieter, Jacobs, C. J. H., Nieuwpoort, R. V. van, & Bal, H. E. (2015). Cashmere: Heterogeneous Many-Core Computing. In 2015 IEEE International Parallel and Distributed Processing Symposium (pp. 135–145). Hyderabad, India: IEEE. https://doi.org/10.1109/IPDPS.2015.38

Krikken, F., & Hazeleger, W. (2015). Arctic Energy Budget in Relation to Sea Ice Variability on Monthly-to-Annual Time Scales. Journal of Climate, 28(16), 6335–6350. https://doi.org/10.1175/JCLI-D-15-0002.1

Locati, M. D., Terpstra, I., de Leeuw, W. C., Kuzak, M., Rauwerda, H., Ensink, W. A., Dekker, R. J. (2015). Improving small RNA-seq by using a synthetic spike-in set for size-range quality control together with a set for data normalization. Nucleic Acids Research, 43(14), e89–e89. https://doi.org/10.1093/nar/gkv303

Lusher, S. J., & Ritschel, T. (2015). Finding the right approach to big data-driven medicinal chemistry. Future Medicinal Chemistry, 7(10), 1213–1216. https://doi.org/10.4155/fmc.15.58

Martinez-Ortiz, C., Aroyo, L., Inel, O., Champilomatis, S., Dumitrache, A., & Timmermans, B. (2015). Provenance-driven Representation of Crowdsourcing Data for Efficient Data Analysis (pp. 300–303). IEEE. https://doi.org/10.1109/eScience.2015.63

Martinez-Ortiz, C., Koolen, M., Buschenhenke, F., & Dalen-Oskam, K. van. (2015). Beyond the Book: Linking Books to Wikipedia. In 2015 IEEE 11th International Conference on e-Science (pp. 12–21). Munich, Germany: IEEE. https://doi.org/10.1109/eScience.2015.12

Martinez-Ortiz, Carlos, Buschenhenke, Floor, van Dalen-Oskam, Karina, & Koolen, Marijn. (2015). Predicting the international Appeal of novels. Presented at the Digitial Humanities Conference 2015, Sydney, Australia. Retrieved from http://dh2015.org/abstracts/xml/KOOLEN_Marijn_Predicting_the_International_Appeal/ KOOLEN_Marijn_Predicting_the_International_Appeal/

Martinez-Rubi, O., van Oosterom, P., Gonçalves, R., Tijssen, T., Ivanova, M., Kersten, M. L., & Alvanaki, F. (2015). Benchmarking and improving point cloud data management in MonetDB. SIGSPATIAL Special, 6(2), 11–18. https://doi.org/10.1145/2744700.2744702

Martinez-Rubi, O., Verhoeven, S., van Meersbergen, M., Schutz, M., van Oosterom, P., Goncalves, R., & Tijssen, T. (2015). Taming the beast: Free and open-source massive point cloud web visualization. Presented at the Capturing Reality Forum, Salzburg, Austria: Zenodo. https://doi.org/10.5281/zenodo.1051101

Mihaleva, V. V., Ünlü, F. Y., Vervoort, J., & Ridder, L. (2015). Automated Annotation of Microbial and Human Flavonoid-Derived Metabolites. In S. Kochhar & F.-P. Martin (Eds.), Metabonomics and Gut Microbiota in Nutrition and Disease (pp. 109–124). London: Springer London. https://doi.org/10.1007/978-1-4471-6539-2_6

Sabia, S., Cogranne, P., van Hees, V. T., Bell, J. A., Elbaz, A., Kivimaki, M., & Singh-Manoux, A. (2015). Physical Activity and Adiposity Markers at Older Ages: Accelerometer Vs Questionnaire Data. Journal of the American Medical Directors Association, 16(5), 438.e7-438.e13. https://doi.org/10.1016/j.jamda.2015.01.086

Sclocco, A., Bal, H. E., & Nieuwpoort, R. V. van. (2015). Finding Pulsars in Real-Time. In 2015 IEEE 11th International Conference on e-Science (pp. 98–107). Munich, Germany: IEEE. https://doi.org/10.1109/eScience.2015.11

Sclocco, A., van Leeuwen, J., Bal, H. E., & van Nieuwpoort, R. V. (2015). A real-time radio transient pipeline for ARTS. In 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (pp. 468–472). Orlando, FL, USA: IEEE. https://doi.org/10.1109/GlobalSIP.2015.7418239

van der Zwaan, J., Leemans, I., Kuijpers, E., & Maks, I. (2015). HEEM, a Complex Model for Mining Emotions in Historical Text. In 2015 IEEE 11th International Conference on e-Science (pp. 22–30). Munich, Germany: IEEE. https://doi.org/10.1109/eScience.2015.18

van Haren, R., Haarsma, R. J., Van Oldenborgh, G. J., & Hazeleger, W. (2015). Resolution Dependence of European Precipitation in a State-of-the-Art Atmospheric General Circulation Model. Journal of Climate, 28(13), 5134–5149. https://doi.org/10.1175/JCLI-D-14-00279.1

van Hees, V. T., Sabia, S., Anderson, K. N., Denton, S. J., Oliver, J., Catt, M., Singh-Manoux, A. (2015). A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer. PLOS ONE, 10(11), e0142533. https://doi.org/10.1371/journal.pone.0142533

van Oosterom, P., Martinez-Rubi, O., Ivanova, M., Horhammer, M., Geringer, D., Ravada, S., Gonçalves, R. (2015). Massive point cloud data management: Design, implementation and execution of a point cloud benchmark. Computers & Graphics, 49, 92–125. https://doi.org/10.1016/j.cag.2015.01.007

Werkhoven, B. van, & Hijma, P. (2015). An Integrated Approach to Porting Large Scientific Applications to GPUs. In 2015 IEEE 11th International Conference on e-Science (pp. 57–66). Munich, Germany: IEEE. https://doi.org/10.1109/eScience.2015.23

2014

Bakker, R., Koek, M., Ranguelova, E., de Boer, P., Meulenbroek, O., Burgmans, S., Tiesinga, Paul. (2014). Frontiers | eScience Infrastructure for running validated image analysis pipelines: <br />how to best compare MRI scans from different medical centers. In Fronteers of Neuroinformatics. https://doi.org/10.3389/conf.fninf.2014.18.00088

Bierkens, M. F. P., Bell, V. A., Burek, P., Chaney, N., Condon, L. E., David, C. H., Wood, E. F. (2014). Hyper-resolution global hydrological modelling: what is next?: “Everywhere and locally relevant”. Hydrological Processes, 29(2), 310–320. https://doi.org/10.1002/hyp.10391

Bintanja, R., Severijns, C., Haarsma, R., & Hazeleger, W. (2014a). The future of Antarctica’s surface winds simulated by a high-resolution global climate model: 1. Model description and validation: THE FUTURE OF ANTARCTICA’S SURFACE WINDS. Journal of Geophysical Research: Atmospheres, 119(12), 7136–7159. https://doi.org/10.1002/2013JD020847

Bintanja, R., Severijns, C., Haarsma, R., & Hazeleger, W. (2014b). The future of Antarctica’s surface winds simulated by a high-resolution global climate model: 2. Drivers of 21st century changes: The future of Antarctica’s surface winds. Journal of Geophysical Research: Atmospheres, 119(12), 7160–7178. https://doi.org/10.1002/2013JD020848

Brunnabend, S.-E., Dijkstra, H. A., Kliphuis, M. A., van Werkhoven, B., Bal, E., Seinstra, F., van Meersbergen, M. (2014a). Changes in extreme regional sea surface height due to an abrupt weakening of the Atlantic MOC. Ocean Science Discussions, 11(2), 1213–1241. https://doi.org/10.5194/osd-11-1213-2014

Brunnabend, S.-E., Dijkstra, H. A., Kliphuis, M. A., van Werkhoven, B., Bal, H. E., Seinstra, F., van Meersbergen, M. (2014b). Changes in extreme regional sea surface height due to an abrupt weakening of the Atlantic meridional overturning circulation. Ocean Science, 10(6), 881–891. https://doi.org/10.5194/os-10-881-2014

da Silva, I. C., van Hees, V. T., Ramires, V. V., Knuth, A. G., Bielemann, R. M., Ekelund, U., Hallal, P. C. (2014). Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry. International Journal of Epidemiology, 43(6), 1959–1968. https://doi.org/10.1093/ije/dyu203

Hildebrand, M., Van Hees, V. T., Hansen, B. H., & Ekelund, U. (2014). Age Group Comparability of Raw Accelerometer Output from Wrist- and Hip-Worn Monitors: Medicine & Science in Sports & Exercise, 46(9), 1816–1824. https://doi.org/10.1249/MSS.0000000000000289

Lusher, S. J., McGuire, R., van Schaik, R. C., Nicholson, C. D., & de Vlieg, J. (2014). Data-driven medicinal chemistry in the era of big data. Drug Discovery Today, 19(7), 859–868. https://doi.org/10.1016/j.drudis.2013.12.004

Madougou, S., Varbanescu, A. L., de Laat, C., & van Nieuwpoort, R. (2014). An Empirical Evaluation of GPGPU Performance Models. In L. Lopes, J. Žilinskas, A. Costan, R. G. Cascella, G. Kecskemeti, E. Jeannot, M. Alexander (Eds.), Euro-Par 2014: Parallel Processing Workshops(Vol. 8805, pp. 165–176). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-14325-5_15

Madougou, S., Varbanescu, A. L., & Nieuwpoort, R. V. (2014). Optimizing a Calibration Software for Radio Astronomy. In 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS) (pp. 1158–1165). Paris, France: IEEE. https://doi.org/10.1109/HPCC.2014.189

Piersma, H., Tames, I. M., Buitinck, L. J., van Doornik, J., & Marx, M. J. (2014). War in Parliament: What a Digital Approach Can Add to the Study of Parliamentary History. Digital Humanities Quarterly, 8(1). Retrieved from www.digitalhumanities.org/dhq/vol/8/1/000176/000176.html

Ridder, L., van der Hooft, J. J. J., & Verhoeven, S. (2014). Automatic Compound Annotation from Mass Spectrometry Data Using MAGMa. Mass Spectrometry, 3(Special_Issue_2), S0033–S0033. https://doi.org/10.5702/massspectrometry.S0033

Ridder, L., van der Hooft, J. J. J., Verhoeven, S., de Vos, R. C. H., Vervoort, J., & Bino, R. J. (2014). In Silico Prediction and Automatic LC–MSn Annotation of Green Tea Metabolites in Urine. Analytical Chemistry, 86(10), 4767–4774. https://doi.org/10.1021/ac403875b

Sabia, S., van Hees, V. T., Shipley, M. J., Trenell, M. I., Hagger-Johnson, G., Elbaz, A., Singh-Manoux, A. (2014). Association Between Questionnaire- and Accelerometer-Assessed Physical Activity: The Role of Sociodemographic Factors. American Journal of Epidemiology, 179(6), 781–790. https://doi.org/10.1093/aje/kwt330

Sanders, M. P., Ridder, L., Alkema, W., Fleuren, W. W., & Lusher, S. J. (2014). Data-driven food research - The 4th paradigm applied to nutrition. PharmaNutrition, 2(3), 84. https://doi.org/10.1016/j.phanu.2013.11.027

Sclocco, A., Bal, H. E., Hessels, J., Leeuwen, J. van, & Nieuwpoort, R. V. van. (2014). Auto-Tuning Dedispersion for Many-Core Accelerators. In 2014 IEEE 28th International Parallel and Distributed Processing Symposium (pp. 952–961). Phoenix, AZ, USA: IEEE. https://doi.org/10.1109/IPDPS.2014.101

van Hees, V. T., Fang, Z., Langford, J., Assah, F., Mohammad, A., da Silva, I. C. M., Brage, S. (2014). Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents. Journal of Applied Physiology, 117(7), 738–744. https://doi.org/10.1152/japplphysiol.00421.2014

van Werkhoven, B., Maassen, J., Kliphuis, M., Dijkstra, H. A., Brunnabend, S. E., van Meersbergen, M., Bal, H. E. (2014). A distributed computing approach to improve the performance of the Parallel Ocean Program (v2.1). Geoscientific Model Development, 7(1), 267–281. https://doi.org/10.5194/gmd-7-267-2014

van Werkhoven, Ben, Maassen, J., Bal, H. E., & Seinstra, F. J. (2014). Optimizing convolution operations on GPUs using adaptive tiling. Future Generation Computer Systems, 30, 14–26. https://doi.org/10.1016/j.future.2013.09.003

Werkhoven, B. van, Maassen, J., Seinstra, F. J., & Bal, H. E. (2014). Performance Models for CPU-GPU Data Transfers. In 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (pp. 11–20). Chicago, IL, USA: IEEE. https://doi.org/10.1109/CCGrid.2014.16

2013

S.J. Lusher, P. Conti, W. Dokter, P.H. Hermkens, J. De Vlieg, Drug design approaches to manipulate the agonist-antagonist equilibrium in steroid receptors, in: Steroid Hormones, 2011: pp. 221–234.

J.J.J. van der Hooft, R.C.H. de Vos, V. Mihaleva, R.J. Bino, L. Ridder, N. de Roo, et al., Structural elucidation and quantification of phenolic conjugates present in human urine after tea intake., Analytical Chemistry. 84 (2012) 7263–71.

R. Lonsdale, S. Hoyle, D.T. Grey, L. Ridder, A.J. Mulholland, Determinants of reactivity and selectivity in soluble epoxide hydrolase from quantum mechanics/molecular mechanics modeling., Biochemistry. 51 (2012) 1774–86.

P. Elfferich, M.E. van Royen, D.J. van de Wijngaart, J. Trapman, S.L.S. Drop, S.J. Lusher, E.L.T. van den Akker, et al., Variable Loss of Functional Activities of Androgen Receptor Mutants in Patients with Androgen Insensitivity Syndrome, Sexual Development. 7 (2013) 223–234.

W.W.M. Fleuren, E.J.M. Toonen, S. Verhoeven, R. Frijters, T. Hulsen, T. Rullmann, et al., Identification of new biomarker candidates for glucocorticoid induced insulin resistance using literature mining, BioData Mining. 6 (2013).

L. Ridder, J.J.J. Van Der Hooft, S. Verhoeven, R.C.H. De Vos, R.J. Bino, J. Vervoort, Automatic chemical structure annotation of an LC-MSn based metabolic profile from green tea., Analytical Chemistry. (2013).

L. Ridder, J.J.J. Van Der Hooft, S. Verhoeven, R.C.H. De Vos, R. Van Schaik, J. Vervoort, Substructure-based annotation of high-resolution multistage MS(n) spectral trees., Rapid Communications in Mass Spectrometry RCM. 26 (2012)

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