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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.

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

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.

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.

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.

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.

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.

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).

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.

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.

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.

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.

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.

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

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

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.

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.

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.

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.

Nikishova, A., Veen, L., Zun, P., & Hoekstra, A. G. (2018). Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis. Cardiovascular Engineering and Technology.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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).

van Nieuwpoort, R., van Leeuwen, J., Sclocco, A., Spreeuw, H., & Williams, C. (2018). Real-Time RFI Mitigation for LOFAR, Apertif and SKA.

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.


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.

Allen, A., Aragon, C., Becker, C., Carver, J., Chis, A., Combemale, B., Herbstritt, M. (2017). Engineering Academic Software (Dagstuhl Perspectives Workshop 16252) (p. ).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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).

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

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.

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

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.

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.

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.

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.

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.

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

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.

Ridder, L. (2017). MAGMa-Based Mass Spectrum Annotation in CASMI 2014. Current Metabolomics, 5(1), 18–24.

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.

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.

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

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.

van den Oord, G., & Bakhshi, R. (2017). Parallel Post-Processing of the Earth Climate Model Output. Procedia Computer Science, 108, 2473–2477.

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.

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.

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).

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).

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.

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.

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.

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.

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.

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.


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.

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.

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.

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).

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Madougou, S., Varbanescu, A., de Laat, C., & van Nieuwpoort, R. (2016). The landscape of GPGPU performance modeling tools. Parallel Computing, 56, 18–33.

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.

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

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.

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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.

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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.

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.

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.

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.

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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.

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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.

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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.

Lusher, S. J., & Ritschel, T. (2015). Finding the right approach to big data-driven medicinal chemistry. Future Medicinal Chemistry, 7(10), 1213–1216.

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.

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.

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 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.

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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.

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.

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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.

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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.

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.

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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.

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.

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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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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