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dhr. dr. P. (Peter) Bloem

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute

  • Science Park 904
  • Postbus 94323
    1090 GH Amsterdam
  • Publicaties


    • Schlichtkrull, M., Kipf, T. N., Bloem, P., van den Berg, R., Titov, I., & Welling, M. (2018). Modeling Relational Data with Graph Convolutional Networks. In A. Gangemi, R. Navigli, M-E. Vidal, P. Hitzler, R. Troncy, L. Hollink, A. Tordai, ... M. Alam (Eds.), The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018 : proceedings (pp. 593-607). (Lecture Notes in Computer Science; Vol. 10843). Cham: Springer. https://doi.org/10.1007/978-3-319-93417-4_38 [details]


    • Bloem, P., de Rooij, S., & Adriaans, P. (2015). Two problems for sophistication. In K. Chaudhuri, C. Gentile, & S. Zilles (Eds.), Algorithmic Learning Theory: 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015 : proceedings (pp. 379-394). (Lecture Notes in Computer Science; Vol. 9355), (Lecture Notes in Artificial Intelligence). Cham: Springer. https://doi.org/10.1007/978-3-319-24486-0_25 [details]
    • Wibisono, A., Bloem, P., de Vries, G. K. D., Groth, P., Belloum, A., & Bubak, M. (2015). Generating scientific documentation for computational experiments using provenance. In B. Ludäscher, & B. Plale (Eds.), Provenance and Annotation of Data and Processes: 5th International Provenance and Annotation Workshop, IPAW 2014, Cologne, Germany, June 9-13, 2014 : revised selected papers (pp. 168-179). (Lecture Notes in Computer Science; Vol. 8628). Cham: Springer. https://doi.org/10.1007/978-3-319-16462-5_13 [details]


    • Bloem, P., & de Vries, G. K. D. (2014). Machine Learning on Linked Data, a Position Paper. CEUR Workshop Proceedings, 1232, 69-68. [7]. [details]
    • Bloem, P., Mota, F., de Rooij, S., Antunes, L., & Adriaans, P. (2014). A safe approximation for Kolmogorov complexity. In P. Auer, A. Clark, T. Zeugman, & S. Zilles (Eds.), Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014 : proceedings (pp. 336-350). (Lecture Notes in Computer Science; Vol. 8776), (Lecture Notes in Artificial Intelligence). Cham: Springer. https://doi.org/10.1007/978-3-319-11662-4_24 [details]
    • Bloem, P., Wibisono, A., & de Vries, G. K. D. (2014). Simplifying RDF data for graph-based machine learning. In H. Paulheim, J. Völker, J. Lehmann, H. Sack, & V. Svatek (Eds.), Proceedings of the 3rd Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD 2014)


    • Bloem, P. (2013). Compression-based inference on graph data. In A. van den Bosch, T. Heskes, & D. van Leeuwen (Eds.), BENELEARN 2013: Proceedings of the 22nd Belgian-Dutch Conference on Machine Learning (pp. 26-33). Nijmegen: Raboud University Nijmegen. [details]


    • van Eijk, N. (Author), Roessler, B. (Author), Zuiderveen Borgesius, F. (Author), Oostveen, M. (Author), et al., U. (Author), van Son, R. (Author), ... Taylor, L. (Author). (2014). Academics Against Mass Surveillance. Web publication/site, Retrieved from http://www.academicsagainstsurveillance.org/ [details]


    • Schlichtkrull, M. S., Kipf, T. N., Bloem, P., van den Berg, R., Titov, I. A. & Welling, M. (2018). ESWC Best Student Research Paper Award.


    • Bloem, P. (2016). Single sample statistics: Exercises in learning from just one example. [details]
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
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