Leon Helwerda

Welkom

[Foto van Leon]

Dit is de persoonlijke website van Leon Helwerda. Hier worden de wetenschappelijke en onderwijsgerelateerde gegevens van Leon beschikbaar gesteld.

Onderzoeksprojecten

Focusgebieden

Opleiding

Lesgeven en assisteren

Publicaties

  1. 2020: A. Zammit, L. Helwerda, R.C.L. Olsthoorn, F.J. Verbeek, A.P. Gultyaev. A database of flavivirus RNA structures with a search algorithm for pseudoknots and triple base interactions. Bioinformatics, vol. 37 issue 7, pp. 956–962; 10.1093/bioinformatics/btaa759; BibTeX
  2. 2020: I. Martorelli, L. Helwerda, J. Kerkvliet, S.I.F. Gomes, J. Nuytinck, C.R.A. van der Werff, G.J. Ramackers, A.P. Gultyaev, V.S.F.T. Merckx, F.J. Verbeek. Fungal metabarcoding data integration framework for the MycoDiversity DataBase (MDDB). Journal of Integrative Bioinformatics, vol. 17 issue 1, article 20190046; 10.1515/jib-2019-0046; BibTeX
  3. 2017: L. Helwerda, F. Niessink, F.J. Verbeek. Conceptual Process Models and Quantitative Analysis of Classification Problems in Scrum Software Development Practices. In: A. Fred, J. Felipe (eds) Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017 - KDIR), Madeira, pp. 357–366; 10.5220/0006602803570366; BibTeX
  4. 2017: K.J. Batenburg, L. Helwerda, W.A. Kosters, T. van der Meij. Mobile Radio Tomography: Agent-Based Imaging. In: T. Bosse, B. Bredeweg (eds) BNAIC 2016: Artificial Intelligence. Communications in Computer and Information Science, vol. 765, pp. 63–77. Springer (extended version of [5]); 10.1007/978-3-319-67468-1_5; BibTeX
  5. 2016: K.J. Batenburg, L. Helwerda, W.A. Kosters, T. van der Meij. Agents for mobile radio tomography. In: Proceedings of the 28th Benelux Conference on Artificial Intelligence (BNAIC), Amsterdam, pp. 17–24; BibTeX
  6. 2016: L. Helwerda. Mobile radio tomography: Autonomous vehicle planning for dynamic sensor positions. Masters thesis. LIACS, Universiteit Leiden
  7. 2016: L. Helwerda. Mobile radio tomography: Object detection using autonomous unmanned vehicles. Masters research project report. LIACS, Universiteit Leiden
  8. 2014: L. Helwerda. Theory and Applications of Deep Learning Networks. Bachelor’s thesis. LIACS, Universiteit Leiden

Deze publicaties zijn ook beschikbaar als gebundelde download in BibTeX formaat.

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