Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor

ORCID: 0000-0003-2917-3602

Publication year:
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1 - 19 out of 19Page size: 500
  1. 2024
  2. Published

    AI Implementation and Capability Development in Manufacturing: An Action Research Case

    Eklöf, Jon, Snis, U. L., Hamelryck, Thomas Wim, Grima, A. & Rønning, Ola, 2024, Proceedings of the 57th Hawaii International Conference on System Sciences - HICSS 2024. Hawaii International Conference on System Sciences, 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. 2022
  4. Published

    Mixture Models for Spherical Data with Applications to Protein Bioinformatics

    Mardia, K. V., Barber, S., Burdett, P. M., Kent, J. T. & Hamelryck, Thomas Wim, 2022, Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale. Springer, p. 15-32 (Forum for Interdisciplinary Mathematics).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  5. Published

    Persistent Topology of Protein Space

    Hamilton, W., Borgert, J. E., Hamelryck, Thomas Wim & Marron, J. S., 2022, Research in Computational Topology 2. Springer, p. 223-244 (Association for Women in Mathematics Series, Vol. 30).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  6. 2021
  7. Published

    Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model

    Thygesen, Christian Bahne, Al-Sibahi, A. S., Steenmanns, C. S., Sanz Moreta, Lys, Sørensen, A. B. & Hamelryck, Thomas Wim, 2021, International Conference on Machine Learning, 18-24 July 2021, Virtual. PMLR, p. 10258-10267 (Proceedings of Machine Learning Research, Vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    Time-efficient Bayesian Inference for a (Skewed) von Mises Distribution on the Torus in a Deep Probabilistic Programming Language

    Rønning, Ola, Ley, C., Mardia, K. V. & Hamelryck, Thomas Wim, 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). IEEE, p. 1-8

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. 2020
  10. Published

    Bayesian protein superposition using Hamiltonian Monte Carlo

    Sanz Moreta, Lys, Al-Sibahi, A. S. & Hamelryck, Thomas Wim, Oct 2020, Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020. IEEE, p. 1-11 9288019

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  11. 2019
  12. Published

    A Probabilistic Programming Approach to Protein Structure Superposition

    Sanz Moreta, Lys, Al-Sibahi, A. S., Theobald, D., Bullock, W., Rommes, B. N., Manoukian, Andreas & Hamelryck, Thomas Wim, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019. Baruzzo, G., Daberdaku, S., Di Camillo, B., Furini, S., Giordano, E. D. & Nicosia, G. (eds.). IEEE, 5 p. 8791469

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  13. 2018
  14. Published

    Toroidal Diffusions and Protein Structure Evolution

    Garcia Portugues, E., Golden, M., Sørensen, Michael, Mardia, K. V., Hamelryck, Thomas Wim & Hein, J., 2018, Applied Directional Statistics: Modern Methods and Case Studies. Ley, C. & Verdebout, H. (eds.). CRC Press, 34 p.

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  15. 2015
  16. Published

    Proteins, physics and probability kinematics: a Bayesian formulation of the protein folding problem

    Hamelryck, Thomas Wim, Boomsma, Wouter, Ferkinghoff-Borg, J., Foldager, J. I., Frellsen, J., Haslett, J. & Theobald, D., 2015, Geometry driven statistics. Dryden, I. L. & Kent, J. T. (eds.). Wiley, p. 356-376 21 p.

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  17. 2013
  18. Published

    Combining the multicanonical ensemble with generative probabilistic models of local biomolecular structure

    Frellsen, J., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2013, Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013 . Hague, p. 139-144 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

  19. Published

    Parallel GPGPU Evaluation of Small Angle X-ray Scattering Profiles in a Markov Chain Monte Carlo Framework

    Antonov, L. D., Andreetta, C. & Hamelryck, Thomas Wim, 2013, Biomedical Engineering Systems and Technologies. Gabriel, J., Schier, J. & Huffel, S. V. (eds.). Springer Science+Business Media, Vol. 357. p. 222-235 14 p. (Communications in Computer and Information Science).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  20. 2012
  21. Published

    An Overview of Bayesian Inference and Graphical Models

    Hamelryck, Thomas Wim, 2012, Bayesian Methods in Structural Bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer, p. 3-48 46 p. (Statistics for Biology and Health, Springer).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  22. Published

    On the Physical Relevance and Statistical Interpretation of Knowledge-Based Potentials

    Borg, M., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2012, Bayesian Methods in Structural Bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer Publishing Company, p. 97-124 28 p. (Statistics for Biology and Health, Springer).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  23. Published

    Probabilistic models of local biomolecular structure and their applications

    Boomsma, Wouter, Frellsen, J. & Hamelryck, Thomas Wim, 2012, Bayesian methods in structural bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer, p. 233-254 22 p. (Statistics for Biology and Health, Springer).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  24. Published

    Towards a general probabilistic model of protein structure: the reference ratio method

    Frellsen, J., Mardia, K. V., Borg, M., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2012, Bayesian methods in structural bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer, p. 125-134 10 p. (Statistics for Biology and Health).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  25. 2011
  26. Published

    Efficient, non-disruptive local moves for Monte Carlo sampling of proteins

    Bottaro, S., Boomsma, Wouter, Johansson, Kristoffer Enøe, Andreetta, C., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2011, Next Generation Statistics in Biosciences: Proceedings of the 30th Leeds Annual Statistical Research (LASR) Workshop. Mardia, K. V., Gusnanto, A., Riley, A. D. & Voss, J. (eds.). University of Leeds, p. 127 1 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

  27. 2009
  28. Published

    A probabilistic approach to protein structure prediction: PHAISTOS in CASP8

    Borg, M., Boomsma, Wouter, Ferkinghoff-Borg, J., Frellsen, J., Harder, T. P., Mardia, K., Røgen, P., Stovgaard, K. & Hamelryck, Thomas Wim, 2009, LASR 2009 — Statistical Tools for Challenges in Bioinformatics. Proceedings. Gusnanto, A., Mardia, K. V. & Fallaize, C. J. (eds.). University of Leeds, p. 65-70 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  29. 2006
  30. Published

    Graphical models and directional statistics capture protein structure

    Boomsma, Wouter, Kent, J. T., Mardia, K. V., Taylor, C. C. & Hamelryck, Thomas Wim, 2006, Interdisciplinary Statistics and Bioinformatics. Barber, S., Baxter, P. D., Mardia, K. V. & Walls, R. E. (eds.). Leeds University Press, p. 91-94 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  31. 2005
  32. Published

    Evolving hidden Markov models for protein secondary structure prediction

    Won, K. J., Hamelryck, Thomas Wim, Prügel-Bennett, A. & Krogh, Anders, 2005, The 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005: Proceedings. IEEE, Vol. 3. p. 33-40 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

ID: 5765