Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 2003
Using adaptive operator scheduling on problem domains with an operator manifold: applications to the travelling salesman problem
Boomsma, Wouter, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC'03. IEEE, p. 1274-1279 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2004
A comparison of adaptive operator scheduling methods on the traveling salesman problem
Boomsma, Wouter, 2004, Evolutionary Computation in Combinatorial Optimization: 4th European Conference, EvoCOP 2004, Coimbra, Portugal, April 5-7, 2004. Proceedings. Gottlieb, J. & Raidl, G. R. (eds.). Springer, p. 31-40 10 p. (Lecture notes in computer science, Vol. 3004).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Multiple sequence alignment using SAGA: investigating the effects of operator scheduling, population seeding, and crossover operators
Thomsen, R. & Boomsma, Wouter, 2004, Applications of Evolutionary Computing: EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoISAP, EvoMUSART, and EvoSTOC, Coimbra, Portugal, April 5-7, 2004. Proceedings. Raidl, G. R. (ed.). Springer, p. 113-122 10 p. (Lecture notes in computer science, Vol. 3005).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2006
- 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
- 2009
- 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
- 2011
- 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
- 2012
- 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
- 2015
- 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
- 2017
- Published
Spherical convolutions and their application in molecular modelling
Boomsma, Wouter & Frellsen, J., 2017, Neural Information Processing Systems 2017. Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). NIPS Proceedings, 11 p. (Advances in Neural Information Processing Systems, Vol. 30).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2018
- Published
3D steerable CNNs: Learning rotationally equivariant features in volumetric data
Weiler, M., Geiger, M., Welling, M., Boomsma, Wouter & Cohen, T., 2018, Proceedings of the 32nd International Conference on Neural Information Processing Systems. derc ed. NIPS Proceedings, Vol. 2018. p. 10381-10392 12 p. (Advances in Neural Information Processing Systems, Vol. 31).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 40103911
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Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanics
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Inference of structure ensembles of flexible biomolecules from sparse, averaged data
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Potentials of mean force for protein structure prediction vindicated, formalized and generalized
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