prof. dr. M. (Michael) Biehl
"Adjunct Hoogleraar" (tenured, with ius promovendi)

Research
Research units:
Research interests
Machine Learning, Neural Networks, Data Analysis, Pattern Recognition, Biomedical Data, Bioinformatics, Classification, Supervised Learning, Unsupervised Learning, Computational Science, Scientific Computation, Modeling and Simulation, Statistical Physics
Publications
Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge
Biehl, M., Sadowski, P., Bhanot, G., Bilal, E., Dayarian, A., Meyer, P., Norel, R., Rhrissorrakrai, K., Zeller, M. D. & Hormoz, S., 2014, In : Bioinformatics. 9 p.Research output: Contribution to journal › Article › Academic › peer-review
Steroid metabolome analysis reveals prevalent glucocorticoid excess in primary aldosteronism
Arlt, W., Lang, K., Sitch, A. J., Dietz, A. S., Rhayem, Y., Bancos, I., Feuchtinger, A., Chortis, V., Gilligan, L. C., Ludwig, P., Riester, A., Asbach, E., Hughes, B. A., O’Neil, D. M., Bidlingmaier, M., Tomlinson, J. W., Hassan-Smith, Z. K., Rees, D. A., Adolf, C., Hahner, S., Quinkler, M., Dekkers, T., Deinum, J., Biehl, M., Keevil, B. G., Shackleton, C. H. L., Deeks, J. J., Walch, A. K., Beuschlein, F. & Reincke, M., 20-Apr-2017, In : JCI Insight. 2, 8, UNSP e93136.Research output: Contribution to journal › Article › Academic › peer-review
Biomedical Applications of Prototype Based Classifiers and Relevance Learning
Biehl, M., 2017, International Conference on Algorithms for Computational Biology: 4th International Conference, AlCoB 2017, Aveiro, Portugal, June 5-6, 2017, Proceedings. Figueiredo, D., Martín-Vide, C., Pratas, D. & Vega-Rodríguez, M. A. (eds.). Cham: Springer International Publishing, p. 3-23 21 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic
Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ
Biehl, M., Mudali, D., Leenders, K. L. & Roerdink, J. B. T. M., Dec-2016, Brain-Inspired Computing: Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers. Amunts, K., Grandinetti, L., Lippert, T. & Petkov, N. (eds.). Cham: Springer International Publishing, p. 131-141 11 p. (Lecture Notes in Computer Science; vol. 10087).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
Predicting recurrence in clear cell Renal Cell Carcinoma: Analysis of TCGA data using outlier analysis and generalized matrix LVQ
Mukherjee, G., Bhanot, G., Raines, K., Sastry, S., Doniach, S. & Biehl, M., 1-Jul-2016, 2016 IEEE Congress on Evolutionary Computation (CEC). IEEEXplore, p. 656-661 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Prototype-based models in machine learning
Biehl, M., Hammer, B. & Villmann, T., 2016, In : Wiley Interdisciplinary Reviews. Cognitive Science. 7, 2, p. 92-111 20 p.Research output: Contribution to journal › Review article › Academic › peer-review
Critical assessment of automated flow cytometry data analysis techniques
Aghaeepour, N., Finak, G., Hoos, H., Mosmann, T. R., Brinkman, R., Gottardo, R., Scheuermann, R. H., FlowCAP Consortium & DREAM Consortium, Mar-2013, In : Nature Methods. 10, 3, p. 228-238 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Predicting protein phosphorylation from gene expression: Top methods from the IMPROVER Species Translation Challenge
Dayarian, A., Romero, R., Wang, Z., Biehl, M., Bilal, E., Hormoz, S., Meyer, P., Norel, R., Rhrissorrakrai, K., Bhanot, G., Luo, F. & Tarca, A. L., 2014, In : Bioinformatics. 9 p.Research output: Contribution to journal › Article › Academic › peer-review
Datasets
The sugar dataset - A multimodal hyperspectral dataset for classification and research
Melchert, F. (Creator), Matros, A. (Creator), Biehl, M. (Creator) & Seiffert, U. (Creator), University of Groningen, 2016
DOI: https://doi.org/10.4121/uuid:fad486b6-0dfb-4d23-8025-b24407a08698, https://doi.org/10.4121/uuid:fad486b6-0dfb-4d23-8025-b24407a08698
Dataset
Activities
4th International Conference on Algorithms for Computational Biology
Michael Biehl (Invited speaker)
5-Jun-2017 → 6-Jun-2017Activity: Talk or presentation › Professional
Special Session at the International Joint Conference on Neural Networks: Explainability and Interpretability in Machine Learning
Michael Biehl (Organiser)
17-May-2017Activity: Participating in or organising an event › Participation in conference › Academic
International Workshop on Brain-Inspired Computing
Michael Biehl (Speaker)
14-Jun-2017Activity: Talk or presentation › Professional
Prizes
Distinguished Visiting Fellow, Institute of Advanced Studies
Biehl, M. (Recipient), 1-Apr-2014
Prize: Fellowship awarded competitively › Academic
ID: 239697