prof. dr. M. (Michael) Biehl

"Adjunct Hoogleraar" (tenured, with ius promovendi)

Research

Research units:

Postal address:
Nijenborgh
9
Gebouw 5161, ruimte 0584
Groningen
Netherlands
Phone: +31 50 363 3997

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
  1. 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 journalArticleAcademicpeer-review

  2. 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 journalArticleAcademicpeer-review

  3. 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 proceedingChapterAcademic

  4. 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 proceedingChapterAcademic

  5. 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 proceedingConference contributionAcademicpeer-review

  6. 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 journalReview articleAcademicpeer-review

  7. 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 journalArticleAcademicpeer-review

  8. 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 journalArticleAcademicpeer-review

View all (264) »

Activities
  1. 4th International Conference on Algorithms for Computational Biology

    Michael Biehl (Invited speaker)
    5-Jun-20176-Jun-2017

    Activity: Talk or presentationProfessional

  2. Special Session at the International Joint Conference on Neural Networks: Explainability and Interpretability in Machine Learning

    Michael Biehl (Organiser)
    17-May-2017

    Activity: Participating in or organising an eventParticipation in conferenceAcademic

  3. International Workshop on Brain-Inspired Computing

    Michael Biehl (Speaker)
    14-Jun-2017

    Activity: Talk or presentationProfessional

View all (79) »

Prizes
  1. Distinguished Visiting Fellow, Institute of Advanced Studies

    Michael Biehl (Recipient), 1-Apr-2014

    Prize: Fellowship awarded competitivelyAcademic

View all (7) »

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