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About us Practical matters How to find us M. (Michael) Biehl, Prof

M. (Michael) Biehl, Prof

"Adjunct Hoogleraar" (tenured, with ius promovendi)

Faculty of Science and Engineering

Telephone:

+31 50 36 33997 (Phone)

+31 50 36 33800 (fax)

E-mail:

m.biehl rug.nl

Homepage ORCID Research Portal

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

Hidden unit specialization in layered neural networks:: ReLU vs. sigmoidal activation

Oostwal, E., Straat, M. & Biehl, M., Feb-2021, In: Physica A: Statistical Mechanics and its Applications. 564, 125517.

Research output: Contribution to journal › Article › Academic › peer-review

Urine steroid metabolomics for the differential diagnosis of adrenal incidentalomas in the EURINE-ACT study: A prospective test validation study

Bancos, I., Taylor, A. E., Chortis, V., Sitch, A. J., Jenkinson, C., Davidge-Pitts, C. J., Lang, K., Tsagarakis, S., Macech, M., Riester, A., Deutschbein, T., Pupovac, I. D., Kienitz, T., Prete, A., Papathomas, T. G., Gilligan, L. C., Bancos, C., Reimondo, G., Haissaguerre, M., Marina, L., & 39 othersGrytaas, M. A., Sajwani, A., Langton, K., Ivison, H. E., Shackleton, C. H. L., Erickson, D., Asia, M., Palimeri, S., Kondracka, A., Spyroglou, A., Ronchi, C. L., Simunov, B., Delivanis, D. A., Sutcliffe, R. P., Tsirou, I., Bednarczuk, T., Reincke, M., Burger-Stritt, S., Feelders, R. A., Canu, L., Haak, H. R., Eisenhofer, G., Dennedy, M. C., Ueland, G. A., Ivovic, M., Tabarin, A., Terzolo, M., Quinkler, M., Kastelan, D., Fassnacht, M., Beuschlein, F., Ambroziak, U., Vassiliadi, D., O'Reilly, M. W., Young, W. F., Biehl, M., Deeks, J. J., Arlt, W. & ENSAT EURINE-ACT Investigators, Sept-2020, In: Lancet Diabetes & Endocrinology. 8, 9, p. 773-781 9 p.

Research output: Contribution to journal › Article › Academic › peer-review

Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples

Panda, A., Yadav, A., Yeerna, H., Singh, A., Biehl, M., Lux, M., Schulz, A., Klecha, T., Doniach, S., Khiabanian, H., Ganesan, S., Tamayo, P. & Bhanot, G., 27-Jul-2020, In: Nucleic Acids Research. 48, 13, p. 7079-7098 20 p.

Research output: Contribution to journal › Article › Academic › peer-review

An application of generalized matrix learning vector quantization in neuroimaging

van Veen, R., Gurvits, V., Kogan, R. V., Meles, S. K., de Vries, G. J., Renken, R. J., Rodriguez-Oroz, M. C., Rodriguez-Rojas, R., Arnaldi, D., Raffa, S., de Jong, B. M., Leenders, K. L. & Biehl, M., Dec-2020, In: Computer Methods and Programs in Biomedicine. 197, 11 p., 105708.

Research output: Contribution to journal › Article › Academic › peer-review

Supervised learning in the presence of concept drift: A modelling framework

Straat, M., Abadi, F., Kan, Z., Göpfert, C., Hammer, B. & Biehl, M., Jan-2022, In: Neural Computing and Applications. 34, 1, p. 101-118 17 p.

Research output: Contribution to journal › Article › Academic › peer-review

21st SC@RUG 2024 proceedings 2023-2024

Smedinga, R. (ed.) & Biehl, M. (ed.), 19-Apr-2024, University of Groningen Press. 115 p.

Research output: Book/Report › Book › Academic › peer-review

Forecasting Relative Returns for S&P 500 Stocks Using Machine Learning

Htun, H. H., Biehl, M. & Petkov, N., 20-Apr-2024, In: Financial Innovation. 10, 16 p., 118.

Research output: Contribution to journal › Article › Academic › peer-review

Investigating the aspect of asymmetry in brain-first versus body-first Parkinson's disease

Lövdal, S. S., Carli, G., Orso, B., Biehl, M., Arnaldi, D., Mattioli, P., Janzen, A., Sittig, E., Morbelli, S., Booij, J., Oertel, W. H., Leenders, K. L. & Meles, S. K., 30-Mar-2024, In: NPJ Parkinson's disease. 10, 1, 10 p., 74.

Research output: Contribution to journal › Article › Academic › peer-review

Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspaces

Lövdal, S. & Biehl, M., 7-Apr-2024, In: Neurocomputing. 577, 6 p., 127367.

Research output: Contribution to journal › Article › Academic › peer-review

Subspace corrected relevance learning with application in neuroimaging

van Veen, R., Tamboli, N. R. B., Lövdal, S., Meles, S. K., Renken, R. J., de Vries, G. J., Arnaldi, D., Morbelli, S., Clavero, P., Obeso, J. A., Oroz, M. C. R., Leenders, K. L., Villmann, T. & Biehl, M., Mar-2024, In: Artificial Intelligence in Medicine. 149, 12 p., 102786.

Research output: Contribution to journal › Article › Academic › peer-review

All (325) publications

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