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Over ons Praktische zaken Waar vindt u ons M. (Michael) Biehl, Prof

M. (Michael) Biehl, Prof

Hoogleraar Machinaal leren, theorie en toepassingen

Profielfoto van M. (Michael) Biehl, Prof

Faculteit Science and Engineering

Telefoon:

050 36 33997 (Phone)

050 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

Publicaties

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.

Onderzoeksoutput › › 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 anderen, Grytaas, 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, sep.-2020, In: Lancet Diabetes & Endocrinology. 8, 9, blz. 773-781 9 blz.

Onderzoeksoutput › › 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, blz. 7079-7098 20 blz.

Onderzoeksoutput › › 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 blz., 105708.

Onderzoeksoutput › › 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, blz. 101-118 17 blz.

Onderzoeksoutput › › peer review

Discriminative Subspace Emersion from learning feature relevances across different populations

Canducci, M., Abdi, L., Prete, A., Veen, R. J., Biehl, M., Arlt, W. & Tino, P., 2-apr.-2025, (Submitted) arXiv, 25 blz.

Onderzoeksoutput: Voordruk ›

Explainable machine learning for movement disorders - Classification of tremor and myoclonus

van den Brandhof, E. L., Tuitert, I., van der Stouwe, A. M. M., Elting, J. W. J., Dalenberg, J. R., Svorenova, T., Klamer, M. R., Marapin, R. S., Biehl, M. & Tijssen, M. A. J., jun.-2025, In: Computers in biology and medicine. 192, Part B, 9 blz., 110180.

Onderzoeksoutput › › peer review

Interpretable machine learning for the diagnosis of hyperkinetic movement disorders

van den Brandhof, E., Elting, J. W. J., Tuitert, I., Dalenberg, J., van der Stouwe, M., de Koning-Tijssen, M. A. J. & Biehl, M., apr.-2025, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: ESANN 2025. Verleysen, M. (uitgave). Ciaco - i6doc.com, blz. 621-626 6 blz.

Onderzoeksoutput: Conference contribution › › peer review

Interpretable modelling and visualization of biomedical data

Ghosh, S., Baranowski, E. S., Biehl, M., Arlt, W., Tiňo, P. & Bunte, K., 14-apr.-2025, In: Neurocomputing. 626, 19 blz., 129405.

Onderzoeksoutput › › peer review

IRMA: Machine learning-based harmonization of 18F-FDG PET brain scans in multi-center studies

Lövdal, S. S., van Veen, R., Carli, G., Renken, R. J., Shiner, T., Bregman, N., Orad, R., Arnaldi, D., Orso, B., Morbelli, S., Mattioli, P., Leenders, K. L., Dierckx, R., Meles, S. K., Biehl, M. & The Alzheimer's Disease Neuroimaging Initiative, 18-feb.-2025, (E-pub ahead of print) In: European Journal of Nuclear Medicine and Molecular Imaging.

Onderzoeksoutput › › peer review

Alle (339) publicaties

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