M. Biehl

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