Onderzoeksoutput per jaar
Onderzoeksoutput per jaar
Persoonlijk profiel
Speerpunten
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
Expertise gerelateerd aan duurzame ontwikkelingsdoelstellingen van de VN
In 2015 stemden de VN-lidstaten in met 17 wereldwijde duurzame ontwikkelingsdoelstellingen (Sustainable Development Goals, SDG's) om armoede te beëindigen, de planeet te beschermen en voor iedereen welvaart te garanderen. Het werk van deze persoon draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en):
Vingerafdruk
Verdiep u in de onderzoeksgebieden waarop M. Biehl actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
- 1 Soortgelijke profielen
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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 › Academic › peer review
Open AccessBestand44 Citaten (Scopus)164 Downloads (Pure) -
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, , sep.-2020, In: Lancet Diabetes & Endocrinology. 8, 9, blz. 773-781 9 blz.Onderzoeksoutput › Academic › peer review
Open AccessBestand146 Citaten (Scopus)147 Downloads (Pure) -
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 › Academic › peer review
Open AccessBestand18 Citaten (Scopus)123 Downloads (Pure) -
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 › Academic › peer review
Open AccessBestand10 Citaten (Scopus)117 Downloads (Pure) -
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 › Academic › peer review
Open AccessBestand8 Citaten (Scopus)129 Downloads (Pure)
Activiteiten
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4th International Conference on Algorithms for Computational Biology
Biehl, M. (Invited speaker)
5-jun.-2017 → 6-jun.-2017Activiteit: Professional or public presentation › Professional
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Special Session at the International Joint Conference on Neural Networks: Explainability and Interpretability in Machine Learning
Biehl, M. (Organiser)
17-mei-2017Activiteit: Organising and contributing to an event › Academic
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International Workshop on Brain-Inspired Computing
Biehl, M. (Speaker)
14-jun.-2017Activiteit: Professional or public presentation › Professional
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Interpretable machine learning in endocrinology: tumor classification, diagnosis of primary aldosteronism
Biehl, M. (Speaker)
24-jan.-2024Activiteit: Academic presentation › Academic
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Equilibrium Analysis of Feed-Forward Neural Networks
Cistolo Citton, O. (Speaker) & Biehl, M. (Contributor)
25-jan.-2024Activiteit: Academic presentation › Academic
Datasets
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Holstein Cattle Recognition
Bhole, A. (Contributor), Falzon, O. (Contributor), Biehl, M. (Contributor) & Azzopardi, G. (Contributor), DataverseNL, 14-jun.-2021
DOI: 10.34894/O1ZBSA
Dataset
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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: 10.4121/uuid:fad486b6-0dfb-4d23-8025-b24407a08698, https://doi.org/10.4121/uuid:fad486b6-0dfb-4d23-8025-b24407a08698
Dataset
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Cassava Spectral and Image Dataset
Godliver, O. (Contributor), Biehl, M. (Contributor), Joyce, N.-N. (Contributor), Nuwamanya, E. (Contributor), Kanyesigye, D. (Contributor), Muhumuza, N. (Contributor), Katusiime, M. (Contributor), Dhikusooka, J. J. (Contributor), Saolo, T. (Contributor), Aloyzius, B. (Contributor), Nabadda, J. (Contributor), Molly, N. (Contributor) & Musa, N. (Contributor), Harvard Dataverse, 19-jul.-2022
DOI: 10.7910/dvn/r0kl7r
Dataset
Prijzen
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Distinguished Visiting Fellow, Institute of Advanced Studies
Biehl, M. (Recipient), 1-apr.-2014
Prijs: Fellowship awarded competitively › Academic
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Honorary Professor of Machine Learning
Biehl, M. (Recipient), 1-feb.-2021
Prijs: Appointment › Academic
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Best performance award, sbv IMPROVER Species Translation Challenge, Subchallenge 1
Biehl, M. (Recipient), 2013
Prijs: Prize › Academic
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Best performance award, sbv IMPROVER Species Translation Challenge, Subchallenge 2
Biehl, M. (Recipient), 2013
Prijs: Prize › Academic