Adaptive Relevance Matrices in Learning Vector Quantization von Schneider, Petra, Biehl, Michael, Hammer, Barbara

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Survey of feature selection and extraction techniques for stock market prediction von Htun, Htet Htet, Biehl, Michael, Petkov, Nicolai

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Prototype-based models in machine learning von Biehl, Michael, Hammer, Barbara, Villmann, Thomas

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A General Framework for Dimensionality-Reducing Data Visualization Mapping von Bunte, Kerstin, Biehl, Michael, Hammer, Barbara

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Urine Steroid Metabolomics as a Biomarker Tool for Detecting Malignancy in Adrenal Tumors von Arlt, Wiebke, Biehl, Michael, Taylor, Angela E, Hahner, Stefanie, Libé, Rossella, Hughes, Beverly A, Schneider, Petra, Smith, David J, Stiekema, Han, Krone, Nils, Porfiri, Emilio, Opocher, Giuseppe, Bertherat, Jerôme, Mantero, Franco, Allolio, Bruno, Terzolo, Massimo, Nightingale, Peter, Shackleton, Cedric H. L, Bertagna, Xavier, Fassnacht, Martin, Stewart, Paul M

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Analysis of flow cytometry data by matrix relevance learning vector quantization von Biehl, Michael, Bunte, Kerstin, Schneider, Petra

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Distance Learning in Discriminative Vector Quantization von Schneider, Petra, Biehl, Michael, Hammer, Barbara

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Trajectories of Depressed Mood From Early Adolescence to Young Adulthood: The Effects of Pubertal Timing and Adolescent Dating von Natsuaki, Misaki N., Biehl, Michael C., Ge, Xiaojia

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Urine Steroid Metabolomics as a Novel Tool for Detection of Recurrent Adrenocortical Carcinoma von Chortis, Vasileios, Bancos, Irina, Nijman, Thomas, Gilligan, Lorna C, Taylor, Angela E, Ronchi, Cristina L, O’Reilly, Michael W, Schreiner, Jochen, Asia, Miriam, Riester, Anna, Perotti, Paola, Libé, Rosella, Quinkler, Marcus, Canu, Letizia, Paiva, Isabel, Bugalho, Maria J, Kastelan, Darko, Dennedy, M Conall, Sherlock, Mark, Ambroziak, Urszula, Vassiliadi, Dimitra, Bertherat, Jerome, Beuschlein, Felix, Fassnacht, Martin, Deeks, Jonathan J, Biehl, Michael, Arlt, Wiebke

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The Shallow and the Deep: A biased introduction to neural networks and old school machine learning von Biehl, Michael

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The Shallow and the Deep: A biased introduction to neural networks and old school machine learning von Biehl, Michael

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Steroid metabolome analysis reveals prevalent glucocorticoid excess in primary aldosteronism von Arlt, Wiebke, Lang, Katharina, Sitch, Alice J, Dietz, Anna S, Rhayem, Yara, Bancos, Irina, Feuchtinger, Annette, Chortis, Vasileios, Gilligan, Lorna C, Ludwig, Philippe, Riester, Anna, Asbach, Evelyn, Hughes, Beverly A, O'Neil, Donna M, Bidlingmaier, Martin, Tomlinson, Jeremy W, Hassan-Smith, Zaki K, Rees, D Aled, Adolf, Christian, Hahner, Stefanie, Quinkler, Marcus, Dekkers, Tanja, Deinum, Jaap, Biehl, Michael, Keevil, Brian G, Shackleton, Cedric Hl, Deeks, Jonathan J, Walch, Axel K, Beuschlein, Felix, Reincke, Martin

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Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases von Owomugisha, Godliver, Melchert, Friedrich, Mwebaze, Ernest, Quinn, John. A., Biehl, Michael

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Effect estimate comparison between the prescription sequence symmetry analysis (PSSA) and parallel group study designs: A systematic review von Idema, Demy L, Wang, Yuanyuan, Biehl, Michael, Horvatovich, Peter L, Hak, Eelko

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Statistical Mechanics of On-Line Learning Under Concept Drift von Straat, Michiel, Abadi, Fthi, Göpfert, Christina, Hammer, Barbara, Biehl, Michael

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Data-Driven Supervised Learning for Life Science Data von Münch, Maximilian, Raab, Christoph, Biehl, Michael, Schleif, Frank-Michael

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Translating the potential of the urine steroid metabolome to stage NAFLD (TrUSt-NAFLD): study protocol for a multicentre, prospective validation study von Miller, Hamish, Harman, David, Aithal, Guruprasad Padur, Manousou, Pinelopi, Cobbold, Jeremy F, Parker, Richard, Sheridan, David, Newsome, Philip N, Karpe, Fredrik, Neville, Matthew, Arlt, Wiebke, Sitch, Alice J, Korbonits, Marta, Biehl, Michael, Alazawi, William, Tomlinson, Jeremy W

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Hidden unit specialization in layered neural networks: ReLU vs. sigmoidal activation von Oostwal, Elisa, Straat, Michiel, Biehl, Michael

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The Influence of Pubertal Timing on Alcohol Use and Heavy Drinking Trajectories von Biehl, Michael C, Natsuaki, Misaki N, Ge, Xiaojia

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Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspaces von Lövdal, Sofie, Biehl, Michael

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