Early Detection of Students at Risk -- Predicting Student Dropouts Using Administrative Student Data from German Universities and Machine Learning Methods von Berens, Johannes, Schneider, Kerstin, Gortz, Simon, Oster, Simon, Burghoff, Julian

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Who Breaks Early, Looses: Goal Oriented Training of Deep Neural Networks Based on Port Hamiltonian Dynamics von Burghoff, Julian, Monells, Marc Heinrich, Gottschalk, Hanno

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ResBuilder: Automated Learning of Depth with Residual Structures von Burghoff, Julian, Rottmann, Matthias, von Conta, Jill, Schoenen, Sebastian, Witte, Andreas, Gottschalk, Hanno

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Risk Stratification of Malignant Melanoma Using Neural Networks von Burghoff, Julian, Ackermann, Leonhard, Salahdine, Younes, Bram, Veronika, Wunderlich, Katharina, Balkenhol, Julius, Dirschka, Thomas, Gottschalk, Hanno

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Drohende Studienabbrüche durch Frühwarnsysteme erkennen: Welche Informationen sind relevant? von Schneider, Kerstin, Berens, Johannes, Burghoff, Julian

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Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics von Burghoff, Julian, Monells, Marc Heinrich, Gottschalk, Hanno

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ResBuilder: Automated Learning of Depth with Residual Structures von Burghoff, Julian, Rottmann, Matthias, von Conta, Jill, Schoenen, Sebastian, Witte, Andreas, Gottschalk, Hanno

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Risk stratification of malignant melanoma using neural networks von Burghoff, Julian, Ackermann, Leonhard, Salahdine, Younes, Bram, Veronika, Wunderlich, Katharina, Balkenhol, Julius, Dirschka, Thomas, Gottschalk, Hanno

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Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics von Burghoff, Julian, Marc Heinrich Monells, Gottschalk, Hanno

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Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning von Burghoff, Julian, Chan, Robin, Gottschalk, Hanno, Muetze, Annika, Riedlinger, Tobias, Rottmann, Matthias, Schubert, Marius

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ResBuilder: Automated Learning of Depth with Residual Structures von Burghoff, Julian, Rottmann, Matthias, Jill von Conta, Schoenen, Sebastian, Witte, Andreas, Gottschalk, Hanno

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Risk stratification of malignant melanoma using neural networks von Burghoff, Julian, Ackermann, Leonhard, Younes Salahdine, Bram, Veronika, Wunderlich, Katharina, Balkenhol, Julius, Dirschka, Thomas, Gottschalk, Hanno

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Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning von Burghoff, Julian, Chan, Robin, Gottschalk, Hanno, Muetze, Annika, Riedlinger, Tobias, Rottmann, Matthias, Schubert, Marius

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