Boosting Functional Regression Models with FDboost by Sarah Brockhaus, David Rügamer, Sonja Greven

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Conditional Model Selection in Mixed-Effects Models with cAIC4 by Benjamin Säfken, David Rügamer, Thomas Kneib, Sonja Greven

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Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition by Felix Ott, David Rugamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

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Smooth and accurate predictions of joint contact force time-series in gait using over parameterised deep neural networks by Bernard X. W. Liew, David Rügamer, David Rügamer, Qichang Mei, Qichang Mei, Qichang Mei, Zainab Altai, Xuqi Zhu, Xiaojun Zhai, Nelson Cortes, Nelson Cortes

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Harnessing time-series kinematic and electromyography signals as predictors to discriminate amongst low back pain recovery status by Bernard X.W. Liew, David Rugamer, Alessandro De Nunzio, Deborah Falla

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Automatic Variable Selection Algorithms in Prognostic Factor Research in Neck Pain by Bernard X. W. Liew, Francisco M. Kovacs, David Rügamer, Ana Royuela

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The mechanical energetics of walking across the adult lifespan by Bernard X. W. Liew, David Rugamer, Kim Duffy, Matthew Taylor, Jo Jackson

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The mechanical energetics of walking across the adult lifespan. by Bernard X W Liew, David Rugamer, Kim Duffy, Matthew Taylor, Jo Jackson

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A novel metric of reliability in pressure pain threshold measurement by Bernard Liew, Ho Yin Lee, David Rügamer, Alessandro Marco De Nunzio, Nicola R. Heneghan, Deborah Falla, David W. Evans

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deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression by David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller

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