Parameterized reinforcement learning for optical system optimization von Wankerl, Heribert, Stern, Maike L, Mahdavi, Ali, Eichler, Christoph, Lang, Elmar W

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Intronic microRNAs support their host genes by mediating synergistic and antagonistic regulatory effects von Lutter, Dominik, Marr, Carsten, Krumsiek, Jan, Lang, Elmar W, Theis, Fabian J

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Rosetta:MSF:NN: Boosting performance of multi-state computational protein design with a neural network von Nazet, Julian, Lang, Elmar, Merkl, Rainer

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Investigation of an efficient multi-modal convolutional neural network for multiple sclerosis lesion detection von Raab, Florian, Malloni, Wilhelm, Wein, Simon, Greenlee, Mark W., Lang, Elmar W.

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Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task von Al-Subari, Karema, Al-Baddai, Saad, Tomé, Ana Maria, Volberg, Gregor, Hammwöhner, Rainer, Lang, Elmar W

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Learning Intuitive Physics and One-Shot Imitation Using State-Action-Prediction Self-Organizing Maps von Stetter, Martin, Lang, Elmar W.

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Extracting control variables of casting processes with NMF and rule extraction von Xarez, M., Weiderer, P., Tomé, A.M., Lang, Elmar W.

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Combined EMD-sLORETA Analysis of EEG Data Collected during a Contour Integration Task von Al-Subari, Karema, Al-Baddai, Saad, Tomé, Ana Maria, Volberg, Gregor, Ludwig, Bernd, Lang, Elmar W

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Compression of Deep Convolutional Neural Network Using Additional Importance-Weight-Based Filter Pruning Approach von Sawant, Shrutika S., Wiedmann, Marco, Göb, Stephan, Holzer, Nina, Lang, Elmar W., Götz, Theresa

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Dose voxel kernel prediction with neural networks for radiation dose estimation von Götz, Theresa I., Lang, Elmar W., Schmidkonz, Christian, Kuwert, Torsten, Ludwig, Bernd

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A Constrained ICA-EMD Model for Group Level fMRI Analysis von Wein, Simon, Tomé, Ana M, Goldhacker, Markus, Greenlee, Mark W, Lang, Elmar W

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Quantitative probing: Validating causal models with quantitative domain knowledge von Grünbaum, Daniel, Stern, Maike L., Lang, Elmar W.

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An adaptive binary particle swarm optimization for solving multi-objective convolutional filter pruning problem von Sawant, Shrutika S., Erick, F. X., Göb, St, Holzer, Nina, Lang, Elmar W., Götz, Theresa

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Frequency-Resolved Dynamic Functional Connectivity Reveals Scale-Stable Features of Connectivity-States von Goldhacker, Markus, Tomé, Ana M, Greenlee, Mark W, Lang, Elmar W

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Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning von Wein, Simon, Deco, Gustavo, Tomé, Ana Maria, Goldhacker, Markus, Malloni, Wilhelm M., Greenlee, Mark W., Lang, Elmar W.

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Particle filter de-noising of voxel-specific time-activity-curves in personalized 177Lu therapy von Götz, Theresia I., Lang, Elmar W., Schmidkonz, Christian, Maier, Andreas, Kuwert, Torsten, Ritt, Philipp

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Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution von Salas-Gonzalez, Diego, Górriz, Juan M., Ramírez, Javier, Illán, Ignacio A., Lang, Elmar W.

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Particle filter de-noising of voxel-specific time-activity-curves in personalized 177 Lu therapy von Götz, Theresia I, Lang, Elmar W, Schmidkonz, Christian, Maier, Andreas, Kuwert, Torsten, Ritt, Philipp

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Directional emission of white light via selective amplification of photon recycling and Bayesian optimization of multi-layer thin films von Wankerl, Heribert, Wiesmann, Christopher, Kreiner, Laura, Butendeich, Rainer, Luce, Alexander, Sobczyk, Sandra, Stern, Maike Lorena, Lang, Elmar Wolfgang

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Building a FP-CIT SPECT Brain Template Using a Posterization Approach von Salas-Gonzalez, D., Górriz, Juan M., Ramírez, Javier, Illán, Ignacio A., Padilla, Pablo, Martínez-Murcia, Francisco J., Lang, Elmar W.

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