Multi-view classification with convolutional neural networks von Seeland, Marco, Mäder, Patrick

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Sulfoximines as Rising Stars in Modern Drug Discovery? Current Status and Perspective on an Emerging Functional Group in Medicinal Chemistry von Mäder, Patrick, Kattner, Lars

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Synaptic Scaling--An Artificial Neural Network Regularization Inspired by Nature von Hofmann, Martin, Mader, Patrick

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Machine learning for image based species identification von Wäldchen, Jana, Mäder, Patrick, Cooper, Natalie

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Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review von Wäldchen, Jana, Mäder, Patrick

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Light Distribution Models for Tree Growth Simulation von Nauber, Tristan, Mäder, Patrick

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Automated plant species identification-Trends and future directions von Wäldchen, Jana, Rzanny, Michael, Seeland, Marco, Mäder, Patrick

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Graph Based Mining of Code Change Patterns From Version Control Commits von Janke, Mario, Mader, Patrick

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Boron in Medicinal Chemistry: Powerful, but Neglected von Mäder, Patrick

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Parameterizing echo state networks for multi-step time series prediction von Viehweg, Johannes, Worthmann, Karl, Mäder, Patrick

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7 Dimensions of software change patterns von Janke, Mario, Mäder, Patrick

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Temporal convolution derived multi-layered reservoir computing von Viehweg, Johannes, Walther, Dominik, Mäder, Patrick

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FS3change: A Scalable Method for Change Pattern Mining von Janke, Mario, Mader, Patrick

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Pollen analysis using multispectral imaging flow cytometry and deep learning von Dunker, Susanne, Motivans, Elena, Rakosy, Demetra, Boho, David, Mäder, Patrick, Hornick, Thomas, Knight, Tiffany M.

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Direct data-driven forecast of local turbulent heat flux in Rayleigh–Bénard convection von Pandey, Sandeep, Teutsch, Philipp, Mäder, Patrick, Schumacher, Jörg

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Do developers benefit from requirements traceability when evolving and maintaining a software system? von Mäder, Patrick, Egyed, Alexander

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Reactive Auto-Completion of Modeling Activities von Mader, Patrick, Kuschke, Tobias, Janke, Mario

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Defocus particle tracking: a comparison of methods based on model functions, cross-correlation, and neural networks von Barnkob, Rune, Cierpka, Christian, Chen, Minqian, Sachs, Sebastian, Mäder, Patrick, Rossi, Massimiliano

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Deep Learning in Plant Phenological Research: A Systematic Literature Review von Katal, Negin, Rzanny, Michael, Mäder, Patrick, Wäldchen, Jana

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The Flora Incognita app – Interactive plant species identification von Mäder, Patrick, Boho, David, Rzanny, Michael, Seeland, Marco, Wittich, Hans Christian, Deggelmann, Alice, Wäldchen, Jana

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