|
781 |
Improving deep learning-based instance segmentation and generative approaches for 3D microscopy image data Eschweiler, Dennis. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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|
782 |
Improving Deep Learning-based Object Detection Algorithms for Omnidirectional Images by Simulated Data Scheck, Tobias. - Chemnitz : Technische Universität Chemnitz, 2024
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783 |
Improving Gradient Boosting Machine for Modelling High Throughput Screening Data in Drug Discovery Boldini, Davide. - München : Universitätsbibliothek der TU München, 2024
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|
784 |
Improving Natural Language Dataset Annotation Quality and Efficiency Klie, Jan-Christoph. - Darmstadt : Universitäts- und Landesbibliothek, 2024
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785 |
Improving sound source localization and characterization with machine learning techniques Lobato, Thiago Henrique Gomes. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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|
786 |
Incremental Learning in Regression Contexts Jakob, Jonathan. - Bielefeld : Universitätsbibliothek Bielefeld, 2024
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|
787 |
Industrial AI: A Development Methodology for Industrial Machine Learning Applications Wolf, Yannic Jesko. - München : Universitätsbibliothek der TU München, 2024
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|
788 |
Inferring the assembly and merger histories of galaxies with the IllustrisTNG simulations and machine learning Eisert, Lukas. - Heidelberg : Universitätsbibliothek Heidelberg, 2024
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|
789 |
Instance segmentation in the automotive domain Uhrig, Jonas. - Freiburg : Universität, 2024
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790 |
INTEGRATED MACHINE LEARNING-BASED APPROACHES FOR TRACING AND PREDICTING METAL CONCEN-TRATIONS AND THE FLOW OF RIVERS Li, Peifeng. - Dresden : Technische Universität Dresden, 2024
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