Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer von Tercan, Hasan, Deibert, Philipp, Meisen, Tobias

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On reliability of reinforcement learning based production scheduling systems: a comparative survey von Waubert de Puiseau, Constantin, Meyes, Richard, Meisen, Tobias

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Machine learning and deep learning based predictive quality in manufacturing: a systematic review von Tercan, Hasan, Meisen, Tobias

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System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis von Langer, Tristan, Meisen, Tobias

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Navigating the Depths: A Comprehensive Survey of Deep Learning for Passive Underwater Acoustic Target Recognition von Muller, Nils, Reermann, Jens, Meisen, Tobias

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TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior von Alves Gomes, Miguel, Wönkhaus, Mark, Meisen, Philipp, Meisen, Tobias

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Vision Transformer in Industrial Visual Inspection von Hütten, Nils, Meyes, Richard, Meisen, Tobias

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Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization von Brune, Marvin, Meisen, Tobias, Pomp, André

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Time Series Dataset Survey for Forecasting with Deep Learning von Hahn, Yannik, Langer, Tristan, Meyes, Richard, Meisen, Tobias

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Chances and Challenges: Transformation from a Laser-Based to a Camera-Based Container Crane Automation System von Benkert, Johannes, Maack, Robert, Meisen, Tobias

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It’s Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation von Alves Gomes, Miguel, Meyes, Richard, Meisen, Philipp, Meisen, Tobias

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Stop Guessing in the Dark: Identified Requirements for Digital Product Passport Systems von Jansen, Maike, Meisen, Tobias, Plociennik, Christiane, Berg, Holger, Pomp, André, Windholz, Waldemar

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Generating Synthetic Sidescan Sonar Snippets Using Transfer-Learning in Generative Adversarial Networks von Steiniger, Yannik, Kraus, Dieter, Meisen, Tobias

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State of health forecasting of Lithium-ion batteries applicable in real-world operational conditions von von Bülow, Friedrich, Mentz, Joshua, Meisen, Tobias

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Gideon Replay: A library to replay interactions in web-applications von Langer, Tristan, Meyes, Richard, Meisen, Tobias

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VC-SLAM—A Handcrafted Data Corpus for the Construction of Semantic Models von Burgdorf, Andreas, Paulus, Alexander, Pomp, André, Meisen, Tobias

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Deep representation learning and reinforcement learning for workpiece setup optimization in CNC milling von Samsonov, Vladimir, Chrismarie, Enslin, Köpken, Hans-Georg, Bär, Schirin, Lütticke, Daniel, Meisen, Tobias

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Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers von Hütten, Nils, Alves Gomes, Miguel, Hölken, Florian, Andricevic, Karlo, Meyes, Richard, Meisen, Tobias

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Motion Planning for Industrial Robots using Reinforcement Learning von Meyes, Richard, Tercan, Hasan, Roggendorf, Simon, Thiele, Thomas, Büscher, Christian, Obdenbusch, Markus, Brecher, Christian, Jeschke, Sabina, Meisen, Tobias

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Applying Semantics to Reduce the Time to Analytics within Complex Heterogeneous Infrastructures von Pomp, André, Paulus, Alexander, Kirmse, Andreas, Kraus, Vadim, Meisen, Tobias

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