Scientific papers, articles and more

This page provides an overview of the latest papers and articles published by researchers at the Research Center Machine Learning. For a more detailed search with specific search criteria, please use the Fraunhofer publication database Publica.

If you want to learn more about our research and would like to get a deeper insight into the different topics around our research focuses (Resource Aware Learning, Simulation-based Learning, and Hybrid Learning) in practice, then our publications are exactly what you are looking for. Many of them you can download directly and free of charge as full text version.

Publications 2022

Jahr
Year
Titel/Autor:in
Title/Author
Dokumentart
Document Type
2022 Knowledge-Based Adaptation of Product and Process Design in Blisk Manufacturing
Bergs, Thomas; Ganser, Philipp; Landwehr, Markus; Mayer, Sebastian; Schiller, Sven; Vahl, Christopher
Zeitschriftenaufsatz
2022 Modelling Ambiguous Assignments for Multi-Person Tracking in Crowds
Beyerer, Jürgen; Stadler, Daniel
Konferenzbeitrag
2022 Validation of XAI Explanations for Multivariate Time Series Classification in the Maritime Domain
Anneken, Mathias; Burkart, Nadia; Huber, Marco; Veerappa, Manjunatha
Zeitschriftenaufsatz
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica

Publications 2021

Jahr
Year
Titel/Autor:in
Title/Author
Dokumentart
Document Type
2021 A Generic DigitalTwin Model for Artificial Intelligence Applications
Diedrich, Alexander; Kühnert, Christian; Niggemann, Oliver; Pfannstiel, Erik; Schraven, Joshua
Konferenzbeitrag
2021 A Novel Regression Loss for Non-Parametric Uncertainty Optimization
Akila, Maram; Fischer, Asja; Pintz, Maximilian; Sicking, Joachim; Wirtz, Tim; Wrobel, Stefan
Konferenzbeitrag
2021 A study of person re-identification design characteristics for aerial data
Moritz, Lennart; Schumann, Arne; Specker, Andreas
Konferenzbeitrag
2021 A Survey on the Explainability of Supervised Machine Learning
Burkart, Nadia; Huber, Marco F.
Zeitschriftenaufsatz
2021 Adaptive wavelet pooling for convolutional neural networks
Garcke, Jochen; Wolter, Moritz
Konferenzbeitrag
2021 An Occlusion-Aware Multi-Target Multi-Camera Tracking System
Beyerer, Jürgen; Florin, Lucas; Specker, Andreas; Stadler, Daniel
Konferenzbeitrag
2021 Appearance and Motion Based Persistent Multiple Object Tracking in Wide Area Motion Imagery
Krüger, Wolfgang; Sommer, Lars; Teutsch, Michael
Konferenzbeitrag
2021 Application of LSTM Networks for Water Demand Prediction in Optimal Pump Control
Gonuguntla, Naga; Krieg, Helene; Kühnert, Christian; Nowak, Dimitri; Thomas, Jorge A.
Zeitschriftenaufsatz
2021 Are you sure? Prediction revision in automated decision-making
Burkart, Nadia; Huber, Marco; Robert, Sebastian
Zeitschriftenaufsatz
2021 Deep learning based person search in aerial imagery
Schumann, Arne; Sommer, Lars; Specker, Andreas
Konferenzbeitrag
2021 Deep learning based UAV type classification
Schumann, Arne; Sommer, Lars
Konferenzbeitrag
2021 Deep learning-based video analysis pipeline for person detection and re-identification in aerial imagery
Moritz, Lennart; Sommer, Lars; Specker, Andreas
Konferenzbeitrag
2021 Double Head Predictor based Few-Shot Object Detection for Aerial Imagery
Beyerer, Jürgen; Meier, Jonas; Sommer, Lars; Wolf, Stefan
Konferenzbeitrag
2021 Drone vs. Bird Detection: Deep Learning Algorithms and Results from a Grand Challenge
Coluccia, Angelo; Dimou, Anastasios T.; Fascista, Alessio; Gagne, Guillaume; Gonzalez, Iago; Iglesia, David de la; Mendez, Miguel; Mercier, Jean Philippe; Mitra, Arka; Rajashekar, Shobha; Schumann, Arne; Sommer, Lars; Zarpalas, Dimitrios
Zeitschriftenaufsatz
2021 Evaluation of Interpretable Association Rule Mining Methods on Time-Series in the Maritime Domain
Anneken, Mathias; Burkart, Nadia; Veerappa, Manjunatha
Konferenzbeitrag
2021 Explanation Framework for Intrusion Detection
Burkart, Nadia; Franz, Maximilian; Huber, Marco F.
Konferenzbeitrag
2021 Exploitation of data augmentation strategies for improved UAV detection
Freudenmann, Lucas; Schumann, Arne; Sommer, Lars
Konferenzbeitrag
2021 Fast Pedestrian Detection for Real-World Crowded Scenarios on Embedded GPU
Beyerer, Jürgen; Cormier, Mickael; Schumann, Arne; Sommer, Lars; Wolf, Stefan
Konferenzbeitrag
2021 FastAER Det: Fast Aerial Embedded Real-Time Detection
Schumann, Arne; Sommer, Lars; Wolf, Stefan
Zeitschriftenaufsatz
2021 First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems
Balzereit, Kaja; Diedrich, Alexander; Niggemann, Oliver
Konferenzbeitrag
2021 Frequency Domain Methods in Recurrent Neural Networks for Sequential Data Processing
Wolter, Moritz
Dissertation
2021 Generating Synthetic Training Data for Deep Learning-Based UAV Trajectory Prediction
Arens, Michael; Becker, Stefan; Hug, Ronny; Hübner, Wolfgang; Morris, Brendan T.
Konferenzbeitrag
2021 Handling Missing Observations with an RNN-based Prediction-Update Cycle
Arens, Michael; Becker, Stefan; Hug, Ronny; Hübner, Wolfgang; Morris, Brendan T.
Konferenzbeitrag
2021 Improving Attribute-Based Person Retrieval by Using a Calibrated, Weighted, and Distribution-Based Distance Metric
Beyerer, Jürgen; Specker, Andreas
Konferenzbeitrag
2021 Information modeling and knowledge extraction for machine learning applications in industrial production systems
Kühnert, Christian; Windmann, Stefan
Konferenzbeitrag
2021 Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
Bauckhage, Christian; Beckh, Katharina; Garcke, Jochen; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Mayer, Sebastian; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Rueden, Laura von; Schuecker, Jannis; Walczak, Michal
Zeitschriftenaufsatz
2021 Monte Carlo Tree Search for high precision manufacturing
Hartung, Johannes; Horchler, Felix; Kister, Alexander; Risse, Stefan; Trost, Marcus; Weichert, Dorina
Paper
2021 Multi-Pedestrian Tracking with Clusters
Beyerer, Jürgen; Stadler, Daniel
Konferenzbeitrag
2021 New active learning algorithms for near-infrared spectroscopy in agricultural applications
Gruna, Robin; Günder, Maurice; Krause, Julius; Schulz, Daniel
Zeitschriftenaufsatz
2021 Quantifying the Complexity of Standard Benchmarking Datasets for Long-Term Human Trajectory Prediction
Arens, Michael; Becker, Stefan; Hug, Ronny; Hübner, Wolfgang
Zeitschriftenaufsatz
2021 ReS2tAC - UAV-borne real-time SGM stereo optimized for embedded ARM and CUDA devices
Beyerer, Jürgen; Hinz, Stefan; Mohrs, Jonas; Ruf, Boitumelo; Weinmann, Martin
Zeitschriftenaufsatz
2021 Supported Decision-Making by Explainable Predictions of Ship Trajectories
Anneken, Mathias; Burkart, Nadia; Huber, Marco
Konferenzbeitrag
2021 tanh Neurons are Bayesian Decision Makers
Bauckhage, Christian; Hecker, Dirk; Sifa, Rafet
Konferenzbeitrag
2021 Using temporal information for improved UAV type classification
Schumann, Arne; Sommer, Lars
Konferenzbeitrag
2021 Variant Approach for Identifying Spurious Relations that Deep Learning Models Learn
Garcke, Jochen; Kollert, Stefan; Tesch, Tobias
Zeitschriftenaufsatz
2021 X3SEG: Model-Agnostic Explanations for the Semantic Segmentation of 3D Point Clouds with Prototypes and Criticism
Heide, Nina Felicitas; Heizmann, Michael; Müller, Erik; Petereit, Janko
Konferenzbeitrag
2021 Übertragung eines Vorgehensmodells zur KI-Integration von der Industrie auf Umweltinformationssysteme
Hilbring, Desiree; Pfrommer, Julius
Konferenzbeitrag
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica