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 2021

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