Multi Dimensional Compartment Schemes. - Johannes Maucher (IMACC, 1997)

Some Results on Generalized Concatenation of Block Codes. - Martin Bossert; Helmut Grießer; Johannes Maucher; Victor V. Zyablov (AAECC, 1999)

Rectangular Codes and Rectangular Algebra. - Vladimir Sidorenko; Johannes Maucher; Martin Bossert (AAECC, 1999)

Rectangular Basis of a Linear Code. - Johannes Maucher; Vladimir Sidorenko; Martin Bossert (IMACC, 1999)

The theory of rectangular codes. - Johannes Maucher (VDI-Verlag, 1999)

On the equivalence of generalized concatenated codes and generalized error location codes. - Johannes Maucher; Victor V. Zyablov; Martin Bossert (IEEE Trans. Inf. Theory, 2000)

WiMAX - der IEEE-802.16-Standard: Technik, Anwendung, Potenzial. - Johannes Maucher; Jörg Furrer (Heise, 2007)

Empirical analysis of passenger trajectories within an urban transport hub. - Benjamin Heuer; Jan Zibuschka; Heiko Roßnagel; Johannes Maucher (ISCRAM, 2012)

Hearthstone deck-construction with a utility system. - Andreas Stiegler; Claudius Messerschmidt; Johannes Maucher; Keshav P. Dahal (SKIMA, 2016)

Symbolic Reasoning for Hearthstone. - Andreas Stiegler; Keshav P. Dahal; Johannes Maucher; Daniel Jack Livingstone (IEEE Trans. Games, 2018)

Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. - Nina Schaaf; Marco F. Huber; Johannes Maucher (ICMLA, 2019)

Automated Sign Language Translation: The Role of Artificial Intelligence Now and in the Future. - Lea Baumgärtner; Stephanie Jauss; Johannes Maucher; Gottfried Zimmermann (CHIRA, 2020)

Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning. - Daniel Grießhaber; Johannes Maucher; Ngoc Thang Vu (COLING, 2020)

Expanding dynamic range in a single-shot image through a sparse grid of low exposure pixels. - Leon Eisemann; Jan Fröhlich; Axel Hartz; Johannes Maucher (Imaging Sensors and Systems, 2020)

Low-resource text classification using domain-adversarial learning. - Daniel Grießhaber; Ngoc Thang Vu; Johannes Maucher (Comput. Speech Lang., 2020)

Trapped in Texture Bias? A Large Scale Comparison of Deep Instance Segmentation. - Johannes Theodoridis; Jessica Hofmann; Johannes Maucher; Andreas Schilling 001 (ECCV (8), 2022)

Imitation Learning of Logical Program Policies for Multi-Agent Reinforcement Learning. - Manuel Eberhardinger; Johannes Maucher; Setareh Maghsudi (KI (Workshops), 2022)

Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments. - Manuel Eberhardinger; Johannes Maucher; Setareh Maghsudi (AIIDE, 2023)

Guiding Video Prediction with Explicit Procedural Knowledge. - Patrick Takenaka; Johannes Maucher; Marco F. Huber (ICCV (Workshops), 2023)

Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers. - Daniel Grießhaber; Johannes Maucher; Ngoc Thang Vu (IJCAI, 2023)

Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds. - Leon Eisemann; Johannes Maucher (ITSC, 2023)

Towards Explainable Decision Making with Neural Program Synthesis and Library Learning. - Manuel Eberhardinger; Johannes Maucher; Setareh Maghsudi (NeSy, 2023)

TrackLidFormer: A Transformer-Based Approach for Occluded Object Tracking. - Leon Eisemann; Kushal Narasimha; Johannes Maucher (ECCV Workshops (7), 2024)

Classification of Inkjet Printers based on Droplet Statistics. - Patrick Takenaka; Manuel Eberhardinger; Daniel Grießhaber; Johannes Maucher (IJCNN, 2024)

A NeRF-Based Approach for Monocular Traffic Sign Reconstruction and Localization. - Leon Eisemann; Johannes Maucher (ITSC, 2024)

Repetition, Replay, Replica - A Survey on the Understanding of Resimulation in the Context of Automated Driving. - Leon Eisemann; Nicole Neis; Juergen Beyerer; Johannes Maucher (ITSC, 2024)

Divide and Conquer: A Systematic Approach for Industrial Scale High-Definition OpenDRIVE Generation from Sparse Point Clouds. - Leon Eisemann; Johannes Maucher (IV, 2024)

ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios Using Procedural Knowledge. - Patrick Takenaka; Johannes Maucher; Marco F. Huber (NeSy (1), 2024)

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming. - Manuel Eberhardinger; Florian Rupp; Johannes Maucher; Setareh Maghsudi (ICSI (1), 2024)

Anonymization of Documents for Law Enforcement with Machine Learning. - Manuel Eberhardinger; Patrick Takenaka; Daniel Grießhaber; Johannes Maucher (CoRR, 2025)

ViPro-2: Unsupervised State Estimation via Integrated Dynamics for Guiding Video Prediction. - Patrick Takenaka; Johannes Maucher; Marco F. Huber (CoRR, 2025)