Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms. - Maurice Günder; Nico Piatkowski; Laura von Rüden; Rafet Sifa; Christian Bauckhage (IEEE Access, 2021)

New active learning algorithms for near-infrared spectroscopy in agricultural applications. - Julius Krause; Maurice Günder; Daniel Schulz; Robin Gruna (Autom., 2021)

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention. - Maurice Günder; Nico Piatkowski; Laura von Rüden; Rafet Sifa; Christian Bauckhage (CoRR, 2021)

Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision. - Maurice Günder; Facundo Ramón Ispizua Yamati; Jana Kierdorf; Ribana Roscher; Anne-Katrin Mahlein; Christian Bauckhage (CoRR, 2022)

Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning. - Maurice Günder; Nico Piatkowski; Christian Bauckhage (CoRR, 2022)

SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet. - Maurice Günder; Facundo Ramón Ispizua Yamati; Abel Andree Barreto Alcántara; Anne-Katrin Mahlein; Rafet Sifa; Christian Bauckhage (CoRR, 2023)

Model-agnostic Body Part Relevance Assessment for Pedestrian Detection. - Maurice Günder; Sneha Banerjee; Rafet Sifa; Christian Bauckhage (CoRR, 2023)

Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Model Benchmarking. - Maurice Günder; Sneha Banerjee; Rafet Sifa; Christian Bauckhage (IEEE Big Data, 2024)

Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine Learning. - Maurice Günder; Facundo Ramón Ispizua Yamati; Anne-Katrin Mahlein; Christian Bauckhage (IEEE Big Data, 2024)