@inproceedings{6235,
  author       = {Sangel, Marius and Bensch, Emilia and Brandt-Pook, Hans and Röllke, Timo and Markworth, Cedric},
  booktitle    = {INFORMATIK 2025},
  keywords     = {Machine Learning, Computer Vision, Instance Segmentation, CNNs, YOLACT, Data Augmentation, Waste Classification, Trash Detection, Biowaste Analysis},
  location     = {Potsdam},
  number       = {366},
  pages        = {1363--1371},
  title        = {{Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES}},
  doi          = {10.18420/INF2025_121},
  year         = {2025},
}

@article{4881,
  author       = {Wiegraebe, Frauke and Schönbeck, Marleen and Wunderlich, Paul and Nauerth, Annette and Dörksen, Helene},
  issn         = {1430-9653},
  journal      = {Pflege und Gesellschaft},
  keywords     = {Digital care support tool, caring workforce, interdisciplinarity, AI application, machine learning, user orientation},
  pages        = {271--285},
  publisher    = {BeltzJuventa},
  title        = {{KI-basiertes Unterstützungstool für pflegende Erwerbstätige}},
  doi          = {10.3262/P&G2403271},
  volume       = {3},
  year         = {2024},
}

@phdthesis{4392,
  author       = {Grumbach, Felix},
  keywords     = {Produktionsplanung und -steuerung, Operations Research, Machine Learning, Reinforcement Learning},
  publisher    = {Universitäts- und Landesbibliothek Sachsen-Anhalt},
  title        = {{Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]}},
  doi          = {10.25673/115290},
  year         = {2024},
}

@inproceedings{4394,
  author       = {Müller, Anna and Grumbach, Felix},
  booktitle    = {16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management},
  editor       = {Glistau, Elke and Trojahn, Sebastian},
  keywords     = {Machine Learning, Production scheduling, time prediction},
  location     = {Magdeburg},
  publisher    = {Otto von Guericke University Library, Magdeburg, Germany},
  title        = {{Predicting processing times in high mix low volume job shops}},
  doi          = {10.25673/103491},
  year         = {2023},
}

@inproceedings{4206,
  author       = {Sanaullah, Sanaullah and Amanullah, Amanullah and Roy, Kaushik  and Lee, Jeong-A  and Chul-Jun, Son  and Jungeblut, Thorsten},
  keywords     = {hybrid SC-NN, SNN, CNN, Machine Learning},
  location     = {Paris France},
  title        = {{A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting}},
  doi          = {10.5281/zenodo.10458019},
  year         = {2023},
}

@inproceedings{4207,
  author       = {Sanaullah, Sanaullah and Jungeblut, Thorsten},
  keywords     = {Brain Analysis, Machine Learning, Simulator, Runtime Simulator},
  location     = {New York USA},
  title        = {{Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis}},
  doi          = {10.5281/zenodo.10457930},
  year         = {2023},
}

@techreport{3729,
  author       = {Kösters, Justus and Schöne, Marvin and Kohlhase, Martin},
  keywords     = {tabular scarce data, industrial design, supervised machine learning models},
  title        = {{Benchmarking of Machine Learning Models for Tabular Scarce Data}},
  year         = {2023},
}

@inproceedings{2953,
  author       = {Behrens, Grit and Hepp, Dennis and Hempelmann, Sebastian and Friedrich, Werner },
  booktitle    = {ENVIROINFO 2022},
  editor       = {Wohlgemuth, Volker  and Naumann, Stefan  and Arnd, Hans-Knud and Behrens, Grit  and Höb, Maximilian},
  isbn         = {	978-3-88579-722-7},
  issn         = {	1617-5468},
  keywords     = {convolutional neural network, photovoltaic modules, snow detection, machine learning},
  location     = {Hamburg},
  title        = {{Detection of snow-coverage on PV-modules with images based on CNN-techniques}},
  volume       = {P328},
  year         = {2022},
}

@article{1799,
  author       = {Vandevoorde, Koenraad and Vollenkemper, Lukas and Schwan, Constanze and Kohlhase, Martin and Schenck, Wolfram},
  issn         = {1424-8220},
  journal      = {Sensors},
  keywords     = {motor learning, motor skill learning, assistance system, artificial intelligence, machine learning, pose estimation, action recognition, human motion analysis},
  number       = {7},
  publisher    = {MDPI AG},
  title        = {{Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks}},
  doi          = {10.3390/s22072481},
  volume       = {22},
  year         = {2022},
}