Considering Nutrients During the Generation of Recipes by Process-Oriented Case-Based Reasoning. - Christian Zeyen; Maximilian Hoffmann 001; Gilbert Müller; Ralph Bergmann (ICCBR, 2018)

Using Siamese Graph Neural Networks for Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning. - Maximilian Hoffmann 001; Lukas Malburg; Patrick Klein; Ralph Bergmann (ICCBR, 2020)

ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks. - Maximilian Hoffmann 001; Lukas Malburg; Ralph Bergmann (Business Process Management Workshops, 2021)

Improving Similarity-Based Retrieval Efficiency by Using Graphic Processing Units in Case-Based Reasoning. - Lukas Malburg; Maximilian Hoffmann 001; Simon Trumm; Ralph Bergmann (FLAIRS, 2021)

Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning. - Maximilian Hoffmann 001; Ralph Bergmann (CoRR, 2021)

Considering Inter-Case Dependencies During Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning. - Rahol Kumar; Alexander Schultheis; Lukas Malburg; Maximilian Hoffmann 001; Ralph Bergmann (FLAIRS, 2022)

Improving Automated Hyperparameter Optimization with Case-Based Reasoning. - Maximilian Hoffmann 001; Ralph Bergmann (ICCBR, 2022)

GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning. - Maximilian Hoffmann 001; Lukas Malburg; Nico Bach; Ralph Bergmann (ICCBR, 2022)

Using Graph Embedding Techniques in Process-Oriented Case-Based Reasoning. - Maximilian Hoffmann 001; Ralph Bergmann (Algorithms, 2022)

Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning. - Maximilian Hoffmann 001; Ralph Bergmann (FLAIRS, 2023)

Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning. - Johannes Pauli; Maximilian Hoffmann 001; Ralph Bergmann (FLAIRS, 2023)

Using Deep Reinforcement Learning for the Adaptation of Semantic Workflows. - Florian Brand; Katharina Lott; Lukas Malburg; Maximilian Hoffmann 001; Ralph Bergmann (ICCBR Workshops, 2023)

Explanation of Similarities in Process-Oriented Case-Based Reasoning by Visualization. - Alexander Schultheis; Maximilian Hoffmann 001; Lukas Malburg; Ralph Bergmann (ICCBR, 2023)

Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning. - Nicolas Schuler; Maximilian Hoffmann 001; Hans-Peter Beise; Ralph Bergmann (SGAI Conf., 2023)

A framework for AI-based self-adaptive cyber-physical process systems. - Achim Guldner; Maximilian Hoffmann 001; Christian Lohr; Rüdiger Machhamer; Lukas Malburg; Marlies Morgen; Stephanie C. Rodermund; Florian Schäfer; Lars Schaupeter; Jens Schneider 003; Felix Theusch; Ralph Bergmann; et al. (it Inf. Technol., 2023)

Applying MAPE-K control loops for adaptive workflow management in smart factories. - Lukas Malburg; Maximilian Hoffmann 001; Ralph Bergmann (J. Intell. Inf. Syst., 2023)

ProCAKE Framework. - Ralph Bergmann; Lisa Grumbach; Maximilian Hoffmann 001; Maxim Hotz; Lukas Jünger 001; Mirko Lenz; Lukas Malburg; Alexander Schultheis; Christian Zeyen (Zenodo, 2024)

LLsiM: Large Language Models for Similarity Assessment in Case-Based Reasoning. - Mirko Lenz; Maximilian Hoffmann 001; Ralph Bergmann (ICCBR, 2025)

Integration of Time Series Embedding for Efficient Retrieval in Case-Based Reasoning. - Justin Weich; Alexander Schultheis; Maximilian Hoffmann 001; Ralph Bergmann (ICCBR, 2025)