Maximilian Hoffmann

According to our database, Maximilian Hoffmann authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Integration of Time Series Embedding for Efficient Retrieval in Case-Based Reasoning.

Justin Weich, Alexander Schultheis, Maximilian Hoffmann, Ralph Bergmann

Proceedings of the Case-Based Reasoning Research and Development, 2025

LLsiM: Large Language Models for Similarity Assessment in Case-Based Reasoning.

Mirko Lenz, Maximilian Hoffmann, Ralph Bergmann

Proceedings of the Case-Based Reasoning Research and Development, 2025

2024

ProCAKE Framework.

Ralph Bergmann, Lisa Grumbach, Maximilian Hoffmann, Maxim Hotz, Lukas Jünger, Mirko Lenz, Lukas Malburg, Alexander Schultheis, Christian Zeyen

Dataset, October, 2024

2023

Applying MAPE-K control loops for adaptive workflow management in smart factories.

Lukas Malburg, Maximilian Hoffmann, Ralph Bergmann

J. Intell. Inf. Syst., August, 2023

A framework for AI-based self-adaptive cyber-physical process systems.

Achim Guldner, Maximilian Hoffmann, Christian Lohr, Rüdiger Machhamer, Lukas Malburg, Marlies Morgen, Stephanie C. Rodermund, Florian Schäfer, Lars Schaupeter, Jens Schneider, Felix Theusch, Ralph Bergmann, Guido Dartmann, Norbert Kuhn, Stefan Naumann, Ingo J. Timm, Matthias Vette-Steinkamp, Benjamin Weyers

it Inf. Technol., June, 2023

Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning.

Nicolas Schuler, Maximilian Hoffmann, Hans-Peter Beise, Ralph Bergmann

Proceedings of the Artificial Intelligence XL, 2023

Explanation of Similarities in Process-Oriented Case-Based Reasoning by Visualization.

Alexander Schultheis, Maximilian Hoffmann, Lukas Malburg, Ralph Bergmann

Proceedings of the Case-Based Reasoning Research and Development, 2023

Using Deep Reinforcement Learning for the Adaptation of Semantic Workflows.

Florian Brand, Katharina Lott, Lukas Malburg, Maximilian Hoffmann, Ralph Bergmann

Proceedings of the Workshops at the 31st International Conference on Case-Based Reasoning (ICCBR-WS 2023) co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2023), 2023

Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning.

Johannes Pauli, Maximilian Hoffmann, Ralph Bergmann

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning.

Maximilian Hoffmann, Ralph Bergmann

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2022

Using Graph Embedding Techniques in Process-Oriented Case-Based Reasoning.

Maximilian Hoffmann, Ralph Bergmann

Algorithms, 2022

GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning.

Maximilian Hoffmann, Lukas Malburg, Nico Bach, Ralph Bergmann

Proceedings of the Case-Based Reasoning Research and Development, 2022

Improving Automated Hyperparameter Optimization with Case-Based Reasoning.

Maximilian Hoffmann, Ralph Bergmann

Proceedings of the Case-Based Reasoning Research and Development, 2022

Considering Inter-Case Dependencies During Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning.

Rahol Kumar, Alexander Schultheis, Lukas Malburg, Maximilian Hoffmann, Ralph Bergmann

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning.

Maximilian Hoffmann, Ralph Bergmann

CoRR, 2021

Improving Similarity-Based Retrieval Efficiency by Using Graphic Processing Units in Case-Based Reasoning.

Lukas Malburg, Maximilian Hoffmann, Simon Trumm, Ralph Bergmann

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks.

Maximilian Hoffmann, Lukas Malburg, Ralph Bergmann

Proceedings of the Business Process Management Workshops, 2021

2020

Using Siamese Graph Neural Networks for Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning.

Maximilian Hoffmann, Lukas Malburg, Patrick Klein, Ralph Bergmann

Proceedings of the Case-Based Reasoning Research and Development, 2020

2018

Considering Nutrients During the Generation of Recipes by Process-Oriented Case-Based Reasoning.

Christian Zeyen, Maximilian Hoffmann, Gilbert Müller, Ralph Bergmann

Proceedings of the Case-Based Reasoning Research and Development, 2018