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Maximilian Hoffmann 0001
Person information
- affiliation: University of Trier, Germany
Other persons with the same name
- Maximilian Hoffmann 0002 — Research Institute of Molecular Pathology, Vienna, Austria
- Maximilian Hoffmann 0003 — TU Wien, Institute of Analysis and Scientific Computing / Institute of Mechanics and Mechatronics, Vienna, Austria
- Maximilian Hoffmann 0004
— Forschungszentrum Jülich GmbH, Germany
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2020 – today
- 2023
- [j3]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:
A framework for AI-based self-adaptive cyber-physical process systems. it Inf. Technol. 65(3): 113-128 (2023) - [j2]Lukas Malburg
, Maximilian Hoffmann
, Ralph Bergmann
:
Applying MAPE-K control loops for adaptive workflow management in smart factories. J. Intell. Inf. Syst. 61(1): 83-111 (2023) - [c12]Maximilian Hoffmann
, Ralph Bergmann
:
Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning. FLAIRS 2023 - [c11]Johannes Pauli, Maximilian Hoffmann
, Ralph Bergmann
:
Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning. FLAIRS 2023 - [c10]Alexander Schultheis
, Maximilian Hoffmann
, Lukas Malburg
, Ralph Bergmann
:
Explanation of Similarities in Process-Oriented Case-Based Reasoning by Visualization. ICCBR 2023: 53-68 - [c9]Florian Brand, Katharina Lott, Lukas Malburg, Maximilian Hoffmann, Ralph Bergmann:
Using Deep Reinforcement Learning for the Adaptation of Semantic Workflows. ICCBR Workshops 2023: 55-70 - [c8]Nicolas Schuler
, Maximilian Hoffmann
, Hans-Peter Beise, Ralph Bergmann
:
Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning. SGAI Conf. 2023: 159-173 - 2022
- [j1]Maximilian Hoffmann
, Ralph Bergmann
:
Using Graph Embedding Techniques in Process-Oriented Case-Based Reasoning. Algorithms 15(2): 27 (2022) - [c7]Rahol Kumar, Alexander Schultheis
, Lukas Malburg, Maximilian Hoffmann
, Ralph Bergmann:
Considering Inter-Case Dependencies During Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning. FLAIRS 2022 - [c6]Maximilian Hoffmann
, Lukas Malburg
, Nico Bach
, Ralph Bergmann
:
GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning. ICCBR 2022: 240-255 - [c5]Maximilian Hoffmann
, Ralph Bergmann
:
Improving Automated Hyperparameter Optimization with Case-Based Reasoning. ICCBR 2022: 273-288 - 2021
- [c4]Maximilian Hoffmann
, Lukas Malburg
, Ralph Bergmann
:
ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks. Business Process Management Workshops 2021: 43-55 - [c3]Lukas Malburg
, Maximilian Hoffmann
, Simon Trumm
, Ralph Bergmann
:
Improving Similarity-Based Retrieval Efficiency by Using Graphic Processing Units in Case-Based Reasoning. FLAIRS 2021 - [i1]Maximilian Hoffmann, Ralph Bergmann:
Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning. CoRR abs/2106.15931 (2021) - 2020
- [c2]Maximilian Hoffmann
, Lukas Malburg
, Patrick Klein
, Ralph Bergmann
:
Using Siamese Graph Neural Networks for Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning. ICCBR 2020: 229-244
2010 – 2019
- 2018
- [c1]Christian Zeyen, Maximilian Hoffmann
, Gilbert Müller, Ralph Bergmann:
Considering Nutrients During the Generation of Recipes by Process-Oriented Case-Based Reasoning. ICCBR 2018: 464-479
Coauthor Index
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