Marcel Hoffmann

According to our database, Marcel Hoffmann authored at least 8 papers between 2021 and 2023.

Collaborative distances:

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

2023

Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes.

Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Marcel Hoffmann, Ansgar Scherp

Neural Networks, July, 2023

On the Rule-Based Extraction of Statistics Reported in Scientific Papers.

Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp

Proceedings of the Natural Language Processing and Information Systems, 2023

Open-World Lifelong Graph Learning.

Marcel Hoffmann, Lukas Galke, Ansgar Scherp

Proceedings of the International Joint Conference on Neural Networks, 2023

Fine-Tuning Language Models for Scientific Writing Support.

Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp

Proceedings of the Machine Learning and Knowledge Extraction, 2023

2022

Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO.

Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp

J. Data Intell., 2022

Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting.

Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp

CoRR, 2022

2021

A Machine Learning Pipeline for Automatic Extraction of Statistic Reports and Experimental Conditions from Scientific Papers.

Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp

CoRR, 2021

STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers.

Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp

Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021