STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers. - Steffen Epp; Marcel Hoffmann 002; Nicolas Lell; Michael Mohr; Ansgar Scherp (iiWAS, 2021)

A Machine Learning Pipeline for Automatic Extraction of Statistic Reports and Experimental Conditions from Scientific Papers. - Steffen Epp; Marcel Hoffmann 002; Nicolas Lell; Michael Mohr; Ansgar Scherp (CoRR, 2021)

Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting. - Tobias Kalmbach; Marcel Hoffmann 002; Nicolas Lell; Ansgar Scherp (CoRR, 2022)

Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO. - Steffen Epp; Marcel Hoffmann 002; Nicolas Lell; Michael Mohr; Ansgar Scherp (J. Data Intell., 2022)

Fine-Tuning Language Models for Scientific Writing Support. - Justin Mücke; Daria Waldow; Luise Metzger; Philipp Schauz; Marcel Hoffmann 002; Nicolas Lell; Ansgar Scherp (CD-MAKE, 2023)

Open-World Lifelong Graph Learning. - Marcel Hoffmann 002; Lukas Galke; Ansgar Scherp (IJCNN, 2023)

On the Rule-Based Extraction of Statistics Reported in Scientific Papers. - Tobias Kalmbach; Marcel Hoffmann 002; Nicolas Lell; Ansgar Scherp (NLDB, 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 002; Ansgar Scherp (Neural Networks, 2023)

POWN: Prototypical Open-World Node Classification. - Marcel Hoffmann 002; Lukas Galke; Ansgar Scherp (CoLLAs, 2024)

Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs Without Message Passing. - Matthias Kohn; Marcel Hoffmann 002; Ansgar Scherp (LoG, 2024)

Lifelong Graph Learning for Graph Summarization. - Jonatan Frank; Marcel Hoffmann 002; Nicolas Lell; David Richerby; Ansgar Scherp (WI/IAT, 2024)

Lifelong Graph Summarization with Neural Networks: 2012, 2022, and a Time Warp. - Jonatan Frank; Marcel Hoffmann 002; Nicolas Lell; David Richerby; Ansgar Scherp (CoRR, 2024)

Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset. - Felix Burr; Marcel Hoffmann 002; Ansgar Scherp (CoRR, 2025)