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ORCIDNicolas Lell
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2020 – today
- 2024
[c7]Nicolas Lell, Ansgar Scherp:
HyperAggregation: Aggregating over Graph Edges with Hypernetworks. IJCNN 2024: 1-9- [c6]Hye Jin Kim
, Nicolas Lell, Ansgar Scherp:
Text Role Classification in Scientific Charts Using Multimodal Transformers. NLDB (1) 2024: 47-61 - [i8]Hye Jin Kim, Nicolas Lell, Ansgar Scherp:
Text Role Classification in Scientific Charts Using Multimodal Transformers. CoRR abs/2402.14579 (2024) - [i7]Nicolas Lell, Ansgar Scherp:
HyperAggregation: Aggregating over Graph Edges with Hypernetworks. CoRR abs/2407.11596 (2024) - [i6]Jonatan Frank, Marcel Hoffmann, Nicolas Lell, David Richerby, Ansgar Scherp:
Lifelong Graph Summarization with Neural Networks: 2012, 2022, and a Time Warp. CoRR abs/2407.18042 (2024) - 2023
- [c5]Nicolas Lell, Ansgar Scherp:
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs. CD-MAKE 2023: 200-226 - [c4]Andor Diera, Nicolas Lell, Aygul Garifullina, Ansgar Scherp:
Memorization of Named Entities in Fine-Tuned BERT Models. CD-MAKE 2023: 258-279 - [c3]Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp:
Fine-Tuning Language Models for Scientific Writing Support. CD-MAKE 2023: 301-318 - [c2]Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp:
On the Rule-Based Extraction of Statistics Reported in Scientific Papers. NLDB 2023: 326-338 - [i5]Nicolas Lell, Ansgar Scherp:
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs. CoRR abs/2306.09121 (2023) - [i4]Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp:
Fine-Tuning Language Models for Scientific Writing Support. CoRR abs/2306.10974 (2023) - 2022
- [j1]Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp:
Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO. J. Data Intell. 3(2): 252-277 (2022) - [i3]Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp:
Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting. CoRR abs/2211.13632 (2022) - [i2]Andor Diera, Nicolas Lell, Aygul Garifullina, Ansgar Scherp:
A Study on Extracting Named Entities from Fine-tuned vs. Differentially Private Fine-tuned BERT Models. CoRR abs/2212.03749 (2022) - 2021
- [c1]Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp:
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers. iiWAS 2021: 340-349 - [i1]Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp:
A Machine Learning Pipeline for Automatic Extraction of Statistic Reports and Experimental Conditions from Scientific Papers. CoRR abs/2103.14124 (2021)
Coauthor Index
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