Ansgar Scherp

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 108

Top Venues

Carl von Ossietzky University of Oldenburg (PHD)

Education History

Carl von Ossietzky University of Oldenburg

PHD

Publications

Hye Jin Kim, Nicolas Lell, Ansgar Scherp
Text Role Classification in Scientific Charts Using Multimodal Transformers. CoRR (2024)
Nicolas Lell, Ansgar Scherp
HyperAggregation: Aggregating over Graph Edges with Hypernetworks. CoRR (2024)
Jonatan Frank, Andor Diera, David Richerby, Ansgar Scherp
Multi-View Structural Graph Summaries. CoRR (2024)
Jonatan Frank, Marcel Hoffmann, Nicolas Lell, David Richerby, Ansgar Scherp
Lifelong Graph Summarization with Neural Networks: 2012, 2022, and a Time Warp. CoRR (2024)
Ansgar Scherp, Gerd Gröner, Petr Skoda, Katja Hose, Maria-Esther Vidal
Semantic Web: Past, Present, and Future. TGDK 2 (1) (2024)
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
POWN: Prototypical Open-World Node Classification. CoRR (2024)
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)
Fabian Karl, Ansgar Scherp
Transformers are Short-Text Classifiers. CD-MAKE (2023)
Axel Polleres, Romana Pernisch, Angela Bonifati, Daniele Dell'Aglio, Daniil Dobriy, Stefania Dumbrava, Lorena Etcheverry, Nicolas Ferranti, Katja Hose, Ernesto Jiménez-Ruiz, Matteo Lissandrini, Ansgar Scherp, Riccardo Tommasini, Johannes Wachs
How Does Knowledge Evolve in Open Knowledge Graphs? TGDK 1 (1) (2023)
Ansgar Scherp, David Richerby, Till Blume, Michael Cochez, Jannik Rau
Structural Summarization of Semantic Graphs Using Quotients. TGDK 1 (1) (2023)
Yousef Younes, Ansgar Scherp
Question Answering Versus Named Entity Recognition for Extracting Unknown Datasets. IEEE Access 11 (2023)
Andor Diera, Nicolas Lell, Aygul Garifullina, Ansgar Scherp
Memorization of Named Entities in Fine-Tuned BERT Models. CD-MAKE (2023)
Jannik Rau, David Richerby, Ansgar Scherp
Computing k-Bisimulations for Large Graphs: A Comparison and Efficiency Analysis. ICGT (2023)
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
Open-World Lifelong Graph Learning. IJCNN (2023)
Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
Fine-Tuning Language Models for Scientific Writing Support. CoRR (2023)
Johannes Scherer, Deepayan Bhowmik, Ansgar Scherp
Event and Entity Extraction from Generated Video Captions. CD-MAKE (2023)
Nicolas Lell, Ansgar Scherp
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs. CD-MAKE (2023)
Ralf Schenkel, Ansgar Scherp
Workshop on Data Engineering for Data Science (DE4DS). BTW (2023)
Andor Diera, Abdelhalim Dahou, Lukas Galke, Fabian Karl, Florian Sihler, Ansgar Scherp
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding. CoRR (2023)
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
Open-World Lifelong Graph Learning. CoRR (2023)
Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Marcel Hoffmann, Ansgar Scherp
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes. Neural Networks 164 (2023)
Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
On the Rule-Based Extraction of Statistics Reported in Scientific Papers. NLDB (2023)
Nicolas Lell, Ansgar Scherp
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs. CoRR (2023)
Andor Diera, Bao Xin Lin, Bhakti Khera, Tim Meuser, Tushar Singhal, Lukas Galke, Ansgar Scherp
Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification. CoRR (2022)
Maximilian Blasi, Manuel Freudenreich, Johannes Horvath, David Richerby, Ansgar Scherp
Graph Summarization with Graph Neural Networks. CoRR (2022)
Maximilian Blasi, Manuel Freudenreich, Johannes Horvath, David Richerby, Ansgar Scherp
Graph Summarization as Vertex Classification Task using Graph Neural Networks vs. Bloom Filter. DSAA (2022)
Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp
General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings. IJCNN (2022)
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 (2022)
Jannik Rau, David Richerby, Ansgar Scherp
Single-Purpose Algorithms vs. a Generic Graph Summarizer for Computing k-Bisimulations on Large Graphs. CoRR (2022)
Fabian Karl, Ansgar Scherp
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets. CoRR (2022)
Lukas Galke, Ansgar Scherp
Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP. ACL (1) (2022)
Johannes Scherer, Ansgar Scherp, Deepayan Bhowmik
Semantic Metadata Extraction from Dense Video Captioning. CoRR (2022)
Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting. CoRR (2022)
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) (2022)
Iacopo Vagliano, Lukas Galke, Ansgar Scherp
Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities. Inf. Retr. J. 25 (3) (2022)
Falko Schönteich, Ansgar Scherp, Andreas Kasten
Distributed Identity Management for Semantic Entities Based on Graph Signatures and owl: sameAs. Int. J. Semantic Comput. 15 (1) (2021)
Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Ansgar Scherp
Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection. CoRR (2021)
Falko Schönteich, Andreas Kasten, Ansgar Scherp
Secure Product Lifecycle Management with CO-PLM. WOP (Book) (2021)
Lukas Galke, Benedikt Franke, Tobias Zielke, Ansgar Scherp
Lifelong Learning of Graph Neural Networks for Open-World Node Classification. IJCNN (2021)
Fabian Singhofer, Aygul Garifullina, Mathias Kern, Ansgar Scherp
rx-anon - A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm. CoRR (2021)
Iacopo Vagliano, Lukas Galke, Ansgar Scherp
Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities. CoRR (2021)
Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp
New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT. CoRR (2021)
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)
Till Blume, David Richerby, Ansgar Scherp
FLUID: A common model for semantic structural graph summaries based on equivalence relations. Theor. Comput. Sci. 854 (2021)
M. Lautaro Hickmann, Fabian Wurzberger, Megi Hoxhalli, Arne Lochner, Jessica Töllich, Ansgar Scherp
Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization. CoRR (2021)
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 (2021)
Ishwar Venugopal, Jessica Töllich, Michael Fairbank, Ansgar Scherp
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes. IJCNN (2021)
Till Blume, David Richerby, Ansgar Scherp
Time and Memory Efficient Algorithm for Structural Graph Summaries over Evolving Graphs. CoRR (2021)
M. Lautaro Hickmann, Fabian Wurzberger, Megi Hoxhalli, Arne Lochner, Jessica Töllich, Ansgar Scherp
Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization. iiWAS (2021)
Ansgar Scherp, Till Blume
Schema-level Index Models for Web Data Search. J. Data Intell. 2 (1) (2021)
Lukas Galke, Ansgar Scherp
Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification. CoRR (2021)
Fabian Singhofer, Aygul Garifullina, Mathias Kern, Ansgar Scherp
A novel approach on the joint de-identification of textual and relational data with a modified mondrian algorithm. DocEng (2021)
Falko Schönteich, Andreas Kasten, Ansgar Scherp
Distributed Identity Management for Semantic Entities. SIMBig (2020)
Chifumi Nishioka, Jörn Hauke, Ansgar Scherp
Influence of tweets and diversification on serendipitous research paper recommender systems. PeerJ Comput. Sci. 6 (2020)
Tamara Heck, Isabella Peters, Athanasios Mazarakis, Ansgar Scherp, Ina Blümel
Open science practices in higher education: Discussion of survey results from research and teaching staff in Germany. Educ. Inf. 36 (3) (2020)
Deniz Ersan, Chifumi Nishioka, Ansgar Scherp
Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500. J. Comput. Soc. Sci. 3 (1) (2020)
Till Blume, Ansgar Scherp
Indexing Data on the Web: A Comparison of Schema-level Indices for Data Search - Extended Technical Report. CoRR (2020)
Till Blume, Ansgar Scherp
Indexing Data on the Web: A Comparison of Schema-Level Indices for Data Search. DEXA (2) (2020)
Lukas Galke, Iacopo Vagliano, Ansgar Scherp
Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift. CoRR (2020)
Till Blume, David Richerby, Ansgar Scherp
Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. CIKM (2020)
Iacopo Vagliano, Angela Fessl, Franziska Günther, Thomas Köhler, Vasileios Mezaris, Ahmed Saleh, Ansgar Scherp, Ilija Simic
Training Researchers with the MOVING Platform. MMM (2) (2019)
Lukas Galke, Iacopo Vagliano, Ansgar Scherp
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference. CoRR (2019)
Florian Mai, Lukas Galke, Ansgar Scherp
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. ICLR (Poster) (2019)
Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. CoRR (2019)
Chifumi Nishioka, Jörn Hauke, Ansgar Scherp
Towards Serendipitous Research Paper Recommender Using Tweets and Diversification. TPDL (2019)
Chifumi Nishioka, Jörn Hauke, Ansgar Scherp
Research Paper Recommender System with Serendipity Using Tweets vs. Diversification. ICADL (2019)
Lukas Galke, Florian Mai, Ansgar Scherp
What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function? GI-Jahrestagung (2019)
Morten Jessen, Falk Böschen, Ansgar Scherp
Text Localization in Scientific Figures using Fully Convolutional Neural Networks on Limited Training Data. DocEng (2019)
Till Blume, Ansgar Scherp
FLuID: A Meta Model to Flexibly Define Schema-level Indices for the Web of Data. CoRR (2019)
Florian Mai, Lukas Galke, Ansgar Scherp
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. CoRR (2019)
Mohammad Abdel-Qader, Iacopo Vagliano, Ansgar Scherp
Analyzing the Evolution of Linked Vocabularies. ICWE (2019)
Ahmed Saleh, Tilman Beck, Lukas Galke, Ansgar Scherp
Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents. ICADL (2018)
Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation. RecSys Challenge (2018)
Florian Mai, Lukas Galke, Ansgar Scherp
Using Deep Learning For Title-Based Semantic Subject Indexing To Reach Competitive Performance to Full-Text. CoRR (2018)
Iacopo Vagliano, Franziska Günther, Matthias Heinz, Aitor Apaolaza, Irina Bienia, Gert Breitfuss, Till Blume, Chrysa Collyda, Angela Fessl, Sebastian Gottfried, Peter Hasitschka, Jasmin Kellermann, Thomas Köhler, Annalouise Maas, Vasileios Mezaris, Ahmed Saleh, Andrzej M. J. Skulimowski, Stefan Thalmann, Markel Vigo, Alfred Wertner, Michael Wiese, Ansgar Scherp
Open Innovation in the Big Data Era With the MOVING Platform. IEEE Multim. 25 (3) (2018)
Mohammad Abdel-Qader, Ansgar Scherp, Iacopo Vagliano
Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud. ESWC (2018)
Lukas Galke, Gunnar Gerstenkorn, Ansgar Scherp
A Case Study of Closed-Domain Response Suggestion with Limited Training Data. DEXA Workshops (2018)
Falko Schönteich, Andreas Kasten, Ansgar Scherp
A Pattern-Based Core Ontology for Product Lifecycle Management based on DUL. WOP@ISWC (2018)
Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. UMAP (2018)
Chifumi Nishioka, Ansgar Scherp
Analysing the Evolution of Knowledge Graphs for the Purpose of Change Verification. ICSC (2018)
Till Blume, Ansgar Scherp
Towards Flexible Indices for Distributed Graph Data: The Formal Schema-level Index Model FLuID. Grundlagen von Datenbanken (2018)
Anne Lauscher, Kai Eckert, Lukas Galke, Ansgar Scherp, Syed Tahseen Raza Rizvi, Sheraz Ahmed, Andreas Dengel, Philipp Zumstein, Annette Klein
Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph. JCDL (2018)
Florian Mai, Lukas Galke, Ansgar Scherp
Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text. JCDL (2018)
Ahmed Saleh, Ansgar Scherp
Attend2trend: Attention Model for Real-Time Detecting and Forecasting of Trending Topics. ICDM Workshops (2018)
Falk Böschen, Tilman Beck, Ansgar Scherp
Survey and empirical comparison of different approaches for text extraction from scholarly figures. Multim. Tools Appl. 77 (22) (2018)
Till Blume, Ansgar Scherp
Towards an Incremental Schema-level Index for Distributed Linked Open Data Graphs. LWDA (2018)
Tilman Beck, Falk Böschen, Ansgar Scherp
What to Read Next? Challenges and Preliminary Results in Selecting Representative Documents. DEXA Workshops (2018)
Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp
Using Titles vs. Full-text as Source for Automated Semantic Document Annotation. K-CAP (2017)
Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp
Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles. CoRR (2017)
Falk Böschen, Benjamin Strobel, Steffen Goos, Christoph Liebers, Bastian Rathje, Ansgar Scherp
Evaluation of the Comprehensiveness of Bar Charts with and without Stacking Functionality using Eye-Tracking. CHIIR (2017)
Ahmed Saleh, Florian Mai, Chifumi Nishioka, Ansgar Scherp
Reranking-based Recommender System with Deep Learning. GI-Jahrestagung (2017)
Falk Böschen, Ansgar Scherp
A Comparison of Approaches for Automated Text Extraction from Scholarly Figures. MMM (1) (2017)
Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio
Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report. CoRR (2017)
Abdallah Salama, Carsten Binnig, Tim Kraska, Ansgar Scherp, Tobias Ziegler
Rethinking Distributed Query Execution on High-Speed Networks. IEEE Data Eng. Bull. 40 (1) (2017)
Ansgar Scherp, Vasileios Mezaris, Thomas Köhler, Alexander G. Hauptmann
MultiEdTech 2017: 1st International Workshop on Multimedia-based Educational and Knowledge Technologies for Personalized and Social Online Training. ACM Multimedia (2017)
Stefan Morana, Silvia Schacht, Ansgar Scherp, Alexander Maedche
A review of the nature and effects of guidance design features. Decis. Support Syst. 97 (2017)
Mohammad Abdel-Qader, Ansgar Scherp
Towards Understanding the Evolution of Vocabulary Terms in Knowledge Graphs. CoRR (2017)
Lukas Galke, Ahmed Saleh, Ansgar Scherp
Word Embeddings for Practical Information Retrieval. GI-Jahrestagung (2017)
Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio
Content Recommendation through Semantic Annotation of User Reviews and Linked Data. K-CAP (2017)
Chifumi Nishioka, Ansgar Scherp
Keeping linked open data caches up-to-date by predicting the life-time of RDF triples. WI (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ansgar Scherp