| Methods for Enhancing Industrial Applications with Explainable Artificial Intelligence |
York Sure-Vetter |
Jacqueline Höllig |
06. Februar 2025 |
| BigElectricity: A Benchmark for Scalable Multivariate Time Series Forecasting |
Tobias Käfer, Chen Shao |
Yue Wang |
16. März 2025 |
| Reading and Writing Relational Data via the Solid Protocol and Virtual Knowledge Graphs |
Tobias Käfer |
Lukas Kubelka |
20. Dezember 2024 |
| Incorporating Content-based Features into Quantum Knowledge Graph Embeddings |
Michael Färber |
Jonas Hendl |
24. Januar 2025 |
| Integrating Semantic Tokens into Language Model Decoding |
Nicholas Popovic, Michael Färber |
Philip Heller |
30. Dezember 2024 |
| Addressing Hallucination in Large Language Models: Detection and Mitigation Techniques for Claim-Based Verification |
Tobias Käfer, Jin Liu |
Dominik Röhrle |
21. November 2024 |
| Incorporating Quantum Advantage in Quantum Circuit Generation Through Genetic Programming |
Michael Färber |
Christoph Stein |
31. Mai 2024 |
| Enhancing Retrieval of Multi-Hop Claim Verification in the HoVer Dataset with Claim Decomposition Using Large Language Models |
Michael Färber, Jin Liu |
Leon Sander |
08. Juli 2024 |
| Navigating XAI: Investigating the performance trade-off between prediction and post-hoc explainability |
Michael Färber, Jacqueline Hoellig |
Malte Knauff |
03. April 2024 |
| Eine KI-basierte Matching-Methode zur Identifikation ähnlich zu bepreisender Artikel |
Michael Färber, Jaqueline Hoellig |
Annika Lukat |
01. März 2024 |
| A Knowledge Injection Evaluation Framework for Improving Factual Accuracy in Generative Language Models |
Nicholas Popovic, Michael Färber |
Adrian Oberföll |
29. Februar 2024 |
| Counterfactual Explanations for Black-Box Models on Dynamic Graphs |
Zhan Qu |
Daniel Gomm |
12. Dezember 2023 |
| Optimising Linked Traversal-based Querying of Linked Data on the Web using Shape Trees |
Tobias Käfer |
Xinni Wang |
01. November 2023 |
| Leveraging Semantics for Graph Neural Network-based Recommendation |
Michael Färber |
David Lamprecht |
04. Oktober 2023 |
| Continuous Text Representation Augmentation for Supervised Relation Classification |
Michael Färber, Nicholas Popovic |
Florian Lukas Rudolph |
07. September 2023 |
| GPT-Vérité – A model for flexible truthful text generation / GPT-Vérité – ein Model für wahrheitsgetreue Text Generation |
Michael Färber |
David Blumenthal |
30. August 2023 |
| Using Few Shot Learners to derive and execute Linked Data process descriptions |
Tobias Käfer |
Jan Henze |
27. April 2023 |
| SemOpenAlex: A Knowledge Graph and Entity Embeddings of OpenAlex |
Michael Färber |
Johan Krause |
21. Dezember 2022 |
| Leveraging Metadata and Annotations to Improve Scholarly Open-Domain Question Answering |
Michael Färber |
Thimo Schulz |
28. Juni 2022 |
| Interoperability of Hyperledger Aries and Solid Pods in the Context of Verifiable Credentials and Their Representation |
Tobias Käfer, Christoph Braun |
Hendrik Becker |
27. April 2022 |
| Towards Online Analysis with Neural Networks |
Michael Färber, Cedric Kulbach |
Emilie Geiler |
14. Februar 2022 |
| Applying Text Recognition to Mixed Handwritten and Printed Forms |
Michael Färber, Steffen Thoma |
Lucas Reissenberger |
28. Januar 2022 |
| Dealing with Concept Drift in Federated Learning |
Michael Färber, Marco Heyden |
Daniel Ebi |
03. Januar 2022 |
| Disambiguating Bibliographic References in Large Scholarly Datasets |
Michael Färber, Tarek Saier |
Meng Luan |
02. November 2021 |
| Enabling API Interoperability with Ontology Matching |
Michael Färber, Jacqueline Höllig |
Simon Richebächer |
11. Oktober 2021 |
| Leveraging Structural Information from Knowledge Graphs for Entity Linking |
Kristian Noullet, Michael Färber |
Samuel Printz |
28. Juli 2021 |
| Automated Deep Generative Modeling for Time Series Analysis |
Marco Heyden, Jacqueline Höllig, Michael Färber |
Haiou Wan |
26. Juli 2021 |
| Sequence Labeling for Reference Parsing of Cyrillic Script Scholarly Data |
Michael Färber, Tarek Saier |
Igor Shapiro |
27. Juni 2021 |
| Visual Process Monitoring A Low-Code Approach to Digitalizing and Monitoring Manufacturing Processes |
Philipp Zehnder, Michael Färber |
Tim Bossenmaier |
31. Mai 2021 |
| Towards Autoencoders for Feature Extraction |
Cedric Kulbach, Michael Färber |
Lucas Cazzonelli |
31. Mai 2021 |
| Confidentiality, Integrity and Availability in incrementally created distributed Knowledge Graphs |
Michael Färber, Tobias Käfer |
Christoph Hermann-Josef Braun |
29. April 2021 |
| Domain-specific Word Embeddings to Enable Ontology-Population |
Maribel Acosta, Lars Heling |
Nevena Nikolajevic |
29. Dezember 2020 |
| Exploring Convolutional Neural Networks - Labelling of filters |
Maribel Acosta, Anna Nguyen |
Daniel Markus Hagenmayer |
23. November 2020 |
| Explaining Reinforcement Learning through its World Model |
Patrick Philipp, Maribel Acosta |
Daniela Kaun |
28. Oktober 2020 |
| Enhancing the Microsoft Academic Knowledge Graph |
Maribel Acosta, Michael Färber |
Lin Ao |
28. September 2020 |
| Entwicklung eines Frameworks zur Bewertung von Daten und deren Qualität für den Einsatz von maschinellen Lernverfahren in Industrie 4.0 Anwendung |
York Sure-Vetter, Tarek Saier |
Michael Rößler |
14. September 2020 |
| Rich Reinforcement: Feature Feedback with Adversarial Penalization |
Patrick Philipp, Maribel Acosta |
Kai Jungel |
31. Juli 2020 |
| Enterprise-wide Process Automation in Virtual Manufacturing Environments using Semantic Web Technologies |
Maribel Acosta, Tobias Käfer |
Helen Schneider |
31. Juli 2020 |
| Linked Open Data usage in Business Intelligence systems |
York Sure-Vetter, Michael Färber |
Marco Goltze |
01. Juni 2020 |
| Empirical Analysis of Completeness and Uniformity in Knowledge Graphs |
York Sure-Vetter, Lars Heling |
David Weiß |
20. April 2020 |
| A Bag Semantics for Federated SPARQL Queries |
York Sure-Vetter, Maribel Acosta |
Chang Qin |
28. Februar 2020 |
| Estimating Join Cardinalities of SPARQL Queries with Deep Learning |
York Sure-Vetter, Maribel Acosta |
Elena Wössner |
28. Februar 2020 |
| SPARQL Query Generator over Knowledge Graphs |
York Sure-Vetter, Maribel Acosta |
Xuan-Mai Le |
09. Februar 2020 |
| Inconsistency detection approach for evolving knowledge graphs based on medical coding |
York Sure-Vetter, Maribel Acosta |
Alena Schmickl |
31. Januar 2020 |
| Prediction of critical quality feedback for product configurations with machine learning |
York Sure-Vetter, Tobias Käfer |
Axel Kimmel |
01. Januar 2020 |
| Internetbasierte Klassifizierung von Websites |
York Sure-Vetter, Michael Färber |
Benjamin Scheer |
09. Dezember 2019 |
| Webdatenextraktion mit Self-Attention Netzen |
York Sure-Vetter, Patrick Philipp |
Michael Lüder |
29. November 2019 |
| Dynamic Word Embeddings |
York Sure-Vetter, Tobias Weller |
Martin Siebert |
30. September 2019 |
| Konsistenzanalyse an verteilten Systemen am Beispiel eines Information-Brokers für ein Smart Shelf im IoT - Cloud - Kontext |
York Sure-Vetter, Tobias Käfer |
Ngan Giang Le |
23. August 2019 |
| Multi-source Knowledge Graph Completion with Machine Learning Embeddings |
York Sure-Vetter, Maribel Acosta |
Rebecca Bauer |
28. Juli 2019 |
| Automatische Augmentierung durch Netzwerk Visualisierung |
York Sure-Vetter, Rainer Stiefelhagen |
Paul Schindler |
14. Juli 2019 |
| Cookbook for semantic integration of data sources in an enterprise data lake |
York Sure-Vetter |
Stephan Ultsch |
25. Juni 2019 |
| Improving Representation Learning by Crossmodal Perception Models |
York Sure-Vetter, Achim Rettinger |
Viktoria Bogdanova |
12. Juni 2019 |
| Dynamic scaling of containerized applications based on real-time metrics |
York Sure-Vetter, Philipp Zehnder |
Samuel Abt |
31. Mai 2019 |
| Verbesserung der logik-basierten Suche eines klinischen Wissensmanagementsystems |
York Sure-Vetter |
Gilda Karimzadeh |
29. Mai 2019 |
| Creating a User Similarity Model for shared Account Identification |
York Sure-Vetter, Tobias Weller |
Tobias Dillig |
30. April 2019 |
| Evaluierung von workfloworientierte-Anwendungsentwicklung auf Basis von Azure mit Hilfe eines Low-Code |
York Sure-Vetter |
Andreas Jankowoi |
26. April 2019 |
| Predictive Maintenance |
York Sure-Vetter, Achim Rettinger |
Marvin Gießing |
29. März 2019 |
