Martin Ringsquandl

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 34

Top Topics

Flexible Manufacturing Systems

Top Venues

Publications

Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp
Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition. CoRR (2024)
Aneta Koleva, Martin Ringsquandl, Volker Tresp
Adversarial Attacks on Tables with Entity Swap. VLDB Workshops (2023)
Aneta Koleva, Martin Ringsquandl, Volker Tresp
Adversarial Attacks on Tables with Entity Swap. CoRR (2023)
Martin Ringsquandl, Aneta Koleva
Active Learning with Tabular Language Models. CoRR (2022)
Florin Ratajczak, Mitchell Joblin, Martin Ringsquandl, Marcel Hildebrandt
Task-driven knowledge graph filtering improves prioritizing drugs for repurposing. BMC Bioinform. 23 (1) (2022)
Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp
Named Entity Recognition in Industrial Tables using Tabular Language Models. CoRR (2022)
Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp
Named Entity Recognition in Industrial Tables using Tabular Language Models. EMNLP (Industry Track) (2022)
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs. ESWC (2021)
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs. CoRR (2021)
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
Demystifying Graph Neural Network Explanations. PKDD/ECML Workshops (1) (2021)
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
On Event-Driven Knowledge Graph Completion in Digital Factories. CoRR (2021)
Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Generating Table Vector Representations. CoRR (2021)
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
Combining Sub-symbolic and Symbolic Methods for Explainability. RuleML+RR (2021)
Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler
A New Concept for Explaining Graph Neural Networks. NeSy (2021)
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
Combining Sub-Symbolic and Symbolic Methods for Explainability. CoRR (2021)
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
Demystifying Graph Neural Network Explanations. CoRR (2021)
Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. CIKM (2021)
Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. CoRR (2021)
Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Generating Table Vector Representations. DL4KG@ISWC (2021)
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Reasoning on Knowledge Graphs with Debate Dynamics. AAAI (2020)
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs. CoRR (2020)
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. CoRR (2020)
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Reasoning on Knowledge Graphs with Debate Dynamics. CoRR (2020)
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding. ISWC (P&D/Industry/BlueSky) (2018)
Ognjen Savkovic, Evgeny Kharlamov, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Ian Horrocks
Semantic Diagnostics of Smart Factories. JIST (2018)
Evgeny Kharlamov, Ognjen Savkovic, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Mikhail Roshchin, Ian Horrocks, Thomas A. Runkler
Diagnostics of Trains with Semantic Diagnostics Rules. ILP (2018)
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
Event-Enhanced Learning for KG Completion. ESWC (2018)
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
On event-driven knowledge graph completion in digital factories. IEEE BigData (2017)
Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti, Peer Kröger
Knowledge Fusion of Manufacturing Operations Data Using Representation Learning. APMS (2) (2017)
Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti
Graph-based predictions and recommendations in flexible manufacturing systems. IECON (2016)
Evgeny Kharlamov, Bernardo Cuenca Grau, Ernesto Jiménez-Ruiz, Steffen Lamparter, Gulnar Mehdi, Martin Ringsquandl, Yavor Nenov, Stephan Grimm, Mikhail Roshchin, Ian Horrocks
SOMM: Industry Oriented Ontology Management Tool. ISWC (Posters & Demos) (2016)
Evgeny Kharlamov, Bernardo Cuenca Grau, Ernesto Jiménez-Ruiz, Steffen Lamparter, Gulnar Mehdi, Martin Ringsquandl, Yavor Nenov, Stephan Grimm, Mikhail Roshchin, Ian Horrocks
Capturing Industrial Information Models with Ontologies and Constraints. ISWC (2) (2016)
Martin Ringsquandl, Steffen Lamparter, Ingo Thon, Raffaello Lepratti, Peer Kröger
Knowledge Graph Constraints for Multi-label Graph Classification. ICDM Workshops (2016)
Martin Ringsquandl, Steffen Lamparter, Sebastian Brandt, Thomas Hubauer, Raffaello Lepratti
Semantic-Guided Feature Selection for Industrial Automation Systems. ISWC (2) (2015)
Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti
Context-Aware Analytics in MOM Applications. CoRR (2014)
Martin Ringsquandl, Dusan Petkovic
Analyzing Political Sentiment on Twitter. AAAI Spring Symposium: Analyzing Microtext (2013)