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2020 – today
- 2024
[i14]Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp:
Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition. CoRR abs/2403.04577 (2024)- 2023
- [c21]Aneta Koleva, Martin Ringsquandl, Volker Tresp:
Adversarial Attacks on Tables with Entity Swap. VLDB Workshops 2023 - [i13]Aneta Koleva, Martin Ringsquandl, Volker Tresp:
Adversarial Attacks on Tables with Entity Swap. CoRR abs/2309.08650 (2023) - 2022
- [j1]Florin Ratajczak
, Mitchell Joblin, Martin Ringsquandl, Marcel Hildebrandt:
Task-driven knowledge graph filtering improves prioritizing drugs for repurposing. BMC Bioinform. 23(1): 84 (2022) - [c20]Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp:
Named Entity Recognition in Industrial Tables using Tabular Language Models. EMNLP (Industry Track) 2022: 348-356 - [i12]Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp:
Named Entity Recognition in Industrial Tables using Tabular Language Models. CoRR abs/2209.14812 (2022) - [i11]Martin Ringsquandl, Aneta Koleva:
Active Learning with Tabular Language Models. CoRR abs/2211.04128 (2022) - 2021
- [c19]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: 1538-1547 - [c18]Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Generating Table Vector Representations. DL4KG@ISWC 2021 - [c17]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: 375-391 - [c16]Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler:
A New Concept for Explaining Graph Neural Networks. NeSy 2021: 1-5 - [c15]Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Demystifying Graph Neural Network Explanations. PKDD/ECML Workshops (1) 2021: 67-75 - [c14]Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Combining Sub-symbolic and Symbolic Methods for Explainability. RuleML+RR 2021: 172-187 - [i10]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp:
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs. CoRR abs/2103.10367 (2021) - [i9]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 abs/2109.03604 (2021) - [i8]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
On Event-Driven Knowledge Graph Completion in Digital Factories. CoRR abs/2109.03655 (2021) - [i7]Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Generating Table Vector Representations. CoRR abs/2110.15132 (2021) - [i6]Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Demystifying Graph Neural Network Explanations. CoRR abs/2111.12984 (2021) - [i5]Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Combining Sub-Symbolic and Symbolic Methods for Explainability. CoRR abs/2112.01844 (2021) - 2020
- [c13]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. AAAI 2020: 4123-4131 - [i4]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. CoRR abs/2001.00461 (2020) - [i3]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 abs/2001.03436 (2020) - [i2]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp:
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. CoRR abs/2007.05292 (2020)
2010 – 2019
- 2019
- [b1]Martin Ringsquandl:
Semantic-guided predictive modeling and relational learning within industrial knowledge graphs. Ludwig Maximilian University of Munich, Germany, 2019 - 2018
- [c12]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
Event-Enhanced Learning for KG Completion. ESWC 2018: 541-559 - [c11]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: 54-71 - [c10]Ognjen Savkovic, Evgeny Kharlamov, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Ian Horrocks:
Semantic Diagnostics of Smart Factories. JIST 2018: 277-294 - [c9]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 - 2017
- [c8]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: 1676-1681 - [c7]Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti, Peer Kröger:
Knowledge Fusion of Manufacturing Operations Data Using Representation Learning. APMS (2) 2017: 302-310 - 2016
- [c6]Martin Ringsquandl, Steffen Lamparter, Ingo Thon, Raffaello Lepratti, Peer Kröger:
Knowledge Graph Constraints for Multi-label Graph Classification. ICDM Workshops 2016: 121-127 - [c5]Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti:
Graph-based predictions and recommendations in flexible manufacturing systems. IECON 2016: 6937-6942 - [c4]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 - [c3]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: 325-343 - 2015
- [c2]Martin Ringsquandl, Steffen Lamparter, Sebastian Brandt, Thomas Hubauer, Raffaello Lepratti:
Semantic-Guided Feature Selection for Industrial Automation Systems. ISWC (2) 2015: 225-240 - 2014
- [i1]Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti:
Context-Aware Analytics in MOM Applications. CoRR abs/1412.7968 (2014) - 2013
- [c1]Martin Ringsquandl, Dusan Petkovic:
Analyzing Political Sentiment on Twitter. AAAI Spring Symposium: Analyzing Microtext 2013
Coauthor Index
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last updated on 2024-10-13 18:02 CEST by the dblp team
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