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2020 – today
- 2024
[c10]Georg T. Becker
, Thomas Eisenbarth, Hannes Federrath, Mathias Fischer, Nils Loose, Simon Ott, Joana Pecholt, Stephan Marwedel, Dominik Meyer, Jan Stijohann, Anum Talpur, Matthias Vallentin:
SOVEREIGN - Towards a Holistic Approach to Critical Infrastructure Protection. ARES 2024: 144:1-144:9- [c9]Simon Ott, Benjamin Orthen, Alexander Weidinger, Julian Horsch, Vijayanand Nayani, Jan-Erik Ekberg:
MultiTEE: Distributing Trusted Execution Environments. AsiaCCS 2024 - [c8]Patrick Betz, Luis Galárraga, Simon Ott, Christian Meilicke, Fabian M. Suchanek, Heiner Stuckenschmidt:
PyClause - Simple and Efficient Rule Handling for Knowledge Graphs. IJCAI 2024: 8610-8613 - [c7]Simon Ott, Christian Meilicke, Heiner Stuckenschmidt:
Reevaluation of Inductive Link Prediction. RuleML+RR 2024: 75-90 - [i10]Zihang Peng, Daria Stepanova, Vinh Thinh Ho, Heike Adel, Alessandra Russo, Simon Ott:
Learning Rules from KGs Guided by Language Models. CoRR abs/2409.07869 (2024) - [i9]Simon Ott, Christian Meilicke, Heiner Stuckenschmidt:
Reevaluation of Inductive Link Prediction. CoRR abs/2409.20130 (2024) - 2023
- [c6]Simon Ott, Monika Kamhuber, Joana Pecholt, Sascha Wessel:
Universal Remote Attestation for Cloud and Edge Platforms. ARES 2023: 12:1-12:11 - [c5]Simon Ott, Patrick Betz, Daria Stepanova, Mohamed H. Gad-Elrab, Christian Meilicke, Heiner Stuckenschmidt:
Rule-based Knowledge Graph Completion with Canonical Models. CIKM 2023: 1971-1981 - [i8]Simon Ott, Konstantin Hebenstreit, Valentin Liévin, Christoffer Egeberg Hother, Milad Moradi, Maximilian Mayrhauser, Robert Praas, Ole Winther, Matthias Samwald:
ThoughtSource: A central hub for large language model reasoning data. CoRR abs/2301.11596 (2023) - 2022
- [j2]Simon Ott, Adriano Barbosa-Silva, Matthias Samwald:
LinkExplorer: predicting, explaining and exploring links in large biomedical knowledge graphs. Bioinform. 38(8): 2371-2373 (2022) - [c4]Jason A. Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz:
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing. NeurIPS 2022 - [i7]Adriano Barbosa-Silva, Simon Ott, Kathrin Blagec, Jan Brauner, Matthias Samwald:
Mapping global dynamics of benchmark creation and saturation in artificial intelligence. CoRR abs/2203.04592 (2022) - [i6]Kathrin Blagec, Georg Dorffner, Milad Moradi, Simon Ott, Matthias Samwald:
A global analysis of metrics used for measuring performance in natural language processing. CoRR abs/2204.11574 (2022) - [i5]Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Myungsun Kang, Ruisi Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José David Posada, John Michael Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Michio Broad, Yanis Labrak, Shlok S. Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz:
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing. CoRR abs/2206.15076 (2022) - 2021
- [c3]Simon Ott, Christian Meilicke, Matthias Samwald:
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models. AKBC 2021 - [i4]Simon Ott, Christian Meilicke, Matthias Samwald:
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models. CoRR abs/2109.08002 (2021) - [i3]Kathrin Blagec, Adriano Barbosa-Silva, Simon Ott, Matthias Samwald:
A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks. CoRR abs/2110.01434 (2021) - 2020
- [j1]Anna Breit, Simon Ott, Asan Agibetov, Matthias Samwald:
OpenBioLink: a benchmarking framework for large-scale biomedical link prediction. Bioinform. 36(13): 4097-4098 (2020) - [c2]Manuel Huber, Stefan Hristozov, Simon Ott, Vasil Sarafov, Marcus Peinado:
The Lazarus Effect: Healing Compromised Devices in the Internet of Small Things. AsiaCCS 2020: 6-19 - [i2]Manuel Huber, Stefan Hristozov, Simon Ott, Vasil Sarafov, Marcus Peinado:
The Lazarus Effect: Healing Compromised Devices in the Internet of Small Things. CoRR abs/2005.09714 (2020) - [i1]Simon Ott, Laura Graf, Asan Agibetov, Christian Meilicke, Matthias Samwald:
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs. CoRR abs/2012.05750 (2020)
2010 – 2019
- 2019
- [c1]Simon Ott, Christoph Rinner, Georg Duftschmid:
Expressing Patient Selection Criteria Based on HL7 V3 Templates Within the Open-Source Tool ART-DECOR. dHealth 2019: 226-233
Coauthor Index
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