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Simon Ott
Simon Ott
Researcher, Institute of Artificial Intelligence, Medical University of Vienna
Verified email at meduniwien.ac.at
Title
Cited by
Cited by
Year
Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
17452023
OpenBioLink: a benchmarking framework for large-scale biomedical link prediction
A Breit, S Ott, A Agibetov, M Samwald
Bioinformatics 36 (13), 4097-4098, 2020
702020
Bigbio: A framework for data-centric biomedical natural language processing
J Fries, L Weber, N Seelam, G Altay, D Datta, S Garda, S Kang, R Su, ...
Advances in Neural Information Processing Systems 35, 25792-25806, 2022
502022
ThoughtSource: A central hub for large language model reasoning data
S Ott, K Hebenstreit, V Liévin, CE Hother, M Moradi, M Mayrhauser, ...
Scientific data 10 (1), 528, 2023
452023
Mapping global dynamics of benchmark creation and saturation in artificial intelligence
S Ott, A Barbosa-Silva, K Blagec, J Brauner, M Samwald
Nature Communications 13 (1), 6793, 2022
44*2022
A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks
K Blagec, A Barbosa-Silva, S Ott, M Samwald
Scientific Data 9 (1), 322, 2022
422022
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models
S Ott, C Meilicke, M Samwald
3rd Conference on Automated Knowledge Base (AKBC) 2021, 2021
392021
Pharmacogenomics decision support in the U-PGx project: Results and advice from clinical implementation across seven European countries
K Blagec, JJ Swen, R Koopmann, KC Cheung, ...
PloS one 17 (6), e0268534, 2022
382022
A global analysis of metrics used for measuring performance in natural language processing
K Blagec, G Dorffner, M Moradi, S Ott, M Samwald
arXiv preprint arXiv:2204.11574, 2022
352022
Expressing patient selection criteria based on HL7 V3 templates within the open-source tool ART-DECOR
S Ott, C Rinner, G Duftschmid
dHealth 2019–From eHealth to dHealth, 226-233, 2019
122019
Dataset debt in biomedical language modeling
JA Fries, N Seelam, G Altay, L Weber, M Kang, D Datta, R Su, S Garda, ...
2022 Challenges and Perspectives in Creating Large Language Models …, 2022
102022
Rule-based knowledge graph completion with canonical models
S Ott, P Betz, D Stepanova, MH Gad-Elrab, C Meilicke, H Stuckenschmidt
Proceedings of the 32nd ACM International Conference on Information and …, 2023
82023
Evaluation of transformer architectures for electrical load time-series forecasting
M Hertel, S Ott, B Schäfer, R Mikut, V Hagenmeyer, O Neumann
Proceedings 32. Workshop Computational Intelligence 1, 93, 2022
62022
Transformer neural networks for building load forecasting
M Hertel, S Ott, O Neumann, B Schäfer, R Mikut, V Hagenmeyer
Tackling Climate Change with Machine Learning: Workshop at NeurIPS, 2022
32022
LinkExplorer: predicting, explaining and exploring links in large biomedical knowledge graphs
S Ott, A Barbosa-Silva, M Samwald
Bioinformatics 38 (8), 2371-2373, 2022
22022
PyClause-Simple and efficient rule handling for knowledge graphs
P Betz, L Galárraga, S Ott, C Meilicke, F Suchanek, H Stuckenschmidt
Thirty-Third International Joint Conference on Artificial Intelligence …, 2023
12023
Learning Rules from KGs Guided by Language Models
Z Peng, D Stepanova, VT Ho, H Adel, A Russo, S Ott
arXiv preprint arXiv:2409.07869, 2024
2024
Reevaluation of Inductive Link Prediction
S Ott, C Meilicke, H Stuckenschmidt
International Joint Conference on Rules and Reasoning, 75-90, 2024
2024
TaxonoMap: An Interactive System for the Exploration and Explanation of Unsupervised Large-Scale News Classification
S Ott, D Liakhovets, M Schütz, M Andresel, MW Rothmund-Burgwall, ...
21st International Conference on Content-based Multimedia Indexing, 2024
2024
Knowledge Graphs and their Applications in Civil Security
S Ott, D Liakhovets, M Schütz, M Andresel, M Bartha, S Schlarb, ...
Knowledge Graphs and Neurosymbolic AI (KG-NeSy) in Austrian 2024 Symposium …, 2024
2024
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