Artikel mit Open-Access-Mandaten - Volker TrespWeitere Informationen
Verfügbar: 34
PyKEEN 1.0: a python library for training and evaluating knowledge graph embeddings
M Ali, M Berrendorf, CT Hoyt, L Vermue, S Sharifzadeh, V Tresp, ...
Journal of Machine Learning Research 22 (82), 1-6, 2021
Mandate: Fraunhofer-Gesellschaft, Innovation Fund Denmark, Bundesministerium für …
Bringing light into the dark: A large-scale evaluation of knowledge graph embedding models under a unified framework
M Ali, M Berrendorf, CT Hoyt, L Vermue, M Galkin, S Sharifzadeh, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 8825 …, 2021
Mandate: US Department of Defense, Innovation Fund Denmark, Bundesministerium für …
Tlogic: Temporal logical rules for explainable link forecasting on temporal knowledge graphs
Y Liu, Y Ma, M Hildebrandt, M Joblin, V Tresp
Proceedings of the AAAI conference on artificial intelligence 36 (4), 4120-4127, 2022
Mandate: Bundesministerium für Bildung und Forschung
Predicting visual acuity by using machine learning in patients treated for neovascular age-related macular degeneration
M Rohm, V Tresp, M Müller, C Kern, I Manakov, M Weiss, DA Sim, ...
Ophthalmology 125 (7), 1028-1036, 2018
Mandate: National Institute for Health Research, UK
Segpgd: An effective and efficient adversarial attack for evaluating and boosting segmentation robustness
J Gu, H Zhao, V Tresp, PHS Torr
European Conference on Computer Vision, 308-325, 2022
Mandate: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Multi-relational learning with gaussian processes
Z Xu, K Kersting, V Tresp
Twenty-First International Joint Conference on Artificial Intelligence, 2009
Mandate: Fraunhofer-Gesellschaft
Classification by attention: Scene graph classification with prior knowledge
S Sharifzadeh, SM Baharlou, V Tresp
Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5025-5033, 2021
Mandate: Bundesministerium für Bildung und Forschung
Relationformer: A Unified Framework for Image-to-Graph Generation
S Shit, R Koner, B Wittmann, J Paetzold, I Ezhov, H Li, J Pan, ...
European Conference on Computer Vision, 422-439, 2022
Mandate: European Commission, Bundesministerium für Bildung und Forschung
Causal inference under networked interference and intervention policy enhancement
Y Ma, V Tresp
International Conference on Artificial Intelligence and Statistics, 3700-3708, 2021
Mandate: Bundesministerium für Bildung und Forschung
Improving inductive link prediction using hyper-relational facts
M Ali, M Berrendorf, M Galkin, V Thost, T Ma, V Tresp, J Lehmann
The Semantic Web–ISWC 2021: 20th International Semantic Web Conference, ISWC …, 2021
Mandate: Bundesministerium für Bildung und Forschung
Improving visual relation detection using depth maps
S Sharifzadeh, SM Baharlou, M Berrendorf, R Koner, V Tresp
2020 25th International Conference on Pattern Recognition (ICPR), 3597-3604, 2021
Mandate: Bundesministerium für Bildung und Forschung
Social network mining with nonparametric relational models
Z Xu, V Tresp, A Rettinger, K Kersting
International Workshop on Social Network Mining and Analysis, 77-96, 2008
Mandate: Fraunhofer-Gesellschaft
Active learning for entity alignment
M Berrendorf, E Faerman, V Tresp
Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021
Mandate: Bundesministerium für Bildung und Forschung
Knowledge graph entity alignment with graph convolutional networks: Lessons learned
M Berrendorf, E Faerman, V Melnychuk, V Tresp, T Seidl
Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020
Mandate: Bundesministerium für Bildung und Forschung
Variational quantum circuit model for knowledge graph embedding
Y Ma, V Tresp, L Zhao, Y Wang
Advanced Quantum Technologies 2 (7-8), 1800078, 2019
Mandate: Bundesministerium für Bildung und Forschung
TempCaps: a capsule network-based embedding model for temporal knowledge graph completion
G Fu, Z Meng, Z Han, Z Ding, Y Ma, M Schubert, V Tresp, R Wattenhofer
Proceedings of the Sixth Workshop on Structured Prediction for NLP, 22-31, 2022
Mandate: Bundesministerium für Bildung und Forschung
Reality mining on micropost streams
M Balduini, I Celino, D Dell'Aglio, E Della Valle, Y Huang, T Lee, SH Kim, ...
Semantic Web 5 (5), 341-356, 2014
Mandate: European Commission
Improving scene graph classification by exploiting knowledge from texts
S Sharifzadeh, SM Baharlou, M Schmitt, H Schütze, V Tresp
Proceedings of the AAAI conference on artificial intelligence 36 (2), 2189-2197, 2022
Mandate: Bundesministerium für Bildung und Forschung
Human-machine collaboration for medical image segmentation
M Ravanbakhsh, V Tschernezki, F Last, T Klein, K Batmanghelich, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Mandate: US National Institutes of Health, European Commission
Relational and Fine-Grained Argument Mining: The LMU Munich project ReMLAV within the DFG Priority Program RATIO “Robust Argumentation Machines”
D Trautmann, M Fromm, V Tresp, T Seidl, H Schütze
Datenbank-Spektrum 20, 99-105, 2020
Mandate: Deutsche Forschungsgemeinschaft
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