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Steffen Thoma
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- affiliation: FZI Research Center for Information Technology, Karlsruhe, Germany
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2020 – today
- 2024
- [j3]Hannes Schlieter, Kai Gand, Thure Georg Weimann, Emanuel Sandner, Karl Kreiner, Steffen Thoma, Jin Liu, Massimo Caprino, Massimo Corbo, Agnese Seregni, Peppino Tropea, Rocio Del Pino, Juan Carlos Gomez-Esteban, Iñigo Gabilondo, Andreea Elena Lacraru, Stefan Sebastian Busnatu:
Designing Virtual Coaching Solutions. Bus. Inf. Syst. Eng. 66(3): 377-400 (2024) - [c17]Jin Liu, Steffen Thoma:
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain. SemEval@NAACL 2024: 1269-1279 - [i7]Jin Liu, Steffen Thoma:
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain. CoRR abs/2406.10040 (2024) - 2023
- [j2]Jacqueline Höllig, Cedric Kulbach, Steffen Thoma:
TSInterpret: A Python Package for the Interpretability of Time Series Classification. J. Open Source Softw. 8(87): 5220 (2023) - [c16]Alexander Naumann, Felix Hertlein, Daniel Grimm, Maximilian Zipfl, Steffen Thoma, Achim Rettinger, Lavdim Halilaj, Juergen Luettin, Stefan Schmid, Holger Caesar:
Lanelet2 for nuScenes: Enabling Spatial Semantic Relationships and Diverse Map-based Anchor Paths. CVPR Workshops 2023: 3248-3257 - [c15]Jacqueline Höllig, Steffen Thoma, Florian Grimm:
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification. ICMLA 2023: 1126-1131 - [c14]Daniel Grimm, Maximilian Zipfl, Felix Hertlein, Alexander Naumann, Juergen Luettin, Steffen Thoma, Stefan Schmid, Lavdim Halilaj, Achim Rettinger, J. Marius Zöllner:
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions. ITSC 2023: 2901-2907 - [i6]Alexander Naumann, Felix Hertlein, Laura Dörr, Steffen Thoma, Kai Furmans:
Literature Review: Computer Vision Applications in Transportation Logistics and Warehousing. CoRR abs/2304.06009 (2023) - [i5]Jacqueline Höllig, Steffen Thoma, Florian Grimm:
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification. CoRR abs/2310.14957 (2023) - [i4]Daniel Grimm, Maximilian Zipfl, Felix Hertlein, Alexander Naumann, Jürgen Lüttin, Steffen Thoma, Stefan Schmid, Lavdim Halilaj, Achim Rettinger, J. Marius Zöllner:
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions. CoRR abs/2311.18553 (2023) - 2022
- [c13]Walter Laurito, Jacqueline Höllig, Jonas Lachowitzer, Steffen Thoma, Matthias Budde, Patrick Philipp:
AIDA-Vis - Automatic Data Visualization with Human Preferences. GI-Jahrestagung 2022: 301-305 - [c12]Jacqueline Höllig, Cedric Kulbach, Steffen Thoma:
TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification. ICMLA 2022: 29-36 - [c11]Maximilian Zipfl, Felix Hertlein, Achim Rettinger, Steffen Thoma, Lavdim Halilaj, Juergen Luettin, Stefan Schmid, Cory A. Henson:
Relation-based Motion Prediction using Traffic Scene Graphs. ITSC 2022: 825-831 - [c10]Jacqueline Höllig, Steffen Thoma, Cedric Kulbach:
Evolutionary Counterfactual Visual Explanation. KI (Workshops) 2022 - [c9]Jin Liu, Steffen Thoma:
German to English: Fake News Detection with Machine Translation. KI (Workshops) 2022 - [c8]Marco Heyden, Jürgen Wilwer, Edouard Fouché, Steffen Thoma, Sven Matthiesen, Thomas Gwosch:
Tandem Outlier Detectors for Decentralized Data. SSDBM 2022: 25:1-25:4 - [i3]Jacqueline Höllig, Cedric Kulbach, Steffen Thoma:
TSInterpret: A unified framework for time series interpretability. CoRR abs/2208.05280 (2022) - [i2]Maximilian Zipfl, Felix Hertlein, Achim Rettinger, Steffen Thoma, Lavdim Halilaj, Juergen Luettin, Stefan Schmid, Cory A. Henson:
Relation-based Motion Prediction using Traffic Scene Graphs. CoRR abs/2212.02503 (2022) - 2021
- [c7]Cedric Kulbach, Steffen Thoma:
Personalized Neural Architecture Search. ICDM (Workshops) 2021: 581-590 - 2020
- [c6]Cedric Kulbach, Patrick Philipp, Steffen Thoma:
Personalized Automated Machine Learning. ECAI 2020: 1246-1253
2010 – 2019
- 2019
- [b1]Steffen Thoma:
Multi-modal Data Fusion based on Embeddings. Studies on the Semantic Web 41, IOS Press 2019, ISBN 978-1-64368-028-6, pp. 1-150 - [j1]Steffen Thoma, Andreas Thalhammer, Andreas Harth, Rudi Studer:
FusE: Entity-Centric Data Fusion on Linked Data. ACM Trans. Web 13(2): 8:1-8:36 (2019) - 2017
- [c5]Andreas Thalhammer, Steffen Thoma, Andreas Harth, Rudi Studer:
Entity-centric Data Fusion on the Web. HT 2017: 25-34 - [c4]Fabian Both, Steffen Thoma, Achim Rettinger:
Cross-modal Knowledge Transfer: Improving the Word Embedding of Apple by Looking at Oranges. K-CAP 2017: 18:1-18:8 - [c3]Steffen Thoma, Achim Rettinger, Fabian Both:
Towards Holistic Concept Representations: Embedding Relational Knowledge, Visual Attributes, and Distributional Word Semantics. ISWC (1) 2017: 694-710 - [c2]Lei Zhang, Maribel Acosta, Michael Färber, Steffen Thoma, Achim Rettinger:
BreXearch: Exploring Brexit Data Using Cross-Lingual and Cross-Media Semantic Search. ISWC (Posters, Demos & Industry Tracks) 2017 - [i1]Steffen Thoma, Achim Rettinger, Fabian Both:
Knowledge Fusion via Embeddings from Text, Knowledge Graphs, and Images. CoRR abs/1704.06084 (2017) - 2015
- [c1]Achim Rettinger, Artem Schumilin, Steffen Thoma, Basil Ell:
Learning a Cross-Lingual Semantic Representation of Relations Expressed in Text. ESWC 2015: 337-352
Coauthor Index
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