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Steffen Staab
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- affiliation: Universität Stuttgart, Germany
- affiliation: University of Southampton, UK
- affiliation (former): University of Koblenz-Landau, Germany
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2020 – today
- 2024
- [j85]Constantin Hofmann, Steffen Staab, Michael Selzer, Gerhard Neumann, Kai Furmans, Michael Heizmann, Jürgen Beyerer, Gisela Lanza, Julius Pfrommer, Tobias Düser, Jan-Felix Klein:
The role of an ontology-based knowledge backbone in a circular factory. Autom. 72(9): 875-883 (2024) - [c298]Jiaxin Pan, Mojtaba Nayyeri, Yinan Li, Steffen Staab:
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces. AAAI 2024: 8913-8920 - [c297]Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab:
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. AAAI 2024: 9205-9213 - [c296]Faizan E. Mustafa, Corina Dima, Juan G. Díaz Ochoa, Steffen Staab:
Leveraging Wikidata for Biomedical Entity Linking in a Low-Resource Setting: A Case Study for German. ClinicalNLP@NAACL 2024: 202-207 - [c295]Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Robust Knowledge Extraction from Large Language Models using Social Choice Theory. AAMAS 2024: 1593-1601 - [c294]Chandan Kumar, Bhupender Kumar Saini, Steffen Staab:
Enhancing Online Meeting Experience through Shared Gaze-Attention. CHI Extended Abstracts 2024: 128:1-128:6 - [c293]Philipp Seifer, Daniel Hernández, Ralf Lämmel, Steffen Staab:
Inferring SHACL Constraints for Results of Composable Graph Queries (Extended Abstract). Description Logics 2024 - [c292]Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. ECAI 2024: 4279-4286 - [c291]Matthias Lohr, Sven Peldszus, Jan Jürjens, Steffen Staab:
Fast, Favorable, and Fair Blockchain-based Exchange of Digital Goods using State Channels. ICBC 2024: 279-287 - [c290]Diellza Elshani, Arlind Dervishaj, Daniel Hernández, Kjartan Gudmundsson, Steffen Staab, Thomas Wortmann:
An Ontology for the Reuse and Tracking of Prefabricated Building Components. KG4S@ESWC 2024: 53-64 - [c289]Akram Sadat Hosseini, Steffen Staab:
Disambiguating Emotional Connotations of Words Using Contextualized Word Representations. *SEM@NAACL 2024: 264-277 - [c288]Farane Jalali Farahani, Sara Hanke, Corina Dima, Raphael Heiko Heiberger, Steffen Staab:
Who is targeted? Detecting social group mentions in online political discussions. WebSci (Companion) 2024: 24-25 - [c287]Philipp Seifer, Daniel Hernández, Ralf Lämmel, Steffen Staab:
From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries. WWW 2024: 2064-2074 - [e33]Arild Waaler, Evgeny Kharlamov, Baifan Zhou, Ahmet Soylu, Dimitrios Kyritsis, Dumitru Roman, Ognjen Savkovic, Steffen Staab:
Proceedings of the Second International Workshop on Semantic Industrial Information Modelling (SemIIM 2023) co-located with the 22nd International Semantic Web Conference (ISWC 2023), Greece, Athens, 7 November 2023. CEUR Workshop Proceedings 3647, CEUR-WS.org 2024 [contents] - [e32]Luca Maria Aiello, Yelena Mejova, Oshani Seneviratne, Jun Sun, Sierra Kaiser, Steffen Staab:
Proceedings of the 16th ACM Web Science Conference, WEBSCI 2024, Stuttgart, Germany, May 21-24, 2024. ACM 2024 [contents] - [d13]Ramin Hedeshy, Raphael Menges, Steffen Staab:
Raw audio samples of the CNVVE dataset. DaRUS, 2024 - [d12]Ramin Hedeshy, Raphael Menges, Steffen Staab:
Code for Training and Testing CNVVE. DaRUS, 2024 - [d11]Ramin Hedeshy, Raphael Menges, Steffen Staab:
CNVVE Dataset clean audio samples. DaRUS, 2024 - [d10]Matthias Lohr, Sven Peldszus, Jan Jürjens, Steffen Staab:
Fast, Favorable, and Fair Blockchain-based Exchange of Digital Goods using State Channels - Replication Package. Zenodo, 2024 - [d9]Faizan E. Mustafa, Corina Dima, Juan G. Díaz Ochoa, Steffen Staab:
UMLS-Wikidata. Zenodo, 2024 - [d8]Philipp Seifer, Daniel Hernández, Ralf Lämmel, Steffen Staab:
Code for From Shapes to Shapes. DaRUS, 2024 - [i71]Philipp Seifer, Daniel Hernández, Ralf Lämmel, Steffen Staab:
From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries (Extended Version). CoRR abs/2402.08509 (2024) - [i70]Mehdi Azarafza, Mojtaba Nayyeri, Charles Steinmetz, Steffen Staab, Achim Rettberg:
Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving. CoRR abs/2402.13602 (2024) - [i69]Thomas Monninger, Vandana Dokkadi, Md Zafar Anwar, Steffen Staab:
TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation. CoRR abs/2404.11803 (2024) - [i68]Yunjie He, Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. CoRR abs/2407.09212 (2024) - [i67]Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Evgeny Kharlamov, Steffen Staab:
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings. CoRR abs/2407.11821 (2024) - [i66]Xiny Pan, Daniel Hernández, Philipp Seifer, Ralf Lämmel, Steffen Staab:
eSPARQL: Representing and Reconciling Agnostic and Atheistic Beliefs in RDF-star Knowledge Graphs. CoRR abs/2407.21483 (2024) - [i65]Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. CoRR abs/2408.08226 (2024) - [i64]Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Conformalized Answer Set Prediction for Knowledge Graph Embedding. CoRR abs/2408.08248 (2024) - [i63]Anna-Maria Halacheva, Mojtaba Nayyeri, Steffen Staab:
Expanding Expressivity in Transformer Models with MöbiusAttention. CoRR abs/2409.12175 (2024) - [i62]Michael Mink, Thomas Monninger, Steffen Staab:
LMT-Net: Lane Model Transformer Network for Automated HD Mapping from Sparse Vehicle Observations. CoRR abs/2409.12409 (2024) - 2023
- [j84]Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer:
SCENE: Reasoning About Traffic Scenes Using Heterogeneous Graph Neural Networks. IEEE Robotics Autom. Lett. 8(3): 1531-1538 (2023) - [c286]Mojtaba Nayyeri, Bo Xiong, Majid Mohammadi, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Jens Lehmann, Steffen Staab:
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories. ACL (Findings) 2023: 7165-7179 - [c285]Bo Xiong, Mojtaba Nayyeri, Shirui Pan, Steffen Staab:
Shrinking Embeddings for Hyper-Relational Knowledge Graphs. ACL (1) 2023: 13306-13320 - [c284]Carlos Mougan, José M. Álvarez, Salvatore Ruggieri, Steffen Staab:
Fairness Implications of Encoding Protected Categorical Attributes. AIES 2023: 454-465 - [c283]Diellza Elshani, Daniel Hernández, Alessio Lombardi, Lasath Siriwardena, Tobias Schwinn, Al Fisher, Steffen Staab, Achim Menges, Thomas Wortmann:
Building Information Validation and Reasoning Using Semantic Web Technologies. CAAD Futures 2023: 470-484 - [c282]Steffen Staab:
Knowledge Graphs for Knowing More and Knowing for Sure. CIKM 2023: 4 - [c281]Alexandra Baier, Decky Aspandi, Steffen Staab:
ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks. IJCAI 2023: 3461-3469 - [c280]Ramin Hedeshy, Raphael Menges, Steffen Staab:
CNVVE: Dataset and Benchmark for Classifying Non-verbal Voice. INTERSPEECH 2023: 1553-1557 - [c279]Thomas Monninger, Andreas Weber, Steffen Staab:
Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data. ITSC 2023: 1583-1590 - [c278]Yunjie He, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
Can Pattern Learning Enhance Complex Logical Query Answering? ISWC (Posters/Demos/Industry) 2023 - [c277]Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab:
Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces. ISWC 2023: 388-407 - [c276]Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov:
Towards Statistical Reasoning with Ontology Embeddings. ISWC (Posters/Demos/Industry) 2023 - [c275]Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang:
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. SIGIR 2023: 2052-2056 - [c274]Ciheng Zhang, Decky Aspandi, Steffen Staab:
Predicting Eye Gaze Location on Websites. VISIGRAPP (4: VISAPP) 2023: 121-132 - [c273]Akram Sadat Hosseini, Steffen Staab:
Emotional Framing in the Spreading of False and True Claims. WebSci 2023: 96-106 - [c272]Yi Wang, Corina Dima, Steffen Staab:
WikiMed-DE: Constructing a Silver-Standard Dataset for German Biomedical Entity Linking using Wikipedia and Wikidata. Wikidata@ISWC 2023 - [c271]Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández, Steffen Staab:
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. WWW 2023: 2600-2610 - [d7]Alexandra Baier, Decky Aspandi, Steffen Staab:
Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"". DaRUS, 2023 - [d6]Alexandra Baier, Steffen Staab:
A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. 1.2. DaRUS, 2023 [all versions] - [d5]Diellza Elshani, Alessio Lombardi, Daniel Hernández, Steffen Staab, Al Fisher, Thomas Wortmann:
BHoM to bhOWL converter. DaRUS, 2023 - [d4]Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, Steffen Staab:
Data for: NILK, entity linking dataset targeting NIL-linking cases. DaRUS, 2023 - [d3]Yi Wang, Corina Dima, Steffen Staab:
WikiMed-DE. Zenodo, 2023 - [i61]Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer:
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks. CoRR abs/2301.03512 (2023) - [i60]Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández, Steffen Staab:
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. CoRR abs/2302.06229 (2023) - [i59]Carlos Mougan, Laura State, Antonio Ferrara, Salvatore Ruggieri, Steffen Staab:
Demographic Parity Inspector: Fairness Audits via the Explanation Space. CoRR abs/2303.08040 (2023) - [i58]Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR abs/2303.08081 (2023) - [i57]Yunjie He, Mojtaba Nayyeri, Bo Xiong, Evgeny Kharlamov, Steffen Staab:
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs. CoRR abs/2303.11858 (2023) - [i56]Akram Sadat Hosseini, Steffen Staab:
Emotional Framing in the Spreading of False and True Claims. CoRR abs/2303.16733 (2023) - [i55]Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang:
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. CoRR abs/2304.05973 (2023) - [i54]Francisco Castillo-Eslava, Carlos Mougan, Alejandro Romero-Reche, Steffen Staab:
The Role of Large Language Models in the Recognition of Territorial Sovereignty: An Analysis of the Construction of Legitimacy. CoRR abs/2304.06030 (2023) - [i53]Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab:
Geometric Relational Embeddings: A Survey. CoRR abs/2304.11949 (2023) - [i52]Bo Xiong, Mojtaba Nayyeri, Shirui Pan, Steffen Staab:
Shrinking Embeddings for Hyper-Relational Knowledge Graphs. CoRR abs/2306.02199 (2023) - [i51]Tim Schneider, Amin Totounferoush, Wolfgang Nowak, Steffen Staab:
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning. CoRR abs/2306.08506 (2023) - [i50]Thomas Monninger, Andreas Weber, Steffen Staab:
Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data. CoRR abs/2309.14793 (2023) - [i49]Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci:
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation. CoRR abs/2311.12684 (2023) - [i48]Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab:
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. CoRR abs/2312.09219 (2023) - [i47]Jiaxin Pan, Mojtaba Nayyeri, Yinan Li, Steffen Staab:
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces. CoRR abs/2312.13680 (2023) - [i46]Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Robust Knowledge Extraction from Large Language Models using Social Choice Theory. CoRR abs/2312.14877 (2023) - 2022
- [j83]Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann:
Knowledge Graphs. ACM Comput. Surv. 54(4): 71:1-71:37 (2022) - [c270]Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, Steffen Staab:
NILK: Entity Linking Dataset Targeting NIL-linking Cases. CIKM 2022: 4069-4073 - [c269]Nico Potyka, Mohamad Bazo, Jonathan Spieler, Steffen Staab:
Learning Gradual Argumentation Frameworks using Meta-heuristics. ArgML@COMMA 2022: 96-108 - [c268]Jonathan Spieler, Nico Potyka, Steffen Staab:
Interpretable Machine Learning with Gradual Argumentation Frameworks. COMMA 2022: 373-374 - [c267]Matthias Lohr, Kenneth Skiba, Marco Konersmann, Jan Jürjens, Steffen Staab:
Formalizing Cost Fairness for Two-Party Exchange Protocols using Game Theory and Applications to Blockchain. ICBC 2022: 1-5 - [c266]Ramin Hedeshy, Chandan Kumar, Mike Lauer, Steffen Staab:
All Birds Must Fly: The Experience of Multimodal Hands-free Gaming with Gaze and Nonverbal Voice Synchronization. ICMI 2022: 278-287 - [c265]Anastasiia Iurshina, Muhammad Ahsan Shahid, Tobias Backes, Philipp Mayr, Steffen Staab:
Understanding literature references in academic full text (ULITE). JCDL 2022: 56 - [c264]Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab:
Ultrahyperbolic Knowledge Graph Embeddings. KDD 2022: 2130-2139 - [c263]Diellza Elshani, Alessio Lombardi, Al Fisher, Steffen Staab, Daniel Hernández, Thomas Wortmann:
Knowledge Graphs for Multidisciplinary Co-Design: Introducing RDF to BHoM. LDAC@ESWC 2022: 32-42 - [c262]Diellza Elshani, Thomas Wortmann, Steffen Staab:
Towards Better Co-Design with Disciplinary Ontologies: Review and Evaluation of Data Interoperability in the AEC Industry. LDAC@ESWC 2022: 43-52 - [c261]Bo Xiong, Michael Cochez, Mojtaba Nayyeri, Steffen Staab:
Hyperbolic Embedding Inference for Structured Multi-Label Prediction. NeurIPS 2022 - [c260]Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab:
Pseudo-Riemannian Graph Convolutional Networks. NeurIPS 2022 - [c259]Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab:
Faithful Embeddings for Eℒ++ Knowledge Bases. ISWC 2022: 22-38 - [c258]Rafika Boutalbi, Mira Ait Saada, Anastasiia Iurshina, Steffen Staab, Mohamed Nadif:
Tensor-based Graph Modularity for Text Data Clustering. SIGIR 2022: 2227-2231 - [d2]Alexandra Baier, Steffen Staab:
A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. 1.0. DaRUS, 2022 [all versions] - [d1]Alexandra Baier, Steffen Staab:
A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. 1.1. DaRUS, 2022 [all versions] - [i45]Decky Aspandi, Sarah Doosdal, Victor Ülger, Lukas Gillich, Steffen Staab:
User Interaction Analysis through Contrasting Websites Experience. CoRR abs/2201.03638 (2022) - [i44]Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab:
Box Embeddings for the Description Logic EL++. CoRR abs/2201.09919 (2022) - [i43]Carlos Mougan, José M. Álvarez, Gourab K. Patro, Salvatore Ruggieri, Steffen Staab:
Fairness implications of encoding protected categorical attributes. CoRR abs/2201.11358 (2022) - [i42]Tim Schneider, Chen Qiu, Marius Kloft, Decky Aspandi-Latif, Steffen Staab, Stephan Mandt, Maja Rudolph:
Detecting Anomalies within Time Series using Local Neural Transformations. CoRR abs/2202.03944 (2022) - [i41]Matthias Lohr, Kenneth Skiba, Marco Konersmann, Jan Jürjens, Steffen Staab:
Formalizing Cost Fairness for Two-Party Exchange Protocols using Game Theory and Applications to Blockchain (Extended Version). CoRR abs/2203.05925 (2022) - [i40]Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab:
Ultrahyperbolic Knowledge Graph Embeddings. CoRR abs/2206.00449 (2022) - [i39]Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab:
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces. CoRR abs/2208.02743 (2022) - [i38]Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space. CoRR abs/2210.12369 (2022) - [i37]Ciheng Zhang, Decky Aspandi, Steffen Staab:
Predicting Eye Gaze Location on Websites. CoRR abs/2211.08074 (2022) - [i36]Daniel Frank, Decky Aspandi-Latif, Michael Muehlebach, Benjamin Unger, Steffen Staab:
Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report. CoRR abs/2212.05781 (2022) - [i35]Abraham Bernstein, Anita Gohdes, Cristina Sarasua, Steffen Staab, Beth Simone Noveck:
Challenges and Opportunities of Democracy in the Digital Society (Dagstuhl Seminar 22361). Dagstuhl Reports 12(9): 1-19 (2022) - 2021
- [b4]Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann:
Knowledge Graphs. Synthesis Lectures on Data, Semantics, and Knowledge, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00790-3, pp. 1-257 - [j82]Bettina Berendt, Fabien Gandon, Susan Halford, Wendy Hall, Jim Hendler, Katharina E. Kinder-Kurlanda, Eirini Ntoutsi, Steffen Staab:
Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science (Dagstuhl Perspectives Workshop 18262). Dagstuhl Manifestos 9(1): 1-42 (2021) - [j81]Peng Gang Sun, Qiguang Miao, Steffen Staab:
Community-based k-shell decomposition for identifying influential spreaders. Pattern Recognit. 120: 108130 (2021) - [c257]Ramin Hedeshy, Chandan Kumar, Raphael Menges, Steffen Staab:
Hummer: Text Entry by Gaze and Hum. CHI 2021: 741:1-741:11 - [c256]Lukas Schmelzeisen, Corina Dima, Steffen Staab:
Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History. Wikidata@ISWC 2021 - [c255]Philipp Seifer, Ralf Lämmel, Steffen Staab:
ProGS: Property Graph Shapes Language. ISWC 2021: 392-409 - [i34]Alexandra Baier, Zeyd Boukhers, Steffen Staab:
Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. CoRR abs/2103.06727 (2021) - [i33]Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab:
Semi-Riemannian Graph Convolutional Networks. CoRR abs/2106.03134 (2021) - [i32]Jonathan Spieler, Nico Potyka, Steffen Staab:
Learning Gradual Argumentation Frameworks using Genetic Algorithms. CoRR abs/2106.13585 (2021) - [i31]Philipp Seifer, Ralf Lämmel, Steffen Staab:
ProGS: Property Graph Shapes Language (Extended Version). CoRR abs/2107.05566 (2021) - [i30]Lukas Schmelzeisen, Corina Dima, Steffen Staab:
Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History. CoRR abs/2112.05003 (2021) - [i29]Matthias Lohr, Benjamin Schlosser, Jan Jürjens, Steffen Staab:
Cost Fairness for Blockchain-Based Two-Party Exchange Protocols. IACR Cryptol. ePrint Arch. 2021: 166 (2021) - 2020
- [j80]Sergei Koltcov, Vera Ignatenko, Zeyd Boukhers, Steffen Staab:
Analyzing the Influence of Hyper-parameters and Regularizers of Topic Modeling in Terms of Renyi Entropy. Entropy 22(4): 394 (2020) - [j79]Qusai Ramadan, Daniel Strüber, Mattia Salnitri, Jan Jürjens, Volker Riediger, Steffen Staab:
A semi-automated BPMN-based framework for detecting conflicts between security, data-minimization, and fairness requirements. Softw. Syst. Model. 19(5): 1191-1227 (2020) - [j78]Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining Knowl. Discov. 10(3) (2020) - [c254]