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Publications by the Institute AIFB in 2021
















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Ali Sunyaev, Niclas Kannengießer, Roman Beck, Horst Treiblmaier, Mary Lacity, Johann Kranz, Gilbert Fridgen, Ulli Spankowski, André Luckow
Token Economy
Business & Information Systems Engineering, Februar, 2021

Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta
Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain
Future Generation Computer Systems, 116, pages 253-264, Januar, 2021

Danilo Dessì, Diego Reforgiato Recupero, Harald Sack
An Assessment of Deep Learning Models and Word Embeddings for Toxicity Detection within Online Textual Comments
MDPI Electronics, 10, (7), 2021

Markus Lücking, Felix Kretzer, Niclas Kannengießer, Michael Beigl, Ali Sunyaev, Wilhelm Stork
When Data Fly: An Open Data Trading System in Vehicular Ad Hoc Networks
Electronics, 10, (6), pages 654, März, 2021

Konstantin D. Pandl, Scott Thiebes, Manuel Schmidt-Kraepelin, Ali Sunyaev
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19
Scientific Reports, 11, (1), pages 9414, Mai, 2021

Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
Improving Question Answering for Event-Focused Questions in Temporal Collections of News Articles
Information Retrieval Journal, Januar, 2021

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Mehwish Alam, Russa Biswas, Yiyi Chen, Danilo Dessì, Genet Asefa Gesese, Fabian Hoppe, Harald Sack
HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles
In Proc. of 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K 2021). Co-located with The Web Conference 2021., pages: 436-440, Association for Computing Machinery

Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack
Designing Intelligent Systems for Online Education: Open Challenges and Future Directions
First International Workshop on Enabling Data-Driven Decisions from Learning on the Web 2021 (L2D 2021). Co-located with WSDM 2021., pages: 57-64, CEUR Workshop Proceedings, 2876

Boulos El Asmar, Syrine Chelly, Michael Färber
AWARE: An Ontology for Situational Awareness of Autonomous Vehicles in Manufacturing
Proceedings of the 2021 Commonsense Knowledge Graph Workshop (CSKG'21)@AAAI'21, AAAI

Michael Färber, Vinzenz Zinecker, Isabela Bragaglia, Sebastian Celis, Maria Duma
C-Rex: A Comprehensive System for Recommending In-Text Citations with Explanations
Proceedings of the 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K'21∂WWW'21), ACM

Michael Färber, Frederic Bartscherer
Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion
Proceedings of the Second International Workshop on Algorithmic Bias in Search and Recommendation (Bias∂ECIR'21), Springer

Michael Färber, Alexander Albers, Felix Schüber
Identifying Used Methods and Datasets in Scientific Publications
In AAAI, Proceedings of the AAAI-21 Workshop on Scientific Document Understanding (SDU'21), AAAI

Efthimios-Enias Gojka, Niclas Kannengießer, Benjamin Sturm, Jan Bartsch, Ali Sunyaev
Security in Distributed Ledger Technology: An Analysis of Vulnerabilities and Attack Vectors
Advances in Intelligent Systems and Computing, Springer, Juni, 2021

Fabian Hoppe, Danilo Dessì, Harald Sack
Deep Learning meets Knowledge Graphs for Scholarly Data Classification
In Proc. of 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K 2021). Co-located with The Web Conference 2021., pages: 417-421, Association for Computing Machinery

Adam Jatowt, I-Chen Hung, Michael Färber, Ricardo Campos, Masatoshi Yoshikawa
Exploding TV Sets & Disappointing Laptops: Suggesting Interesting Content in News Archives based on Surprise Estimation
Proceedings of the 43rd European Conferene on Information Retrieval (ECIR'21), Springer

Johan Krause, Igor Shapiro, Tarek Saier, Michael Färber
Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic
Proceedings of the Second Workshop on Scholarly Document Processing, CEUR-WS

Anna Nguyen, Adrian Oberföll, Michael Färber
Right for the Right Reasons: Making Image Classification Intuitively Explainable
Proceedings of the 43rd European Conference on Information Retrieval (ECIR'21), Springer, März, 2021

Konstantin D. Pandl, Heiner Teigeler, Sebastian Lins, Scott Thiebes, Ali Sunyaev
Drivers and Inhibitors for Organizations’ Intention to Adopt Artificial Intelligence as a Service
Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS), pages: 1-10, none, Januar, 2021

Konstantin D. Pandl, Fabian Feiland, Scott Thiebes, Ali Sunyaev
Trustworthy machine learning for health care: scalable data valuation with the shapley value
Proceedings of the Conference on Health, Inference, and Learning, pages: 47–57, Association for Computing Machinery (ACM), April, 2021

Tim Rädsch, Sven Eckhardt, Florian Leiser, Konstantin D. Pandl, Scott Thiebes, Ali Sunyaev
What Your Radiologist Might be Missing:Using Machine Learning to Identify Mislabeled Instances of X-ray Images
In HICSS, Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS), Springer, Januar, 2021

Tabea Tietz, Oleksandra Bruns, Sandra Göller, Matthias Razum, Danilo Dessì, Harald Sack
Knowledge Graph enabled Curation and Exploration of Nuremberg’s City Heritage
In Proc. of the Conference on Digital Curation Technologies 2021 (Qurator 2021), CEUR

Oleksandra Vsesviatska, Tabea Tietz, Fabian Hoppe, Mirjam Sprau, Nils Meyer, Danilo Dessì, Harald Sack
ArDO: An Ontology to Describe the Dynamics of Multimedia Archival Records
In Proc. of the 36th ACM/SIGAPP Symposium On Applied Computing (ACM SAC 2021), pages: 1855-1863, ACM

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Tobias Weller
Learning Latent Features using Stochastic Neural Networks on Graph Structured Data
York Sure-Vetter; Maribel Acosta; Ingrid Ott, 2021/02/11, KIT, Fakultät für Wirtschaftswissenschaften

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