Publications

We publish in the field of basic research in the areas of computational linguistics, information systems, computer vision or machine learning.

2024

• Erdelt, P. (2024). A Cloud-Native Adoption of Classical DBMS Performance Benchmarks and Tools. In: Nambiar, R., Poess, M. (eds) Performance Evaluation and Benchmarking. TPCTC 2023. Lecture Notes in Computer Science, vol 14247. Springer, Cham.

• Marco Kurzweg, Yannick Weiss, Marc O. Ernst, Albrecht Schmidt, and Katrin Wolf. 2024. A Survey on Haptic Feedback through Sensory Illusions in Interactive Systems. A Survey on Haptic Feedback through Sensory Illusions in Interactive Systems. In ACM Comput. Surv. ACM, New York, NY, USA, 39 pages.

• Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Alexandra Bekiaridou, Keno Bressem, Stavros Zanos, Felix Gers, Wolfgang Nejdl, Alexander Löser (2024). Boosting Long-Tail Data Classification with Sparse Prototypical Networks. In: Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E., Žliobaitė, I. (eds) Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. Lecture Notes in Computer Science(), vol 14947. Springer, Cham. https://doi.org/10.1007/978-3-031-70368-3_26

• Tom Röhr, Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Keno Bressem, Wolfgang Nejdl, and Alexander Löser. 2024. Revisiting Clinical Outcome Prediction for MIMIC-IV. In Proceedings of the 6th Clinical Natural Language Processing Workshop, pages 208–217, Mexico City, Mexico. Association for Computational Linguistics.

• Paul Grundmann, Jens-Michalis Papaioannou, Tom Oberhauser, Thomas Steffek, Amy Siu, Wolfgang Nejdl, and Alexander Loeser. 2024. Data Drift in Clinical Outcome Prediction from Admission Notes. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 4381–4391, Torino, Italia. ELRA and ICCL.

• Benjamin Winter, Alexei Gustavo Figueroa Rosero, Alexander Löser, Felix Alexander Gers, Nancy Katerina Figueroa Rosero, and Ralf Krestel. 2024. DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 4438–4448, Torino, Italia. ELRA and ICCL.

• L Adams, F Busch, T Han, JB Excoffier, M Ortala, A Löser, H Aerts, JN Kather, D Truhn, K Bressem: LongHealth: A Question Answering Benchmark with Long Clinical Documents. arXiv preprint arXiv:2401.14490, 2024.

• KK Bressem, JM Papaioannou, P Grundmann, F Borchert, LC Adams, L Liu, F Busch, L Xu, JP Loyen, SM Niehues, M Augustin, L Grosser, MR Makowski, H Aerts, A Löser: Medbert. de: A comprehensive german bert model for the medical domain. In: Expert Systems with Applications (237), Pergamon 2024.

• Jäger, S.; Biessmann, F.. (2024). From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, in: Proceedings of Machine Learning Research, 238:3394-3402.

• Chiaburu, T., Haußer, F., Bießmann, F. (2024). CoProNN: Concept-Based Prototypical Nearest Neighbors for Explaining Vision Models. In: Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2153. Springer, Cham. https://doi.org/10.1007/978-3-031-63787-2_5

• Hoffmann, M. L., Ivana Nanevski, Maike Gossen, Jens Bergener, Alexander Flick, Tilman Santarius, & Felix Biessmann. (2024). Can Sustainable Shopping Recommendations in Online Retail Help Reduce Global Warming? Assessing the Direct and Indirect Climate Impact of Modern Software. Weizenbaum Journal of the Digital Society, 4(1). https://doi.org/10.34669/WI.WJDS/4.1.2

• Chiaburu, T.; Haußer, F.; Bießmann, F. Uncertainty in XAI: Human Perception and Modeling Approaches. Mach. Learn. Knowl. Extr. 2024, 6, 1170-1192. https://doi.org/10.3390/make6020055

• Kozcuer, C., Mollen, A. & Bießmann, F. Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems. Minds & Machines 34, 11 (2024). https://doi.org/10.1007/s11023-024-09663-3

• Zhaolan Huang, Adrien Tousnakhoff, Polina Kozyr, Roman Rehausen, Felix Bießmann, Robert Lachlan, Cedric Adjih, Emmanuel Baccelli: "TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors." IEEE International Symposium on the Internet of Sounds (2024).

• V Singh, T Ling, T Chiaburu, F Biessmann: Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation, Workshop on Public Interest AI at 47th German Conference on AI (KI 2024)

• TV Nguyen, J Hoster, A Glaser, K Hildebrand, F Biessmann: Generating Synthetic Satellite Imagery for Rare Objects: An Empirical Comparison of Models and Metrics, Workshop on Public Interest AI at 47th German Conference on AI (KI 2024)

• A Schwarz, L Hernadi, F Bießmann, K Hildebrand: The Influence of Faulty Labels in Data Sets on Human Pose Estimation. arXiv preprint arXiv:2409.03887, 2024

• T Chiaburu, F Haußer, F Bießmann: Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty. arXiv preprint arXiv:2409.17157, 2024

2023

• Marco Kurzweg, Maximilian Letter, and Katrin Wolf. 2023. Vibrollusion: Creating a Vibrotactile Illusion Induced by Audiovisual Touch Feedback. In International Conference on Mobile and Ubiquitous Multimedia (MUM ’23), December 3–6, 2023, Vienna, Austria. ACM, New York, NY, USA, 21 pages. https://doi.org/10.1145/3626705.3627790

• Juan F. Olaya-Figueroa, Ferdinand Streicher, Marco Kurzweg, Jan Willms, and Katrin Wolf. 2023. HapticCollider: Ungrounded Force Feedback for Rigid Collisions during Virtual Tool Use. In Proceedings of Mensch und Computer 2023 (MuC ’23). Association for Computing Machinery, New York, NY, USA, 116–126. doi.org/10.1145/3603555.3603568. HONOURABLE MENTION

• Marco Kurzweg, Simon Linke, Yannick Weiss, Maximilian Letter, Albrecht Schmidt, and Katrin Wolf. 2023. Assignment of a Vibration to a Graphical Object Induced by Resonant Frequency. In Proceesings of INTERACT 2023 is the 19th International Conference promoted by the IFIP Technical Committee 13 on Human–Computer Interaction

• Maximilian Letter, Ceenu George, and Katrin Wolf. 2023. A Survey of Computer-Supported Remote Collaboration on Physical Objects. In Proceesings of INTERACT 2023 is the 19th International Conference promoted by the IFIP Technical Committee 13 on Human–Computer Interaction

• Maximilian Letter, Marco Kurzweg, and Katrin Wolf. 2023. Comparing Screen-based Version
  Control to Augmented Artifact Version Control for Physical Objects. In Proceesings of INTERACT 2023 is the 19th International Conference promoted by the IFIP Technical Committee 13 on Human–Computer Interaction

• Marco Kurzweg, Maximilian Letter, and Katrin Wolf. 2023. Increasing Realism of Displayed Vibrating AR Objects through Edge Blurring. In Proceedings of Mensch und Computer 2023 (MuC ’23). Association for Computing Machinery, New York, NY, USA, 16–26. https://doi.org/10.1145/3603555.3603570

• Jan Willms, Maximilian Letter, Emile Marchandise, and Katrin Wolf. 2023. Pull Outperforms Push as Vibrotactile Wristband Feedback for Mid-Air Gesture Guidance. In Proceedings of Mensch und Computer 2023 (MuC ’23). Association for Computing Machinery, New York, NY, USA, 138–148. https://doi.org/10.1145/3603555.3603579

• Kai Kunze, Pattie Maes, Florian Floyd’ Mueller, and Katrin Wolf (Editors). Cognitive Augmentation. Dagstuhl Reports, 2023, Vol. 12, Issue 12, pp. 1–26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany, DOI: 10.4230/DagRep.12.12.1

• Kathrin Seibert, Dominik Domhoff, Daniel Fürstenau, Felix Biessmann, Matthias Schulte-Althoff, Karin Wolf-Ostermann: Exploring needs and challenges for AI in nursing care – results of an explorative sequential mixed methods study. BMC Digit Health 1, 13 (2023). doi.org/10.1186/s44247-023-00015-2

• Martin Tschaikner, Danja Brandt, Henning Schmidt, Felix Bießmann, Teodor Chiaburu, Ilona Schrimpf, Thomas Schrimpf, Alexandra Stadel, Frank Haußer, Ingeborg Beckers, "Multisensor data fusion for automatized insect monitoring (KInsecta)," Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 1272702 (17 October 2023); doi.org/10.1117/12.2679927

• Felix Biessmann, Bhaskar Kamble, Rita Streblow: An Automated Machine Learning Approach towards Energy Saving Estimates in Public Buildings, in: Energies 2023, 16, 6799. doi.org/10.3390/en16196799

• Jens Bergener, Maike Gossen, Marja Lena Hoffmann, Felix Bießmann, Marek Veneny, Ruben Korenke: Evaluating the Quality of ChatGPT’s Climate-related Responses, in: Ökologisches Wirtschaften-Fachzeitschrift, 38 (3), 46-50, 2023

• Georg L Baumgärtner, Charlie A Hamm, Sophia Schulze-Weddige, Richard Ruppel, Nick L Beetz, Madhuri Rudolph, Franziska Dräger, Konrad P Froböse, Helena Posch, Julian Lenk, Felix Biessmann, Tobias Penzkofer: Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRI, European Journal of Radiology, vol. 166, 2023

• Dominik Domhoff, Kathrin Seibert, Lea Bergmann, Sarah Theune, Felix Bießmann, Daniel Fürstenau, Matthias Schulte-Althoff, Karin Wolf-Ostermann: Forschungs-und Entwicklungsprojekte in der Pflege erfolgreich planen und umsetzen–Voraussetzungen und Gelingensbedingungen am Beispiel des Einsatzes von künstlicher Intelligenz, in: In: Krick, T., Zerth, J., Rothgang, H., Klawunn, R., Walzer, S., Kley, T. (eds): Pflegeinnovationen in der Praxis. Springer Gabler, Wiesbaden 2023

• Teodor Chiaburu, Felix Biessmann: Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows, at: International Conference on Industry Sciences and Computer Sciences Innovation (iSCSi), 2023

• Charlie A Hamm, Georg L Baumgärtner, Felix Biessmann, Nick L Beetz, Alexander Hartenstein, Lynn J Savic, Konrad Froböse, Franziska Dräger, Simon Schallenberg, Madhuri Rudolph, Alexander DJ Baur, Bernd Hamm, Matthias Haas, Sebastian Hofbauer, Hannes Cash, Tobias Penzkofer: Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI, In: Radiology, 2023

• AS Karakaya, T Ritter, F Biessmann, D Bermbach: CycleSense: Detecting near miss incidents in bicycle traffic from mobile motion sensors. In: Pervasive and Mobile Computing 91, 101779, 2023
• Alexander Flick, Sebastian Jäger, Ivana Trajanovska, Felix Biessmann: Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data. In: Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023 
• Thereza Schmelter, Lucie Kruse, Sukran Karaosmanoglu, Sebastian Rings, Frank Steinicke, Kristian Hildebrand: Towards More Inclusive and Accessible Virtual Reality: Conducting Large-scale Studies in the Wild. CHI Extended Abstracts 2023: 476:1-476:5
• Johannes Hoster, Dennis Ritter, Kristian Hildebrand: Style-aware Augmented Virtuality Embeddings (SAVE).  IEEE Conference on Virtual Reality and 3D User Interfaces (2023)
• Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan Markus Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser: MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain. CoRR abs/2303.08179 (2023)
• Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexander Löser, Daniel Truhn, Keno K. Bressem: MedAlpaca - An Open-Source Collection of Medical Conversational AI Models and Training Data. CoRR abs/2304.08247 (2023)
• Wagner, K., Volkenig, H., Basyigit, S., Merceron, A., Sauer, P., Pinkwart, N.: Which Approach best Predicts Dropouts in Higher Education? In Proceedings of the 15th International Conference on Computer Science and Education  CSEDU. SciTePress, pages 15-26. Prague, Czech Republik, April 2023.
• Wagner, K., S., Merceron, A., Sauer, P., Pinkwart, N.: Can the Paths of Successful Students Help Other Students With Their Course Enrollments? (Long Paper), Best Paper Nominee, In Proceedings of the 16th International Conference on Educational Data Mining EDM 2023. Bengaluru, India, July 2023.
• Ng SC, Biswas A, Huyton T, Schünemann J, Reber S & Görlich D (2023) Barrier-properties of Nup98 FG phases ruled by FG motif identity and inter-FG spacer length. Nature Communications 14, 747 (2023).
• Kai Kunze, Pattie Maes, Florian Floyd’ Mueller, and Katrin Wolf (Editors). Cognitive Augmentation, Dagstuhl Reports, 2023, Vol. 12, Issue 12, pp. 1–26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany
• Danja Brandt and Martin Tschaikner, Teodor Chiaburu, Henning Schmidt, Ilona Schrimpf, Alexandra Stadel and Ingeborg E. Beckers, Frank Haußer, Low Cost Machine Vision for Insect Classification, Springer International Publishing, Intelligent Systems and Applications. IntelliSys (2023) accepted.

2022

• The Handbook of Learning Analytics Charles Lang, George Siemens, Alyssa Friend Wise, Dragan Gašević, Agathe Merceron (Eds), 2022, ISBN: 978-0-9952408-3-4. DOI: 10.18608/hla22.
• What is Learning Analytics, Charles Lang, Alyssa Friend Wise, Agathe Merceron, Dragan Gašević, & George Siemens. In: The Handbook of Learning Analytics, Charles Lang, George Siemens, Alyssa Friend Wise, Agathe Merceron, Dragan Gašević, & Agathe Merceron (Eds.), 2022, p. 8-18, ISBN: 978-0-9952408-3-
• Erdelt & Jestel (2022). DBMS-Benchmarker: Benchmark and Evaluate DBMS in Python. Journal of Open Source Software, 7(79), 4628, doi.org/10.21105/joss.04628
• Paul Grundmann, Tom Oberhauser, Felix Gers, Alexander Löser: Attention Networks for Augmenting Clinical Text with Support Sets for Diagnosis Prediction. COLING 2022: 4765-4775
• Benjamin Winter, Alexei Figueroa, Amy Siu, Felix Gers, Alexander Löser: KIMERA: Injecting Domain Knowledge into Vacant Transformer Heads. LREC 2022: 363-373
• Jens-Michalis Papaioannou, Paul Grundmann, Betty van Aken, Athanasios Samaras, Ilias Kyparissidis, George Giannakoulas, Felix A. Gers, Alexander Löser: Cross-Lingual Knowledge Transfer for Clinical Phenotyping.LREC 2022: 900-909
• Personalized and Explainable Course Recommendations for Students at Risk of Dropping out.
  Wagner, K., Merceron, A., Sauer, P., Pinkwart, N. Proceedings of the 15th International Conference on Educational Data Mining, p. 657-661. Durham, United Kingdom, July 2022.
• Hans-Georg Reimer, Felix Gers, Steffen Prowe (2022): Is Game-based Learning as a Computer Game a Benefit for Teaching?. In: Uckelmann u.a. (Eds.): Online-Labs in Education, Proceedings of the 1^st International Conference on Online-Labs in Education. Baden-Baden: Nomos, 485-489.
• Betty van Aken, Jens-Michalis Papaioannou, Marcel Ganesh Naik, Georgios Eleftheriadis, Wolfgang Nejdl, Felix A. Gers, Alexander Löser: This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text.AACL/IJCNLP (1) 2022: 172-184
• Jens-Michalis Papaioannou, Paul Grundmann, Betty van Aken, Athanasios Samaras, Ilias Kyparissidis, George Giannakoulas, Felix A. Gers, Alexander Löser: Cross-Lingual Knowledge Transfer for Clinical Phenotyping. CoRR abs/2208.01912 (2022)
• Betty van Aken, Jens-Michalis Papaioannou, Marcel Ganesh Naik, Georgios Eleftheriadis, Wolfgang Nejdl, Felix A. Gers, Alexander Löser: This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text. CoRR abs/2210.08500 (2022)
• Florian 'Floyd' Mueller, Nathan Arthur Semertzidis, Josh Andres, Martin Weigel, Suranga Nanayakkara, Rakesh Patibanda, Zhuying Li, Paul Strohmeier, Jarrod Knibbe, Stefan Greuter, Marianna Obrist, Pattie Maes, Dakuo Wang, Katrin Wolf, Liz Gerber, Joe Marshall, Kai Kunze, Jonathan Grudin, Harald Reiterer, Richard Byrne: Human-Computer Integration: Towards Integrating the Human Body with the Computational Machine. Found. Trends Hum. Comput. Interact. 16(1): 1-64 (2022)
• Marco Kurzweg, Katrin Wolf: Body Language of Avatars in VR Meetings as Communication Status Cue: Recommendations for Interaction Design and Implementation. i-com 21(1): 175-201 (2022)
• Anna E. M. Wolf, Jens Reinhardt, Marco Kurzweg, Katrin Wolf: SocialSlider: Changing the Transparency of Avatars. AHs 2022: 276-283
• Katrin Wolf, Marco Kurzweg, Yannick Weiss, Stephen A. Brewster, Albrecht Schmidt: Visuo-Haptic Interaction. AVI 2022: 89:1-89:4
• Maximilian Letter, Katrin Wolf: Tangible Version Control: Exploring a Physical Object's Alternative Versions. CHI Extended Abstracts 2022: 427:1-427:7
• Felix Biessmann: Changes in Policy Preferences in German Tweets During the COVID Pandemic. SocInfo 2022: 426-435
• Jacek Golebiowski, Felice Antonio Merra, Ziawasch Abedjan, Felix Biessmann: Search Filter Ranking with Language-Aware Label Embeddings. WWW (Companion Volume) 2022: 121-125
• Ahmet-Serdar Karakaya, Thomas Ritter, Felix Biessmann, David Bermbach: CycleSense: Detecting Near Miss Incidents in Bicycle Traffic from Mobile Motion Sensors. CoRR abs/2204.10416 (2022)
• Sebastian Jäger, Jessica Greene, Max Jakob, Ruben Korenke, Tilman Santarius, Felix Biessmann: GreenDB: Toward a Product-by-Product Sustainability Database. CoRRabs/2205.02908 (2022)
• Teodor Chiaburu, Felix Biessmann, Frank Haußer: Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations. CoRR abs/2206.07497 (2022)
• Alexander Flick, Sebastian Jäger, Jessica Adriana Sanchez Garcia, Kaspar von den Driesch, Karl Brendel, Felix Biessmann: GreenDB - A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods. CoRR abs/2207.10733 (2022)
• Josef Kauer-Bonin, Sunil Kumar Yadav, Ingeborg E. Beckers, Kay Gawlik, Seyedamirhosein Motamedi, Hanna Gwendolyn Zimmermann, Ella Maria Kadas, Frank Haußer, Friedemann Paul, Alexander Ulrich Brandt: Modular deep neural networks for automatic quality control of retinal optical coherence tomography scans. Comput. Biol. Medicine141: 104822 (2022)
• Tabea Kossen, Manuel A. Hirzel, Vince I. Madai, Franziska Boenisch, Anja Hennemuth, Kristian Hildebrand, Sebastian Pokutta, Kartikey Sharma, Adam Hilbert, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey: Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks.Frontiers Artif. Intell. 5: 813842 (2022)
• Pooja Subramaniam, Tabea Kossen, Kerstin Ritter, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey, Vince I. Madai: Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks. Medical Image Anal. 78: 102396 (2022)
• Kletter, Tobias & Biswas, Abin & Reber, Simone. (2022). Engineering metaphase spindles: Construction site and building blocks. Current Opinion in Cell Biology. 79. 102143.10.1016/j.ceb.2022.102143.
• Amini, Shahrouz & Zhu, Tingting & Biswas, Abin & Charsooghi, Mohammad & Kim, Kyoohyun & Reber, Simone & Dauphin, Yannicke & Fratzl, Peter. (2022). Calcitic prisms of the giant seashell Pinna nobilis form light guide arrays. 10.1101/2022.10.25.513698.
• Ng, Sheung & Biswas, Abin & Huyton, Trevor & Schünemann, Jürgen & Reber, Simone & Görlich, Dirk. (2022). Barrier-properties of Nup98 FG phases ruled by FG motif identity and inter-FG spacer length. 10.1101/2022.10.14.512266.
• Kim, Kyoohyun & Biswas, Abin & Cárdenas, Omar & Reber, Simone & Zaburdaev, Vasily & Guck, Jochen. (2022). Optical diffraction tomography for studying the mass density difference between nucleus and cytoplasm. 42. 10.1117/12.2608692.
• Hirst, William & Fachet, Dominik & Kuropka, Benno & Weise, Christoph & Saliba, Kevin & Reber, Simone. (2022). Purification of functional Plasmodium falciparum tubulin allows for the identification of parasite-specific microtubule inhibitors. Current Biology. 32. 10.1016/j.cub.2021.12.049. 
• Baskan, Denis and Erdelt, Patrick, Neighborhood-Based Loss Functions for Explainability of Autoencoders (2022). SSRN: https://ssrn.com/abstract=4212995 or http://dx.doi.org/10.2139/ssrn.4212995https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4212995

2021

• Using Body Language of Avatars in VR Meetings as Communication Status Cue
  M Kurzweg, J Reinhardt, W Nabok, K Wolf. Mensch und Computer 2021, 366-377
• Placement of Teleported Co-users in AR
  Jens Reinhardt, Marco Kurzweg, Katrin Wolf. 2021/8/30. IFIP Conference on Human-Computer Interaction, 590-610. Springer, Cham
• Virtual Physical Task Training: Comparing Shared Body, Shared View and Verbal Task Explanation
  Jens Reinhardt, Marco Kurzweg, Katrin Wolf. 2021/2/22. Augmented Humans Conference 2021, 157-168
• Findings of the wmt 2021 biomedical translation shared task: Summaries of animal experiments as new test set
  Lana Yeganova, Dina Wiemann, Mariana Neves, Federica Vezzani, Amy Siu, Iñigo Unanue, Maite Oronoz, Nancy Mah, Aurélie Névéol, David Martinez, Rachel Bawden, Giorgio Di Maria Di Nunzo, Roland Roller, Philippe Thomas, Cristian Grozea, Olatz Perez de Viñaspre, Maria Vicente Navarro, Antonio Yepes. 2021/11/10. Sixth Conference on Machine Translation.
• KIMERA: Injecting Domain Knowledge into Vacant Transformer Heads
  Benjamin Winter, Alexei Figueroa, Alexander Löser, Felix Alexander Gers, Amy Siu. 2021/9/29
• Assertion Detection in Clinical Notes: Medical Language Models to the Rescue?
  Betty van Aken, Ivana Trajanovska, Amy Siu, Manuel Mayrdorfer, Klemens Budde, Alexander Löser. 2021/6. Proceedings of the Second Workshop on Natural Language Processing for Medical Conversations, 35-40
• Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling
  Tobias Kletter, Sebastian Reusch, Tommaso Cavazza, Nils Dempewolf, Christian Tischer, Simone Reber. 2021/11/17. Journal of Cell Biology, Band 221, Ausgabe 1
  Rockefeller University Press
• Predicting disordered regions driving phase separation of proteins under variable salt concentration
  Esteban Meca, Anatol W Fritsch, Juan M Iglesias–Artola, Simone Reber, Barbara Wagner. 2021
• Gamification in Mixed-Reality Exergames for Older Adult Patients in a Mobile Immersive Diagnostic Center: A Pilot Study in the BewARe Project
  Ilona Buchem, Susan Vorwerg, Oskar Stamm, Kristian Hildebrand, Yvonne Bialek. 2021/5/17. 2021 7th International Conference of the Immersive Learning Research Network (iLRN), 1-8
  IEEE
• Pose-Guided Sign Language Video GAN with Dynamic Lambda
  Christopher Kissel, Christopher Kümmel, Dennis Ritter, Kristian Hildebrand. 2021/5/6. arXiv:2105.02742
• Interaction Based Redirected Walking
  Thereza Schmelter, Levente Hernadi, Marc Aurel Störmer, Frank Steinicke, Kristian Hildebrand. 2021/4/28. Proceedings of the ACM on Computer Graphics and Interactive Techniques, Band 4, Ausgabe 1, 1-16. ACM
• Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks
  Tabea Kossen, Pooja Subramaniam, Vince I Madai, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A Khalil, Jochen B Fiebach, Dietmar Frey. 2021/4/1. Computers in Biology and Medicine, Band 131. Pergamon
• Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration.
  Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, Klemens Budde, Felix A. Gers, Alexander Löser. 2021/4. EACL 2021: 881-893
• Orchestrating DBMS Benchmarking in the Cloud with Kubernetes
  Patrick K Erdelt. 2021/8/16. Technology Conference on Performance Evaluation and Benchmarking, 81-97
• JENGA-A Framework to Study the Impact of Data Errors on the Predictions of Machine Learning Models
  Sebastian Schelter, Tammo Rukat, Felix Biessmann. 2021. 24th International Conference on Extending Database Technology (EDBT)
• A benchmark for data imputation methods
  Sebastian Jäger, Arndt Allhorn, Felix Bießmann. 2021. Zeitschrift: Frontiers in big Data. S. 48
• Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization
  Pallavi Mitra, Felix Biessmann. 2021. ECML/PKDD Workshop on Automating Data Science (AutoDS 2021)
• An Interactive Garment for Orchestra Conducting: IoT-enabled Textile & Machine Learning to Direct Musical Performance
  Berit Greinke, Giorgia Petri, Pauline Vierne, Paul Biessmann, Alexandra Börner, Kaspar Schleiser, Emmanuel Baccelli, Claas Krause, Christopher Verworner, Felix Biessmann. 2021/2/14. Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction. S. 1-6
• Verifying item attributes using artificial intelligence
  Felix Biessmann, Cédric Philippe Charles Jean Ghislain Archambeau, Charles Shearer Dorner, Karl Anders Gyllstrom, Robert Yuji Haitani, Aengus Gabriel Martin. 2021/3/9. Patentamt: US
  Patentnummer: 10942967. Anmeldenummer: 15851519
• Konzept zur Einbettung von KI-Systemen in der Pflege: Sondierungsprojekt zu KI in der Pflege (SoKIP)
  Karin Wolf-Ostermann, Daniel Fürstenau, Sarah Theune, Lea Bergmann, Felix Biessmann, Dominik Domhoff, Matthias Schulte-Althoff, Kathrin Seibert. 2021/3/16. Universität Bremen
• Automated data validation in machine learning systems
  Felix Biessmann, Jacek Golebiowski, Tammo Rukat, Dustin Lange, Philipp Schmidt. 2021/4. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering
• Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study
  Felix Neutatz, Felix Biessmann, Ziawasch Abedjan. 2021/6. Proceedings of the 2021 ACM SIGMOD International Conference on Management of Data
• A Turing Test for Transparency
  Felix Biessmann, Viktor Treu. 2021/6/21. Proceedings of the ICML Workshop on Theoretical Foundations, Criticism, and Application Trends of Explainable AI held in conjunction with the 38th International Conference on Machine Learning (ICML)
• Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated
  Felix Biessmann, Dionysius Refiano. 2021/7/1. Proceedings of the ICML Workshop on Theoretical Foundations, Criticism, and Application Trends of Explainable AI held in conjunction with the 38th International Conference on Machine Learning (ICML)
• Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review
  Kathrin Seibert, Dominik Domhoff, Dominik Bruch, Matthias Schulte-Althoff, Daniel Fürstenau, Felix Biessmann, Karin Wolf-Ostermann. 2021/11/29. Journal of medical Internet research, Band 23, Ausgabe 11. JMIR Publications Inc., Toronto, Canada
• More Than Words: Towards Better Quality Interpretations of Text Classifiers
  Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini, Cédric Archambeau, Felix Biessmann, Sanjiv Ranjan Das, Krishnaram Kenthapadi. 2021/12. arXiv e-prints
• Modular deep neural networks for automatic quality control of retinal optical coherence tomography scans
  Josef Kauer-Bonin, Sunil K Yadav, Ingeborg Beckers, Kay Gawlik, Seyedamirhosein Motamedi, Hanna G Zimmermann, Ella M Kadas, Frank Haußer, Friedemann Paul, Alexander U Brandt. 2021/9/20. Computers in Biology and Medicine. Pergamon
• NAD (P) H Fluorescence Lifetime Imaging of Live Intestinal Nematodes Reveals Metabolic Crosstalk Between Parasite and Host
  Wjatscheslaw Liublin, Sebastian Rausch, Ruth Leben, Juliane Liebeskind, Anja E Hauser, Susanne Hartmann, Raluca A Niesner, Ingeborg Beckers. 2021/9/17
• Microdialysis on Ex Vivo Porcine Ear Skin Can Validly Study Dermal Penetration including the Fraction of Transfollicular Penetration—Demonstrated on Caffeine Nanocrystals
  Anna Lena Klein, Markus Lubda, David Specht, Sung-Min Pyo, Loris Busch, Jürgen Lademann, Martina C Meinke, Ingeborg Beckers, Jörg von Hagen, Cornelia M Keck, Alexa Patzelt. 2021/9. Nanomaterials, Band 11, Ausgabe 9. Multidisciplinary Digital Publishing Institute
• What Do You See in this Patient? Behavioral Testing of Clinical NLP Models
  Betty van Aken, Sebastian Herrmann, Alexander Löser. 2021/11/30
• 2.1 Kommerzielle Datenmärkte
  Gottfried Vossen, Alexander Löser. 2021/1/18. Forschungsdaten-management
• Hirst W, Fachet D, Kuropka B, Weise C, Saliba K and Reber S. (2021) Purification of functional Plasmodium falciparum tubulin allows for the identification of parasite-specific microtubule inhibitors. bioRxiv/2021/445550; doi:https://doi.org/10.1101/2021.05.25.445550
• Janneck,  Merceron, A., Sauer, P.: DiSEA: Analysing Success and Dropout in Online-Degrees, Companion Proceedings of the 11th Learning Analytics and Knowledge Conference (LAK’21), p. 261-269. Workshop on Addressing Dropout Rates in Higher Education, Online - Everywhere, 2021.
• Wagner, K., Hilliger, I., Merceron, A., Sauer, P.: Eliciting Students Needs and Concerns about a Novel Course Enrollment Support System, Companion Proceedings of the 11th Learning Analytics and Knowledge Conference (LAK’21), p. 294-304. Workshop on Addressing Dropout Rates in Higher Education, Online - Everywhere, 2021.
• Novoseltseva, D., Wagner, K., Merceron, A., Sauer, P., Jessel, N., Sedes, F.:Wagner, K., Hilliger, I., Merceron, A., Sauer, P.: Investigating the Impact of Outliers on Dropout Prediction in Higher Education, Proceedings of the Delfi Workshops 2021 at the 19th e-Learning Conference of the German Society for Computer Science, Dortmund-Online, Germany, September 13, 2021,  p. 120-129.
• Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, Klemens Budde, Felix Gers, Alexander Löser: Self-Supervised Knowledge Integration for Clinical Outcome Prediction from Admission Notes, EACL 2021
• Kletter T, Reusch S, Dempenwolf N, Tischer C and Reber S (2021). Volumetric morphometry reveals mitotic spindle width as the best predictor of spindle scaling. bioRxiv 04.08.438956; doi: https://doi.org/10.1101/2021.04.08.438956.
• Biswas A, Kim K, Cojoc G, Guck J and Reber S (2021). The Xenopus spindle is as dense as the surrounding cytoplasm. Developmental Cell 56, 1-5.
  *Preview in Developmental Cell by Masahito Tanaka and Yuta Shimamoto “Local body weight measurement of the spindle” Dev Cell. 2021 Apr 5;56(7): 871-872. doi: 10.1016/j.devcel.2021.03.019.
• Jens-Michalis Papaioannou, Manuel Mayrdorfer, Sebastian Arnold, Felix A. Gers, Klemens Budde and Alexander Löser: Aspect-based Passage Retrieval with Contextualized Discourse Vectors, Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021)

2020

• Learning contextualized document representations for healthcare answer retrieval
  Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A Gers, Alexander Löser. 2020/4/20. Proceedings of The Web Conference 2020, 1332-1343
• TrainX–Named Entity Linking with Active Sampling and Bi-Encoders
  Tom Oberhauser, Tim Bischoff, Karl Brendel, Maluna Menke, Tobias Klatt, Amy Siu, Felix Alexander Gers, Alexander Löser. 2020/12. Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations, 64-69
• Solvent-containing closure material can be used to prevent follicular penetration of caffeine and fluorescein sodium salt on porcine ear skin
  Anna Lena Klein, Markus Lubda, Paniz Akbarzadeh Taghavi, Jürgen Lademann, Ingeborg Beckers, Jörg von Hagen, Harald Kolmar, Alexa Patzelt. 2020. Skin Pharmacology and Physiology, Band 33, Ausgabe 2, 117-126. Karger Publishers
• Investigation of transfollicular caffeine penetration using microdialysis on ex vivo porcine ear skin
  Anna Lena Klein, Markus Lubda, Per Stahl Skov, Annika Vogt, Cornelia M Keck, Jürgen Lademann, Ingeborg Beckers, Jörg von Hagen, Alexa Patzelt. 2020/12/1. European Journal of Pharmaceutics and Biopharmaceutics, Band 157, 1-8. Elsevier
• Transparency and trust in artificial intelligence systems
  Philipp Schmidt, Felix Biessmann, Timm Teubner. 2020/10/1. Journal of Decision Systems, Band 29, Ausgabe 4. Seiten: 260-278. Verlag: Taylor & Francis
• Inter-subject correlations during natural viewing: A filter-bank approach
  Arslan Gait, Vladimir Duisenbinov, Min-Ho Lee, Felix Bießmann, Siamac Fazli. 2020/7/20. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 200-203. IEEE
• Learning to validate the predictions of black box classifiers on unseen data
  Sebastian Schelter, Tammo Rukat, Felix Biessmann. 2020/6/11. Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. S. 1289-1299
• Sensor Artificial Intelligence and its Application to Space Systems--A White Paper
  Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Biessmann, Anna Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger. 2020/6/9. arXiv preprint arXiv:2006.08368
• A rapid review on application scenarios for artificial intelligence in nursing care
  Kathrin Seibert, Dominik Domhoff, Dominik Bruch, Matthias Schulte-Althoff, Daniel Fürstenau, Felix Biessmann, Karin Wolf-Ostermann. 2020. Zeitschrift: JMIR Preprints, Band 16, Ausgabe 16. S. 2020
• Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias
  Philipp Schmidt, Felix Biessmann. 2020. Proceedings of the 2020 Cross Domain Conference for Machine Learning and Knowledge Extraction
• Towards Automated Data Quality Management for Machine Learning
  Tammo Rukat, Dustin Lange, Sebastian Schelter, Felix Biessmann. 2020. ML Ops workshop at the Conference on Machine Learning and Systems (MLSys)
• A framework for supporting repetition and evaluation in the process of cloud-based dbms performance benchmarking
  Patrick K Erdelt. 2020/8/31. Technology Conference on Performance Evaluation and Benchmarking, 75-92. Springer, Cham
• Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
  Tabea Kossen, Pooja Subramaniam, Vince I. Madai, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey. 2020. arXiv:2009.04227
• BewARe–Wearable-and Augmented-Reality-Enhanced Movement and Mobility Training for Promoting Health and Wellbeing of Senior Patients.
  Ilona Buchem, Christopher Kümmel, Dennis Ritter, Kristian Hildebrand, Yvonne Bialek. 2020
• Analysis of interaction spaces for vr in public transport systems
  Thereza Schmelter, Kristian Hildebrand. 2020/3/22. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 279-280. IEEE
• Accuracy of a cross-program model for dropout prediction in higher education
  Kerstin Wagner, Agathe Merceron, Petra Sauer. 2020. Companion Proceedings of the 10th International Learning Analytics & Knowledge Conference (LAK 2020), 744-749
• Building Confidence in Learning Analytics Solutions: Two Complementary Pilot Studies
  Armelle Brun, Benjamin Gras, Agathe Merceron. 2020. Adoption of Data Analytics in Higher Education Learning and Teaching, 285-303. Springer, Cham
• Erste Untersuchungen zur Notenprognose für ein Kursempfehlungssystem
  Kerstin Wagner, Agathe Merceron, Petra Sauer. 2020. Proceedings of DELFI Workshops 2020. Gesellschaft für Informatik eVz
• Initial Investigations of Grade Predictions for a Course Recommender System
  Kerstin Wagner, Agathe Merceron, Petra Sauer. 2020/9. DELFI 2020 - Learning Analytics Workshop
• Affinity purification of label-free tubulins from Xenopus egg extracts
  Sebastian Reusch, Abin Biswas, William Graham Hirst, Simone Reber. 2020/12/18. Star Protocols, Band1, Ausgabe 3. Elsevier
• In vitro reconstitution and imaging of microtubule dynamics by fluorescence and label-free microscopy
  William Graham Hirst, Christine Kiefer, Mohammad Kazem Abdosamadi, Erik Schäffer, Simone Reber. 2020/12/18. STAR protocols, Band 1, Ausgabe 3. Elsevier
• Findings of the WMT 2020 biomedical translation shared task: Basque, Italian and Russian as new additional languages
  Rachel Bawden, Giorgio Di Nunzio, Cristian Grozea, Iñigo Unanue, Antonio Yepes, Nancy Mah, David Martinez, Aurélie Névéol, Mariana Neves, Maite Oronoz, Olatz Perez De Viñaspre, Massimo Piccardi, Roland Roller, Amy Siu, Philippe Thomas, Federica Vezzani, Maika Navarro, Dina Wiemann, Lana Yeganova. 2020. 5th conference on machine translation
• HCI Lecture-Material for Teaching Human-Computer Interaction
  Niels Henze, Martin Kocur, Albrecht Schmidt, Valentin Schwind, Katrin Wolf. 2020
• Embedding Conversational Agents into AR: Invisible or with a Realistic Human Body?
  Jens Reinhardt, Luca Hillen, Katrin Wolf. 2020/2/9. Proceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction, 299-310
• Accelerating Skill Acquisition of Two-Handed Drumming using Pneumatic Artificial Muscles
  Takashi Goto, Swagata Das, Katrin Wolf, Pedro Lopes, Yuichi Kurita, Kai Kunze. 2020/3/16. Proceedings of the Augmented Humans International Conference, 1-9
• Go-Through: Disabling Collision to Access Obstructed Paths and Open Occluded Views in Social VR
  Jens Reinhardt, Katrin Wolf. 2020/3/16. Proceedings of the Augmented Humans International Conference, 1-10
• Next steps for human-computer integration
  Florian Floyd Mueller, Pedro Lopes, Paul Strohmeier, Wendy Ju, Caitlyn Seim, Martin Weigel, Suranga Nanayakkara, Marianna Obrist, Zhuying Li, Joseph Delfa, Jun Nishida, Elizabeth M Gerber, Dag Svanaes, Jonathan Grudin, Stefan Greuter, Kai Kunze, Thomas Erickson, Steven Greenspan, Masahiko Inami, Joe Marshall, Harald Reiterer, Katrin Wolf, Jochen Meyer, Thecla Schiphorst, Dakuo Wang, Pattie Maes. 2020/4/21. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-15
• Improving humans' ability to interpret deictic gestures in virtual reality
  Sven Mayer, Jens Reinhardt, Robin Schweigert, Brighten Jelke, Valentin Schwind, Katrin Wolf, Niels Henze. 2020/4/21. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-14
• Apical root resorption after orthodontic treatment in patients with unilateral cleft lip and palate
  Theodosia N Bartzela, Maria R Mang de la Rosa, Kristina Wolf, Anke Schmidt, Charlotte Opitz. 2020/5. Clinical Oral Investigations, Band 24, Ausgabe 5, 1807-1819. Springer Berlin Heidelberg
• Preparing an Online Lecture That We Wouldn't Hate to Attend.
  Niels Henze, Valentin Schwind, Katrin Wolf, Martin Kocur, Albrecht Schmidt, Andrew L Kun. 2020/7/1. IEEE Pervasive Comput. Band 19, Ausgabe 3, 51-55
• New Digital Realities–Blending our Reality with Virtuality
  Frank Steinicke, Katrin Wolf. 2020/8/1. i-com, Band 19, Ausgabe 2, 61-65. De Gruyter Oldenbourg
• Design sensibilities-designing for cultural sensitivity
  Jonna Häkkilä, Mikael Wiberg, Nils Johan Eira, Tapio Seppänen, Ilkka Juuso, Maija Mäkikalli, Katrin Wolf. 2020/10/25. Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, 1-3
• PLAY ME! Influencing Game Decisions through Suggestions made by Augmented Characters
  Marco Kurzweg, Jens Reinhardt, Moritz Stoll, Julia Wirth, Katrin Wolf. 2020/11/22. 19th International Conference on Mobile and Ubiquitous Multimedia, 288-298
• Exploring Non-Urgent Smart Home Notifications using a Smart Plant System
  Alexandra Voit, Dominik Weber, Yomna Abdelrahman, Marie Salm, Paweł W Woźniak, Katrin Wolf, Stefan Schneegass, Niels Henze. 2020/11/22. 19th International Conference on Mobile and Ubiquitous Multimedia, 47-58
• Tom Oberhauser, Tim Bischoff, Karl Brendel, Maluna Menke, Tobias Klatt, Amy Siu, Felix Alexander Gers and Alexander Löser: TrainX – Named Entity Linking with Active Sampling and Bi-Encoders. COLING 2020 Demo Track
• Betty van Aken Benjamin Winter Winter Felix Gers Alexander Löser, VisBERT: Hidden-State Visualizations for Transformers. The Web Conference 2020
• Rudolf Schneider Tom Oberhauser Paul Grundmann Felix Alexander Gers Alexander Löser, Steffen Staab: Is Language Modeling Enough? Evaluating Effective Embedding Combinations. LREC 2020
• Konstantina Lazaridou Maria Rosario Mestre Alexander Löser Felix Naumann: Discovering Biased News Articles Leveraging Multiple Human Annotations" is on news media bias detection with crowd-sourcing and curriculum learning. LREC 2020
• Reusch S, Biswas A, and Reber S (2020). Affinity-Purification of Label-free Tubulins from Xenopus Egg Extracts. STAR Protocols 1, 100151.
• Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers, Alexander Löser: Learning Contexualized Document Representations for Heathcare Answer Retrieval, ACM WWW 2020
• Hirst WG, Kiefer C, Schaeffer E, and Reber S (2020). In vitro Reconstitution and Imaging of Microtubule Dynamics by TIRF and IR Microscopy. STAR Protocols 1, 100177.
• Hirst WG, Biswas A, Mahalingan KK & Reber S (2020). Differences in intrinsic tubulin dynamic properties contribute to spindle length control in Xenopus species. Current Biology, 30-11, 2184-2190.
  *Dispatch in Current Biology by Daniel L. Levy "Tubulin Contributes to Spindle Size Scaling” Current Biology, 30(11), pp.R637-R639. doi: 10.1016/j.cub.2020.04.017
• Granada AE, Jiménez A, Stewart-Ornstein J, Blüthgen N., Reber S, Jambhekar A & Lahav G (2020). The effects of proliferation status and cell cycle phase on the responses of single cells to chemotherapy. Mol Biol Cell, 31(8), 845-857.
• Sebastian Schelter, Tammo Rukat, Felix Biessmann: Learning to Validate the Predictions of Black Box Classifiers on Unseen Data ACM SIGMOD 2020

2019

• Reflexive Interaction: Extending the concept of Peripheral Interaction
  Denys JC Matthies, Bodo Urban, Katrin Wolf, Albrecht Schmidt. 2019/12/2. Proceedings of the 31st Australian Conference on Human-Computer-Interaction, 266-278
• Mensch und Computer 2019 in Hamburg
  Frank Steinicke, Katrin Wolf. 2019/12/1. i-com, Band 18, Ausgabe 3, 313-314. De Gruyter Oldenbourg
• The Effect of Camera Perspectives on Locomotion Accuracy in Virtual Reality
  Arbresh Ujkani, Jan Willms, Lezgin Turgut, Katrin Wolf. 2019/9/8. Proceedings of Mensch und Computer 2019, 835-838
• Haptic Illusion Glove: A Glove for Illusionary Touch Feedback when Grasping Virtual Objects
  Raoul Bickmann, Celine Tran, Ninja Ruesch, Katrin Wolf. 2019/9/8. Proceedings of Mensch und Computer 2019, 565-569
• Furniture CGI Presentation as 2D Renderings or Virtual Reality?
  Anna-Lena Spleet, Dennis Kahya, Sören Eckhardt, Nils Niercke, Katrin Wolf. 2019/9/8. Proceedings of Mensch und Computer 2019, 589-592
• ArmTouch: The Forearm as Touchpad for VR Control
  Kristin Reich, Elisabeth Jäger, Xuan Linh Do, Katrin Wolf. 2019/9/8. Proceedings of Mensch und Computer 2019, 897-899
• The effect of presence and appearance of guides in virtual reality exhibitions
  Rufat Rzayev, Gürkan Karaman, Katrin Wolf, Niels Henze, Valentin Schwind. 2019/9/8. Proceedings of Mensch Und Computer 2019, 11-20
• Biometric mirror: Exploring ethical opinions towards facial analysis and automated decision-making
  Niels Wouters, Ryan Kelly, Eduardo Velloso, Katrin Wolf, Hasan Shahid Ferdous, Joshua Newn, Zaher Joukhadar, Frank Vetere. 2019/6/18. Proceedings of the 2019 on Designing Interactive Systems Conference, 447-461
• Be the meeple: New perspectives on traditional board games
  Dorothé Smit, Bernhard Maurer, Martin Murer, Jens Reinhardt, Katrin Wolf. 2019/3/17. Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction, 695-698
• SpinalLog: Visuo-Haptic Feedback in Musculoskeletal Manipulation Training
  D Antony Chacon, Eduardo Velloso, Thuong Hoang, Katrin Wolf. 2019/3/17. Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction, 5-14
• Build your Own! Open-Source VR Shoes for Unity3D
  Jens Reinhardt, Eike Lewandowski, Katrin Wolf. 2019/3/11. Proceedings of the 10th Augmented Human International Conference 2019, 1-2
• Sentiment pen: Recognizing emotional context based on handwriting features
  Jiawen Han, George Chernyshov, Dingding Zheng, Peizhong Gao, Takuji Narumi, Katrin Wolf, Kai Kunze. 2019/3/11. Proceedings of the 10th Augmented Human International Conference 2019, 1-8
• Proceedings of the 10th Augmented Human International Conference 2019
  Katrin Wolf, Haimo Zhang, Redha Taiar, Jean-Marc Seigneur. 2019. ACM
• Gestaltungsrichtlinien für virtuelle Lernräume in der kulturellen Bildung
  Niels Henze, Jochen Koubek, Katrin Wolf, Moritz Puppel, Jens Reinhardt, Rufat Rzayev. 2019/7. Forschung zur Digitalisierung in der Kulturellen Bildung. Kulturelle Bildung und Digitalität, kopaed
• Findings of the WMT 2019 biomedical translation shared task: Evaluation for MEDLINE abstracts and biomedical terminologies
  Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, Antonio Jimeno Yepes, Madeleine Kittner, Martin Krallinger, Nancy Mah, Aurelie Neveol, Mariana Neves, Felipe Soares, Amy Siu, Karin Verspoor, Maika Vicente Navarro. 2019/8. Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), 29-53
• The centrosome protein AKNA regulates neurogenesis via microtubule organization
  Germán Camargo Ortega, Sven Falk, Pia A Johansson, Elise Peyre, Loïc Broix, Sanjeeb Kumar Sahu, William Hirst, Thomas Schlichthaerle, Camino De Juan Romero, Kalina Draganova, Stanislav Vinopal, Kaviya Chinnappa, Anna Gavranovic, Tugay Karakaya, Thomas Steininger, Juliane Merl-Pham, Regina Feederle, Wei Shao, Song-Hai Shi, Stefanie M Hauck, Ralf Jungmann, Frank Bradke, Victor Borrell, Arie Geerlof, Simone Reber, Vijay K Tiwari, Wieland B Huttner, Michaela Wilsch-Bräuninger, Laurent Nguyen, Magdalena Götz. 2019/3. Nature, Band 567, Ausgabe 7746, 113-117. Nature Publishing Group
• The role of pedagogy in one-to-one computing lessons: a quantitative observational study of teacher-student interactions.
  Arnon Hershkovitz, Agathe Merceron, Amran Shamaly. 2019/9/1. Revista Española de Pedagogía, Band 77, Ausgabe 274
• ATC Framework: A fully Automatic Cognitive Tracing Model for Student and Educational Contents.
  Yanjun Pu, Wenjun Wu, Tianrui Jiang, MC Desmarais, CF Lynch, A Merceron, R Nkambou. 2019/7/2. EDM
• Proceedings of the International Conference on Educational Data Mining (EDM)(12th, Montreal, Canada, July 2-5, 2019).
  Collin F Lynch, Agathe Merceron, Michel Desmarais, Roger Nkambou. 2019/7. International Educational Data Mining Society
• Mining Academic Data to Support Students’ Advisors: A Preliminary Study
  Lennart Egbers, Agathe Merceron, Stephan Wagner. 2019. Proceedings of DELFI Workshops 2019. Gesellschaft für Informatik eVz
• VITALab. Mobile-A Mobile Living Lab
  Thereza Schmelter, Sebastian Rings, Caspar Prasuhn, Joachim Villwock, Frank Steinicke, Kristian Hildebrand. 2019/9/8. Proceedings of Mensch Und Computer 2019, 917-920
• BewARe-Sensor-based Augmented Reality system for individualized endurance training for elderly people
  Christopher Kümmel, Philippe Wesberg, Susan Vorweg, Oskar Stamm, Anika Steinert, Joachim Villwock, Kristian Hildebrand. 2019. Proceedings of the Conference: IEEE VR 2019 Workshop-Applied VR for Enhanced Healthcare
• Vitalabs-a multi-stage platform for the evaluation of virtual therapies
  Kristian Hildebrand, Frank Steinicke, Sebastian Rings, Christopher Kümmel, Philippe Wesberg, Joachim Villwock. 2019. Proceedings of the IEEE VR Workshop on Applied VR for Enhanced Healthcare (AVEH), Band 4
• A U-Net deep learning framework for high performance vessel segmentation in patients with cerebrovascular disease
  Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Marie Akay, Tabea Kossen, Jan Sobesky, John D Kelleher, Kristian Hildebrand, Dietmar Frey, Vince I Madai. 2019. Frontiers in neuroscience, 97
• Modeling and Forecasting the Customer Activity for an European Travel Website
  Henning Nobmann, Thomas Winter, Patrick Erdelt, Nicola Winter, Alwin Haensel. 2019/5/30
• The Modelling and Assessment of Online Customer Interaction, Customer Journeys and Churning
  Bernhard Luther, Nicola Winter, Henning Nobmann, Thomas Winter, Patrick Erdelt, Alwin Haensel. January 2019. SSRN Electronic Journal
  10.2139/ssrn.3404493
• DataWig: Missing Value Imputation for Tables.
  Felix Biessmann, Tammo Rukat, Philipp Schmidt, Prathik Naidu, Sebastian Schelter, Andrey Taptunov, Dustin Lange, David Salinas. 2019/1/1. Zeitschrift: J. Mach. Learn. Res., Band 20, Ausgabe 175. Seiten 1-6
• Quantifying Interpretability and Trust in Machine Learning Systems
  Philipp Schmidt, Felix Biessmann. 2019/1/20. AAAI-19 Workshop on Network Interpretability for Deep Learning
• Differential data quality verification on partitioned data
  Sebastian Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat, Mario Kiessling, Andrey Taptunov, Felix Biessmann, Dustin Lange. 2019/4/8. 2019 IEEE 35th International Conference on Data Engineering (ICDE). Seiten: 1940-1945. Verlag: IEEE
• Unit testing data with deequ
  Sebastian Schelter, Felix Biessmann, Dustin Lange, Tammo Rukat, Phillipp Schmidt, Stephan Seufert, Pierre Brunelle, Andrey Taptunov. 2019/6/25. Proceedings of the 2019 International Conference on Management of Data. Seiten: 1993-1996
• A psychophysics approach for quantitative comparison of interpretable computer vision models
  Felix Biessmann, Dionysius Irza Refiano. 2019/11/24. arXiv preprint arXiv:1912.05011
• Skin type differences in sun‐induced oxidative stress
  S Albrecht, S Jung, R Müller, J Lademann, T Zuberbier, L Zastrow, C Reble, I Beckers, MC Meinke. 2019/3. British Journal of Dermatology, Band 180, Ausgabe 3
• Skin type differences in solar‐simulated radiation‐induced oxidative stress
  S Albrecht, S Jung, R Müller, J Lademann, T Zuberbier, L Zastrow, C Reble, I Beckers, MC Meinke. 2019/3. British Journal of Dermatology, Band 180, Ausgabe 3, 597-603
• Reliability of vital parameter sensors in harsh environments
  Josef Kauer, Wjatscheslaw Liublin, Sebastian Jünemann, Moritz Klimt, Dagmar Krefting, Sebastian Olbrich, Ingeborg E Beckers. 2019/2/26. Optics and Biophotonics in Low-Resource Settings V, Band 10869, 84-94. SPIE
• Automatic quality evaluation as assessment standard for optical coherence tomography
  Josef Kauer, Kay Gawlik, Hanna G Zimmermann, Ella Maria Kadas, Charlotte Bereuter, Friedemann Paul, Alexander U Brandt, Frank Haußer, Ingeborg E Beckers. 2019/2/26
  Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVII, Band 10868, 76-86. SPIE
• Quantification and characterization of radical production in human, animal and 3D skin models during sun irradiation measured by EPR spectroscopy
  Stephanie Albrecht, Anja Elpelt, Ceyda Kasim, Carina Reble, Lars Mundhenk, Hannah Pischon, Sarah Hedtrich, Christian Witzel, Jürgen Lademann, Leonhard Zastrow, Ingeborg Beckers, Martina C Meinke. 2019/2/1. Free Radical Biology and Medicine, Band 131, 299-308. Pergamon
• Neuartige Kommunikationswege und Strukturen zur Optimierung der häuslichen Versorgung am Beispiel von nierentransplantierten Patienten
  Wiebke Düttmann-Rehnolt, Danilo Schmidt, Fabian Halleck, Oliver Staeck, Roland Roller, Martin Högl, Gero Lurz, Philipp Legge, Thorsten Schaaf, Alexander Löser, Klemens Budde. 2019. Digitale Transformation von Dienstleistungen im Gesundheitswesen VI, 407-421. Springer Gabler, Wiesbaden
• Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, Antonio Jimeno Yepes, Madeleine Kittner, Martin Krallinger, Nancy Mah, Aurélie Névéol Mariana Neves, Felipe Soares, Amy Siu, Karin Verspoor, Maika Vicente Navarro. Automatic Translation of Biomedical Texts: The Biomedical Task at the Workshop for Machine Translation. AMIA (American Medical Informatics Association) NLP (Natural Language Processing) Working Group Pre-Symposium: Community Challenges/Workshops, 2019.
• Felix Biessmann, Tammo Rukat, Philipp Schmidt, Prathik Naidu, Sebastian Schelter, Andrey Taptunov, Dustin Lange, David Salinas: DataWig - Missing Value Imputation for Tables 2019, Journal of Machine Learning Research (JMLR).
• Livne, Michelle and Rieger, Jana and Aydin, Orhun and Taha, Abdel and Akay, Ela and Kossen, Tabea and Sobesky, Jan and Kelleher, John and Hildebrand, Kristian and Frey, Dietmar and Madai, Vince:U-net Deep Learning Framework for High Performance Vessel Segmentation in Patients with Cerebrovascular Disease, Frontiers in Neuroscience 2019 https://www.frontiersin.org/articles/10.3389/fnins.2019.00097/full
• Krauss C., Merceron, A., Arbanowski, S.:  The Timeliness Deviation: A novel Approach to Evaluate Educational Recommender Systems for Closed-Courses.
  Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 
  Tempe, AZ, USA — March 04 - 08, 2019 , ACM, pp. 195-204, doi>10.1145/3303772.3303774
• Sebastian Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat, Mario Kießling, Andrey Taptunov, Felix Bießmann, Dustin Lange: Differential Data Quality Verification on Partitioned Data. ICDE 2019: 1940-1945
• Sebastian Schelter, Felix Bießmann, Dustin Lange, Tammo Rukat, Philipp Schmidt, Stephan Seufert, Pierre Brunelle, Andrey Taptunov:Unit Testing Data with Deequ. SIGMOD Conference 2019: 1993-1996
• Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers: How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations. ACM CIKM 2019
• Kapoor V, Hirst WG, Hentschel C, Preibisch S, Reber S. (2019) Mtrack: Automated detection, tracking, and analysis of dynamic microtubules. Sci Rep, 7;9(1):3794.
• Camargo Ortega G, Falk S, Johansson PA, Peyre E, Broix L, Sahu SK, Hirst W, Schlichthaerle T, De Juan Romero C, Draganova K, Vinopal S, Chinnappa K, Gavranovic A, R, Bradke F, Borrell V, Geerlof A, Reber S, Tiwari VK, Huttner WB, Wilsch-Bräuninger M, Nguyen L, Götz M. (2019) A new centrosomal protein regulates neurogenesis by microtubule organisation. Nature; 567(7746):113-117.
• Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux, Felix A. Gers, Alexander Löser:
  SECTOR: A Neural Model for Coherent Topic Segmentation and Classification. TACL 7: 169-184 (2019)
• Torsten Kilias, Alexander Löser, Felix A. Gers, Ying Zhang, Richard Koopmanschap, Martin L. Kersten:
  IDEL: In-Database Neural Entity Linking. IEEE BigComp 2019: 1-8  Best paper award

2018 and before

• Sebastian Schelter, Dustin Lange, Philipp Schmidt, Meltem Celikel, Felix Bießmann, Andreas Grafberger: Automating Large-Scale Data Quality Verification. PVLDB 11(12): 1781-1794 (2018)
• Felix Bießmann, David Salinas, Sebastian Schelter, Philipp Schmidt, Dustin Lange:
  "Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data. ACM CIKM 2018: 2017-2025
• Patrick Ernst, Amy Siu, Gerhard Weikum: HighLife: Higher-arity Fact Harvesting. ACM WWW 2018: 1013-102, Best paper award (see paper)
• Smart-MD: Neural Paragraph Retrieval of Medical Topics". In ACM WWW ’18 Companion: The 2018 Web Conference Companion, April 23–27, 2018, Lyon, France. ACM, New York, NY, USA, 4 pages. [video]
• Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, Alexander Löser: RelVis: Benchmarking OpenIE Systems. International Semantic Web Conference (Posters, Demos & Industry Tracks) 2017
• Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, and Alexander Löser, “Analysing Errors of Open Information Extraction Systems,” accepted for BLGNLP 2017 Building Linguistically Generalizable NLP Systems at EMNLP 2017
• Troung-Sinh An, Agathe Merceron, Cristopher Krauss,  "Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses?" In Proc. 10th International Conference on Educational Data Mining EDM2017, China, June 25-28, pp. 220-225.
•  ACM TOG (Transaction on Graphics) 2017:Optimal discrete slicing on 3D printing optimization. Kristian Hildebrand, Marc Alexa und Sylvain Lefebvre
• Interactive Relation Extraction in Main Memory  Database Systems. Rudolf Schneider, Cordula Guder, Torsten Kilias, Alexander Löser, Jens Graupmann and Oleksandr Kozachuk. COLING 2016
• TASTY: Interactive Entity Linking As-You-Type. Sebastian Arnold, Robert Dziuba, Alexander Löser. COLING 2016
• Sebastian Arnold, Felix A. Gers, Torsten Kilias, Alexander Löser: Robust Named Entity Recognition in Idiosyncratic Domains. arXiv:1608.06757 [cs.CL] 2016
• Teacher-Student Classroom Interactions: A Computational Approach.
  Arnon Hershkovitz, Agathe Merceron, Amran Shamaly. 2015. In Proceedings of the 8th International Conference on Educational Data Mining, pp. 396-397, Madrid, Spain, June 26-29 2015 p. 558-559
• Resolving Common Analytical Tasks in Text Databases. Sebastian Arnold, Alexander Löser, Torsten Kilias.  ACM DOLAP 2015
• Proceedings of the 5th International Conference on Learning Analytics and Knowledge, ACM LAK15: Blinkstein, A.; Merceron, A.; Siemens, G.; Baron, J.; Marziaz, N.; Lynch, G. (Eds), Poughkeepsie, NY, USA, March 16-20, 2015, ACM, ISBN: 978-1-4503-3417-4 http://dl.acm.org/citation.cfm?id=2723576
• Reber S and Goehring NW (2015). Intracellular Scaling Mechanisms. Cold Spring Harb Perspect Biol., 2015 Aug 7;7(12).
• INDREX: In-database relation extraction. Torsten Kilias, Alexander Löser, Perikilis Andritsos Elsevier Information Systems Journal. 2015
• Asif, R., Merceron, A. and Pathan, M.K.: Investigating Performance of Students: a Longitudinal Study. ACM LAK 15, Blinkstein, A.; Merceron, A.; Siemens, G.; Baron, J.; Marziaz, N.; Lynch, G. (Eds), Poughkeepsie, NY, USA, March 16-20, 2015, ACM, ISBN: 978-1-4503-3417-4. http://dl.acm.org/citation.cfm?id=2723579
• Hyman AA and Reber S (2015). Emergent Properties of the Metaphase Spindle. Cold Spring Harb Perspect Biol, 1;7(7):a015784.
• Johannes Kirschnick, Torsten Kilias, Holmer Hemsen, Alexander Löser, Peter Adolphs, Heiko Ehrig, Holger Düwiger: A Marketplace for Web Scale Analytics and Text Annotation Services. COLING (Demos) 2014: 100-104
• Reber S, Baumgart J, PO, Pozniakovsky A, Howard J, Hyman AA, Jülicher F (2013). XMAP215 activity sets spindle length by controlling the total mass of spindle microtubules. Nat Cell Biol; 15(9):1116-22.
• Torsten Kilias, Alexander Löser, Periklis Andritsos: INDREX: in-database distributional relation extraction. ACM DOLAP 2013: 93-100

• Scolz M, Widlund PO, Piazza S, Bublik DR, Reber S, Peche LY, Ciani Y, Hubner N, Isokane M, Monte M, Ellenberg J, Hyman AA, Schneider C, Bird AW (2012). GTSE1 is a microtubule plus-end tracking protein that regulates EB1-dependent cell migration. PLoS One; 7(12):e51259.
• Widlund PO, Podolski M, Reber S, Alper J, Storch M, Hyman AA, Howard J, Drechsel DN (2012). One step purification of assembly-competent tubulin from diverse eukaryotic sources. Mol Biol Cell, 23(22):4393-401.
• Reber S & Hyman AA (2011). Samurai Sword Sets Spindle Size. Cell, 147(6), 1224-1225.
• Tang, S, Renz M, Driscoll M, Reber S, Nguyen A, Daniels B, and Lippincott-Schwartz J (2011). Cytoplasmic self-organization of internal membranes, microtubule-and actincytoskeleton inside microfluidics generated droplets. Mol Biol Cell, 22: 8120.
• Reber S. Isolation of centrosomes from cultured cells (2011). Methods Mol Biol, 777:107-16.
• Widlund PO, Stear JH, Pozniakovsky A, Zanic M, Reber S, Brouhard GJ, Hyman AA, Howard J (2011). XMAP215 polymerase activity is built by combining multiple tubulin binding TOG domains and a basic lattice-binding region. Proc Natl Acad Sci USA, 15;108(7):2741-6.
• A. Krueger, A. Merceron, B. Wolf:A Data Model to Ease Analysis and Mining of Educational Data Proc. 3rd International Conference on Educational Data Mining EDM2010, Pittsburgh, USA, June 11-13, pp. 131-140, ISBN: 978-0-615-37529-8.
• Berger SM, Pesold B, Reber S, Schönig K., Berger AJ, Weidenfeld I. & Bartsch D. (2010). Quantitative analysis of conditional gene inactivation using rationally designed, tetracycline-controlled miRNAs. Nucleic Acids Res, 38(17), e168-e168.
• Baker, R.S.J.d., Merceron, A., Pavlik, P.I. Jr. (Eds),
  Pittsburgh, PA, USA, June 11-13, 2010, ISBN: 978-0-615-37529-8. Proceedings of the 3rd International Conference on Educational Data Mining EDM2010.
  
• Reber S, Over S, Kronja I, Gruss OJ (2008). CaM kinase II initiates meiotic spindle depolymerization independently of APC/C activation. J Cell Biol, 15;183(6):1007-17.
• Tegha-Dunghu J, Neumann B, Reber S, Krause R, Erfle H, Walter T, ... & Ellenberg J. (2008). EML3 is a nuclear microtubule-binding protein required for the correct alignment of chromosomes in metaphase. J Cell Sci, 121(10), 1718-1726.
• A. Merceron, K. Yacef: Interestingness Measures for Association Rules in Educational Data Proceedings of the first International Conference on Educational Data Mining (EDM'08), Montreal, Canada, ISBN - 10: 0615306292. Nominated for best paper award.
• Taxis C, Maeder C, Reber S, Rathfelder N, Miura K, Greger K & Knop M. (2006). Dynamic organization of the actin cytoskeleton during meiosis and spore formation in budding yeast. Traffic, 7(12), 1628-1642.
• Janke C, Magiera MM, Rathfelder N, Taxis C, Reber S, Maekawa H & Knop M. (2004). A versatile toolbox for PCR‐based tagging of yeast genes: new fluorescent proteins, more markers and promoter substitution cassettes. Yeast, 21(11), 947-962.
• Moreno-Borchart AC, Finkbeiner MG, Maier P, Reber S & Knop M. (2003). Function of the yeast spindle pole body during meiotic cell differentiation. Cell Motil Cytoskel, 54, (2)165-165.
• Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber: Learning Precise Timing with LSTM Recurrent Networks. Journal of Machine Learning Research 3: 115-143 (2002)

• Gers F., Bießmann F. Deep Learning im Inverted Classroom Szenario, Berlin Journal of Data Science 2020
• Florian Stahl, Alexander Löser, Gottfried Vossen: Preismodelle für Datenmarktplätze. Informatik Spektrum 38(2): 133-141 (2015)
• Herrmann F.; Sauer P.: Fachspezifische 3D-Modelle in Oracle Spatial. DOAG Konferenz, Nürnberg, 2013;
• Krämer M.; Sauer P.: Integration von Geodaten und Daten des Facility Managements zur Verbesserung der Liegenschaftsverwaltung. In: Angewandte Forschung zur Stadt der Zukunft, Logos Verlag Berlin, S. 49 – 52, 2013
• Sauer P.; Herrmann F.; Matusewicz J.: Virtuelle Integration von Datenquellen mit einer Graph-Datenbank. Fossgis2014, Berlin, 2014, S. 11 – 14;