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2024
Lnenicka, M., Nikiforova, A., Luterek, M., Milic, P., Rudmark, D., Neumaier, S., Santoro, C., Casiano Flores, C., Janssen, M., & Rodríguez Bolívar, M. P. (2024). Identifying patterns and recommendations of and for sustainable open data initiatives: A benchmarking-driven analysis of open government data initiatives among European countries. Government Information Quarterly, 41(1), 101898. https://doi.org/10.1016/j.giq.2023.101898
Lnenicka, M., Nikiforova, A., Clarinval, A., Luterek, M., Rudmark, D., Neumaier, S., Kević, K., & Rodríguez Bolívar, M. P. (2024). Sustainable open data ecosystems in smart cities: A platform theory-based analysis of 19 European cities. Cities, 148, 104851. https://doi.org/10.1016/j.cities.2024.104851
2023
Dam, T., Krimbacher, A., & Neumaier, S. (2023, September). Policy Patterns for Usage Control in Data Spaces. Fifth International Workshop On A Semantic Data Space For Transport @ SEMANTiCS 2023. SEMANTiCS 2023.
Kieseberg, P., Weippl, E., Tjoa, A. M., Cabitza, F., Campagner, A., & Holzinger, A. (2023). Controllable AI-An Alternative to Trustworthiness in Complex AI Systems? International Cross-Domain Conference for Machine Learning and Knowledge Extraction, 1–12. https://doi.org/10.1007/978-3-031-40837-3_1
Kovac, F. (2023, June 3). [Keynote] Standing Still Is Not An Option: Alternative Baselines for Attainable Utility Preservation. Machine Learning Prague (MLPRAGUE) 2023, Prague, Czech Republic. https://mlprague.com/
2022
Boigner, P., & Luh, R. (2022). WSL2 Forensics: Detection, Analysis & Revirtualization. The 17th International Conference on Availability, Reliability and Security. https://doi.org/https://doi.org/10.1145/3538969.3544439
Dimou, A., Neumaier, S., Pellegrini, T., & Vahdati, S. (Eds.). (2022). Towards a knowledge-aware ai. IOS Press. https://ebooks.iospress.nl/volume/towards-a-knowledge-aware-ai-semantics-2022-proceedings-of-the-18th-international-conference-on-semantic-systems-1315-september-2022-vienna-austria
Hogan, A., Cochez, M., Melo, G. de, & Neumaier, S. (2022). Knowledge graphs. Morgan & Claypool Publishers.
Kieseberg, P., Buttinger, C., Kaltenbrunner, L., Temper, M., & Tjoa, S. (2022, July 18). Security considerations for the procurement and acquisition of Artificial Intelligence (AI) systems. 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Padua.
Nurgazina, J., Felberbauer, T., Asprion, B., & Pinnamaraju, P. (2022). Visualization and clustering for rolling forecast quality verification: A case study in the automotive industry. Procedia Computer Science, 200, 1048–1057. https://doi.org/https://doi.org/10.1016/j.procs.2022.01.304
Ruotsalainen, H. (2022). Reactive Jamming Detection for LoRaWAN Based on Meta-Data Differencing. Proceedings of the 17th International Conference on Availability, Reliability and Security, 1–8. https://doi.org/10.1145/3538969.3543805
2021
Adensamer, A., Gsenger, R., & Klausner, L. D. (2021). “Computer Says No”: Algorithmic Decision Support and Organisational Responsibility. Journal of Responsible Technology, 7–8. https://doi.org/10/gm6t7q
Adensamer, A., & Klausner, L. D. (2021). “Part Man, Part Machine, All Cop”: Automation in Policing. Frontiers in Artificial Intelligence, 2021(4). https://doi.org/10/gk3q27
Hogan, A., Blomqvist, E., Cochez, M., d"Amato, C., de Melo, G., Gutierrez, C., Gayo, J. E. L., Kirrane, S., Neumaier, S., Polleres, A., Navigli, R., Ngomo, A.-C. N., Rashid, S. M., Rula, A., Schmelzeisen, L., Sequeda, J., Staab, S., & Zimmermann, A. (2021). Knowledge Graphs. ACM Computing Surveys, 54(4), 1–37. https://doi.org/10.1145/3447772
Kieseberg, P., Schrittwieser, S., & Weippl, E. (2021). Secure Internal Data Markets. Future Internet, 13(8). https://doi.org/https://doi.org/10.3390/fi13080208
Neumaier, S., Havur, G., & Pellegrini, T. (2021). Towards an Architecture for Policy-Aware Decentral Dataset Exchange. SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing. SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing, Barcelona. https://www.thinkmind.org/index.php?view=article&articleid=semapro_2021_1_40_30020
Slijepčević, D., Henzl, M., Klausner, L. D., Dam, T., Kieseberg, P., & Zeppelzauer, M. (2021). k‑Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers. Computers & Security, 111, 19. https://doi.org/10.1016/j.cose.2021.102488
Stöger, K., Schneeberger, D., Kieseberg, P., & Holzinger, A. (2021). Legal aspects of data cleansing in medical AI. Computer Law & Security Review, 42. https://doi.org/https://doi.org/10.1016/j.clsr.2021.105587
2020
König, L., Korobeinikova, Y., Kieseberg, P., & Tjoa, S. (2020). Comparing Blockchain Standards and Recommendations. Future Internet 2020, Future Internet 2020. https://doi.org/10.3390/fi12120222
Pellegrini, T., Blomqvist, E., Groth, P., de Boer, V., Alam, M., Käfer, T., Kieseberg, P., Kirrane, S., Meroño-Peñuela, A., & Pandit, H. J. (Eds.). (2020). Semantic Systems. In the Era of Knowledge Graphs: 16th International Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands, September 7–10, 2020, Proceedings (Vol. 12378). Springer International Publishing. https://doi.org/10.1007/978-3-030-59833-4