Pernpeintner, M. (2020). Achieving emergent governance in competitive multi-agent systems.
In An, B., AAMAS '20 : Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, Auckland, Nea Zealand, May 2020 (S. 2204-2206). ,
ACM Digital Library: New York, NY.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2020). Robust decision tree induction from unreliable data sources.
In Rudolph, S., STAIRS 2020 : Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020) Santiago Compostela, Spain, August, 2020 (S. Paper 6, 1-8). CEUR Workshop Proceedings,
RWTH: Aachen.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2020). Tree-based learning for dynamic data streams.
PhD Forum, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2020, Online.
Wilken, N., Ailane, M. T., Bartelt, C., Burzlaff, F., Knieke, C., Lawrenz, S., Rausch, A. und Strasser, A. (2020). Dynamic adaptive system composition driven By emergence in an IoT based environment: Architecture and challenges.
In Mauri, J., ADAPTIVE 2020 : The Twelfth International Conference on Adaptive and Self-Adaptiive Systems and Applications, October 25, 2020 to October 29, 2020 - Nice, France (S. tba). ,
IARIA ; Curran: Wilmington, DC ; Red Hook.
2019
Burzlaff, F., Ackel, M. und Bartelt, C. (2019). A mapping language for IoT device descriptions.
In Getov, V., 2019 IEEE 43rd Annual Computer Software and Applications Conference : 15-19 July 2019, Milwaukee, Wisconsin : proceedings (S. 115-120). ,
IEEE Computer Society: Piscataway, NJ.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2019). Enhancing a crowd-based delivery network with mobility predictions.
In Ukkusuri, S., PredictGIS'19 : Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility : Chicago, IL, USA, November 05, 2019 (S. 66-75). ,
ACM: New York, NY.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2019). iDropout: Leveraging deep taylor decomposition for the robustness of deep neural networks.
In Panetto, H., On the Move to Meaningful Internet Systems: OTM 2019 Conferences : Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Rhodes, Greece, October 21–25, 2019, Proceedings (S. 113-126). Lecture Notes in Computer Science,
Springer International Publishing: Cham.
Schreckenberger, C., Beckmann, S. und Bartelt, C. (2019). Next place prediction: A systematic literature review.
In Sudo, A., PredictGIS 2018 : Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility : ACM GIS 2018 Conference: November 6 - November 9, 2018, Seattle, Washington (S. 37-45). ,
ACM: New York, NY.
Burzlaff, F., Bartelt, C. und Jacobs, S. (2018). Executing model-based software development for embedded I4.0 devices properly.
In Schaefer, I., MOD-WS 2018 : Joint Proceedings of the Workshops at Modellierung 2018 co-located with Modellierung 2018, Braunschweig, Germany, February 21, 2018 (S. 35-46). CEUR Workshop Proceedings,
RWTH: Aachen.
Burzlaff, F., Bartelt, C. und Stuckenschmidt, H. (2018). Next steps in knowledge-driven architecture composition.
In Gemulla, R., LWDA 2018 : Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" Mannheim, Germany, August 22-24, 2018 (S. 78-83). CEUR Workshop Proceedings,
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2017
Achichi, M., Cheatham, M., Dragisic, Z., Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., Jiménez-Ruiz, E., Kolthoff, K., Kuss, E., Lambrix, P., Leopold, H., Li, H., Meilicke, C., Mohammadi, M., Montanelli, S., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Stuckenschmidt, H., Thiéblin, E., Todorov, K., Trojahn, C. und Zamazal, O. (2017). Results of the Ontology Alignment Evaluation Initiative 2017.
In Shvaiko, P., OM 2017 : Proceedings of the 12th International Workshop on Ontology Matching co-located with the 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 21, 2017 (S. 61-113). CEUR Workshop Proceedings,
RWTH: Aachen.
Burzlaff, F. (2017). Knowledge-driven architecture composition.
In Eibl, M., 47. Jahrestagung der Gesellschaft für Informatik, Informatik 2017, Chemnitz, Germany, September 25-29, 2017 (S. 2365-2370). Lecture Notes in Informatics,
Gesellschaft für Informatik e.V.: Bonn.
Atkinson, C., Gerbig, R. und Metzger, N. (2015). On the execution of deep models.
In Mayerhofer, T., EXE 2015 : Proceedings of the 1st International Workshop on Executable Modeling co-located with ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS 2015) Ottawa, Canada, September 27, 2015 (S. 28-33). CEUR Workshop Proceedings,
RWTH: Aachen.
Kolthoff, K. und Dutta, A. (2015). Semantic relation composition in large scale knowledge bases.
In Gentile, A., Linked Data for Information Extraction : Proceedings of the Third International Workshop on Linked Data for Information Extraction (LD4IE2015) co-loc. with the 14th International Semantic Web Conference (ISWC 2015) ; Bethlehem, PA, USA, Oct. 12, 2015 (S. 34-47). CEUR Workshop Proceedings,
RWTH: Aachen.