Böhme, O., & Meisen, T. (2021). "Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features" in Proceedings of the 13th International Conference on Agents and Artificial Intelligence , SciTePress 522—530.

Paulus, A., Burgdorf, A., Pomp, A., & Meisen, T. (2021). "Recent Advances and Future Challenges of Semantic Modeling" in 2021 IEEE 15th International Conference on Semantic Computing (ICSC) , IEEE 70—75.

Engel, A., Loerwald, P., & Horn, G. (2021). "Smart Mobility Solutions by Citizien Participation - From Creating Conditions of Possibility to Co-production" in ITS World Congress - Book of Abstracts , 1865—1876.

Bulow, F., Mentz, J., & Meisen, T. (2021). "State of health forecasting of Lithium-ion batteries applicable in real-world operational conditions" , Journal of Energy Storage , 44 , 103439.

Kummert, A., Meisen, T., Krause, M., Michalik, D., & Kohl, P. (2021). "Synergiepotenziale von Virtual City Twins im Bereich automatisiertes Fahren -- Beschleunigung der technischen Entwicklung und Überwindung von Akzeptanzbarrieren" in Making Connected Mobility Work , Proff, Heike, Eds. Wiesbaden : {Springer Fachmedien Wiesbaden} , 113--133.

Kummert, A., Meisen, T., Krause, M., Michalik, D., & Kohl, P. (2021). "Synergiepotenziale von Virtual City Twins im Bereich automatisiertes Fahren – Beschleunigung der technischen Entwicklung und Überwindung von Akzeptanzbarrieren" in Making Connected Mobility Work , Proff, Heike, Eds. Wiesbaden : Springer Fachmedien Wiesbaden , 113—133.

Langer, T., & Meisen, T. (2021). "System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis" , Information , 12 (4), 140.

Langer, T., & Meisen, T. (2021). "Visual Analytics for Industrial Sensor Data Analysis" in Proceedings of the 23rd International Conference on Enterprise Information Systems , SciTePress 584—593.

Bitter, C., Tercan, H., Meisen, T., Bodnar, T., & Meisen, P. (2021). "When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails" in 2021 4th International Conference on Artificial Intelligence for Industries (AI4I) , IEEE 25—29.

2020 International Conference on Computational Science and Computational Intelligence (CSCI) .

Horn, G., & Schönefeld, K. (2020). "AI for Future Mobility: What Amount of Willingness to Change Does a Society Need?" in Proceedings of the 9th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS , SciTePress 38—43.

Bellgardt, M., Scheiderer, C., & Kuhlen, T. W. (2020). "An Immersive Node-Link Visualization of Artificial Neural Networks for Machine Learning Experts" in 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) , IEEE 33—36.

Pomp, A. (2020). Bottom-up Knowledge Graph-based Data Management (1. Auflage). Düren : Shaker.

Steiniger, Y., Stoppe, J., Meisen, T., & Kraus, D. (2020). "Dealing With Highly Unbalanced Sidescan Sonar Image Datasets for Deep Learning Classification Tasks" in Global Oceans 2020: Singapore – U.S. Gulf Coast , IEEE 1—7.

Scheidt, F., Ou, J., Ishii, H., & Meisen, T. (2020). "deepKnit: Learning-based Generation of Machine Knitting Code" , Procedia Manufacturing , 51 , 485—492.