Pomp, A., Lipp, J., & Meisen, T. (2019). "You are Missing a Concept! Enhancing Ontology-Based Data Access with Evolving Ontologies" in 2019 IEEE 13th International Conference on Semantic Computing (ICSC) . 98—105.

Samsonov, V., Lipp, J., Noodt, P., Fenollar Solvay, A., & Meisen, T. (2019). "More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing" in Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019) , IEEE

Scheiderer, C., Thun, T., & Meisen, T. (2019). "Bézier Curve Based Continuous and Smooth Motion Planning for Self-Learning Industrial Robots" , Procedia Manufacturing , 38 , 423—430.

Schönefeld, K., Frye, S., Haertel, T., Willicks, F., & Hees, F. (2019). "Interkulturelle und sozial verantwortliche Technikbildung-Die Ingenieure ohne Grenzen Challenge" , Journal of Technical Education , 7 (1),

Tercan, H., Guajardo, A., & Meisen, T. (2019). "Industrial Transfer Learning: Boosting Machine Learning in Production" in 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) , IEEE 274—279.

Thiele, T., Meisen, T., & Jeschke, S. (2019). "Smart Factory" in Handbuch Virtualität , Wiesbaden : Springer Fachmedien Wiesbaden and Springer VS , 1—18.

Bejjani, C., Utsch, J., Thiele, T., Meisen, T., Jeschke, S., & Burggräf, P. (2018). "Flow Chart Based Information Modeling for Factory Planning" , Procedia CIRP , 72 , 410—415.

Burgdorf, A., Güthe, I., Jovanovi\'c, M., Kutafina, E., Kohlschein, C., Bitsch, J. Á., & Jonas, S. M. (2018). "The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices" , Computers in biology and medicine , 103 , 8—16.

Fehling, C. D. (2018). "Lernen mit Virtual Reality" , wirAusbilder , 6—9.

Haßler, M., Pomp, A., Kohlschein, C., & Meisen, T. (2018). "STIDes Revisited-Tackling Global Time Shifts and Scaling" , 2018 International Conference on Innovations in Information Technology (IIT) .

Haßler, M., Burgdorf, A., Kohlschein, C., & Meisen, T. (2018). "Similarity Recognition of Interval-Based Sleep Data" , 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) .

Ionita, A., Pomp, A., Cochez, M., Meisen, T., & Decker, S. (2018). "Where to Park? Predicting Free Parking Spots in Unmonitored City Areas" in Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics , Akerkar, Rajendra and Ivanovi\'c, Mirjana and Kim, Sang-Wook and Manolopoulos, Yannis and Rosati, Riccardo and Savi\'c, Milos and Badica, Costin and Radovanovi\'c, Milos, Eds. New York : ACM 1—12.

Ou, J., Ma, Z., Peters, J., Dai, S., Vlavianos, N., & Ishii, H. (2018). "KinetiX - designing auxetic-inspired deformable material structures" , Computers & Graphics , 75 , 72—81.

Kirmse, A., Kraus, V., Hoffmann, M., & Meisen, T. (2018). "An Architecture for Efficient Integration and Harmonization of Heterogeneous , Distributed Data Sources Enabling Big Data Analytics" , ICEIS 2018 , 1 , 175—182.

Kohlschein, C., Klischies, D., Meisen, T., Schuller, B. W., & Werner, C. J. (2018). "Automatic Processing of Clinical Aphasia Data Collected During Diagnosis Sessions: Challenges and Prospects" , Proceedings of resources and processing of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments (RaPID-2 2018), satellite of the 11th Language Resources and Evaluation Conference (LREC 2 .