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., Paulus, A., Burgdorf, A., Meisen, T., & Kipp, M. (2018). "An Extensible Semantic Search Engine for Biomedical Publications" , 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) .

Pomp, A., Paulus, A., Klischies, D., Schwier, C., & Meisen, T. (2018). "A Web-based UI to Enable Semantic Modeling for Everyone" , Procedia Computer Science , 249—254.

Scheiderer, C., & Meisen, T. (2018). "Auf eigenen Füßen: Machine Learning in der Industrie" , iX Special 2018 - Industrial Internet of Things , 48—51.

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 .

Meyes, R., Scheiderer, C., & Meisen, T. (2018). "Continuous Motion Planning for Industrial Robots based on Direct Sensory Input" , Procedia CIRP , 72 , 291—296.

Luetticke, D., & Meisen, T. (2018). "Design of an Automated Measuring System for RFID Transponders in Complex Environments" , 2018 IEEE International Conference on RFID Technology & Application (RFID-TA) .

Pomp, A., Paulus, A., Jeschke, S., & Meisen, T. (2018). "Enabling Semantics in Enterprises" , ICEIS 2017: Enterprise Information Systems , 428—450.

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.

Paulus, A., Pomp, A., Poth, L., Lipp, J., & Meisen, T. (2018). "Gathering and Combining Semantic Concepts from Multiple Knowledge Bases" , ICEIS 2018 , 1 , 69—80.

Meyes, R., Tercan, H., Roggendorf, S., Thiele, T., Büscher, C., Obdenbusch, M., Brecher, C., Jeschke, S., & Meisen, T. (2017). "Motion Planning for Industrial Robots using Reinforcement Learning" , Procedia CIRP , 63 , 107—112.

Haßler, M., Kohlschein, C., & Meisen, T. (2017). "Similarity Analysis of Time Interval Data Sets—A Graph Theory Approach" , ITISE 2017: Time Series Analysis and Forecasting , 159—171.

Haßler, M., Kohlschein, C., & Meisen, T. (2017). "Similarity Analysis of Time Interval Data Sets---A Graph Theory Approach" , ITISE 2017: Time Series Analysis and Forecasting , 159--171.

Haßler, M., Jeschke, S., & Meisen, T. (2017). "Similarity Analysis of Time Interval Data Sets Regarding Time Shifts and Rescaling" , Proceedings International work-conference on Time Series , 995—1006.

Hoffmann, M., Thomas, P., Schütz, D., Vogel-Heuser, B., Meisen, T., & Jeschke, S. (2017). "Semantic Integration of Multi-agent Systems Using an OPC UA Information Modeling Approach" , IEEE International Conference on Industrial Informatics (INDIN) , 744—747.