Pomp, A., Burgdorf, A., Paulus, A., & Meisen, T. (2022). "Towards Unlocking the Potential of the Internet of Things for the Skilled Crafts" in Proceedings of the 24th International Conference on Enterprise Information Systems , SCITEPRESS - Science and Technology Publications 203—210.

Samsonov, V., Ben Hicham, K., & Meisen, T. (2022). "Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward" , Engineering Applications of Artificial Intelligence , 112 (2), 104868.

Steiniger, Y., Kraus, D., & Meisen, T. (2022). "Survey on deep learning based computer vision for sonar imagery" , Engineering Applications of Artificial Intelligence , 114 (3), 105157.

Steiniger, Y., Stoppe, J., Kraus, D., & Meisen, T. (2022). "Investigating the training of convolutional neural networks with limited sidescan sonar image datasets" in OCEANS 2022, Hampton Roads , IEEE 1—6.

Tercan, H., Deibert, P., & Meisen, T. (2022). "Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer" , Journal of Intelligent Manufacturing , 283—292.

Tercan, H., & Meisen, T. (2022). "Machine learning and deep learning based predictive quality in manufacturing: a systematic review" , Journal of Intelligent Manufacturing .

Langer, T., Welbers, V., & Meisen, T. (2022). "Gideon-TS: Efficient Exploration and Labeling of Multivariate Industrial Sensor Data" , 2184-4992 .

Langer, T., Meyes, R., & Meisen, T. (2022). "Gideon Replay: A library to replay interactions in web-applications" , SoftwareX , 17 , 100964.

Vietz, H., Maschler, B., Tercan, H., Bitter, C., Meisen, T., & Weyrich, M. (2022). "Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis" , atp magazin , 63 (9), 86—93.

Puiseau, C., Meyes, R., & Meisen, T. (2022). "On reliability of reinforcement learning based production scheduling systems: a comparative survey" , Journal of Intelligent Manufacturing , 33 (4), 911—927.

Puiseau, C., Nanfack, D. T., Tercan, H., Löbbert-Plattfaut, J., & Meisen, T. (2022). "Dynamic Storage Location Assignment in Warehouses Using Deep Reinforcement Learning" , Technologies , 10 (6), 129.

Alves Gomes, M., Tercan, H., Bodnar, T., Meisen, T., & Meisen, P. (2021). "A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter" in 2021 IEEE 23rd Int. Conf. on High Performance Computing and Communications; 7th Int. Conf. on Data Science and Systems; 19th Int. Conf. on Smart City; 7th Int. Conf. on Dependability in Sensor, Cloud and Big Data Systems and Application (HPCC/DSS/SmartCity/DependSys) . 1278—1285.

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.

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 - Science and and Technology Publications 522—530.

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.