Bulow, F., & Meisen, T. (2023). "A review on methods for state of health forecasting of lithium-ion batteries applicable in real-world operational conditions" , Journal of Energy Storage , 57 , 105978.

Waubert-de-Puiseau, C., Peters, J., Dörpelkus, C., Tercan, H., & Meisen, T. (2023). "schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments" , arXiv arXiv:2301.04182 .

Pomp, A., Jansen, M., Berg, H., & Meisen, T. (2023). "SPACE{\_}DS: Towards a Circular Economy Data Space" in Companion Proceedings of the ACM Web Conference 2023 , Ding, Ying and Tang, Jie and Sequeda, Juan and Aroyo, Lora and Castillo, Carlos and Houben, Geert-Jan, Eds. New York, NY, USA : ACM 1500--1501.

Jansen, M., Meisen, T., Plociennik, C., Berg, H., Pomp, A., & Windholz, W. (2023). "Stop Guessing in the Dark: Identified Requirements for Digital Product Passport Systems" , Systems , 11 (3), 123.

Paulus, A., Pomp, A., & Meisen, T. (2023). "The PLASMA Framework: Laying the Path to Domain-Specific Semantics in Dataspaces" in Companion Proceedings of the ACM Web Conference 2023 , Ding, Ying and Tang, Jie and Sequeda, Juan and Aroyo, Lora and Castillo, Carlos and Houben, Geert-Jan, Eds. New York, NY, USA : ACM 1474--1479.

Hahn, Y., Langer, T., Meyes, R., & Meisen, T. (2023). "Time Series Dataset Survey for Forecasting with Deep Learning" , Forecasting , 5 (1), 315--335.

Langer, T., Pomp, A., & Meisen, T. (2023). "Towards a Data Space for Interoperability of Analytic Provenance" in Companion Proceedings of the ACM Web Conference 2023 , Ding, Ying and Tang, Jie and Sequeda, Juan and Aroyo, Lora and Castillo, Carlos and Houben, Geert-Jan, Eds. New York, NY, USA : ACM 1502--1503.

Engel, A., Puleikis, L., & Krosch, K. (2023). "Von aufgestoßenen Türen: Urbane Mobilitätskulturen in der Digitalen Transformation -- Die Coronapandemie als Katalysator für eine neue Mobilität unter Lebensälteren?" in Towards the New Normal in Mobility , Proff, Heike, Eds. Wiesbaden : {Springer Fachmedien Wiesbaden} , 993--1010.

Paulus, A., Burgdorf, A., Pomp, A., & Meisen, T. (2023). "Collaborative Filtering Recommender System for Semantic Model Refinement" in 2023 IEEE 17th International Conference on Semantic Computing (ICSC) , IEEE 183--190.

Bulow, F., & Meisen, T. (2022). "State of Health Forecasting of Heterogeneous Lithium-ion Battery Types and Operation Enabled by Transfer Learning" , PHM Society European Conference , 7 (1), 490--508.

Paulus, A., Burgdorf, A., Langer, T., Pomp, A., Meisen, T., & Pol, S. (2022). "PLASMA: A Semantic Modeling Tool for Domain Experts" in Proceedings of the 31st ACM International Conference on Information {\&} Knowledge Management , New York, NY, USA : {Association for Computing Machinery} 4946--4950.

Maack, R. F., Waubert-de-Puiseau, C., Sokolova, A., Atsbha, H., Tercan, H., & Meisen, T. (2022). "Reducing the Sim2Real-Gap in Extrusion Blow Molding using Random Forest Regressors" , Manufacturing Letters , 33 , 843--849.

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.

Bär, S., Bär, F., Pol, S., & Meisen, T. (2022). "Skalierung der Online-Job-Shop-Planung durch Reinforcement Learning" , Atp Edition , 63 (5), 52--59.

Alves-Gomes, M., Meyes, R., Meisen, P., & Meisen, T. (2022). "Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings" in Proceedings of the 31st ACM International Conference on Information {\&} Knowledge Management , New York, NY, USA : {Association for Computing Machinery} 2873--2882.