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Gannouni, A., Samsonov, V., Behery, M., Meisen, T., & Lakemeyer, G. (2020). "Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste" in IEEE International Conference on Systems, Man, and Cybernetics (SMC) .

Pomp, A., Kraus, V., Poth, L., & Meisen, T. (2020). "Semantic Concept Recommendation for Continuously Evolving Knowledge Graphs" in Enterprise Information Systems , Filipe, Joaquim and Smialek, Michal and Brodsky, Alexander and Hammoudi, Slimane, Eds. Cham : Springer International Publishing AG 361—385.

Scheiderer, C., Thun, T., Idzik, C., Posada-Moreno, A. F., Krämer, A., Lohmar, J., Hirt, G., & Meisen, T. (2020). "Simulation-as-a-Service for Reinforcement Learning Applications by Example of Heavy Plate Rolling Processes" , Procedia Manufacturing , 51 , 897—903.

Otte, T., Gannouni, A., & Meisen, T. (2020). "The future of urban freight transport: A data-driven consolidation approach to accompany cities on their path to zero redundancy in freight movement" in 27th ITS World Congress via 1st Virtual ITS European Congress .

Burgdorf, A., Pomp, A., & Meisen, T. (2020). "Towards NLP-supported Semantic Data Management" , arXiv preprint arXiv:2005.06916 .

Scheiderer, C., Mosbach, M., Posada-Moreno, A. F., & Meisen, T. (2020). "Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks" in 2020 International Conference on Computational Science and Computational Intelligence (CSCI) , IEEE 504—509.

Meyes, R., Waubert-de-Puiseau, C., Posada-Moreno, A., & Meisen, T. (2020). "Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations" .

Pomp, A., Paulus, A., Burgdorf, A., & Meisen, T. (2020). "Verbesserung der Nutzbarkeit von Open Data auf Basis eines semantischen Datenmarktplatzes" in OKNRW - ONLINE BARCAMP 2020 Science-Track , 14—15.

Haßler, M., Burgdorf, A., Pomp, A., Kohlschein, C., Busing, C., & Jonas, S. (2019). "A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment" in 2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom) , IEEE 1—4.

Meyes, R., Donauer, J., Schmeing, A., & Meisen, T. (2019). "A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data" , Procedia Manufacturing , 34 , 789—797.

Meyes, R., Lu, M., Waubert-de-Puiseau, C., & Meisen, T. (2019). "Ablation Studies in Artificial Neural Networks" , arXiv arXiv:1901.08644 .

Meyes, R., Lu, M., Waubert-de-Puiseau, C., & Meisen, T. (2019). "Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural Networks" , Proceedings of the 2019 International Conference on Artificial Intelligence (ICAI) .

Meyes, R., Tercan, H., & Meisen, T. (2019). "Artificial Intelligence in Automotive Production" , Mobility in a Globalised World 2018 , 22 , 308—324.

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.