Zahera, H. M. A., Heindorf, S., &; Ngonga Ngomo, A.-C. (2021). ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs. Proceedings of the 11th on Knowledge Capture Conference.https://doi.org/10.1145/3460210.3493563 

Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo, A.-C., &; Hüllermeier, E. (2021). Drift Detection in Text Data with Document Embeddings. In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing.https://doi.org/10.1007/978-3-030-91608-4_11 

Demir, C., Moussallem, D., Heindorf, S., &; Ngonga Ngomo, A.-C. (2021). Convolutional Hypercomplex Embeddings for Link Prediction. The 13th Asian Conference on Machine Learning, ACML 2021.

Nickchen, T., Heindorf, S., &; Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).https://doi.org/10.1109/wacv48630.2021.00204 

Heindorf, S. (2021). Automatically generating instructions from tutorials for search and user navigation.

Höpker, J. P., Verma, V. B., Protte, M., Ricken, R., Quiring, V., Eigner, C., Ebers, L., Hammer, M., Förstner, J., Silberhorn, C., Mirin, R. P., Woo Nam, S., &; Bartley, T. (2021). Integrated superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides. Journal of Physics: Photonics, 3, 034022.https://doi.org/10.1088/2515-7647/ac105b 

Bender, A. (2021). A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions. Machines, 9(10), Article 210.https://doi.org/10.3390/machines9100210 

Schneider, S. B. (2021). Conventional and Machine Learning Approaches for Network and Service Coordination.

Weber, J. (2021). Artificial Intelligence and the Sociotechnical Imaginary: On Skynet, Self-Healing Swarms and Slaughterbots. In K. Maurer &; A. I. Graae (Eds.), Drone Imaginaries. The Power of Remote Vision (pp. 167–179). Manchester University Press.

Weber, J., &; Mayer, K. (2021). From Optimizing Military Operations to Targeting Terrorist Networks: Social Network Analysis in Data-Driven Warfare. In M. Burkhardt, M. Shnayien, &; K. Grashöfer (Eds.), Explorations in Digital Cultures. meson press.

Weber, J. (2021). Human-Machine Learning und Digital Commons. In K. Braun &; C. Kropp (Eds.), In digitaler Gesellschaft. Neukonfigurationen zwischen Robotern, Algorithmen und Usern (pp. 213–222). transcript.

Steinhardt, I. (2021). Students in the spotlight: Using collaborative autoethnography to build a community of learning in the Corona crisis. ISA Pedagogy Series, 1(1), 42–59.

Steinhardt, I., Fischer, C., Heimstädt, M., Hirsbrunner, S. D., Ikiz-Akinci, D., Kressin, L., Kretzer, S., Möllenkamp, A., Portzelt, M., Rahal, R.-M., Schimmler, S., Wilke, R., &; Wünsche, H. (2021). Opening up and Sharing Data from Qualitative Research: A Primer (Vol. 17). Weizenbaum Institute for the Networked Society - The German Internet Institu.https://doi.org/10.34669/WI.WS/17 

Steinhardt, I. (2021). Digitale Praktiken und das Studium. In H. Bremer &; A. Lange-Vester (Eds.), Entwicklungen im Feld der Hochschule (pp. 213–226).

Wembe Moafo, B. E. (n.d.). Geometric and Numerical Methods in Optimal Control and Zermelo Problems on Revolution Surfaces - Applications.

Böhnke, M., Rossel, M. S., Bielak, C. R., Bobbert, M., &; Meschut, G. (2021). Concept development of a method for identifying friction coefficients for the numerical simulation of clinching processes. The International Journal of Advanced Manufacturing Technology.https://doi.org/10.1007/s00170-021-07986-4 

Weber, J. (2021). Artificial Intelligence in the Age of Technoscience. In A. Elliott (Ed.), Routledge Social Science Handbook of Artificial Intelligence (pp. 58-73 preprint). Routledge.

Schröer, F., &; Tenberge, C. (2021). Technological and Inclusive Education - Considering Students’ Needs Towards Technological Learning in Primary Schools. TECHNE SERIES - Forskning i Slöjdpedagogik Och Slöjdvetenskap, 28(2), 322–331.

Alpsancar, S. (2021). eVom Fahr-Zeug zum Fahr-Ding. Ein Heideggerianischer Kommentar zum autonomen Automobil“. In F. Sprenger (Ed.), Autonome Autos 3 Die Zukunft des Verkehrs und die Dispositive der Mobilität (1st ed., pp. 3733397). transcript Verlag.https://doi.org/10.14361/9783839450246 

Itner, D., Gravenkamp, H., Dreiling, D., Feldmann, N., &; Henning, B. (2021). Simulation of Guided Waves in Cylinders Subject to Arbitrary Boundary Conditions Using the Scaled Boundary Finite Element Method. 14th WCCM-ECCOMAS Congress, 700.https://doi.org/10.23967/wccm-eccomas.2020.307