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Haenni, Rolf; Hartmann, Stephan (2006). Special Issue of Minds and Machines on Causality, Uncertainty and Ignorance. Minds and machines, 16(3), pp. 237-238. Dordrecht: Springer 10.1007/s11023-006-9041-3
Haenni, Rolf; Hartmann, Stephan (2006). Modeling Partially Reliable Information Sources: a General Approach based on Dempster-Shafer Theory. Information fusion, 7(4), pp. 361-379. Amsterdam: Elsevier 10.1016/j.inffus.2005.06.005
Dal Molin, Alexandra (2019). Ein Roboter-Rasenmäher per Mausklick: Analyse ausgewählter Fragestellungen bei der Vertragsgestaltung und -durchsetzung. In: Hürlimann-Kaup, Bettina; Eitel, Paul; Hartmann, Stephan; Haas, Raphaël (eds.) Liber amicorum für Jörg Schmid zum 60. Geburtstag (pp. 109-132). Zürich: Schulthess Verlag
Beisbart, Claus (2014). Good just isn't Good Enough: Humean Chances and Boltzmannian Statistical Physics. In: Calvotti, Maria Carla; Dieks, Dennis; Gonzalez, W. J.; Hartmann, Stephan; Uebel, Thomas; Weber, Marcel (eds.) New Directions in the Philosophy of Science. The Philosophy of Science in a European Perspective: Vol. 5 (pp. 511-529). Cham, Heidelberg etc.: Springer 10.1007/978-3-319-04382-1_36
Schmitt, Sebastian; Klahn, Johann; Bellec, Guillaume; Grubl, Andreas; Guttler, Maurice; Hartel, Andreas; Hartmann, Stephan; Husmann, Dan; Husmann, Kai; Jeltsch, Sebastian; Karasenko, Vitali; Kleider, Mitja; Koke, Christoph; Kononov, Alexander; Mauch, Christian; Muller, Eric; Muller, Paul; Partzsch, Johannes; Petrovici, Mihai Alexandru; Schiefer, Stefan; ... (2017). Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. In: 2017 International Joint Conference on Neural Networks (IJCNN) (pp. 2227-2234). IEEE 10.1109/IJCNN.2017.7966125
