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Niklaus, Joël; Alberti, Michele; Ingold, Rolf; Stolze, Markus; Koller, Thomas (12 October 2020). Challenging human supremacy: Evaluating monte carlo tree search and deep learning for the trick taking card game jass In: International Conference on Artificial Intelligence and Soft Computing ICAISC 2020. Lecture Notes in Computer Science: Vol. 12416 (pp. 505-517). Springer 10.1007/978-3-030-61534-5_45
Niklaus, Joël; Alberti, Michele; Pondenkandath, Vinaychandran; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Survey of artificial intelligence for card games and its application to the Swiss game Jass In: 2019 6th Swiss Conference on Data Science (SDS). Bern, Switzerland. June 14, 2019. 10.1109/SDS.2019.00-12
Alberti, Michele; Pondenkandath, Vinaychandran; Vogtlin, Lars; Gygli, Marcel; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Improving Reproducible Deep Learning Workflows with DeepDIVA In: 2019 6th Swiss Conference on Data Science (SDS) (pp. 13-18). New York: IEEE 10.1109/SDS.2019.00-14
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Bouillon, Manuel; Seuret, Mathias; Ingold, Rolf; Liwicki, Marcus (2019). Are You Tampering with My Data? In: Leal-Taixé, Laura; Roth, Stefan (eds.) Computer Vision – ECCV 2018: 15th European Conference: Proceedings, Part II. Lecture Notes in Computer Science: Vol. 11130 (pp. 296-312). Cham: Springer International Publishing 10.1007/978-3-030-11012-3_25
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Ingold, Rolf; Liwicki, Marcus (8 August 2018). DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 423-428). New York: IEEE 10.1109/ICFHR-2018.2018.00080
