Alexander Mey, Tom Julian Viering, Marco Loog (2020), A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization, In Michael R. Berthold, Ad Feelders, Georg Krempl (Eds.) Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings pp. 326-338 Springer Open.

Alex Mey (2020), Assumptions & Expectations in Semi-Supervised Machine Learning, PhD Thesis Delft University of Technology.

Tom Julian Viering, Alexander Mey, Marco Loog (2020), Making Learners (More) Monotone, In Michael R. Berthold, Ad Feelders, Georg Krempl (Eds.) Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings pp. 535-547 Springer Open.

Alexander Mey, Marco Loog (2016), A soft-labeled self-training approach, 2016 23rd International Conference on Pattern Recognition (ICPR) pp. 2604-2609 IEEE.