Literature
- Paassen B (2015). Adaptive Affine Sequence Alignment
Using Algebraic Dynamic Programming, Master Thesis,
Bielefeld University (Preprint)
- Mokbel B, Paassen B, Hammer B (2014).
Adaptive Distance Measures for Sequential Data In
M. Verleysen (Ed.), ESANN, 22nd European Symposium on Artificial
Neural Networks, Computational Intelligence and Machine Learning
(pp. 265-270). Bruges, Belgium: i6doc.com.
(Preprint)
- Mokbel B, Paassen B, Hammer B (2014).
Efficient adaptation of structure metrics in prototype-based
classification In: S. Wermter, C. Weber, W. Duch, T. Honkela,
P. Koprinkova-Hristova, S. Magg, G. Palm, et al. (Eds.),
Lecture Notes in Computer Science: Vol. 8681. Artificial Neural
Networks and Machine Learning - ICANN 2014 - 24th International
Conference on Artificial Neural Networks, Hamburg, Germany,
September 15-19, 2014. Proceedings (pp. 571-578). Springer.
(Preprint)
- Mokbel B, Paassen B, Hammer B (2015).
Metric learning for sequences in relational LVQ In:
Neurocomputing (in press)
- Paassen B, Mokbel B, Hammer B (2015).
Adaptive structure metrics for automated feedback provision
in Java programming In: ESANN,
23rd European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning (pp. 307-312).
Bruges, Belgium: i6doc.com. (Preprint)