Scientific Publications

  • K. Tschumitschew and F. Klawonn, "Effects of drift and noise on the optimal sliding window size for data stream regression models", Communications in Statistics - Theory and Methods, Journal paper (to appear), 2015.
  • M. Galende, M.J. Gacto, G. Sainz, and R. Alcalá, "Comparison and Design of Interpretable Linguistic vs. Scatter FRBSs: Gm3m Generalization and New Rule Meaning Index for Global Assessment and Local Pseudo-Linguistic Representation", Information Sciences, vol. 282, pp. 190-213, October 2014. Doi: 10.1016/j.ins.2014.05.023.
  • R. Villarejo, C.A. Johansson, U. Leturiondo, V. Simon, and D. Galar, "Bottom to top approach for railway KPI generation", in Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference, pp. 171-177, Coimbra, September 2014. Doi: 10.14195/978-972-8954-42-0_25.
  • R. Villarejo, D. Galar, C.A. Johansson, M. Menendez, and N.Perales, "Context Awareness And Railway Maintenance", in Proceedings of the 3rd international workshop and congress on eMaintenance (eMaintenance 2014), pp. 17-24, Lulea, June 2014.
  • T. Myklebust, N. Lyngby, R. Bains, and G.K. Hanssen, "CoVeR maintenance and maintainability requirements by using tools", in The Annual Reliability and Maintainabilitiy Symposium (RAMS 2014), pp. 1-6, Colorado, January 2014. Doi: 10.1109/RAMS.2014.6798497.
  • P. Pace and L. Kontokostas, "Railway infraestructure asset and condition data collection, data usage and deterioration modelling for, maintenance performance measurement", in 10th World Congress on Railway research (WCRR 2013), pp. 1-6, Sydney, November 2013.
  • F. Klawonn, "What can fuzzy cluster analysis contribute to clustering of high-dimensional data?", in 10th International Workshop on Fuzzy Logic and Applications (WILF 2013), vol 8256 of Lecture Notes in Computer Science, pp. 1-14, Genoa, November 2013. Doi: 10.1007/978-3-319-03200-9_1.
  • N. Lyngby and T. Myklebust, "The CoVeR method for the maintenance of a rail corridor", in ESREL 2013 Conference, Chapter 101 of Safety, Reability and Risk Analysis, pp. 867-872, Amsterdam, September 2013. Doi: 10.1201/b15938-130.
  • D. Galar, U. Kumar, R.Villarejo, and C.A. Johansson, "Hybrid prognosis for railway health assessment: An information fusion approach for PHM deployment", in Prognostics and System Health Management Conference (PHM 2013), vol 33 of Chemical Engineering Transactions, pp. 769-774, Milan, September 2013. Doi: 10.3303/CET1333129.
  • M. Krone, F. Klawonn, and B. Jayaram, "RaCoCl: Robust Rank Correlation based Clustering - An Exploratory study for High-Dimensional Data", in 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), pp. 1-8, Hyderabad, July 2013. Doi: 10.1109/FUZZ-IEEE.2013.6622463.
  • C. Bergmeir, G.I. Sainz, C. Martínez, and J.M. Benítez, "A study on the use of machine learning methods for incidence prediction in High-Speed Train Tracks", in Procceedings of 26th International Conference on Industrial Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2013), vol 7906 of Lecture Notes in Computer Science, pp. 674-683, Amsterdam, June 2013. Doi: 10.1007/978-3-642-38577-3.