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ORCIDUlrich Weidmann 0001
Person information
- affiliation: ETH Zurich, Institute for Transport Planning and Systems (IVT), Switzerland
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2020 – today
- 2021
[j9]Pier Giuseppe Sessa, Valerio De Martinis
, Axel Bomhauer-Beins, Ulrich Alois Weidmann, Francesco Corman:
A hybrid stochastic approach for offline train trajectory reconstruction. Public Transp. 13(3): 675-698 (2021)- 2020
- [j8]Ambra Toletti, Marco Laumanns, Ulrich Weidmann:
Coordinated railway traffic rescheduling with the Resource Conflict Graph model. J. Rail Transp. Plan. Manag. 15: 100173 (2020)
2010 – 2019
- 2018
- [j7]Sabrina Herrigel, Marco Laumanns, Jácint Szabó, Ulrich Weidmann:
Periodic railway timetabling with sequential decomposition in the PESP model. J. Rail Transp. Plan. Manag. 8(Issues): 167-183 (2018) - 2016
- [c1]Ambra Toletti, Valerio De Martinis, Ulrich Weidmann:
Energy savings in mixed rail traffic rescheduling: an RCG approach. ITSC 2016: 2430-2435 - 2015
- [j6]Olga Fink, Enrico Zio, Ulrich Weidmann:
Fuzzy Classification With Restricted Boltzman Machines and Echo-State Networks for Predicting Potential Railway Door System Failures. IEEE Trans. Reliab. 64(3): 861-868 (2015) - [j5]Olga Fink, Enrico Zio, Ulrich Weidmann:
A Classification Framework for Predicting Components' Remaining Useful Life Based on Discrete-Event Diagnostic Data. IEEE Trans. Reliab. 64(3): 1049-1056 (2015) - 2014
- [j4]Olga Fink, Enrico Zio, Ulrich Weidmann:
Quantifying the reliability of fault classifiers. Inf. Sci. 266: 65-74 (2014) - [j3]Olga Fink, Enrico Zio, Ulrich Weidmann:
Predicting component reliability and level of degradation with complex-valued neural networks. Reliab. Eng. Syst. Saf. 121: 198-206 (2014) - 2013
- [j2]Olga Fink, Enrico Zio, Ulrich Weidmann:
Predicting time series of railway speed restrictions with time-dependent machine learning techniques. Expert Syst. Appl. 40(15): 6033-6040 (2013) - 2011
- [j1]Bernhard Alt, Ulrich Weidmann:
A stochastic multiple area approach for public transport network design. Public Transp. 3(1): 65 (2011)
Coauthor Index
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