Continuous Development and Safety Assurance Pipeline for ML-Based Systems in the Railway Domain - Marc Zeller; Thomas Waschulzik; Carmen Carlan; Marat Serahlazau; Claus Bahlmann; Zhiliang Wu; Sigurd Spieckermann; Denis Krompass; Simon Geerkens; Christian Sieberichs; Konstantin Kirchheim; Batu Kaan Özen; et al. (Computer Safety, Reliability, and Security. SAFECOMP 2024 Workshops - DECSoS, SASSUR, TOASTS, and WAISE, Florence, Italy, September 17, 2024, Proceedings, 2024)

Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks - Stephan Baier; Sigurd Spieckermann; Volker Tresp (25th European Symposium on Artificial Neural Networks, ESANN 2017, Bruges, Belgium, April 26-28, 2017, 2017)

Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks - Stephan Baier; Sigurd Spieckermann; Volker Tresp (CoRR, 2017)

Theano: A Python framework for fast computation of mathematical expressions - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

Multi-Task and Transfer Learning with Recurrent Neural Networks - Sigurd Spieckermann (Technical University Munich, 2015)

Exploiting similarity in system identification tasks with recurrent neural networks - Sigurd Spieckermann; Siegmund Düll; Steffen Udluft; Alexander Hentschel; Thomas A. Runkler (Neurocomputing, 2015)

Exploiting similarity in system identification tasks with recurrent neural networks - Sigurd Spieckermann; Siegmund Düll; Steffen Udluft; Alexander Hentschel; Thomas A. Runkler (22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014, 2014)

Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning - Sigurd Spieckermann; Siegmund Düll; Steffen Udluft; Thomas A. Runkler (Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings, 2014)