Pattern recognition and classification for multivariate time series S Spiegel, J Gaebler, A Lommatzsch, E De Luca, S Albayrak Proceedings of the fifth international workshop on knowledge discovery from …, 2011 | 73 | 2011 |

Link prediction on evolving data using tensor factorization S Spiegel, J Clausen, S Albayrak, J Kunegis Pacific-Asia conference on knowledge discovery and data mining, 100-110, 2011 | 59 | 2011 |

Hydra: a hybrid recommender system [cross-linked rating and content information] S Spiegel, J Kunegis, F Li Proceedings of the 1st ACM international workshop on Complex networks meet …, 2009 | 42 | 2009 |

Approximation of diagonal line based measures in recurrence quantification analysis D Schultz, S Spiegel, N Marwan, S Albayrak Physics Letters A 379 (14-15), 997-1011, 2015 | 26 | 2015 |

A recurrence plot-based distance measure S Spiegel, JB Jain, S Albayrak Translational Recurrences, 1-15, 2014 | 19 | 2014 |

Fast time series classification under lucky time warping distance S Spiegel, BJ Jain, S Albayrak Proceedings of the 29th Annual ACM Symposium on Applied Computing, 71-78, 2014 | 18 | 2014 |

A hybrid approach to recommender systems based on matrix factorization S Spiegel Department for Agent Technologies and Telecommunications, Technical …, 2009 | 17 | 2009 |

Cost-sensitive learning for predictive maintenance S Spiegel, F Mueller, D Weismann, J Bird arXiv preprint arXiv:1809.10979, 2018 | 15 | 2018 |

Energy disaggregation meets heating control S Spiegel, S Albayrak Proceedings of the 29th Annual ACM Symposium on Applied Computing, 559-566, 2014 | 14 | 2014 |

Pattern recognition in multivariate time series: dissertation proposal S Spiegel, BJ Jain, EW De Luca, S Albayrak Proceedings of the 4th workshop on Workshop for Ph. D. students in …, 2011 | 14 | 2011 |

An order-invariant time series distance measure S Spiegel, S Albayrak KDIR. SciTePress Digital Library, 2012 | 11 | 2012 |

Transfer learning for time series classification in dissimilarity spaces S Spiegel Proceedings of AALTD, 78, 2016 | 9 | 2016 |

Dimension Reduction in Dissimilarity Spaces for Time Series Classification B Jain, S Spiegel Advanced Analysis and Learning on Temporal Data (DOI: 10.1007/978-3-319 …, 2016 | 9 | 2016 |

Time series classification using compressed recurrence plots T Michael, S Spiegel, S Albayrak Proceedings of ECML-PKDD, 2015 | 9 | 2015 |

Discovery of driving behavior patterns S Spiegel Smart Information Systems, 315-343, 2015 | 9 | 2015 |

MediaEval 2011 Affect Task: Violent Scene Detection combining audio and visual Features with SVM. E Acar, S Spiegel, S Albayrak, DAI Labor MediaEval, 2011 | 8 | 2011 |

Approximate recurrence quantification analysis (aRQA) in code of best practice S Spiegel, D Schultz, N Marwan Recurrence Plots and Their Quantifications: Expanding Horizons, 113-136, 2016 | 6 | 2016 |

Time Series Classification in Dissimilarity Spaces. BJ Jain, S Spiegel AALTD@ PKDD/ECML, 2015 | 5 | 2015 |

Optimization of in-house energy demand S Spiegel Smart Information Systems, 271-289, 2015 | 5 | 2015 |

Time series distance measures: segmentation, classification, and clustering of temporal data S Spiegel | 4 | 2015 |