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Andre Gensler
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2020 – today
- 2020
- [i2]Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick:
Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets. CoRR abs/2010.05898 (2020)
2010 – 2019
- 2018
- [j1]Andre Gensler, Bernhard Sick:
Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria. Pattern Anal. Appl. 21(2): 543-562 (2018) - [c12]Jens Schreiber, Maarten Bieshaar, Andre Gensler, Bernhard Sick, Stephan Deist:
Coopetitive Soft Gating Ensemble. FAS*W@SASO/ICAC 2018: 190-197 - [i1]Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick:
Coopetitive Soft Gating Ensemble. CoRR abs/1807.01020 (2018) - 2017
- [c11]Andre Gensler, Bernhard Sick:
Probabilistic wind power forecasting: A multi-scheme ensemble technique with gradual coopetitive soft gating. SSCI 2017: 1-10 - 2016
- [c10]Andre Gensler, Bernhard Sick:
Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation. IJCNN 2016: 4976-4984 - [c9]Andre Gensler, Bernhard Sick, Vitali Pankraz:
An analog ensemble-based similarity search technique for solar power forecasting. SMC 2016: 2850-2857 - [c8]Andre Gensler, Janosch Henze, Bernhard Sick, Nils Raabe:
Deep Learning for solar power forecasting - An approach using AutoEncoder and LSTM Neural Networks. SMC 2016: 2858-2865 - [c7]Andre Gensler, Bernhard Sick, Stephan Vogt:
A review of deterministic error scores and normalization techniques for power forecasting algorithms. SSCI 2016: 1-9 - 2015
- [c6]Andre Gensler, Thiemo Gruber, Bernhard Sick:
Fast Feature Extraction for Time Series Analysis Using Least-Squares Approximations with Orthogonal Basis Functions. TIME 2015: 29-37 - 2014
- [c5]Andre Gensler, Bernhard Sick, Jens Willkomm:
Temporal data analytics based on eigenmotif and shape space representations of time series. ChinaSIP 2014: 753-757 - [c4]Thomas Stone, Olga Birth, Andre Gensler, Andreas Huber, Martin Jänicke, Bernhard Sick:
Location based learning of user behavior for proactive recommender systems in car comfort functions. GI-Jahrestagung 2014: 2121-2132 - [c3]Michael Goldhammer, Konrad Doll, Ulrich Brunsmann, Andre Gensler, Bernhard Sick:
Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks. ICPR 2014: 4110-4115 - [c2]Andre Gensler, Bernhard Sick:
Novel Criteria to Measure Performance of Time Series Segmentation Techniques. LWA 2014: 193-204 - 2013
- [c1]Andre Gensler, Thiemo Gruber, Bernhard Sick:
Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations. ICDM Workshops 2013: 1002-1011
Coauthor Index
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