Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations. - Andre Gensler; Thiemo Gruber; Bernhard Sick (ICDM Workshops, 2013)

Temporal data analytics based on eigenmotif and shape space representations of time series. - Andre Gensler; Bernhard Sick; Jens Willkomm (ChinaSIP, 2014)

Location based learning of user behavior for proactive recommender systems in car comfort functions. - Thomas Stone; Olga Birth; Andre Gensler; Andreas Huber; Martin Jänicke; Bernhard Sick (GI-Jahrestagung, 2014)

Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks. - Michael Goldhammer; Konrad Doll; Ulrich Brunsmann; Andre Gensler; Bernhard Sick (ICPR, 2014)

Novel Criteria to Measure Performance of Time Series Segmentation Techniques. - Andre Gensler; Bernhard Sick (LWA, 2014)

Fast Feature Extraction for Time Series Analysis Using Least-Squares Approximations with Orthogonal Basis Functions. - Andre Gensler; Thiemo Gruber; Bernhard Sick (TIME, 2015)

Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation. - Andre Gensler; Bernhard Sick (IJCNN, 2016)

Deep Learning for solar power forecasting - An approach using AutoEncoder and LSTM Neural Networks. - Andre Gensler; Janosch Henze; Bernhard Sick; Nils Raabe (SMC, 2016)

An analog ensemble-based similarity search technique for solar power forecasting. - Andre Gensler; Bernhard Sick; Vitali Pankraz (SMC, 2016)

A review of deterministic error scores and normalization techniques for power forecasting algorithms. - Andre Gensler; Bernhard Sick; Stephan Vogt (SSCI, 2016)

Probabilistic wind power forecasting: A multi-scheme ensemble technique with gradual coopetitive soft gating. - Andre Gensler; Bernhard Sick (SSCI, 2017)

Coopetitive Soft Gating Ensemble. - Jens Schreiber; Maarten Bieshaar; Andre Gensler; Bernhard Sick; Stephan Deist (FAS*W@SASO/ICAC, 2018)

Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria. - Andre Gensler; Bernhard Sick (Pattern Anal. Appl., 2018)

Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets. - Maarten Bieshaar; Jens Schreiber; Stephan Vogt; André Gensler; Bernhard Sick (CoRR, 2020)