Andre Gensler

14 papers B 4C 1Journal 2Unranked 7
YearRankTypeTitle / Venue / Authors
2018 — conf
Coopetitive Soft Gating Ensemble.
FAS*W@SASO/ICAC
Jens Schreiber, Maarten Bieshaar, Andre Gensler, Bernhard Sick, Stephan Deist
2018 J jnl
Coopetitive Soft Gating Ensemble.
CoRR
Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick
2018 J jnl
Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria.
Pattern Anal. Appl.
Andre Gensler, Bernhard Sick
2017 — conf
Probabilistic wind power forecasting: A multi-scheme ensemble technique with gradual coopetitive soft gating.
SSCI
Andre Gensler, Bernhard Sick
2016 — conf
A review of deterministic error scores and normalization techniques for power forecasting algorithms.
SSCI
Andre Gensler, Bernhard Sick, Stephan Vogt
2016 B conf
An analog ensemble-based similarity search technique for solar power forecasting.
SMC
Andre Gensler, Bernhard Sick, Vitali Pankraz
2016 B conf
Deep Learning for solar power forecasting - An approach using AutoEncoder and LSTM Neural Networks.
SMC
Andre Gensler, Janosch Henze, Bernhard Sick, Nils Raabe
2016 B conf
Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation.
IJCNN
Andre Gensler, Bernhard Sick
2015 C conf
Fast Feature Extraction for Time Series Analysis Using Least-Squares Approximations with Orthogonal Basis Functions.
TIME
Andre Gensler, Thiemo Gruber, Bernhard Sick
2014 — conf
Location based learning of user behavior for proactive recommender systems in car comfort functions.
GI-Jahrestagung
Thomas Stone, Olga Birth, Andre Gensler, Andreas Huber, Martin Jänicke, Bernhard Sick
2014 — conf
Novel Criteria to Measure Performance of Time Series Segmentation Techniques.
LWA
Andre Gensler, Bernhard Sick
2014 B conf
Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks.
ICPR
Michael Goldhammer, Konrad Doll, Ulrich Brunsmann, Andre Gensler, Bernhard Sick
2014 — conf
Temporal data analytics based on eigenmotif and shape space representations of time series.
ChinaSIP
Andre Gensler, Bernhard Sick, Jens Willkomm
2013 — conf
Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations.
ICDM Workshops
Andre Gensler, Thiemo Gruber, Bernhard Sick