Andre Gensler

Orcid: 0000-0002-5462-712X

According to our database1, Andre Gensler authored at least 14 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets.
CoRR, 2020

2018
Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria.
Pattern Anal. Appl., 2018

Coopetitive Soft Gating Ensemble.
Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

2017
Probabilistic wind power forecasting: A multi-scheme ensemble technique with gradual coopetitive soft gating.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
A review of deterministic error scores and normalization techniques for power forecasting algorithms.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An analog ensemble-based similarity search technique for solar power forecasting.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Deep Learning for solar power forecasting - An approach using AutoEncoder and LSTM Neural Networks.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Fast Feature Extraction for Time Series Analysis Using Least-Squares Approximations with Orthogonal Basis Functions.
Proceedings of the 22nd International Symposium on Temporal Representation and Reasoning, 2015

2014
Novel Criteria to Measure Performance of Time Series Segmentation Techniques.
Proceedings of the 16th LWA Workshops: KDML, 2014

Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Location based learning of user behavior for proactive recommender systems in car comfort functions.
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014

Temporal data analytics based on eigenmotif and shape space representations of time series.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013
Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013


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