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NICOLAS SCHILLING
Author Info
Open Visualization
Name
Affiliation
Papers
NICOLAS SCHILLING
Univ Hildesheim, Informat Syst & Machine Learning Lab, Samelsonpl 22, D-31141 Hildesheim, Germany
21
Collaborators
Citations
PageRank
11
99
9.24
Referers
Referees
References
273
332
299
Search Limit
100
332
Publications (21 rows)
Collaborators (11 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.
5
0.40
2018
Towards Distributed Pairwise Ranking using Implicit Feedback.
0
0.34
2018
Finding Hierarchy of Topics from Twitter Data.
0
0.34
2017
Automatic Frankensteining: Creating Complex Ensembles Autonomously.
1
0.41
2017
Learning DTW-Shapelets for Time-Series Classification.
7
0.51
2016
Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization.
3
0.39
2016
Latent Time-Series Motifs.
6
0.47
2016
Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream.
0
0.34
2016
Hyperparameter Optimization Machines
0
0.34
2016
Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression
6
0.55
2016
Bank Card Usage Prediction Exploiting Geolocation Information.
1
0.36
2016
Scalable Hyperparameter Optimization with Products of Gaussian Process Experts.
3
0.38
2016
Sequential Model-Free Hyperparameter Tuning
5
0.45
2015
Hyperparameter Optimization with Factorized Multilayer Perceptrons
7
0.46
2015
Learning Data Set Similarities for Hyperparameter Optimization Initializations.
1
0.35
2015
Optimal Time-Series Motifs
0
0.34
2015
Learning hyperparameter optimization initializations
8
0.47
2015
Hyperparameter Search Space Pruning – A New Component for Sequential Model-Based Hyperparameter Optimization
8
0.49
2015
Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons
0
0.34
2015
Learning time-series shapelets
38
1.18
2014
Event Prediction in Pharyngeal High-Resolution Manometry
0
0.34
2013
1