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
100332
Title
Citations
PageRank
Year
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.50.402018
Towards Distributed Pairwise Ranking using Implicit Feedback.00.342018
Finding Hierarchy of Topics from Twitter Data.00.342017
Automatic Frankensteining: Creating Complex Ensembles Autonomously.10.412017
Learning DTW-Shapelets for Time-Series Classification.70.512016
Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization.30.392016
Latent Time-Series Motifs.60.472016
Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream.00.342016
Hyperparameter Optimization Machines00.342016
Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression60.552016
Bank Card Usage Prediction Exploiting Geolocation Information.10.362016
Scalable Hyperparameter Optimization with Products of Gaussian Process Experts.30.382016
Sequential Model-Free Hyperparameter Tuning50.452015
Hyperparameter Optimization with Factorized Multilayer Perceptrons70.462015
Learning Data Set Similarities for Hyperparameter Optimization Initializations.10.352015
Optimal Time-Series Motifs00.342015
Learning hyperparameter optimization initializations80.472015
Hyperparameter Search Space Pruning – A New Component for Sequential Model-Based Hyperparameter Optimization80.492015
Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons00.342015
Learning time-series shapelets381.182014
Event Prediction in Pharyngeal High-Resolution Manometry00.342013