# Martin Wistuba

According to our database

Collaborative distances:

^{1}, Martin Wistuba authored at least 28 papers between 2012 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Automated Machine Learning - Bayesian Optimization, Meta-Learning & Applications.

PhD thesis, 2018

Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.

Machine Learning, 2018

Deep Learning Architecture Search by Neuro-Cell-Based Evolution with Function-Preserving Mutations.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Practical Deep Learning Architecture Optimization.

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Automatic Frankensteining: Creating Complex Ensembles Autonomously.

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Bayesian Optimization Combined with Successive Halving for Neural Network Architecture Optimization.

Proceedings of the International Workshop on Automatic Selection, 2017

Personalized Tag Recommendation for Images Using Deep Transfer Learning.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Multi-Plant Photovoltaic Energy Forecasting Challenge with Regression Tree Ensembles and Hourly Average Forecasts.

Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning, 2017

Personalized Deep Learning for Tag Recommendation.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016

Fast classification of univariate and multivariate time series through shapelet discovery.

Knowl. Inf. Syst., 2016

Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Scalable Hyperparameter Optimization with Products of Gaussian Process Experts.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Hyperparameter Optimization Machines.

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Learning DTW-Shapelets for Time-Series Classification.

Proceedings of the 3rd IKDD Conference on Data Science, 2016

2015

Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials.

IEEE Trans. Knowl. Data Eng., 2015

Learning Data Set Similarities for Hyperparameter Optimization Initializations.

Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Hyperparameter Optimization with Factorized Multilayer Perceptrons.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Geo_ML @ MediaEval Placing Task 2015.

Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons.

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Sequential Model-Free Hyperparameter Tuning.

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Learning hyperparameter optimization initializations.

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Learning time-series shapelets.

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Minimal Invasive Integration of Learning Analytics Services in Intelligent Tutoring Systems.

Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014

2013

Supervised Clustering of Social Media Streams.

Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

Move Prediction in Go - Modelling Feature Interactions Using Latent Factors.

Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013

Factorized Decision Trees for Active Learning in Recommender Systems.

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

2012

Comparison of Bayesian move prediction systems for Computer Go.

Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012