Martin Wistuba  Martin Wistuba photo       

contact information

Research Staff Member - AI and Machine Learning
Ireland Research Lab, Dublin, Ireland

links



2017

Automatic Frankensteining: Creating Complex Ensembles Autonomously
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Proceedings of the SIAM International Conference on Data Mining (SDM), pp. 741-749, 2017

Personalized Deep Learning for Tag Recommendation
Hanh T. H. Nguyen, Martin Wistuba, Josif Grabocka, Lucas Rego Drumond and Lars Schmidt-Thieme
Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference (PAKDD), pp. 186-197, 2017


2016

Scalable Hyperparameter Optimization with Products of Gaussian Process Experts
Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), pp. 33-48, 2016

Bank Card Usage Prediction Exploiting Geolocation Information
Martin Wistuba, Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme
arXiv preprint arXiv:1610.03996, 2016

Learning DTW-shapelets for Time-Series Classification
Mit Shah, Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
Proceedings of the 3rd IKDD Conference on Data Science, pp. 1-8, 2016

Fast Classification of Univariate and Multivariate Time Series through Shapelet Discovery
Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme
Knowledge and Information Systems 49(2), 429-454, Springer, 2016

Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), pp. 199-214, 2016

Hyperparameter Optimization Machines
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 41-50, 2016


2015

Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons
Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 72-79, 2015

Geo_ML @ MediaEval Placing Task 2015
Nghia Duong-Trung, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
Working Notes Proceedings of the MediaEval 2015 Workshop

Learning Data Set Similarities for Hyperparameter Optimization Initializations.
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
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, pp. 15-26

Scalable Classification of Repetitive Time Series through Frequencies of Local Polynomials
Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme
IEEE Transactions on Knowledge and Data Engineering 27(6), 1683-1695, IEEE, 2015

Sequential Model-Free Hyperparameter Tuning
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
IEEE International Conference on Data Mining (ICDM), pp. 1033-1038, 2015

Learning Hyperparameter Optimization Initializations
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 1-10, 2015

Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), pp. 104-119, 2015

Scalable Discovery of Time-Series Shapelets
Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme
arXiv preprint arXiv:1503.03238, 2015

Hyperparameter Optimization with Factorized Multilayer Perceptrons
Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), pp. 87-103, 2015

Ultra-fast Shapelets for Time Series Classification
Martin Wistuba, Josif Grabocka, Lars Schmidt-Thieme
arXiv preprint arXiv:1503.05018, 2015


2014

Minimal Invasive Integration of Learning Analytics Services in Intelligent Tutoring Systems
Carlotta Schatten, Martin Wistuba, Lars Schmidt-Thieme, Sergio Gutirrez-Santos
IEEE 14th International Conference on Advanced Learning Technologies (ICALT), pp. 746-748, 2014

Learning Time-Series Shapelets
Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 392-401, 2014


2013

Time-series Classification through Histograms of Symbolic Polynomials
Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme
arXiv preprint arXiv:1307.6365, 2013

Supervised Clustering of Social Media Streams
Martin Wistuba, Lars Schmidt-Thieme
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop

Factorized Decision Trees for Active Learning in Recommender Systems
Rasoul Karimi, Martin Wistuba, Alexandros Nanopoulos, Lars Schmidt-Thieme
IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 404-411, 2013

Move Prediction in Go Modelling Feature Interactions using Latent Factors
Martin Wistuba, Lars Schmidt-Thieme
KI 2013: Advances in Artificial Intelligence - 36th Annual German Conference on AI, pp. 260-271


2012

Comparison of Bayesian Move Prediction Systems for Computer Go
Martin Wistuba, Lars Schäfers, Marco Platzner
IEEE Conference on Computational Intelligence and Games (CIG), pp. 91-99, 2012