Proceedings of the ML4H workshop at NeurIPS, 2018.
Designing Visualisation Enhancements for SIEM Systems (Inproceedings)
15th IEEE Symposium on Visualization for Cyber Security – VizSec, 2018.
Efficient Decentralized Deep Learning by Dynamic Model Averaging (Inproceedings)
Machine Learning and Knowledge Discovery in Databases, Springer, Forthcoming.
Machine Learning für die smarte Produktion (Journal Article)
VDMA-Nachrichten, pp. 36-37, 2017.
Effective Parallelisation for Machine Learning (Inproceedings)
Advances in Neural Information Processing Systems, pp. 6480–6491, 2017.
Co-regularised support vector regression (Inproceedings)
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 338–354, Springer 2017.
Issues in Complex Event Processing: Status and Prospects in the Big Data Era (Journal Article)
Journal of Systems and Software, 2016.
Parallelizing Randomized Convex Optimization (Workshop)
Proceedings of the 8th NIPS Workshop on Optimization for Machine Learning, 2015.
Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features (Inproceedings)
Proceedings of the SIAM International Conference on Data Mining, pp. 641–649, SIAM 2014.
Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization (Inproceedings)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD), Springer 2014.
Adaptive Communication Bounds for Distributed Online Learning (Workshop)
Proceedings of the 7th NIPS Workshop on Optimization for Machine Learning, 2014.
Privacy-preserving mobility monitoring using sketches of stationary sensor readings (Inproceedings)
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 370–386, Springer 2013.
Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features (Workshop)
2013 IEEE 13th International Conference on Data Mining Workshops, IEEE 2013.
Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations. (Workshop)
First Internation Workshop on Big Dynamic Distributed Data (BD3) at the Internation Conference on Very Large Data Bases (VLDB), 2013.
STONES: Stochastic Technique for Generating Songs (Workshop)
Proceedings of the NIPS Workshop on Constructive Machine Learning (CML), 2013.
co-regularization corresponding projections decentralized deep learning DiSIEM distributed federated learning industry 4.0 machine learning parallelization radon SIEM smart production transfer learning unsupervised visual analytics visualization