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References
Yukawa, Masahiro; Müller, Klaus-Robert
Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels?
In: IEEE SIGNAL PROCESSING LETTERS, 2 3(10):1424 - 1428
2016
Xu, Chen; Holzmer, Marcus; Kaul, Manohar; Markl, Volker
Efficient Fault-tolerance for Iterative Graph Processing on Distributed Dataflow Systems
In: 32nd IEEE International Conference on Data Engineering (ICDE)
2016
Vidovic, Marina M.-C.; Görnitz, Nico; Müller, Klaus R; Kloft, Marius
Feature Importance Measure for Non-linear Learning Algorithms
Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems,
November 2016
Verbitskiy, Ilya; Thamsen, Lauritz; Kao, Odej
When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink.
International IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), IEEE
2016
Treder, Matthias S.; Porbadnigk, Anne K.; Forooz, Shahbazi; Müller, Klaus-Robert; Blankertz, Benjamin
The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis
In: NeuroImage, 1 2 9:279 - 291
2016
Thamsen, Lauritz; Verbitskiy, Ilya; Schmdt, Florian; Renner, Thomas; Kao, Odej
Selecting Resources for Distributed Dataflow Systems According to Runtime Targets.
In the Proceddings of IEEE 35th International Performance Computing and Communications Conference (IPCCC).
2016
Thamsen, Lauritz; Renner, Thomas; Kao, Odej
Continuously Improving the Resource Utilization of Iterative Parallel Dataflows.
In the Proceedings of the IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW). Presented at the International Workshop on Big Data and Cloud Performance (DCPerf). IEEE.
2016
Thamsen, Lauritz; Renner, Thomas; Byfeld, Marvin; Paeschke, Markus; Schröder, Daniel; Böhm, Felix
Visually Programming Dataflows for Distributed Data Analytics.
In the Proceddings of IEEE International Conference on Big Data (Big Data).
2016
Schmidtke, Robert; Laubender, Guido; Steinke, Thomas
Big Data Analytics on Cray XC Series DataWarp using Hadoop, Spark and Flink
In: Cray User Group (CUG) 2016 Proceedings
2016
Sannelli, C.; Vidaurre, C.; Müller, K. R.; Blankertz, B.
Ensembles of adaptive spatial filters increase BCI performance: an online evaluation.
In: Journal of neural engineering, 13(4), 046003
2016
Samek, Wojciech; Blythe, Duncan A. J.; Curio, Gabriel; Müller, Klaus-Robert; Blankertz, Benjamin; Nikulin, Vadim V.
Multiscale temporal neural dynamics predict performance in a complex sensorimotor task
In: NeuroImage, 141:291 - 303
2016
Renner, Thomas; Thamsen, Lauritz; Kao, Odej
CoLoc: Distributed Data and Container Colocation for Data-Intensive Applications.
. In the Proceddings of IEEE International Conference on Big Data (Big Data).
2016
Pronobis, W.; Panknin, D.; Kirschnik, J.; Srinivasan, V.; Samek, w.; Markl, V.; Kaul, M.; Müller, K.-R.; Nakajima, S
Sharing Hash Codes for Multiple Purpose.
Pronobis et al., arXiv:1609.03219,
2016
Nakajima, S.; Tomioka, R.; Sugiyama, M.; Babacan, S. D.
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA.
In: Journal of Machine Learning Research, 16(3): 3757-3811,
2016
Min, B. K.; Dähne, S.; Ahn, M. H.; Noh, Y. K.; Müller, K. R.
Decoding of top-down cognitive processing for SSVEP-controlled BMI.
In: Sci. Rep. 6, 36267,
2016
Lapuschkin, S.; Binder, A.; Montavon, G.; Müller, K. R.; Samek, w.
Analyzing classifiers: fisher vectors and deep neural networks.
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , page 2912-2920.
2016
Lapuschkin, Sebastian; Binder, Alexander; Montavon, Grégoire; Müller, Klaus-Robert; Samek, Wojciech
The LRP Toolbox for Artificial Neural Networks
In: Journal of Machine Learning Research, 17(114):1 -5
2016
Krause, S.; Xu, F.; Uszkoreit, H.; Weißenborn, D.
Event Linking with Sentential Features from Convolutional Neural Networks.
In: Proceedings of CoNLL, Association for Computational Linguistics
2016
Krause, Sebastian; Hennig, Leonhard; Moro, Andrea; Weissenborn, Dirk; Xu, Feiyu; Uszkoreit, Hans; Navigli, Roberto
Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs.
In: K, Journal of Web Semantics: Science, Services and Agents on the World Wide Web,
2016
Koltai, P.; Ciccotti, G.; Schütte, Ch.
On Markov state models for non-equilibrium molecular dynamics.
In: The Journal of Chemical Physics 145, 174103,
2016

Note: (Editors' Choice of The Journal of Chemical Physics)

Kindermans, Pieter-Jan; Schütt, Kristof T.; Müller, Klaus R.; Dähne, Sven
Investigating the influence of noise and distractors on the interpretation of neural networks
Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems,
November 2016
Jugel, U.; Jerzak, Z.; Markl, V.
Big data on a few pixels.
In: IEEE International Conference on Big Data (Big Data) , page 895-900.
2016
Jugel, U.; Jerzak, Z.; Hackenbroich, G.; Markl, V.
VDDA: automatic visualization-driven data aggregation in relational databases
In: VLDB J. 25(1): 53-77,
2016

Note: (VLDB Best Paper Award)

Höhne, Johannes; Bartz, Daniel; Hebart, Martin N.; Müller, Klaus-Robert; Blankertz, Benjamin
Analyzing neuroimaging data with subclasses: a shrinkage approach
NeuroImage, 1 2 4::740 - 751
2016
Herb, Tobias; Thamsen, Lauritz; Renner, Thomas; Kao, Odej
Aura: A Flexible Dataflow Engine for Scalable Data Processing.
in Andreas Knüpfer, Tobias Hilbrich, Christoph Niethammer, José Gracia, Wolfgang E. Nagel, Michael M. Resch (eds.), Tools for High Performance Computing 2015. Springer.
2016
Hennig, L.; Thomas, Ph.; Ai, R.; Kirschnick, J.; Wang, H.; Pannier, J.; Zimmermann, N.; Schmeier, S.; Xu, F.; Ostwald, J.; Uszkoreit, H.
Real-Time Discovery and Geospatial Visualization of Mobility and Industry Events from Large-Scale, Heterogeneous Data Streams.
In: Proceedings of ACL
2016
Gül, S.; Meyer, J. T.; Hellge, C.; Schierl, Th.; Samek, w.
Hybrid Video Object Tracking in H.265/HEVC Video Streams.
In: Proceedings of the International Workshop on Multimedia Signal Processing (MMSP), 1-5
2016
Ghiringhelli, L. M.; Carbogno, C.; Levchenko, S.; Mohamed, F.; Huhs, G.; Lueders, M.; Oliveira, M.; Scheffler,, M.
Towards a Common Format for Computational Materials Science Data.
Published as: "?k Scientific Highlight of the Month", 131,
2016
Gabryszak, Aleksandra; Krause, Sebastian; Hennig, Leonhard; Xu, Feiyu; Uszkoreit, Hans
Relation- and phrase-level linking of FrameNet with Sar-graphs.
In: The 10th International Conference on Language Resources and Evaluation, LREC
2016
Fuerst, Carlo; Schmid, Stefan; Suresh, Lalith; Costa, Paolo
Kraken: Online and Elastic Resource Reservations for Multitenant Datacenters.
Proc. 35th IEEE Conference on Computer Communications (INFOCOM),,
2016
Fuerst, Carlo; Schmid, Stefan; Suresh, Lalith; Costa, Paolo
Kraken: Online and Elastic Resource Reservations for Multitenant Datacenters.
Proc. 35th IEEE Conference on Computer Communications (INFOCOM).
2016
Fajerski, J.; Noack, M.; Reinefeld, A.; Schintke, F.; Steinke, Th.
Fast In-Memory Checkpointing with POSIX API for Legacy Exascale-Applications.
H.J. Bungartz, P. Neumann, W.E. Nagel (Eds): Software for Exascale Computing, 2013-2015, Springer Lecture Notes in Computational Science and Engineering, 113: 427-441,
2016
Eichler, Kathrin; Xu, Feiyu; Uszkoreit, Hans; Hennig, Leonhard; Krause, Sebastian
TEG-REP: A corpus of Textual Entailment Graphs based on Relation Extraction Patterns.
In: The 10th International Conference on Language Resources and Evaluation, LREC
2016
Bosse, S.; Maniry, D.; Wiegand, Th.; Samek, w.
A Deep Neural Network for Image Quality Assessment.
In: Proceedings of the IEEE International Conference on Image Processing (ICIP) , page 3773-77.
2016
Bosse, S.; Maniry, D.; Müller, K.-R.; Wiegand, Th.; Samek, w.
Neural Network-Based Full-Reference Image Quality Assessment.
In: Proceedings of the Picture Coding Symposium (PCS), 1-5 , page 3773-77.
2016
Bosse, S.; Chen, Q.; Siekmann, M.; Samek, w.; Wiegand, Th.
Shearlet-based reduced reference image quality assessment.
In: IEEE International Conference on Image Processing (ICIP)
2016
Blythe, Duncan A. J.; Nikulin, Vadim V.; Müller, Klaus-Robert
Robust Statistical Detection of Power-Law Cross-Correlation
Scientific reports, 6:27089
2016
Binder, Alexander; Bach, Sebastian; Montavon, Grégoire; Müller, Klaus-Robert; Samek, Wojciech
Layer-Wise Relevance Propagation for Deep Neural Network Architectures
In: Information Science and Applications (ICISA), 9 13 - 922., :913 - 922
2016
Bauer, Alexander; Nakajima, Shinichi; Müller, K. R.
Efficient Exact Inference With Loss Augmented Objective in Structured Learning.
IEEE transactions on neural networks and learning systems Volume PP, no. 99 , page 1 - 14.
August 2016
Arbabzadah, Farhad; Montavon, Grégoire; Müller, Klaus-Robert; Samek, Wojciech
Identifying individual facial expressions by deconstructing a neural network
In: German Conference on Pattern Recognition , page 344 - 354.
Springer International Publishing
2016
Alexandrov, A.; Salzmann, A.; Krastev, G.; Katsifodimos, A.; Markl, V.
Emma in Action: Declarative Dataflows for Scalable Data Analysis.
In: SIGMOD Volume Record 45(1) , page 51-58.
2016
Alber, Maximilian; Zimmert, Julian; Dogan, Urun; Kloft, Marius
Distributed Optimization of Multi-Class SVMs
Extreme Classification NIPS 2016 Workshop,
November 2016
Abedjan, Z.:; Chu,, X.; Deng, D.; Fernandez, R.; Ilyas, R.; Ouzzani, I.; Papotti, M.; Stonebraker, M.; Tang, N.
Detecting Data Errors: Where are we and What needs to be done?
PVLDB 9(12):993-1004,
2016