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References

2017

Traub, Jonas; Steenbergen, Nikolaas; Grulich, Philipp; Rabl, Tilmann; Markl, Volker
I²: Interactive Real-Time Visualization for Streaming Data
in Proc. 20th International Conference on Extending Database Technology (EDBT), March 21-24, 2017.
March 2017
Schütt, Kristof T.; Kindermans, Pieter-Jan,; Sauceda, Huziel E.; Chiemela, Stefan; Tkatchenko, Alexandre; Müller, Klaus-Robert
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Neural Information Processing Systems (NIPS)
2017
Schütt, Kristof T.; Arbabzadah, Farhad; Chmiela, Stefan; Müller, Klaus R.; Tkatchenko, Alexandre
Quantum-chemical insights from deep tensor neural networks
In: Nature Communications 8,
January 2017
Rohrmann, Till; Schelter, Sebastian; Rabl, Tilmann; Markl, Volker
Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems
in BTW 2017 (pp. 269-288)
March 2017
Renner, Thomas; Müller, Johannes; Thamsen, Lauritz; Kao, Odej
Addressing Hadoop's Small File Problem With an Appendable Archive File Format.
In the Proceedings of the Computing Frontiers Conference (CF).
2017
Montavon, Grégoire; Samek, Wojciech; Müller, Klaus-Robert
Methods for interpreting and understanding deep neural networks
Digital Signal Processing February 2018, Vol. 73,:1-15
2017
Kunft, Andreas; Katsifodimos, Asterios; Schelter, Sebastian; Rabl, Tilmann; Mark, Volker
BlockJoin: Efficient Matrix Partitioning Through Joins
Proceedings of the VLDB Endowment (PVLDB) Volume 10
2017
Kiefer, Martin; Heimel, Max; Breß, Sebastian; Markl, Volker
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models
Proceedings of the VLDB Endowment (PVLDB) Volume 10
2017
Gupta, P.; Gramatke, A.; Einspanier, R.; Schütte, M.; von Kleist, M.; Sharbati, J.
In silico cytotoxicity assessment on cultured rat intestinal cells deduced from cellular impedance measurement.
Accepted for: Toxicology in Vitro,
2017
Gornitz, N.; Lima, L. A.; Müller, K. R.; Kloft, M.; Nakajima, S.
Support Vector Data Descriptions and K-means Clustering: One Class?
IEEE Transactions on Neural Networks and Learning Systems, Volume: PP, Issue: 99,:1 - 13
2017
Goldsmith, B. R.; Boley, M.; Vreeken, J.; Scheffler, M.; Ghiringhelli, L. M.
Uncovering structure-property relationships of materials by subgroup discovery.
In: New J. Phys. 19: 013031,
2017
Giotsas, V.; Smaragdakis, G.; Feldmann, A.; Berger, A.; Aben, E.
Detecting Peering Infrastructure Outages in the Wild.
In: ACM SIGCOMM
2017
Ghiringhelli, L. M.; Vybiral, J.; Ahmetcik, E.; Ouyang, R.; Levchenko,, S. V.; Draxl, C.; Scheffler, M.
Learning physical descriptors for materials science by compressed sensing.
In: New J. Phys. 19: 023017,
2017
Gelß, P.; Klus, S.; Matera, S.; Schütte, Ch.
Nearest-Neighbor Interaction Systems in the Tensor Train Format.
Accepted for: J. Comp. Physics,
2017
Feldmann, Anja; Hauswirth, M.; Markl, V.
Enabling Wide Area Data Analytics with CDPPs (Collaborative Distributed Processing Pipelines.
In: IEEE Int. Conference on Distributed Computing Systems (IEEE ICDCS), Blue-Sky Ideas / Vison Track,
2017
Deng, D.; Fernandez, R.; Abedjan, Z.; Wang, S.; Stonebraker, S.; Elmagarmid, A.; Ilyas, I.; Madden, S.; Ouzzani, M.; Tang, N.
The Data Civilizer System.
In: CIDR
2017
Conrad, T.; Genzel, M.; Cvetkovic, N.; Wulkow, N.; Leichtle, A.; Vybiral, J.; Kutyniok, G.; Schütte, Ch.
Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data.
In: BMC Bioinformatics, 18(160),
2017
Chmiela, S.; Tkatchenko, A.; Sauceda, H. E.; Poltavsky, I.; Schütt, K. T.; Müller, K.-R.
Machine learning of accurate energy-conserving molecular force fields.
In: Science Advances, 3(5),
2017
Brockherde, F.; Vogt, L.; Li, L.; Tuckerman, M. E.; Burke, K.; Müller, K. R.
Bypassing the Kohn-Sham equations with machine learning
Nature Communications, 8(1), 872.,
2017
Bosse, S.; Maniry, D.; Müller, K. R.; Wiegand, Th.; Samek, w.
Deep neural networks for no-reference and full-reference image quality assessment
IEEE Transactions on Image Processing.
2017
Boley, M.; Goldsmith, B.; Ghiringhelli, L.; Vreeken, J.
Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery.
In: Data Mining and Knowledge Discovery 5(2017),
2017
Boden, Ch.; Spina, A.; Rabl, T.; Markl, V.
Benchmarking Data Flow Systems for Scalable Machine Learning.
In: BeyondMR@SIGMOD
2017
Bergen, E.; Edlich, St.
Post-Debugging in Large Scale Analytic Systems.
In: Datenbanksysteme für Business, Technologie und Web (BTW), Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS) , page 65-72.
2017
Alber, Maximilian; Zimmert, Julian; Dogan, Urun; Kloft, Marius
Distributed optimization of multi-class SVMs
PLOS ONE 12(6): e0178161,
2017
Alber, Maximilian; Kindermans, Pieter-Jan; Schütt, Kristof T.; Müller, Klaus-Robert; Sha, Fei
An Empirical Study on The Properties of Random Bases for Kernel Methods
Advances in Neural Information Processing Systems 30 (NIPS)
2017

2016

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

2015

Weißenborn, Dirk; Hennig, Leonhard; Xu, Feiyu; Uszkoreit, Hans
Multi-objective Optimization for the Joint Disambiguation of Nouns and Named Entities
In: 53nd Annual Meeting of the Association for Computational Linguistics, ACL , page 596-605.
2015
Weißenborn, Dirk; Xu, Feiyu; Uszkoreit, Hans
DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns & Deep Verb Sense Disambiguation
In: 9th International Workshop on Semantic Evaluations (SemVal2015)
2015
Rosenfeld, Viktor; Heimel, Max; Viebig, Christoph; Markl, Volker
The Operator Variant Selection Problem on Heterogeneous Hardware,
In: ADMS@VLDB, 2015. , page 1-12.
2015
Renner, Thomas; Thamsen, Lauritz; Kao, Odej
Network-Aware Resource Management for Scalable Data Analytics Frameworks.
In Proceedings of the First Workshop on Data-Centric Infrastructure for Big Data Science (DIBS) 2015, co-located with the 2015 IEEE International Conference on BigData (BigData). IEEE.
2015
Reinefeld, A.; Schütt, Ch.; Döbbelin, R.
Fast Memory Access for Data Intensive Applications.
In: Forschung im HLRN-Verbund 2015, Konrad-Zuse-Zentrum für Informationstechnik Berlin (Hrsg.): 304-305,
2015
Pujol, Enric; Hohlfeld, Oliver; Feldmann, Anja
Annoyed Users: Ads and Ad-Block Usage in the Wild.
In Proceedings of the 2015 Internet Measurement Conference (IMC '15), ACM, New York, NY, USA, :93-106
2015
Nakajima, S.; Tomioka, R.; Sugiyama, M.; Babacan, S.D.
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA,
Journal of Machine Learning Research, vol.16, pp.3757-3811
2015
Lohrmann, Björn; Janacik, Peter; Kao, Odej
Elastic Stream Processing with Latency Guarantees
In: IEEE 35th International Conference on Distributed Computing Systems (ICDCS) , page 399-410.
July 2015
Li, Hong; Krause, Sebastian; Xu, Feiyu; Moro, Andrea; Uszkoreit, Hans; Navigli, Roberto
Improvement of n-ary Relation Extraction by Adding Lexical Semantics to Distant-Supervision Rule Learning.
In: International Conference on Agents and Artificial Intelligence (ICAART)
2015
Krause, Sebastian; Hennig, Leonhard; Gabryszak, Aleksandra; Xu, Feiyu; Uszkoreit, Hans
Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language.
Workshop on Linked Data in Linguistics: Resources and Applications, co-located with the Annual Meeting of the Association for Computational Linguistics (LDL @ ACL),
2015
Krause, Sebastian; Alfonseca, Enrique; Filippova, Katja; Pighin, Daniele
Learning a Distributed Representation for Event Patterns.
In: IIdest. Conference of the North American Chapter of the ACL – Human Language Technologies (NAACL HLT)
2015
Herb, Tobias; Renner, Thomas; Kao, Odej
Aura: A Flexible Dataflow Engine for Scalable Data Processing.
In: Tools for High Performance Computing: 117-126,
2015
Hennig, Leonhard; Li, Hong; Krause, Sebastian; Xu, Feiyu; Uszkoreit, Hans
A Web-based Collaborative Evaluation Tool for Automatically Learned Relation Extraction Patterns.
Annual Meeting of the Association for Computational Linguistics (ACL), System Demonstrations,
2015
Hansen, S.T.; Winkler, I.; Hansen, L.K.; Müller, K.-R.; Dähne, S.
Fusing simultaneous EEG and fMRI using functional and anatomical information,
In International Workshop on Pattern Recognition in Neuroimaging, 2015. IEEE.
2015
Ghiringhelli, L.M.; Vybiral, J.; Levchenko, S.V.; Draxl, C.; Scheffler, M.
Big Data of Materials Science: Critical Role of the Descriptor,
Phys. Rev. Lett. 114 (10),
March 2015
Dudoladov, Sergey; Katsifodimos, Asterios; Xu, Chen; Ewen, Stephan; Markl, Volker; Schelter, Sebastian; Tzoumas, Kostas
Optimistic Recovery for Iterative Dataflows in Action.
In Proceedings of the 2015 ACM SIGMOD International conference on Management of Data (SIGMOD '15).
2015
Djurdjevac, C.; Banisch, R.; Schütte, Ch.
Modularity of Directed Networks: Cycle Decomposition Approach.
In: Journal of Computational Dynamics 2(1): 1-24,
2015
Dähne, S.; Goltz, D.; Gundlach, C.; Mehnert, J.; Villringer, A.; Haufe, S.; Müller, K.-R.
Multivariate Fusion of EEG oscillations and fMRI using multimodal Source Power Co-modulation (mSPoC),
In Annual Meeting of the Organization for Human Brain Mapping (OHBM).
2015
Carbone, P.; Katsifodimos, A.; Ewen, St.; Markl, V.; Haridi, S.; Tzoumas, K.
Apache Flink™: Stream and Batch Processing in a Single Engine.
In: IEEE Data Eng. Bull. 38(4),
2015
Bhattacharya, S.; Sonin, B.; Jumonville, C.J.; Ghiringhelli, L.M.; Marom, N.
Computational Design of Nanoclusters by Property-Based Genetic Algorithms: Tuning the Electronic Properties of (TiO2)n Clusters.
In: Phys. Rev. B 91, 241115.,
June 2015
Bergen, E.; Edlich, St.
Towards a Taxonomy for Error Management in Big Data Analytics Systems.
n: Proceedings of the Research Day 2015, Beuth University of Applied Sciences Berlin, :80-83
2015
Bauer, Alexander; Braun, Mikio; Müller, Klaus-Robert
Accurate Max-Margin Training for Parsing with Context-Free Grammars,
IEEE Transactions on Neural Networks and Learning Systems. Volume 28(1) , page 44-45.
2015
Bach, S.; Binder, A.; Montavon, G.; Klauschen, F.; Müller, K.-R.; Samek, w.
On Pixel-wise Explanations for Non-Linear Classifier Decisions by Layer-wise Relevance Propagation,
In: PLOS ONE 10(7),,
2015
Alexandrov, Alexander; Kunft, Andreas; Katsifodimos, Asterios; Schüler, Felix; Thamsen, Lauritz; Kao, Odej; Herb, Tobias; Markl, Volker
Implicit Parallelism through Deep Language Embedding
In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data (SIGMOD '15).
2015
Ai, Renlong; Krause, Sebastian; Kasper, Walter; Xu, Feiyu; Uszkoreit, Hans
Semi-automatic Generation of Multiple-Choice Tests from Mentions of Semantic Relations.
Workshop on Natural Language Processing Techniques for Educational Applications at the Annual Meeting of the Association for Computational Linguistics (NLP-TEA @ ACL),
2015

2014

Nakajima, S.; Sato, I.; Sugiyama, M.; Watanabe, K.; Kobayashi, H.
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity than MAP,
Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS2014).
2014
Bauer, A.; Gornitz, N.; Biegler, F.; Müller, K.-R.; Kloft, M.
Efficient algorithms for exact inference in sequence labeling SVMs.
In: IEEE transactions on neural networks and learning systems 25(5): 870-881,
2014