Nico Görnitz

According to our database, Nico Görnitz authored at least 29 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Optimizing for Measure of Performance in Max-Margin Parsing.

Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller

IEEE Trans. Neural Networks Learn. Syst., 2020

Deep Semi-Supervised Anomaly Detection.

Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

One-class classification in the presence of point, collective, and contextual anomalies.

Nico Görnitz

PhD thesis, 2019

Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs.

Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Transductive Regression for Data With Latent Dependence Structure.

Nico Görnitz, Luiz Alberto Lima, Luiz Eduardo Varella, Klaus-Robert Müller, Shinichi Nakajima

IEEE Trans. Neural Networks Learn. Syst., 2018

Support Vector Data Descriptions and k-Means Clustering: One Class?

Nico Görnitz, Luiz Alberto Lima, Klaus-Robert Müller, Marius Kloft, Shinichi Nakajima

IEEE Trans. Neural Networks Learn. Syst., 2018

Ensembles of Lasso Screening Rules.

Seunghak Lee, Nico Görnitz, Eric P. Xing, David Heckerman, Christoph Lippert

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Unsupervised Detection and Explanation of Latent-class Contextual Anomalies.

Jacob R. Kauffmann, Grégoire Montavon, Luiz Alberto Lima, Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz

CoRR, 2018

Deep One-Class Classification.

Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Porosity estimation by semi-supervised learning with sparsely available labeled samples.

Luiz Alberto Lima, Nico Görnitz, Luiz Eduardo Varella, Marley M. B. R. Vellasco, Klaus-Robert Müller, Shinichi Nakajima

Comput. Geosci., 2017

Minimizing Trust Leaks for Robust Sybil Detection.

János Höner, Shinichi Nakajima, Alexander Bauer, Klaus-Robert Müller, Nico Görnitz

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Feature Importance Measure for Non-linear Learning Algorithms.

Marina M.-C. Vidovic, Nico Görnitz, Klaus-Robert Müller, Marius Kloft

CoRR, 2016

SynsetRank: Degree-adjusted Random Walk for Relation Identification.

Shinichi Nakajima, Sebastian Krause, Dirk Weissenborn, Sven Schmeier, Nico Görnitz, Feiyu Xu

CoRR, 2016

2015

Extracting latent brain states - Towards true labels in cognitive neuroscience experiments.

Anne K. Porbadnigk, Nico Görnitz, Claudia Sannelli, Alexander Binder, Mikio L. Braun, Marius Kloft, Klaus-Robert Müller

NeuroImage, 2015

Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms.

Marina M.-C. Vidovic, Nico Görnitz, Klaus-Robert Müller, Gunnar Rätsch, Marius Kloft

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

Hidden Markov Anomaly Detection.

Nico Görnitz, Mikio L. Braun, Marius Kloft

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Efficient Algorithms for Exact Inference in Sequence Labeling SVMs.

Alexander Bauer, Nico Görnitz, Franziska Biegler, Klaus-Robert Müller, Marius Kloft

IEEE Trans. Neural Networks Learn. Syst., 2014

Oqtans: a multifunctional workbench for RNA-seq data analysis.

Vipin T. Sreedharan, Sebastian J. Schultheiß, Géraldine Jean, André Kahles, Regina Bohnert, Philipp Drewe, Pramod Mudrakarta, Nico Görnitz, Georg Zeller, Gunnar Rätsch

BMC Bioinform., 2014

Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis.

Vipin T. Sreedharan, Sebastian J. Schultheiß, Géraldine Jean, André Kahles, Regina Bohnert, Philipp Drewe, Pramod Mudrakarta, Nico Görnitz, Georg Zeller, Gunnar Rätsch

Bioinform., 2014

An Off-the-shelf Approach to Authorship Attribution.

Jamal Abdul Nasir, Nico Görnitz, Ulf Brefeld

Proceedings of the COLING 2014, 2014

When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning.

Anne K. Porbadnigk, Nico Görnitz, Claudia Sannelli, Alexander Binder, Mikio L. Braun, Marius Kloft, Klaus-Robert Müller

Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

Learning and Evaluation in Presence of Non-i.i.d. Label Noise.

Nico Görnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Müller, Marius Kloft

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning.

Anne Porbadnigk, Nico Görnitz, Marius Kloft, Klaus-Robert Müller

J. Comput. Sci. Eng., 2013

Toward Supervised Anomaly Detection.

Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld

J. Artif. Intell. Res., 2013

2012

Efficient Training of Graph-Regularized Multitask SVMs.

Christian Widmer, Marius Kloft, Nico Görnitz, Gunnar Rätsch

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Oqtans: a Galaxy-integrated workflow for quantitative transcriptome analysis from NGS Data.

Sebastian J. Schultheiß, Géraldine Jean, Jonas Behr, Regina Bohnert, Philipp Drewe, Nico Görnitz, André Kahles, Pramod Mudrakarta, Vipin T. Sreedharan, Georg Zeller, Gunnar Rätsch

BMC Bioinform., 2011

Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation.

Nico Görnitz, Christian Widmer, Georg Zeller, André Kahles, Sören Sonnenburg, Gunnar Rätsch

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009

Active and Semi-supervised Data Domain Description.

Nico Görnitz, Marius Kloft, Ulf Brefeld

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Active learning for network intrusion detection.

Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld

Proceedings of the 2nd ACM Workshop on Security and Artificial Intelligence, 2009