Nico Görnitz

ORCID

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 18

Top Venues

CoRR

IEEE Trans. Neural Networks Learn. Syst.

ICML

AISTATS

Technical University of Berlin, Germany (PHD)

Education History

Technical University of Berlin, Germany

PHD

Publications

Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. ICLR (2020)
Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller
Optimizing for Measure of Performance in Max-Margin Parsing. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. CoRR (2019)
Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller
Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. AISTATS (2019)
Nico Görnitz, Luiz Alberto Lima, Klaus-Robert Müller, Marius Kloft, Shinichi Nakajima
Support Vector Data Descriptions and k-Means Clustering: One Class? IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Seunghak Lee, Nico Görnitz, Eric P. Xing, David Heckerman, Christoph Lippert
Ensembles of Lasso Screening Rules. IEEE Trans. Pattern Anal. Mach. Intell. 40 (12) (2018)
Jacob R. Kauffmann, Grégoire Montavon, Luiz Alberto Lima, Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz
Unsupervised Detection and Explanation of Latent-class Contextual Anomalies. CoRR (2018)
Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft
Deep One-Class Classification. ICML (2018)
Nico Görnitz, Luiz Alberto Lima, Luiz Eduardo Varella, Klaus-Robert Müller, Shinichi Nakajima
Transductive Regression for Data With Latent Dependence Structure. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller
Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. CoRR (2017)
János Höner, Shinichi Nakajima, Alexander Bauer, Klaus-Robert Müller, Nico Görnitz
Minimizing Trust Leaks for Robust Sybil Detection. ICML (2017)
Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller
Optimizing for Measure of Performance in Max-Margin Parsing. CoRR (2017)
Luiz Alberto Lima, Nico Görnitz, Luiz Eduardo Varella, Marley M. B. R. Vellasco, Klaus-Robert Müller, Shinichi Nakajima
Porosity estimation by semi-supervised learning with sparsely available labeled samples. Comput. Geosci. 106 (2017)
Marina M.-C. Vidovic, Nico Görnitz, Klaus-Robert Müller, Marius Kloft
Feature Importance Measure for Non-linear Learning Algorithms. CoRR (2016)
Shinichi Nakajima, Sebastian Krause, Dirk Weissenborn, Sven Schmeier, Nico Görnitz, Feiyu Xu
SynsetRank: Degree-adjusted Random Walk for Relation Identification. CoRR (2016)
Anne K. Porbadnigk, Nico Görnitz, Claudia Sannelli, Alexander Binder, Mikio L. Braun, Marius Kloft, Klaus-Robert Müller
Extracting latent brain states - Towards true labels in cognitive neuroscience experiments. NeuroImage 120 (2015)
Marina M.-C. Vidovic, Nico Görnitz, Klaus-Robert Müller, Gunnar Rätsch, Marius Kloft
Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms. ECML/PKDD (2) (2015)
Nico Görnitz, Mikio L. Braun, Marius Kloft
Hidden Markov Anomaly Detection. ICML (2015)
Jamal Abdul Nasir, Nico Görnitz, Ulf Brefeld
An Off-the-shelf Approach to Authorship Attribution. COLING (2014)
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
Toward Supervised Anomaly Detection. CoRR (2014)
Nico Görnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Müller, Marius Kloft
Learning and Evaluation in Presence of Non-i.i.d. Label Noise. AISTATS (2014)
Alexander Bauer, Nico Görnitz, Franziska Biegler, Klaus-Robert Müller, Marius Kloft
Efficient Algorithms for Exact Inference in Sequence Labeling SVMs. IEEE Trans. Neural Networks Learn. Syst. 25 (5) (2014)
Vipin T. Sreedharan, Sebastian J. Schultheiß, Géraldine Jean, André Kahles, Regina Bohnert, Philipp Drewe, Pramod Mudrakarta, Nico Görnitz, Georg Zeller, Gunnar Rätsch
Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis. Bioinform. 30 (9) (2014)
Anne K. Porbadnigk, Nico Görnitz, Claudia Sannelli, Alexander Binder, Mikio L. Braun, Marius Kloft, Klaus-Robert Müller
When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning. BCI (2014)
Vipin T. Sreedharan, Sebastian J. Schultheiß, Géraldine Jean, André Kahles, Regina Bohnert, Philipp Drewe, Pramod Mudrakarta, Nico Görnitz, Georg Zeller, Gunnar Rätsch
Oqtans: a multifunctional workbench for RNA-seq data analysis. BMC Bioinform. 15 (S-3) (2014)
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
Toward Supervised Anomaly Detection. J. Artif. Intell. Res. 46 (2013)
Anne Porbadnigk, Nico Görnitz, Marius Kloft, Klaus-Robert Müller
Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning. J. Comput. Sci. Eng. 7 (2) (2013)
Christian Widmer, Marius Kloft, Nico Görnitz, Gunnar Rätsch
Efficient Training of Graph-Regularized Multitask SVMs. ECML/PKDD (1) (2012)
Sebastian J. Schultheiß, Géraldine Jean, Jonas Behr, Regina Bohnert, Philipp Drewe, Nico Görnitz, André Kahles, Pramod Mudrakarta, Vipin T. Sreedharan, Georg Zeller, Gunnar Rätsch
Oqtans: a Galaxy-integrated workflow for quantitative transcriptome analysis from NGS Data. BMC Bioinform. 12 (S-11) (2011)
Nico Görnitz, Christian Widmer, Georg Zeller, André Kahles, Sören Sonnenburg, Gunnar Rätsch
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation. NIPS (2011)
Nico Görnitz, Marius Kloft, Ulf Brefeld
Active and Semi-supervised Data Domain Description. ECML/PKDD (1) (2009)
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
Active learning for network intrusion detection. AISec (2009)

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Publication Activity (10 Years)

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Nico Görnitz