Active learning for network intrusion detection. - Nico Görnitz; Marius Kloft; Konrad Rieck; Ulf Brefeld (AISec, 2009)

Active and Semi-supervised Data Domain Description. - Nico Görnitz; Marius Kloft; Ulf Brefeld (ECML/PKDD (1), 2009)

Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation. - Nico Görnitz; Christian Widmer; Georg Zeller; André Kahles; Sören Sonnenburg; Gunnar Rätsch (NIPS, 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)

Efficient Training of Graph-Regularized Multitask SVMs. - Christian Widmer; Marius Kloft; Nico Görnitz; Gunnar Rätsch (ECML/PKDD (1), 2012)

Toward Supervised Anomaly Detection. - Nico Görnitz; Marius Kloft; Konrad Rieck; Ulf Brefeld (J. Artif. Intell. Res., 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)

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 (AISTATS, 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 (BCI, 2014)

An Off-the-shelf Approach to Authorship Attribution. - Jamal Abdul Nasir; Nico Görnitz; Ulf Brefeld (COLING, 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)

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)

Efficient Algorithms for Exact Inference in Sequence Labeling SVMs. - Alexander Bauer 001; Nico Görnitz; Franziska Biegler; Klaus-Robert Müller; Marius Kloft (IEEE Trans. Neural Networks Learn. Syst., 2014)

Hidden Markov Anomaly Detection. - Nico Görnitz; Mikio L. Braun; Marius Kloft (ICML, 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 (ECML/PKDD (2), 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)

SynsetRank: Degree-adjusted Random Walk for Relation Identification. - Shinichi Nakajima; Sebastian Krause; Dirk Weissenborn; Sven Schmeier; Nico Görnitz; Feiyu Xu (CoRR, 2016)

Feature Importance Measure for Non-linear Learning Algorithms. - Marina M.-C. Vidovic; Nico Görnitz; Klaus-Robert Müller; Marius Kloft (CoRR, 2016)

Minimizing Trust Leaks for Robust Sybil Detection. - János Höner; Shinichi Nakajima; Alexander Bauer 001; Klaus-Robert Müller; Nico Görnitz (ICML, 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)

Deep One-Class Classification. - Lukas Ruff; Nico Görnitz; Lucas Deecke; Shoaib Ahmed Siddiqui; Robert A. Vandermeulen; Alexander Binder; Emmanuel Müller; Marius Kloft (ICML, 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)

Ensembles of Lasso Screening Rules. - Seunghak Lee; Nico Görnitz; Eric P. Xing; David Heckerman; Christoph Lippert (IEEE Trans. Pattern Anal. Mach. Intell., 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)

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)

Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. - Alexander Bauer 001; Shinichi Nakajima; Nico Görnitz; Klaus-Robert Müller (AISTATS, 2019)

One-class classification in the presence of point, collective, and contextual anomalies. - Nico Görnitz (2019)

Deep Semi-Supervised Anomaly Detection. - Lukas Ruff; Robert A. Vandermeulen; Nico Görnitz; Alexander Binder; Emmanuel Müller; Klaus-Robert Müller; Marius Kloft (ICLR, 2020)

Optimizing for Measure of Performance in Max-Margin Parsing. - Alexander Bauer 001; Shinichi Nakajima; Nico Görnitz; Klaus-Robert Müller (IEEE Trans. Neural Networks Learn. Syst., 2020)