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Nico Goernitz
Nico Goernitz
CTO @ MorphAIs | former PostDoc @ TU-Berlin
Zweryfikowany adres z tu-berlin.de - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International conference on machine learning, 4393-4402, 2018
11652018
Toward supervised anomaly detection
N Görnitz, MM Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research (JAIR), 2013
3892013
Deep semi-supervised anomaly detection
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ...
arXiv preprint arXiv:1906.02694, 2019
3132019
Active learning for network intrusion detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Proceedings of the 2nd ACM workshop on Security and artificial intelligence …, 2009
902009
Hidden markov anomaly detection
N Görnitz, M Braun, M Kloft
International Conference on Machine Learning, 2015
662015
Active and semi-supervised data domain description
N Görnitz, M Kloft, U Brefeld
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
422009
Feature importance measure for non-linear learning algorithms
MMC Vidovic, N Görnitz, KR Müller, M Kloft
arXiv preprint arXiv:1611.07567, 2016
372016
Hierarchical multitask structured output learning for large-scale sequence segmentation
N Görnitz, C Widmer, G Zeller, A Kahles, G Rätsch, S Sonnenburg
Advances in Neural Information Processing Systems 24, 2011
352011
Support Vector Data Descriptions and -Means Clustering: One Class?
N Görnitz, LA Lima, KR Müller, M Kloft, S Nakajima
IEEE transactions on neural networks and learning systems 29 (9), 3994-4006, 2017
332017
Learning and evaluation in presence of non-iid label noise
N Görnitz, A Porbadnigk, A Binder, C Sannelli, M Braun, KR Müller, ...
Artificial Intelligence and Statistics, 293-302, 2014
292014
Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data
B Mieth, JRF Hockley, N Görnitz, MMC Vidovic, KR Müller, A Gutteridge, ...
Scientific reports 9 (1), 1-14, 2019
232019
Efficient Algorithms for Exact Inference in Sequence Labeling SVMs
A Bauer, N Goernitz, F Biegler, KR Mueller, M Kloft
IEEE Transactions on Neural Networks and Learning (TNNLS), 2013
232013
Efficient training of graph-regularized multitask SVMs
C Widmer, M Kloft, N Görnitz, G Rätsch
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
212012
Extracting latent brain states—Towards true labels in cognitive neuroscience experiments
AK Porbadnigk, N Görnitz, C Sannelli, A Binder, M Braun, M Kloft, ...
NeuroImage 120, 225-253, 2015
192015
Deep support vector data description for unsupervised and semi-supervised anomaly detection
L Ruff, RA Vandermeulen, N Gornitz, A Binder, E Muller, M Kloft
Proceedings of the ICML 2019 Workshop on Uncertainty and Robustness in Deep …, 2019
172019
Porosity estimation by semi-supervised learning with sparsely available labeled samples
LA Lima, N Görnitz, LE Varella, M Vellasco, KR Müller, S Nakajima
Computers & Geosciences 106, 33-48, 2017
172017
An off-the-shelf approach to authorship attribution
JA Nasir, N Görnitz, U Brefeld
Proceedings of COLING 2014, the 25th International Conference on …, 2014
162014
Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis
VT Sreedharan, SJ Schultheiss, G Jean, A Kahles, R Bohnert, P Drewe, ...
Bioinformatics 30 (9), 1300-1301, 2014
162014
Opening the black box: Revealing interpretable sequence motifs in kernel-based learning algorithms
MMC Vidovic, N Görnitz, KR Müller, G Rätsch, M Kloft
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
152015
Minimizing trust leaks for robust sybil detection
J Höner, S Nakajima, A Bauer, KR Müller, N Görnitz
International Conference on Machine Learning, 1520-1528, 2017
132017
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Prace 1–20