Nico Goernitz

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Marius KloftProfessor, RPTU Kaiserslautern-LandauDirección de correo verificada de cs.uni-kl.de
Klaus-Robert MüllerGoogle Deepmind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyDirección de correo verificada de tu-berlin.de
Alexander BinderChair Computer Vision, OvGU, Magdeburg, GermanyDirección de correo verificada de ovgu.de
Lukas RuffAignosticsDirección de correo verificada de aignostics.com
Robert A. VandermeulenTechnische Universität Berlin & BIFOLDDirección de correo verificada de tu-berlin.de
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundDirección de correo verificada de cs.tu-dortmund.de
Lucas DeeckeUniversity of EdinburghDirección de correo verificada de ed.ac.uk
Gunnar RätschProfessor, ETH ZürichDirección de correo verificada de inf.ethz.ch
Ulf BrefeldLeuphana Universität LüneburgDirección de correo verificada de leuphana.de
Shinichi NakajimaMachine Learning Group, Technische Universität BerlinDirección de correo verificada de tu-berlin.de
Shoaib Ahmed SiddiquiUniversity of CambridgeDirección de correo verificada de cam.ac.uk
Mikio L. BraunTU Berlin (allumni)Dirección de correo verificada de zalando.de
Marina Marie-Claire Höhne (née Vido...Full Professor at Uni Potsdam, Head of the Data Science department at ATB-PotsdamDirección de correo verificada de uni-potsdam.de
Konrad RieckTechnische Universität BerlinDirección de correo verificada de tu-berlin.de
Andre KahlesDepartment of Computer Science, ETH Zurich, SwitzerlandDirección de correo verificada de inf.ethz.ch
Georg ZellerEMBL, HeidelbergDirección de correo verificada de embl.de
Claudia SannelliMedtronicDirección de correo verificada de medtronic.com
Alexander BauerTU BerlinDirección de correo verificada de tu-berlin.de
Pramod Kaushik MudrakartaGoogle ResearchDirección de correo verificada de google.com
Christian WidmerGoogleDirección de correo verificada de google.com

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Nico Goernitz

CTO @ MorphAIs | former PostDoc @ TU-Berlin

Dirección de correo verificada de tu-berlin.de - Página principal

Artificial Intelligence Machine Learning Anomaly Detection One-class Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Deep one-class classification L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ... International conference on machine learning, 4393-4402, 2018	2104	2018
Deep semi-supervised anomaly detection L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ... arXiv preprint arXiv:1906.02694, 2019	596	2019
Toward supervised anomaly detection N Görnitz, MM Kloft, K Rieck, U Brefeld Journal of Artificial Intelligence Research (JAIR), 2013	488	2013
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	96	2009
Hidden markov anomaly detection N Görnitz, M Braun, M Kloft International Conference on Machine Learning, 2015	71	2015
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	45	2017
Active and semi-supervised data domain description N Görnitz, M Kloft, U Brefeld Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009	44	2009
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	41	2011
Feature importance measure for non-linear learning algorithms MMC Vidovic, N Görnitz, KR Müller, M Kloft arXiv preprint arXiv:1611.07567, 2016	39	2016
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), 20353, 2019	33	2019
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	32	2014
DeepCOMBI: explainable artificial intelligence for the analysis and discovery in genome-wide association studies B Mieth, A Rozier, JA Rodriguez, MMC Höhne, N Görnitz, KR Müller NAR genomics and bioinformatics 3 (3), lqab065, 2021	29	2021
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	24	2013
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	22	2019
Efficient training of graph-regularized multitask SVMs C Widmer, M Kloft, N Görnitz, G Rätsch Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012	22	2012
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	21	2015
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	20	2017
An off-the-shelf approach to authorship attribution JA Nasir, N Görnitz, U Brefeld Proceedings of COLING 2014, the 25th International Conference on …, 2014	20	2014
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	19	2014
Ensembles of Lasso screening rules S Lee, N Görnitz, EP Xing, D Heckerman, C Lippert IEEE transactions on pattern analysis and machine intelligence 40 (12), 2841 …, 2017	18	2017

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