Hannes Nickisch - Google Scholar Citations

Cited by

	All	Since 2014
Citations	5052	4149
h-index	21	19
i10-index	32	28

1000

500

250

750

2009201020112012201320142015201620172018201942 102 168 247 291 395 476 694 734 855 995

Co-authors

Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinVerified email at amazon.de
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
Andrew Gordon WilsonNew York UniversityVerified email at cims.nyu.edu
Christoph H. LampertProfessor at IST AustriaVerified email at ist.ac.at
Stefan HarmelingProfessor at Heinrich-Heine-Universität DüsseldorfVerified email at hhu.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; and Distinguished Amazon ScholarVerified email at tuebingen.mpg.de
Michael GrassPhilips Research, Hambug, GermanyVerified email at philips.com
Sven PrevrhalPhilips Research HamburgVerified email at philips.com
Moti FreimanBiomedical Engineering, Technion - Israel Institute of TechnologyVerified email at technion.ac.il
Chris WilliamsProfessor of Machine Learning, University of EdinburghVerified email at inf.ed.ac.uk
Daniel B. NeillNew York UniversityVerified email at nyu.edu
Seth R. Flaxmansenior lecturer at Imperial College LondonVerified email at imperial.ac.uk
Christoph RhemannResearch Scientist, GoogleVerified email at google.com
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Yechiel LamashComputational Radiology Lab, Boston Childrens Hospital, Harvard Medical SchoolVerified email at childrens.harvard.edu
Ivo Matteo BaltruschatPhD student, University Medical Center Hamburg-EppendorfVerified email at uke.de
Michael MorlockTUHHVerified email at tuhh.de
David DuvenaudAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Jürgen WeeseResearch Fellow, Philips ResearchVerified email at philips.com
Alex SmolaAmazon Web ServicesVerified email at smola.org

Hannes Nickisch

Senior Scientist at Philips Research

Verified email at philips.com - Homepage

Biophysical Simulations Medical Image Processing Probabilistic Pattern Recognition Machine Learning


Title	Cited by	Year
Learning to detect unseen object classes by between-class attribute transfer CH Lampert, H Nickisch, S Harmeling 2009 IEEE Conference on Computer Vision and Pattern Recognition, 951-958, 2009	1566	2009
Attribute-based classification for zero-shot visual object categorization CH Lampert, H Nickisch, S Harmeling IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (3), 453-465, 2013	767	2013
Gaussian processes for machine learning (GPML) toolbox CE Rasmussen, H Nickisch Journal of machine learning research 11 (Nov), 3011-3015, 2010	585	2010
Gaussian processes for machine learning CKI Williams, CE Rasmussen MIT press 2 (3), 4, 2006	564	2006
Approximations for binary Gaussian process classification H Nickisch, CE Rasmussen Journal of Machine Learning Research 9 (Oct), 2035-2078, 2008	292	2008
Additive gaussian processes DK Duvenaud, H Nickisch, CE Rasmussen Advances in neural information processing systems, 226-234, 2011	169	2011
Kernel interpolation for scalable structured Gaussian processes (KISS-GP) A Wilson, H Nickisch International Conference on Machine Learning, 1775-1784, 2015	163	2015
Optimization of k‐space trajectories for compressed sensing by Bayesian experimental design M Seeger, H Nickisch, R Pohmann, B Schölkopf Magnetic Resonance in Medicine: An Official Journal of the International …, 2010	121	2010
Compressed sensing and Bayesian experimental design MW Seeger, H Nickisch Proceedings of the 25th international conference on Machine learning, 912-919, 2008	113	2008
Large scale Bayesian inference and experimental design for sparse linear models MW Seeger, H Nickisch SIAM Journal on Imaging Sciences 4 (1), 166-199, 2011	73	2011
Fast Kronecker inference in Gaussian processes with non-Gaussian likelihoods S Flaxman, A Wilson, D Neill, H Nickisch, A Smola International Conference on Machine Learning, 607-616, 2015	65	2015
Thoughts on massively scalable Gaussian processes AG Wilson, C Dann, H Nickisch arXiv preprint arXiv:1511.01870, 2015	46	2015
Blind retrospective motion correction of MR images A Loktyushin, H Nickisch, R Pohmann, B Schölkopf Magnetic resonance in medicine 70 (6), 1608-1618, 2013	46	2013
User-centric learning and evaluation of interactive segmentation systems P Kohli, H Nickisch, C Rother, C Rhemann International Journal of Computer Vision 100 (3), 261-274, 2012	32	2012
Bayesian experimental design of magnetic resonance imaging sequences H Nickisch, R Pohmann, B Schölkopf, M Seeger Advances in Neural Information Processing Systems, 1441-1448, 2009	30	2009
Convex variational Bayesian inference for large scale generalized linear models H Nickisch, MW Seeger Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	29	2009
Learning an interactive segmentation system H Nickisch, C Rother, P Kohli, C Rhemann Proceedings of the Seventh Indian Conference on Computer Vision, Graphics …, 2010	28	2010
Attribute-based classification for zero-shot learning of object categories CH Lampert, H Nickisch, S Harmeling IEEE Transactions on Pattern Analysis & Machine Intelligence, 1, 2013	27	2013
Scalable log determinants for Gaussian process kernel learning K Dong, D Eriksson, H Nickisch, D Bindel, AG Wilson Advances in Neural Information Processing Systems, 6327-6337, 2017	26	2017
Fast convergent algorithms for expectation propagation approximate Bayesian inference M Seeger, H Nickisch Proceedings of the Fourteenth International Conference on Artificial …, 2011	25	2011

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors