Jacob Goldberger - Google Scholar Citations

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Co-authors

Hayit GreenspanTel-Aviv UniversityVerified email at eng.tau.ac.il
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Oren MelamudIBMVerified email at melamuds.com
Sharon GannotProf. of Electrical Engineering, Bar-Ilan University, IsraelVerified email at biu.ac.il
Shlomo E. ChazanPhD student Bar-Ilan UniversityVerified email at biu.ac.il
Sam Roweis (Memorial)New York UniversityVerified email at buffalo.edu
Jonathan BerantSenior Lecturer (Assistant Professor), Tel-Aviv University, Research Scientist, AI2Verified email at cs.tau.ac.il
Amir AlushCTO & Co-founder @Brodmann17Verified email at post.tau.ac.il
Arnaldo MayerComputational Imaging Lab, Sheba Medical CenterVerified email at sheba.health.gov.il
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Amir LeshemBar-Ilan UniversityVerified email at biu.ac.il
Simon LitsynProfessor of Electrical Engineering, Tel Aviv UniversityVerified email at eng.tau.ac.il
Idan SzpektorGoogleVerified email at google.com
Lior WeizmanOxford UniversityVerified email at fmrib.ox.ac.uk
Tamir TassaProfessor of Computer Science, The Open University of IsraelVerified email at openu.ac.il
Eyal ShnarchVerified email at cs.biu.ac.il
Oren FreifeldBen-Gurion UniversityVerified email at cs.bgu.ac.il
david burshteinProfessor of Electrical Engineering, Tel-Aviv UniversityVerified email at eng.tau.ac.il
Shmuel NitzanProfessor of Economics, Bar Ilan UniversityVerified email at mail.biu.ac.il

Jacob Goldberger

Prof. of Elec. Engineering, Bar-Ilan University, Israel

Verified email at biu.ac.il - Homepage

machine learning deep learning computer vision signal processing NLP


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Neighbourhood components analysis J Goldberger, GE Hinton, ST Roweis, RR Salakhutdinov Advances in neural information processing systems, 513-520, 2005	1673	2005
An efficient image similarity measure based on approximations of KL-divergence between two Gaussian mixtures J Goldberger, S Gordon, H Greenspan null, 487, 2003	395	2003
Constrained Gaussian mixture model framework for automatic segmentation of MR brain images H Greenspan, A Ruf, J Goldberger IEEE transactions on medical imaging 25 (9), 1233-1245, 2006	277	2006
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification M Frid-Adar, I Diamant, E Klang, M Amitai, J Goldberger, H Greenspan Neurocomputing 321, 321-331, 2018	271	2018
context2vec: Learning generic context embedding with bidirectional lstm O Melamud, J Goldberger, I Dagan Proceedings of the 20th SIGNLL conference on computational natural language …, 2016	264	2016
Hierarchical clustering of a mixture model J Goldberger, ST Roweis Advances in neural information processing systems, 505-512, 2005	185	2005
X-ray categorization and retrieval on the organ and pathology level, using patch-based visual words U Avni, H Greenspan, E Konen, M Sharon, J Goldberger IEEE Transactions on Medical Imaging 30 (3), 733-746, 2010	178	2010
Probabilistic space-time video modeling via piecewise GMM H Greenspan, J Goldberger, A Mayer IEEE Transactions on pattern analysis and machine intelligence 26 (3), 384-396, 2004	177	2004
An efficient message-passing schedule for LDPC decoding E Sharon, S Litsyn, J Goldberger 2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel …, 2004	174	2004
Synthetic data augmentation using GAN for improved liver lesion classification M Frid-Adar, E Klang, M Amitai, J Goldberger, H Greenspan 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018	169	2018
Mixture model for face-color modeling and segmentation H Greenspan, J Goldberger, I Eshet Pattern Recognition Letters 22 (14), 1525-1536, 2001	164	2001
Efficient serial message-passing schedules for LDPC decoding E Sharon, S Litsyn, J Goldberger IEEE Transactions on Information Theory 53 (11), 4076-4091, 2007	154	2007
Unsupervised image-set clustering using an information theoretic framework J Goldberger, S Gordon, H Greenspan IEEE transactions on image processing 15 (2), 449-458, 2006	150	2006
Training deep neural-networks using a noise adaptation layer J Goldberger, E Ben-Reuven	144	2016
Global learning of typed entailment rules J Berant, I Dagan, J Goldberger Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011	131	2011
Automatic management of storage access control Y Faitelson, J Goldberger, O Korkus US Patent 7,606,801, 2009	105	2009
Applying the information bottleneck principle to unsupervised clustering of discrete and continuous image representations S Gordon, H Greenspan, J Goldberger null, 370, 2003	105	2003
A continuous probabilistic framework for image matching H Greenspan, J Goldberger, L Ridel Computer Vision and Image Understanding 84 (3), 384-406, 2001	104	2001
A distance measure between GMMs based on the unscented transform and its application to speaker recognition J Goldberger, H Aronowitz Ninth European Conference on Speech Communication and Technology, 2005	96	2005
A probabilistic framework for spatio-temporal video representation & indexing H Greenspan, J Goldberger, A Mayer European Conference on Computer Vision, 461-475, 2002	95	2002

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