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Alexander Genkin
Alexander Genkin
Neuroscience Institute, NYU Langone Medical Center
Verified email at nyumc.org - Homepage
Title
Cited by
Cited by
Year
Large-scale Bayesian logistic regression for text categorization
A Genkin, DD Lewis, D Madigan
technometrics 49 (3), 291-304, 2007
10292007
Author identification on the large scale
D Madigan, A Genkin, DD Lewis, S Argamon, D Fradkin, L Ye
Proceedings of the 2005 Meeting of the Classification Society of North …, 2005
1782005
Constructing informative prior distributions from domain knowledge in text classification
A Dayanik, DD Lewis, D Madigan, V Menkov, A Genkin
Proceedings of the 29th annual international ACM SIGIR conference on …, 2006
742006
Bayesian multinomial logistic regression for author identification
D Madigan, A Genkin, DD Lewis, D Fradkin
Bayesian Inference and Maximum Entropy Methods in Science and Engineering …, 2005
692005
Bioinformatics: towards new directions for public health
V Maojo, F Martín-Sánchez
Methods of information in medicine 43 (03), 208-214, 2004
552004
Sparse bayesian classifiers for text categorization
S Eyheramendy, A Genkin, WH Ju, DD Lewis, D Madigan
Journal of Intelligence Community Research and Development 13, 2003
512003
Manifold-tiling localized receptive fields are optimal in similarity-preserving neural networks
A Sengupta, C Pehlevan, M Tepper, A Genkin, D Chklovskii
Advances in Neural Information Processing Systems 31, 7080-7090, 2018
412018
Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction
A Veeraraghavan, AV Genkin, S Vitaladevuni, L Scheffer, S Xu, H Hess, ...
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
342010
Mitochondria detection in electron microscopy images
S Vitaladevuni, Y Mishchenko, A Genkin, D Chklovskii, K Harris
Workshop on Microscopic Image Analysis with Applications in Biology 42, 2008
282008
A clustering neural network model of insect olfaction
C Pehlevan, A Genkin, DB Chklovskii
2017 51st Asilomar Conference on Signals, Systems, and Computers, 593-600, 2017
262017
Bbr: Bayesian logistic regression software
A Genkin, DD Lewis, D Madigan
Center for Discrete Mathematics and Theoretical Computer Science, Rutgers …, 2005
262005
A network of spiking neurons for computing sparse representations in an energy-efficient way
T Hu, A Genkin, DB Chklovskii
Neural computation 24 (11), 2852-2872, 2012
242012
DIMACS at the TREC 2004 Genomics Track.
AA Dayanik, D Fradkin, A Genkin, PB Kantor, D Madigan, DD Lewis, ...
TREC, 2004
242004
Fixed points approach to clustering
AV Genkin, IB Muchnik
Journal of Classification 10, 219-240, 1993
171993
Optimum algorithm for maximization of submodular functions
AV Genkin, IB Muchnik
Automation and Remote Control 51 (8 pt 2), 1121-1128, 1991
171991
A neuron as a signal processing device
T Hu, ZJ Towfic, C Pehlevan, A Genkin, DB Chklovskii
Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA …, 2013
112013
Large-scale Bayesian logistic regression for text categorization, 2006
A Genkin, D Lewis, D Madigan
Technometrics. Available from www. stat. rutgers. edu/madigan/papers, 2004
112004
BMR: Bayesian multinomial regression software
A Genkin, DD Lewis, D Madigan
102005
Neural optimal feedback control with local learning rules
J Friedrich, S Golkar, S Farashahi, A Genkin, A Sengupta, D Chklovskii
Advances in Neural Information Processing Systems 34, 16358-16370, 2021
92021
A neural network for semi-supervised learning on manifolds
A Genkin, AM Sengupta, D Chklovskii
Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019
82019
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