| Large-scale Bayesian logistic regression for text categorization A Genkin, DD Lewis, D Madigan technometrics 49 (3), 291-304, 2007 | 974 | 2007 |
| 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 | 166 | 2005 |
| 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 | 73 | 2006 |
| Bayesian multinomial logistic regression for author identification D Madigan, A Genkin, DD Lewis, D Fradkin AIP conference proceedings 803 (1), 509-516, 2005 | 67 | 2005 |
| 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 | 51 | 2003 |
| 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 | 37 | 2018 |
| Sparse logistic regression for text categorization A Genkin, DD Lewis, D Madigan DIMACS Working Group on Monitoring Message Streams Project Report, 2005 | 36 | 2005 |
| 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 | 33 | 2010 |
| 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 | 27 | 2008 |
| Bbr: Bayesian logistic regression software A Genkin, DD Lewis, D Madigan Center for Discrete Mathematics and Theoretical Computer Science, Rutgers …, 2005 | 26 | 2005 |
| 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 | 25 | 2017 |
| DIMACS at the TREC 2004 Genomics Track. AA Dayanik, D Fradkin, A Genkin, PB Kantor, D Madigan, DD Lewis, ... TREC, 2004 | 25 | 2004 |
| 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 | 23 | 2012 |
| Fixed points approach to clustering AV Genkin, IB Muchnik Journal of Classification 10 (2), 219-240, 1993 | 16 | 1993 |
| Optimum algorithm for maximization of submodular functions AV Genkin, IB Muchnik Automation and Remote Control 51 (8 pt 2), 1121-1128, 1991 | 16 | 1991 |
| 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 | 11 | 2004 |
| 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 | 10 | 2013 |
| Distributed coordinate descent for l1-regularized logistic regression I Trofimov, A Genkin arXiv preprint arXiv:1411.6520, 2014 | 9 | 2014 |
| BMR: Bayesian multinomial regression software A Genkin, DD Lewis, D Madigan | 9 | 2005 |
| Set covering submodular maximization: An optimal algorithm for data mining in bioinformatics and medical informatics A Genkin, CA Kulikowski, I Muchnik Journal of Intelligent & Fuzzy Systems 12 (1), 5-17, 2002 | 7 | 2002 |
