| Support vector machines for classification M Awad, R Khanna, M Awad, R Khanna Efficient learning machines: Theories, concepts, and applications for …, 2015 | 645 | 2015 |
| Prediction of protein folding class using global description of amino acid sequence. I Dubchak, I Muchnik, SR Holbrook, SH Kim Proceedings of the National Academy of Sciences 92 (19), 8700-8704, 1995 | 632 | 1995 |
| An implementation of logical analysis of data E Boros, PL Hammer, T Ibaraki, A Kogan, E Mayoraz, I Muchnik IEEE Transactions on knowledge and Data Engineering 12 (2), 292-306, 2000 | 549 | 2000 |
| Recognition of a protein fold in the context of the SCOP classification I Dubchak, I Muchnik, C Mayor, I Dralyuk, SH Kim Proteins: structure, function, and bioinformatics 35 (4), 401-407, 1999 | 336 | 1999 |
| Reconstruction of ancient molecular phylogeny R Guigo, I Muchnik, TF Smith Molecular phylogenetics and evolution 6 (2), 189-213, 1996 | 296 | 1996 |
| A biologically consistent model for comparing molecular phylogenies B Mirkin, I Muchnik, TF Smith Journal of computational biology 2 (4), 493-507, 1995 | 147 | 1995 |
| Functional dependencies in relational databases: A lattice point of view J Demetrovics, L Libkin, IB Muchnik Discrete Applied Mathematics 40 (2), 155-185, 1992 | 117 | 1992 |
| Protein folding class predictor for SCOP: approach based on global descriptors. I Dubchak, I Muchnik, SH Kim Proceedings. International Conference on Intelligent Systems for Molecular …, 1997 | 71 | 1997 |
| A method of gene expression data transfer from cell lines to cancer patients for machine-learning prediction of drug efficiency N Borisov, V Tkachev, M Suntsova, O Kovalchuk, A Zhavoronkov, ... Cell Cycle 17 (4), 486-491, 2018 | 58 | 2018 |
| Bioinformatics: towards new directions for public health V Maojo, F Martín-Sánchez Methods of information in medicine 43 (03), 208-214, 2004 | 55 | 2004 |
| Structural methods of empirical data processing EM Braverman, IB Muchnik M.," Nauka", GRAML, 1983 | 52 | 1983 |
| Prevalence of wet litter and the associated risk factors in broiler flocks in the United Kingdom PG Hermans, D Fradkin, IB Muchnik, KL Morgan Veterinary Record 158 (18), 615-622, 2006 | 48 | 2006 |
| Early warning indicators for hock burn in broiler flocks PJ Hepworth, AV Nefedov, IB Muchnik, KL Morgan Avian Pathology 39 (5), 405-409, 2010 | 46 | 2010 |
| Broiler chickens can benefit from machine learning: support vector machine analysis of observational epidemiological data PJ Hepworth, AV Nefedov, IB Muchnik, KL Morgan Journal of the Royal Society Interface 9 (73), 1934-1942, 2012 | 43 | 2012 |
| Functional dependencies and the semilattice of closed classes J Demetrovics, LO Libkin, IB Muchnik MFDBS 89: 2nd Symposium on Mathematical Fundamentals of Database Systems …, 1989 | 43 | 1989 |
| Monotone linkage clustering and quasi-concave set functions Y Kempner, B Mirkin, I Muchnik Applied Mathematics Letters 10 (4), 19-24, 1997 | 41 | 1997 |
| Logical analysis of Chinese labor productivity patterns AB Hammer, PL Hammer, I Muchnik Annals of Operations Research 87 (0), 165-176, 1999 | 36 | 1999 |
| Modeling protein cores with Markov random fields JV White, I Muchnik, TF Smith Mathematical biosciences 124 (2), 149-179, 1994 | 36 | 1994 |
| Featureless pattern recognition in an imaginary Hilbert space and its application to protein fold classification V Mottl, S Dvoenko, O Seredin, C Kulikowski, I Muchnik Machine Learning and Data Mining in Pattern Recognition: Second …, 2001 | 33 | 2001 |
| Distinguishing mislabeled data from correctly labeled data in classifier design S Venkataraman, D Metaxas, D Fradkin, C Kulikowski, I Muchnik 16th IEEE International Conference on Tools with Artificial Intelligence …, 2004 | 31 | 2004 |
