| Identifying amyloid pathology–related cerebrospinal fluid biomarkers for Alzheimer's disease in a multicohort study YY Leung, JB Toledo, A Nefedov, R Polikar, N Raghavan, SX Xie, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 1 (3 …, 2015 | 57 | 2015 |
| 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, 2012 | 43 | 2012 |
| Examining troughs in the mass distribution of all theoretically possible tryptic peptides AV Nefedov, I Mitra, AR Brasier, RG Sadygov Journal of proteome research 10 (9), 4150-4157, 2011 | 32 | 2011 |
| Hock burn: an indicator of broiler flock health PJ Hepworth, AV Nefedov, IB Muchnik, KL Morgan Veterinary Record 168 (11), 303, 2011 | 30 | 2011 |
| Information technology for the morphological analysis of the lymphoid cell nuclei I Gurevich, D Harazishvili, I Jernova, A Khilkov, A Nefyodov, I Vorobjev Scandinavian Conference on Image Analysis, 541-548, 2003 | 24 | 2003 |
| Using generative adversarial networks to synthesize artificial financial datasets D Efimov, D Xu, L Kong, A Nefedov, A Anandakrishnan arXiv preprint arXiv:2002.02271, 2020 | 21 | 2020 |
| Identification of proximal biomarkers of PKC agonism and evaluation of their role in HIV reactivation SV Vemula, JW Maxwell, A Nefedov, BL Wan, J Steve, W Newhard, ... Antiviral Research 139, 161-170, 2017 | 19 | 2017 |
| Selection of diagnostically valuable features for morphological analysis of blood cells ZV Churakova, IB Gurevich, IA Jernova, DV Kharazishvili, AV Khilkov, ... Pattern Recognition and Image Analysis. Advances in Mathematical Theory and …, 2003 | 19 | 2003 |
| Support Vector Machines: A Simple Tutorial A Nefedov https://svmtutorial.online/download.php?file=SVM_tutorial.pdf, 34, 2016 | 16* | 2016 |
| Improved Mass Defect Model for Theoretical Tryptic Peptides I Mitra, AV Nefedov, AR Brasier, RG Sadygov Analytical Chemistry, 2012 | 16 | 2012 |
| A parallel method for enumerating amino acid compositions and masses of all theoretical peptides AV Nefedov, RG Sadygov BMC bioinformatics 12, 1-9, 2011 | 11 | 2011 |
| SVM Model for Quality Assessment of Medium Resolution Mass Spectra from 18O-Water Labeling Experiments AV Nefedov, MJ Gilski, RG Sadygov Journal of proteome research 10 (4), 2095-2103, 2011 | 9 | 2011 |
| Block diagram representation of a 2D-AEC algorithm with rectangular support sets IB Gurevich, AV Nefyodov Pattern Recognition and Image Analysis (Advances in Mathematical Theory and …, 2005 | 9 | 2005 |
| Algorithms for Estimate Calculations Designed for the Case of 2D Support Sets. Part 1: Rectangular Support Sets IB Gurevich, AV Nefyodov PATTERN RECOGNITION AND IMAGE ANALYSIS C/C OF RASPOZNAVANIYE OBRAZOV I …, 2001 | 9 | 2001 |
| Bioinformatics Tools for Mass Spectrometry-Based High-Throughput Quantitative Proteomics Platforms A V Nefedov, M J Gilski, R G Sadygov Current Proteomics 8 (2), 125-137, 2011 | 8 | 2011 |
| Block-based image exposure assessment and indoor/outdoor classification S Efimov, A Nefyodov, M Rychagov Proc. of 17th Conf. on Computer Graphics GraphiCon, 2007 | 8 | 2007 |
| Cellular gene modulation of HIV-infected CD4 T cells in response to serial treatment with the histone deacetylase inhibitor vorinostat JW Maxwell, SD Falcinelli, A Nefedov, C Dorfmeier, G Wu, M Dewey, ... Journal of Virology 94 (13), 10.1128/jvi. 00351-20, 2020 | 6 | 2020 |
| Experimental study of support vector machines based on linear and quadratic optimization criteria A Nefedov, J Ye, C Kulikowski, I Muchnik, K Morgan Technical Report 2009-18, 2009 | 6 | 2009 |
| Discriminative power of lymphoid cell features: Factor analysis approach I Gurevich, D Harazishvili, I Jernova, A Nefyodov, A Trykova, I Vorobjev Progress in Pattern Recognition, Speech and Image Analysis: 8th …, 2003 | 6 | 2003 |
