Svetlana Kutuzova 个人学术档案

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	总计	2019 年至今
引用	239	235
h 指数	7	7
i10 指数	4	4

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Mads NielsenProfessor of Computer Science, University of Copenhagen在 diku.edu 的电子邮件经过验证
Simon RasmussenProfessor, University of Copenhagen在 sund.ku.dk 的电子邮件经过验证
Markus HerrgardCTO, BioInnovation Institute在 bii.dk 的电子邮件经过验证
Moritz Emanuel BeberUnseen Bio ApS在 unseenbio.com 的电子邮件经过验证
Henning RedestigData scientist, Genencor International在 iff.com 的电子邮件经过验证
Ricardo Hernández MedinaPhD Fellow, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen在 cpr.ku.dk 的电子邮件经过验证
Lars Hestbjerg HansenDepartment of Plant and Environmental Science, University of Copenhagen在 plen.ku.dk 的电子邮件经过验证
Knud Nor NielsenDTU Biosustain在 dtu.dk 的电子邮件经过验证
Nikolaus SonnenscheinGinkgo Bioworks在 ginkgobioworks.com 的电子邮件经过验证
Christian LievenNovo Nordisk Foundation Center for Biosustainability在 biosustain.dtu.dk 的电子邮件经过验证
Kristian JensenTechnical University of Denmark在 biosustain.dtu.dk 的电子邮件经过验证
Christian IgelDepartment of Computer Science, University of Copenhagen在 diku.dk 的电子邮件经过验证
Bo BurlaNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
Timo SachsenbergStaff Scientist, University of Tübingen在 uni-tuebingen.de 的电子邮件经过验证
Oliver AlkaUniversity of Tübingen在 informatik.uni-tuebingen.de 的电子邮件经过验证
Oliver KohlbacherProfessor for Applied Bioinformatics, University of Tübingen在 uni-tuebingen.de 的电子邮件经过验证
Lars Keld NielsenProfessor of Biological Engineering, University of Queensland在 uq.edu.au 的电子邮件经过验证
Hannes RöstAssistant Professor, University of Toronto在 utoronto.ca 的电子邮件经过验证
Cristina Legido-QuigleySteno Copenhagen, King's College London, Imperial College London在 kcl.ac.uk 的电子邮件经过验证
Oswin KrauseDepartment of Computer Science, University of Copenhagen在 di.ku.dk 的电子邮件经过验证

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Svetlana Kutuzova

其他姓名Svetlana Galkina

University of Copenhagen

在 di.ku.dk 的电子邮件经过验证

representation learning autoencoders chemometrics scientific software metagenome


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Machine learning and deep learning applications in microbiome research R Hernández Medina, S Kutuzova, KN Nielsen, J Johansen, LH Hansen, ... ISME Communications 2 (1), 98, 2022	96	2022
Cameo: a Python library for computer aided metabolic engineering and optimization of cell factories JGR Cardoso, K Jensen, C Lieven, AS Lærke Hansen, S Galkina, ... ACS synthetic biology 7 (4), 1163-1166, 2018	70	2018
SmartPeak automates targeted and quantitative metabolomics data processing S Kutuzova, P Colaianni, H Rost, T Sachsenberg, O Alka, O Kohlbacher, ... Analytical chemistry 92 (24), 15968-15974, 2020	25	2020
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts S Kutuzova, O Krause, D McCloskey, M Nielsen, C Igel arXiv preprint arXiv:2101.07240, 2021	16	2021
Precision diagnostic approach to predict 5-year risk for microvascular complications in type 1 diabetes N Al-Sari, S Kutuzova, T Suvitaival, P Henriksen, F Pociot, P Rossing, ... EBioMedicine 80, 2022	9	2022
OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data J Pfeuffer, C Bielow, S Wein, K Jeong, E Netz, A Walter, O Alka, L Nilse, ... Nature methods 21 (3), 365-367, 2024	8	2024
Adversarial and variational autoencoders improve metagenomic binning PP Líndez, J Johansen, S Kutuzova, AI Sigurdsson, JN Nissen, ... Communications Biology 6 (1), 1073, 2023	7	2023
Bi-modal variational autoencoders for metabolite identification using tandem mass spectrometry S Kutuzova, C Igel, M Nielsen, D McCloskey bioRxiv, 2021.08. 03.454944, 2021	6	2021
Использование методов машинного обучения для построения оптимального портфеля ценных бумаг СА Галкина International Journal of Open Information Technologies 2 (6), 14-20, 2014	2	2014
Taxometer: Improving taxonomic classification of metagenomics contigs S Kutuzova, M Nielsen, P Piera, JN Nissen, S Rasmussen Nature Communications 15 (1), 1-9, 2024		2024
HyperLeaf2024-A Hyperspectral Imaging Dataset for Classification and Regression of Wheat Leaves WM Laprade, P Pieta, S Kutuzova, JC Westergaard, M Nielsen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024		2024
OpenMS 3 expands the frontiers of open-source computational mass spectrometry T Sachsenberg, J Pfeuffer, C Bielow, S Wein, K Jeong, E Netz, A Walter, ...		2023
Machine learning methods for metabolomics data analysis S Kutuzova		2022
DD-DeCaF: Data-Driven Design of Cell Factories and Communities ME Beber, D Dannaher, M Fodor, S Galkina, NH Redestig, ... DTU Sustain 2017, R-3, 2017		2017

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