Svetlana Kutuzova

About Svetlana Kutuzova

Svetlana Kutuzova, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of representation learning, autoencoders, chemometrics, scientific software, metagenome.

His recent articles reflect a diverse array of research interests and contributions to the field:

OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data

Adversarial and variational autoencoders improve metagenomic binning

OpenMS 3 expands the frontiers of open-source computational mass spectrometry

Taxometer: Improving taxonomic classification of metagenomics contigs

Machine learning and deep learning applications in microbiome research

Precision diagnostic approach to predict 5-year risk for microvascular complications in type 1 diabetes

Machine learning methods for metabolomics data analysis

Bi-modal variational autoencoders for metabolite identification using tandem mass spectrometry

Svetlana Kutuzova Information

University

Position

___

Citations(all)

146

Citations(since 2020)

142

Cited By

37

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Svetlana Kutuzova Skills & Research Interests

representation learning

autoencoders

chemometrics

scientific software

metagenome

Top articles of Svetlana Kutuzova

OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data

Nature Methods

2024/2/16

Adversarial and variational autoencoders improve metagenomic binning

Communications Biology

2023/10/21

Svetlana Kutuzova
Svetlana Kutuzova

H-Index: 1

Simon Rasmussen
Simon Rasmussen

H-Index: 47

Taxometer: Improving taxonomic classification of metagenomics contigs

bioRxiv

2023

Machine learning and deep learning applications in microbiome research

2022/10/6

Precision diagnostic approach to predict 5-year risk for microvascular complications in type 1 diabetes

EBioMedicine

2022/6/1

Machine learning methods for metabolomics data analysis

2022

Svetlana Kutuzova
Svetlana Kutuzova

H-Index: 1

Bi-modal variational autoencoders for metabolite identification using tandem mass spectrometry

bioRxiv

2021/8/4

Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

arXiv preprint arXiv:2101.07240

2021/1/18

SmartPeak automates targeted and quantitative metabolomics data processing

Analytical Chemistry

2020/12/3

See List of Professors in Svetlana Kutuzova University(Danmarks Tekniske Universitet)

Co-Authors

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