Vladimir Gritsenko

ORCID: 0000-0003-2676-8256
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About
Contact & Profiles
Research Areas
  • Neural Networks and Applications
  • Antifungal resistance and susceptibility
  • Plant-Microbe Interactions and Immunity
  • Neuroendocrine regulation and behavior
  • Medical Image Segmentation Techniques
  • Fungal Infections and Studies
  • Image Retrieval and Classification Techniques
  • Collaboration in agile enterprises
  • Nail Diseases and Treatments
  • Knowledge Management and Sharing
  • Advanced Data Processing Techniques
  • Biomedical Text Mining and Ontologies
  • Circadian rhythm and melatonin
  • Image Processing and 3D Reconstruction
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Semantic Web and Ontologies
  • Wikis in Education and Collaboration
  • Team Dynamics and Performance
  • Neuroscience and Music Perception
  • Innovative Educational Technologies
  • Child and Animal Learning Development
  • Advanced Scientific Research Methods
  • Genetics, Aging, and Longevity in Model Organisms
  • Information Systems and Technology Applications

Hebrew University of Jerusalem
2020-2023

International Research and Training Center
2022

Luleå University of Technology
2022

National Academy of Sciences of Ukraine
2015-2021

Tel Aviv University
2018-2021

Ministry of Education and Science
2015-2021

North Carolina State University
2016

Memorial Hospital of South Bend
2007

V.M. Glushkov Institute of Cybernetics
1997

Comprehensive understanding of an organism requires that we understand the contributions most, if not all, its genes. Classical genetic approaches to this issue have involved systematic deletion each gene in genome, with comprehensive sets mutants available only for very-well-studied model organisms. We took a different approach, harnessing power vivo transposition coupled deep sequencing identify >500,000 mutations, one per cell, prevalent human fungal pathogen Candida albicans and map...

10.1128/mbio.02048-18 article EN cc-by mBio 2018-10-29

Candida albicans is a prevalent human fungal commensal and also pathogen that causes life-threatening systemic infections. Treatment failures are frequent because few therapeutic antifungal drug classes available resistance tolerance limit efficacy.

10.1128/mbio.02272-21 article EN cc-by mBio 2021-08-31

The high morbidity and mortality of cryptococcal meningitis is due to the limited range therapeutic options: only three classes antifungal drugs are available (polyenes [amphotericin B], azoles [fluconazole], pyrimidine analogues [flucytosine]). Fluconazole most widely used drug in sub-Saharan Africa, where a major cause death patients infected with HIV. In this study, we found that exposure fluconazole, even for short times (48 h) at subinhibitory concentrations, drove rapid adaptation...

10.1128/spectrum.00723-21 article EN Microbiology Spectrum 2021-09-29

A major goal in neuroscience is to elucidate the principles by which memories are stored a neural network. Here, we have systematically studied how four types of associative (short- and long-term memories, each as positive negative associations) encoded within compact network

10.7554/elife.74434 article EN cc-by eLife 2023-05-04

In the digital age, group communication migrates online. Web forums serve as hubs for people who work together to solve particular problems. This study uses qualitative content analysis and interviews determine whether discussion threads on an IT user forum could be viewed in traditional scholarly interpretation of term. The findings suggest that online dwelling non-mainstream issues have all five features face-to-face – size, interdependence, task, identity, norms. concludes though...

10.1016/j.sbspro.2016.12.004 article EN Procedia - Social and Behavioral Sciences 2016-12-01

Summary A major goal in neuroscience is to elucidate the principles by which memories are stored a neural network. Here, we have systematically studied how four types of associative (short- and long-term memories, each formed using positive negative associations) encoded within compact network C. elegans worms. Interestingly, short-term, but not long-term, evident sensory system. Long-term relegated inner layers network, allowing system resume innate functionality. Furthermore, small set...

10.1101/2020.06.20.162818 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-06-21

The purpose of the research is to develop a universal algorithm for partial texture segmentation any visual images. main peculiarity proposed procedure extraction only homogeneous fine-grained segments present in At first, an initial seed point found largest and most segment image. This expanded using region growing method. Other image are extracted analogously turn. second stage, merging belonging same class performed. Then, detected input neural network with competitive layers which...

10.4236/jsip.2020.114005 article EN Journal of Signal and Information Processing 2020-01-01

The use of DR allows developing regularization methods for obtaining a stable solution discrete ill-posed inverse problems, increasing the computational efficiency and accuracy their solution, analyzing analytically solution.Thus DRs allow information technologies applying them.Conclusions.DRs various data types can be used to improve intelligence level technologies.DRs have been developed both weakly structured data, such as vectors, complex representations objects, sequences, graphs...

10.15407/kvt194.04.007 article EN Kibernetika i vyčislitelʹnaâ tehnika 2018-12-09

The paper reviews the state of art in structural recognition − one areas modern pattern recognition. It is shown that main problems go beyond machine learning, and thereby slightly moderates revived idea problem completely exhausted by learning problem. At same time, it basic concepts form base for formalizing a certain class thought processes differ from are called imaginative thinking. mathematical works included review classical theory Constraint Satisfaction Problem acknowledged...

10.1615/jautomatinfscien.v52.i5.50 article EN Journal of Automation and Information Sciences 2020-01-01

Introduction. The expediency of reapplication ontology in applied intelligent information systems (IIS), which are focused on functioning the open Web environment basis ofSemantic technologies, is substantiated work.Features storage and management platforms their metadata analyzed.Possibilities searching repositories reuse IIS considered.The mechanisms search based semantic processing metadata, analysis structure using metrics similarity between concepts related to current user task presented.

10.15407/kvt205.03.005 article EN cc-by-nc Cybernetics and computer engineering 2021-09-11

The Ukrainian Society, after introducing the computer literacy course for secondary schools in 1986, is trying to reach next stage of digital through development a National Informatization Programme. Some results programme are described: incorporation telematics into educational system and Internet teachers students, free charge local languages; regional nodes institutions their national network; participation non-governmental organizations financing programmes; ethics Net-Codex. Ukraine, as...

10.1006/iilr.1997.0061 article EN The International Information & Library Review 1997-09-01

A new heuristic algorithm is proposed for extraction of all homogeneous fine-grained texture segments present in any visual image. The extracted by this should comply with human understanding areas. sequentially extracts from more to less ones. belongs a region growing approach. So, each segment, an initial seed point found which then grown through its adjacent neighborhoods till the segment borders. examines neighboring pixels using features image means set windows. segmentation process...

10.14311/nnw.2017.%x article EN Neural Network World 2017-10-02

Україна МОДЕЛI ТА МЕТОДИ ВИКОРИСТАННЯ СЕМАНТИЧНИХ WIKI-РЕСУРСIВ ЯК ДЖЕРЕЛА ЗНАНЬ ДЛЯ ПОПОВНЕННЯ ФОРМАЛЬНИХ ОНТОЛОГIЙ ПРЕДМЕТНИХ ОБЛАСТЕЙРозглянуто доцільність застосування онтологій для подання знань у системах штучного інтелекту, орієнтованих на функціонування відкритому середовищі Web

10.15407/kvt192.02.023 article UK Kibernetika i vyčislitelʹnaâ tehnika 2018-06-21

Introduction.Current progress in the field of specialized Artificial Intelligence is associated with use Deep Neural Networks.However, they have a number disadvantages: need for huge data sets learning, complexity learning procedures, excessive specialization training set, instability to adversarial attacks, lack integration knowledge world, problems operating structures known as binding or composition problem.Over-

10.15407/kvt208.02.005 article EN cc-by-nc Cybernetics and computer engineering 2022-07-19
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