Personal information

Websites & social links

Riga Technical University homepage
DITEF homepage
RTU ORTUS Expert profile
LinkedIn Profile

Other IDs

ResearcherID: D-3572-2016
Scopus Author ID: 55584791142
ResearcherID: D-3572-2016

Keywords

artificial intelligence, intelligence, artificial neural networks, memory architectures

Countries

Latvia

Biography

- Extensive background in IT systems backend engineering in international teams.
- University BSc MSc courses preparation - AI related.
- Data Science, Machine Learning, Deep Learning, Vision Models, Document Understanding, Agentic workflows (LLM).
- AI solutions productionalization.

Activities

Collapse all

Employment (5)

Riga Technical University: Riga, LV

2020-01-01 to present | Researcher (Institute of Applied Computer Systems)
Employment
Source: Self-asserted source
Andrey Bondarenko

CTCo SIA: Riga, LV

2006 to present | Senior Data Scientist
Employment
Source: Self-asserted source
Andrey Bondarenko

Rīgas Tehniskā Universitāte: Riga, Latvia: Riga, LV

2010 to 2020 | Researcher (DITF)
Employment
Source: Self-asserted source
Andrey Bondarenko

Latvian Cancer Center: Riga, LV

2004 to 2006 | Systems Engineer (Computing Center)
Employment
Source: Self-asserted source
Andrey Bondarenko

FastSoft SIA: Riga, LV

2004 to 2004 | 1C Developer
Employment
Source: Self-asserted source
Andrey Bondarenko

Education and qualifications (3)

Rīgas Tehniskā Universitāte: Riga, LV

2010 to 2020 | Ph.D. (DITF)
Education
Source: Self-asserted source
Andrey Bondarenko

Transport and Communicatation Institute: Riga, LV

2004 to 2006 | Ms.Comp.Sc.
Education
Source: Self-asserted source
Andrey Bondarenko

Univesrity of Latvia: Riga, LV

2000 to 2004 | Bs.Comp.Sc. (Physics and Mathematics)
Education
Source: Self-asserted source
Andrey Bondarenko

Professional activities (1)

ISMA: Riga, LV

2024-01-01 to present | BSc IT Program Director (IT)
Service
Source: Self-asserted source
Andrey Bondarenko

Works (24)

Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation

Sensors
2023 | Journal article
DOI: 10.3390/s23198337
EID:

2-s2.0-85174034463

Part of ISSN: 14248220
Contributors: Jumutc, V.; Suponenkovs, A.; Bondarenko, A.; Bļizņuks, D.; Lihachev, A.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier

Analysis of divergent bifurcations in the dynamics of wheeled vehicles

Mechanical Sciences
2022 | Journal article
DOI: 10.5194/MS-13-321-2022
WOSUID: WOS:000777607300001
Contributors: Verbitskii, Vladimir; Lobas, Vlad; Misko, Yevgen; Bondarenko, Andrey
Source: check_circle
Web of Science Researcher Profile Sync

At the Pulse of Time: Machine Vision in Retinal Videos

Acta Neurochirurgica, Supplementum
2022 | Book chapter
DOI: 10.1007/978-3-030-85292-4_34
EID:

2-s2.0-85120874349

Part of ISSN: 21978395 00651419
Contributors: Hamann, T.; Wiest, M.; Mislevics, A.; Bondarenko, A.; Zweifel, S.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier

Brain Electrical Bioactivity Informational Specifics in Relation to Behavioural and Cognitive Functions in Children with Learning Difficulties

bioRxiv
2022 | Other
DOI: 10.1101/2022.12.30.522305
EID:

2-s2.0-85147375128

Part of ISSN: 26928205
Contributors: Tolmacha, N.; Pudvosky, K.; Vandans, J.; Bondarenko, A.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier
grade
Preferred source (of 2)‎

Multi-Class CNN for Classification of Multispectral and Autofluorescence Skin Lesion Clinical Images

Journal of Clinical Medicine
2022 | Journal article
DOI: 10.3390/jcm11102833
EID:

2-s2.0-85130182938

Part of ISSN: 20770383
Contributors: Lihacova, I.; Bondarenko, A.; Chizhov, Y.; Uteshev, D.; Bliznuks, D.; Kiss, N.; Lihachev, A.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier
grade
Preferred source (of 2)‎

Detecting conversion to exudative neovascular age-related macular degeneration using machine learning

Investigative Ophthalmology & Visual Science
2021 | Journal article
WOSUID: WOS:000690760500124
Contributors: Zweifel, Sandrine; Wiest, Maximilian; Mislevics, Anton; Peremot, Daryna; Bondarenko, Andrey; Fasler, Katrin; Hamann, Timothy
Source: check_circle
Web of Science Researcher Profile Sync

Deep learning model deploying on embedded skin cancer diagnostic device

Proceedings of SPIE - The International Society for Optical Engineering
2020 | Conference paper
DOI: 10.1117/12.2582108
EID:

2-s2.0-85096544430

Part of ISBN: 9781510639997
Part of ISSN: 1996756X 0277786X
Contributors: Bliznuks, D.; Cibulska, E.; Bondarenko, A.; Chizhov, Y.; Lihacova, I.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier
grade
Preferred source (of 2)‎

Embedded neural network system for microorganisms growth analysis

Progress in Biomedical Optics and Imaging - Proceedings of SPIE
2020 | Conference paper
DOI: 10.1117/12.2564404
EID:

2-s2.0-85084189595

Part of ISBN: 9781510637184
Part of ISSN: 16057422
Contributors: Bliznuks, D.; Chizhov, Y.; Bondarenko, A.; Uteshev, D.; Liepins, J.; Zolins, S.; Lihachev, A.; Lihacova, I.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier
grade
Preferred source (of 2)‎

Identification of the most informative wavelengths for non-invasive melanoma diagnostics in spectral region from 450 to 950 nm

Progress in Biomedical Optics and Imaging - Proceedings of SPIE
2020 | Conference paper
DOI: 10.1117/12.2564382
EID:

2-s2.0-85084189826

Part of ISBN: 9781510637221
Part of ISSN: 16057422
Contributors: Bliznuks, D.; Chizhov, Y.; Bondarenko, A.; Uteshev, D.; Lihachev, A.; Lihacova, I.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier
grade
Preferred source (of 2)‎

Use of machine learning approaches to improve non-invasive skin melanoma diagnostic method in spectral range 450 - 950nm

Proceedings of SPIE - The International Society for Optical Engineering
2020 | Conference paper
DOI: 10.1117/12.2541764
EID:

2-s2.0-85092698434

Part of ISBN: 9781510634787
Part of ISSN: 1996756X 0277786X
Contributors: Bondarenko, A.; Chizhov, Y.; Uteshev, D.; Bliznuks, D.; Lihachev, A.; Lihacova, I.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier
grade
Preferred source (of 2)‎

Automated microorganisms activity detection on the early growth stage using artificial neural networks

Progress in Biomedical Optics and Imaging - Proceedings of SPIE
2019 | Conference paper
DOI: 10.1117/12.2527193
EID:

2-s2.0-85074289107

Part of ISBN: 9781510628434
Part of ISSN: 16057422
Contributors: Bliznuks, D.; Lihachev, A.; Liepins, J.; Uteshev, D.; Chizhov, Y.; Bondarenko, A.; Bolochko, K.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier

Controlling complexity and accuracy of classification decision tree extracted from trained artificial neural network

60th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2019 - Proceedings
2019 | Conference paper
DOI: 10.1109/ITMS47855.2019.8940739
EID:

2-s2.0-85077954556

Part of ISBN: 9781728157092
Contributors: Bondarenko, A.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier

Controlling Complexity and Accuracy of Classification Decision Tree Extracted from Trained Artificial Neural Network

International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)
2019 | Conference paper
WOSUID: WOS:000528792300016
Contributors: Bondarenko, Andrey
Source: check_circle
Web of Science Researcher Profile Sync

Towards to deep neural network application with limited training data: Synthesis of melanoma's diffuse reflectance spectral images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE
2019 | Conference paper
DOI: 10.1117/12.2527173
EID:

2-s2.0-85076892143

Part of ISBN: 9781510628410
Part of ISSN: 16057422
Contributors: Bolochko, K.; Bliznuks, D.; Uteshev, D.; Lihacova, I.; Lihachev, A.; Chizhov, Y.; Bondarenko, A.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier
grade
Preferred source (of 2)‎

Workflow for Knowledge Extraction from Neural Network Classifiers

International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)
2018 | Conference paper
WOSUID: WOS:000465195900007
Contributors: Bondarenko, Andrey; Aleksejeva, Ludmila
Source: check_circle
Web of Science Researcher Profile Sync

Workflow for Knowledge Extraction from Neural Network Classifiers

59th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2018 - Proceedings
2018 | Conference paper
DOI: 10.1109/ITMS.2018.8552964
EID:

2-s2.0-85060060774

Part of ISBN: 9781728100982
Contributors: Bondarenko, A.; Aleksejeva, L.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier

Classification Tree Extraction from Trained Artificial Neural Networks

Procedia Computer Science
2016 | Conference paper
DOI: 10.1016/j.procs.2017.01.172
EID:

2-s2.0-85016020459

Part of ISSN: 18770509
Contributors: Bondarenko, A.; Aleksejeva, L.; Jumutc, V.; Borisov, A.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier
grade
Preferred source (of 2)‎

Neurons vs weights pruning in artificial neural networks

Vide. Tehnologija. Resursi - Environment, Technology, Resources
2015 | Conference paper
DOI: 10.17770/etr2015vol3.166
EID:

2-s2.0-84969524566

Part of ISSN: 16915402
Contributors: Bondarenko, A.; Borisov, A.; Aleksejeva, L.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier

Elliptical Rule Extraction from a Trained Radial Basis Function Neural Network

AICT 2013: APPLIED INFORMATION AND COMMUNICATION TECHNOLOGIES
2013 | Journal article
WOSUID: WOS:000435144200003
Contributors: Bondarenko, Andrey; Borisov, Arkady
Source: check_circle
Web of Science Researcher Profile Sync

Piece-wise classifier application to RBF Neural Network rules extraction

Mendel
2011 | Conference paper
EID:

2-s2.0-84904183135
Contributors: Bondarenko, A.; Zmanovska, T.; Borisov, A.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier

PIECE-WISE CLASSIFIER APPLICATION TO RBF NEURAL NETWORK RULES EXTRACTION

MENDEL 2011 - 17TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING
2011 | Journal article
WOSUID: WOS:000302647900028
Source: check_circle
Web of Science Researcher Profile Sync

Polytope Classifier: A Symbolic Knowledge Extraction from Piecewise-Linear Support Vector Machine

Lecture Notes in Computer Science
2011 | Journal article
DOI: 10.1007/978-3-642-23851-2_7
WOSUID: WOS:000306459800007
Contributors: Jumutc, Vilen; Bondarenko, Andrey
Source: check_circle
Web of Science Researcher Profile Sync
grade
Preferred source (of 2)‎

Decompositional rules extraction methods from neural networks

Mendel
2010 | Conference paper
EID:

2-s2.0-84904156023
Contributors: Bondarenko, A.; Zmanovska, T.; Borisov, A.
Source: Self-asserted source
Andrey Bondarenko via Scopus - Elsevier

DECOMPOSITIONAL RULES EXTRACTION METHODS FROM NEURAL NETWORKS

16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MENDEL 2010
2010 | Journal article
WOSUID: WOS:000288144100041
Source: check_circle
Web of Science Researcher Profile Sync
How many people are using ORCID?