Staff

Research Work

• Analysis of large data sets;
• Data mining;
• Optimization theory and applications;
• Visualization of multidimensional data;
• Artificial neural networks;
• Parallel computing;
• Internet data mining;
• Medical data analysis and decision support;
• Image analysis.

Scientific publications

Main publications:

1. Virbukaitė, Sandra; Bernatavičienė, Jolita. Deep Neural Networks application for Cup-to-Disc ratio estimation in eye fundus images // Proceedings of the 18th conference on computer science and intelligence systems, September 17–20, 2023. Warsaw, Poland / Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Ślęzak (eds.). Warsaw : Polskie Towarzystwo Informatyczne, 2023. eISBN 9788396744784. p. 1191-1195. (Annals of computer science and information systems, ISSN 2300-5963 ; vol. 35). DOI: 10.15439/2023F944.<\li>
2. Ruminavičiūtė, Gabrielė; Bernatavičienė, Jolita. Ensemble for quality assessment of eye fundus images involving deep learning methods // 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), 20–23 June 2023, Aveiro, Portugal. New York : IEEE, 2023. ISBN 9798350305272. eISBN 9789893347928. ISSN 2166-0727. eISSN 2166-0727. p. [1-6]. DOI: 10.23919/CISTI58278.2023.10211416.</\li>
3. Dzemyda, Gintautas; Bernatavičienė, Jolita; Kacprzyk, Janusz. Preface [Data science in applications] // Data science in applications / editors: Gintautas Dzemyda, Jolita Bernatavičienė, Janusz Kacprzyk. Cham : Springer International Publishing, 2023. ISBN 9783031244520. eISBN 9783031244537. p. v-ix. (Studies in Computational Intelligence, ISSN 1860-949X, eISSN 1860-9503 ; vol. 1084).
4. Dzemyda, Gintautas (sudarytojas); Bernatavičienė, Jolita (sudarytojas); Kacprzyk, Janusz (sudarytojas). Data Science in Applications / editors: Dzemyda, Gintautas, Bernatavičienė, Jolita, Kacprzyk, Janusz. Cham : Springer, 2023. XII, 252 p. (Studies in Computational Intelligence, ISSN 1860-949X, eISSN 1860-9503 ; vol. 1084). ISBN 9783031244520. eISBN 9783031244537. DOI: 10.1007/978-3-031-24453-7.
5. Melnik-Leroy, Gerda Ana; Bernatavičienė, Jolita; Korvel, Gražina; Navickas, Gediminas; Tamulevičius, Gintautas; Treigys, Povilas. An overview of Lithuanian intonation: a linguistic and modelling perspective // Informatica. Vilnius : Vilniaus universiteto leidykla. ISSN 0868-4952. eISSN 1822-8844. 2022, vol. 33, iss. 4, p. 795-832. DOI: 10.15388/22-INFOR502.
6. Markevičiūtė, Jurgita; Bernatavičienė, Jolita; Levulienė, Rūta; Medvedev, Viktor; Treigys, Povilas; Venskus, Julius. Impact of COVID-19-related lockdown measures on economic and social outcomes in Lithuania // Mathematics. Basel : MPDI. eISSN 2227-7390. 2022, vol. 10, no. 15, art. no. 2734, p. [1-20]. DOI: 10.3390/math10152734.
7. Vaitulevičius, Aleksas; Surkant, Roman; Treigys, Povilas; Markevičiūtė, Jurgita; Trakymas, Mantas; Bernatavičienė, Jolita; Naruševičiūtė, Ieva. DCE MRI modality investigation for cancerous prostate region detection: case analysis // Journal of WSCG. Plzen : Union Agency Science Press. ISSN 1213-6972. eISSN 1213-6964. 2022, vol. 2022, CSRN3201, p. 48-55. DOI: 10.24132/CSRN.3201.7.
8. Motuzienė, Violeta; Bielskus, Jonas; Lapinskienė, Vilūnė; Rynkun, Genrika; Bernatavičienė, Jolita. Office buildings occupancy analysis and prediction associated with the impact of the COVID-19 pandemic // Sustainable cities and society. Amsterdam : Elsevier Ltd. ISSN 2210-6707. eISSN 2210-6715. 2022, vol. 77, art. no. 103557, p. 1-12. DOI: 10.1016/j.scs.2021.103557.
9. Jucevičius, Justinas; Treigys, Povilas; Bernatavičienė, Jolita; Briedienė, Rūta; Naruševičiūtė, Ieva; Trakymas, Mantas. Investigation of MRI prostate localization using different MRI modality scans // 2020 IEEE 8th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), 22-24 April 2021, Vilnius. Piscataway, NJ : IEEE., 2021. ISBN 9781665430876. eISBN 9781665425384. eISSN 2689-7342. p. [1-5]. DOI: 10.1109/AIEEE51419.2021.9435797.
10. Markevičiūtė, Jurgita; Bernatavičienė, Jolita; Levulienė, Rūta; Medvedev, Viktor; Treigys, Povilas; Venskus, Julius. Attention-based and time series models for short-term forecasting of COVID-19 spread // CMC-Computers, materials & continua. Henderson, NV : TECH Science Press. ISSN 1546-2218. eISSN 1546-2226. 2022, vol. 70, no. 1, p. 695-714. DOI: 10.32604/cmc.2022.018735.
11. Tamulevičius, Gintautas; Korvel, Gražina; Yayak, Anil Bora; Treigys, Povilas; Bernatavičienė, Jolita; Kostek, Božena. A study of cross-linguistic speech emotion recognition based on 2D feature spaces // Electronics. Basel : MDPI AG. ISSN 2079-9292. eISSN 2079-9292. 2020, vol. 9, iss. 10, art. no. 1725, p. [1-13]. DOI: 10.3390/electronics9101725.
12. Dzemyda, Gintautas; Bernatavičienė, Jolita; Kacprzyk, Janusz. Preface // Data science: new issues, challenges and applications / Dzemyda, Gintautas, Bernatavičienė, Jolita, Kacprzyk, Janusz (Eds.) : Springer, 2020. ISBN 9783030392499. eISBN 9783030392505. p. V-XII. (Studies in Computational Intelligence, ISSN 1860-949X, eISSN 1860-9503 ; vol. 869). Prieiga per internetą: < a href="https://link.springer.com/content/pdf/bfm%3A978-3-030-39250-5%2F1.pdf"> https://link.springer.com/content/pdf/bfm%3A978-3-030-39250-5%2F1.pdf.
13. Treigys, Povilas; Korvel, Gražina; Tamulevičius, Gintautas; Bernatavičienė, Jolita; Kostek, Bożena. Investigating feature spaces for isolated word recognition // Data science: new issues, challenges and applications / Dzemyda, Gintautas, Bernatavičienė, Jolita, Kacprzyk, Janusz (Eds.). Cham : Springer, 2020. ISBN 9783030392499. eISBN 9783030392505. p. 165-181. (Studies in computational intelligence, ISSN 1860-949X, eISSN 1860-9503 ; 869). DOI: 10.1007/978-3-030-39250-5_9.
14. Dzemyda, Gintautas (red.); Bernatavičienė, Jolita (red.); Kacprzyk, Janusz (red.). Data science: New issues, Challenges and applications / Editors: Dzemyda, Gintautas, Bernatavičienė, Jolita, Kacprzyk, Janusz. Cham : Springer, 2020. 331 p. (Studies in computational intelligence, ISSN 1860-949X, eISSN 1860-9503 ; vol. 869). ISBN 9783030392499. eISBN 9783030392505. DOI: 10.1007/978-3-030-39250-5.
15. Venskus, Julius; Treigys, Povilas; Bernatavičienė, Jolita; Tamulevičius, Gintautas; Medvedev, Viktor. Real-time maritime traffic anomaly detection based on sensors and history data embedding // Sensors. Basel : MDPI. ISSN 1424-8220. 2019, vol. 19, no. 17, art. no. 3782, p. 1-10. DOI: 10.3390/s19173782.
16. Stabingis, Giedrius; Bernatavičienė, Jolita; Dzemyda, Gintautas; Paunksnis, Alvydas; Stabingienė, Lijana; Treigys, Povilas; Vaičaitienė, Ramutė. Adaptive eye fundus vessel classification for automatic artery and vein diameter ratio evaluation // Informatica. Vilnius : Vilniaus universitetas Matematikos ir informatikos institutas. ISSN 0868-4952. eISSN 1822-8844. 2018, vol. 29, no 4, p. 757-771. DOI: 10.15388/Informatica.2018.191.
17. Morkūnas, Mindaugas; Treigys, Povilas; Bernatavičienė, Jolita; Laurinavičius, Arvydas; Korvel, Gražina. Machine learning based classification of colorectal cancer tumour tissue in whole-slide images // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas. ISSN 0868-4952. 2018, Vol. 29, no. 1, p. 75-90. DOI: 10.15388/Informatica.2018.158.
18. Stabingis, Giedrius; Bernatavičienė, Jolita; Dzemyda, Gintautas; Paunksnis, Alvydas; Treigys, Povilas; Ramutė, Vaičaitienė; Stabingienė, Lijana. Automatization of eye fundus vessel width measurements // VipIMAGE 2017 : proceedings of the VI ECCOMAS thematic conference on computational vision and medical image processing, Porto, Portugal, October 18-20, 2017 / eds.: João Manuel R.S. Tavares, R.M. Natal Jorge. Cham : Springer Nature, 2018. ISBN 9783319681948. eISBN 9783319681955. p. 787-796. (Lecture notes in computational vision and biomechanics, ISSN 2212-9391, eISSN 2212-9413 ; vol. 27). DOI: 10.1007/978-3-319-68195-5_85.
19. Venskus, Julius; Treigys, Povilas;Bernatavičienė, Jolita; Medvedev, Viktor; Voznak, Miroslav; Kurmis, Mindaugas; Bulbenkienė, Violeta.
    Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic // Informatica / Matematikos ir informatikos institutas. Vilnius: Lietuvos mokslų akademijos leidykla. ISSN: 0868-4952. 2017, Vol. 28, no. 2, p. 359-374.
20. Medvedev, Viktor; Kurasova, Olga; Bernatavičienė, Jolita; Treigys, Povilas; Marcinkevičius, Virginijus; Dzemyda, Gintautas. A New Web-Based Solution for Modelling Data Mining Processes / /Simulation Modelling Practice and Theory: Elsevier, 2017 in press
    http://dx.doi.org/10.1016/j.simpat.2017.03.001.
21. Jucevičius, Justinas; Treigys, Povilas; Bernatavičienė, Jolita; Briedienė, Rūta; Naruševičiūtė, Ieva; Dzemyda, Gintautas; Medvedev, Viktor. Automated 2D segmentation of prostate in T2-weighted MRI scans // International journal of computers communications & control. Oradea: Universitatea Agora. ISSN: 1841-9836, eISSN: 1841-9844. 2017, Vol. 12, No. 1, p. 53-60.

Scientific and other projects

Ongoing Projects: actions:

• National Competence Centres in the framework of EuroHPC, H2020, Project duration 2020-9-1 – 2022-8-31, Project Reference: 951732, participant.
• Nuasmenintų akių dugnų vaizdų bazės kūrimas. Vilnius Region Biomedical Research Committee approval no.:158200-18/11-1057-572, project duration 11-2018 – 10-2030, investigator.

COST actions:

• Open Multiscale Systems Medicine (OpenMultiMed) (COST Association COST Action CA15120) http://www.cost.eu/COST_Actions/ca/CA15120, MC Member
• A new Network of European BioImage Analysts to advance life science imaging (NEUBIAS) COST Association COST Action CA15124, No.http://www.cost.eu/COST_Actions/ca/CA15124, MC substitute

National and international projects:

• COVID-19 Infection in Lithuania: Modelling and Analysis of Social-economic Consequences, project of Research Council of Lithuania, Project Reference: S-COV-20-4, senior researcher
• “Eurostars” joint programme project “Production effectiveness navigator”. No. pen!6232 PEN implementation. No. 31V-27/LSS-580000-407, („Eurostars“ programme). Prof. habil. dr. G. Dzemyda. 2011-2014. (MITA)
• Development of Data Analysis Methods and Tools (2013-02-12 Agreement between "Informatikos mokslų centras" and Vilnius University)
• Innovation voucher No. 31V-109 (JSC "Algoritmų sistemos", MITA): Analysis of optimization strategies, implementation possibilities and methods of Artificial Neural Networks for complex decisions, 2012.
  • ”Information technology tools of clinical decision support and citizens wellness for e.Health system (No. B-07019)” Start date: 09-2007; finish date: 12-2009.
• ”Information technologies for human health – support for clinical decisions (eHealth), IT health (No. C-03013)” Start date: 09-2003; finish date: 10-2006.

Editorial Board and Reviewing

Managing Editor of Baltic Journal of Modern Computing, https://www.bjmc.lu.lv/editorial-board/

Reviewer of internationals:

• Informatica
• Sensors
• Applied Sciences
• Journal of Marine Science and Engineering
• Mathematics
• Biomedical Signal Processing and Control

Science and Education

Phd Students

Defended MSc thesis:

• "Outlier Detection in Multidimensional Streaming Data", 2021. Supervisor: dr. Jolita Bernatavičienė.
• Investigation of Eye Fundus Image Quality on Vascular Segmentation Using Deep Neural Networks. 2022. Supervisor: dr. Jolita Bernatavičienė.
• Evaluation Of Dynamic Contrast in Prostate MRI for Cancerous Tissue Identification. 2022.Supervisor:dr. Jolita Bernatavičienė.
• Forecast of Energy Produced by Solar Power Plants. 2022. Supervisor: dr. Jolita Bernatavičienė.
• Quality Assestment of Eye Fundus Images Using Machine Learning Methods. 2023. Supervisor: dr. Jolita Bernatavičienė.

Presentations at Scientific Conferences

• Ensemble for quality assessment of eye fundus images involving deep learning methods: 18th Iberian Conference on Information Systems and Technologies (CISTI), 20–23 June 2023, Aveiro, Portugal.
• Solar Power Forecasting Using LSTM Networks: Comparative Analysis, EURO 2022 Espoo, Finland, 3 – 6 July, 2022
• Automatization of eye fundus vessel width measurements // VipIMAGE 2017 : proceedings of the VI ECCOMAS thematic conference on computational vision and medical image processing, Porto, Portugal, October 18-20, 2017.
• 11th international conference “Computer data analysis and modeling: theoretical and applied stochastics”, Minsk, September 6-10, Minsk:BSU, 2016
• EURO2016 : 28th European Conference on Operation Research, July 3-6, 2016, Poznan University of Technology, Poznan, Poland
• The conference "ASMDA 2015” 16th Applied Stochastic Models and Data Analysis International Conference with 4th Demographics 2015 Workshop, 30 June - 4 July 2015
• 10th international conference “Computer data analysis and modeling: theoretical and applied stochastics”, Minsk, September 10-14, Minsk:BSU, 2013.
• The 20th international conference EURO mini conference "Continuous optimization and knowledge-based technologies" EurOPT'2008 : May 20-23, 2008, Neringa, Lithuania
• The 8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006. Zakopane, Poland. June 25-29, 2006.
• WSCG'2005: the 13-th International conference in Central Europe on computer graphics, visualization and computer vision 2005 in co-operation with Eurographics. Plzen: University of West Bohemia, 2005

Qualification

• ERASMUS training visit at University of Aveiro, Portugal, 2022 May 2 − 6. The aim of the visit was to present the International projects of the Institute of Data Science and Digital Technogies, Vilnius university and discuss new possibilities of International cooperation with the Unviversity of Aveiro.
• ERASMUS lecturing visit at University of Aveiro, Portugal, 2019 September 23 −27. Title of the teaching programme: Data Mining and Optimisation Applications in Medical Image Analysis.
• ERASMUS lecturing visit at University of Almeria, Spain, 2018 April 9 − April 13. Title of the teaching programme: Data Mining Application in Medical Image Analysis.

Other activities

• Member of IEEE Computer society section (since 2022).
• Member of Lithuanian Computer Society em>.