VU Duomenų mokslo ir skaitmeninių technologijų instituto / Matematikos ir informatikos instituto autoriaus (-ių) 'Povilas Gudžius' publikacijų sąrašas (pagal Lietuvos akademinių bibliotekų tinklo (LABT) publikacijų bazes VUB [nuo 2011 m. iki dabar] ir LMAVB [iki 2010 m. imtinai]):
Publications of 'Povilas Gudžius', VU Institute of Data Science and Digital Technologies / Institute of Mathematics and Informatics (based on 1. Lithuanian Academic Library Network (LABT) database of Vilnius University Library [since 2011 until now] and 2. LABT database of Wroblewski Library of the Lithuanian Academy of Sciences [until 2010]):
Eil. Nr. Publikacija
1Gudžius, Povilas; Kurasova, Olga; Darulis, Vytenis; Filatovas, Ernestas. AutoML-based neural architecture search for object recognition in satellite imagery // Remote sensing. Basel : MDPI. eISSN 2072-4292. 2023, vol. 15, iss. 1, art. no. 91, p. [1-24]. DOI: 10.3390/rs15010091.
2Gudžius, Povilas; Kurasova, Olga; Darulis, Vytenis; Filatovas, Ernestas. Deep learning‑based object recognition in multispectral satellite imagery for real‑time applications // Machine vision and applications. New York : Springer. ISSN 0932-8092. eISSN 1432-1769. 2021, vol. 32, no. 4, art. no. 98, p. [1-14]. DOI: 10.1007/s00138-021-01209-2.
3Gudžius, Povilas; Kurasova, Olga; Filatovas, Ernestas. Optimal U-net architecture for object recognition problems in multispectral satellite imagery // IEEE/ACS 16th international conference on computer systems and applications (AICCSA), 3 November to 7 November 2019, Abu Dhabi, UAE. New York : IEEE, 2019. ISBN 9781728150529. p. [1-2]. (International conference on computer systems and applications, ISSN 2161-5322). DOI: 10.1109/AICCSA47632.2019.9035305.
4Gudžius, Povilas; Kurasova, Olga; Filatovas, Ernestas. Satellite imagery application to financial markets via machine learning // 9th International workshop on Data Analysis Methods for Software Systems (DAMSS), Druskininkai, Lithuania, November 30 - December 2, 2017. Vilnius : Vilniaus universitetas, 2017. ISBN 9789986680642. p. 20. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2017.pdf>.