Sintija Stevanoska

1. STEVANOSKA, Sintija, MITRESKI, Kosta, et al. IoT--based system for real-time monitoring and insect detection in vineyards. In: MobiWac '20 : Proceedings of the 18th ACM Symposium on Mobility Management and Wireless Access : November 16–20, 2020, Alicante, Spain. New York: Association for Computing Machinery, cop. 2025. Str. 133-136, ilustr. ISBN 978-1-4503-8119-2. https://dl.acm.org/doi/10.1145/3416012.3424634. [COBISS.SI-ID 254508035]

2. HRIBAR, Uroš, STEVANOSKA, Sintija, SPREITZER, Matjaž, KOENIG, Jakob, DŽEROSKI, Sašo. Modeling the relation between processing parameters and material properties in foamed glass production with machine learning : presented at the ML4M 2022, Young researcher's workshop on Machine learning for materials, 9-13 May 2022, SISSA Miramare Campus Trieste, Italy. https://ml4m.xyz/info-booklet/. [COBISS.SI-ID 109229827]

3. STEVANOSKA, Sintija, DŽEROSKI, Sašo. Multi-target prediction with dimensionality reduction. In: NOVAK, Rok (ed.), et al. 14. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana = 14th Jožef Stefan International Postgraduate School Students' Conference : knjiga povzetkov = book of abstracts : 1. - 3. junij 2022, Kamnik, Slovenia = 1st - 3rd June, 2022, Kamnik, Slovenia. 14. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana, 1. - 3. junij 2022, Kamnik, Slovenia = 14th Jožef Stefan International Postgraduate School Students' Conference, 1st - 3rd June, 2022, Kamnik, Slovenia. Ljubljana: Jožef Stefan Institute: Jožef Stefan International Postgraduate School, 2022. Str. 58. http://ipssc.mps.si/Book_of_Abstracts.pdf. [COBISS.SI-ID 139180291]

4. JENUŠ, Petra, STEVANOSKA, Sintija, ŠTURM, Sašo, DŽEROSKI, Sašo. Relating the composition and mechanical properties of tungsten-based composites by using machine learning. In: ML4M 2022 : Young researcher's workshop on Machine learning for materials : abstract book : 9-13 May 2022 SISSA Miramare Campus Trieste, Italy. [S. l.: s. n.], 2022. Str. 33. https://ml4m.xyz/info-booklet/. [COBISS.SI-ID 109096707]

5. DLOUHY, Matjaž, STEVANOSKA, Sintija, GAŠPARIČ, Lea, KOKALJ, Anton, DŽEROSKI, Sašo. Towards predicting corrosion inhibitors’ performance with machine learning : presented at the ML4M 2022, Young researcher's workshop on Machine learning for materials, 9-13 May 2022, SISSA Miramare Campus Trieste, Italy. https://ml4m.xyz/info-booklet/. [COBISS.SI-ID 109233155]

6. KAMŠEK, Ana Rebeka, STEVANOSKA, Sintija, BELE, Marjan, VODEB, Ožbej, JOVANOVIČ, Primož, HODNIK, Nejc, DŽEROSKI, Sašo. Using machine learning to predict activity from synthesis parameters for PtCu alloy fuel cell nanoparticulate electrocatalysts : presented at the ML4M 2022, Young researcher's workshop on Machine learning for materials, 9-13 May 2022, SISSA Miramare Campus Trieste, Italy. https://ml4m.xyz/info-booklet/. [COBISS.SI-ID 109231875]

7. BENČAN, Andreja, OTONIČAR, Mojca, ŽIBERNA, Katarina, CONDURACHE, Oana, KOBLAR, Maja, ŠTURM, Sašo, ČEH, Miran, KOMELJ, Matej, SEMSARI PARPARI, Sorour, SRŠAN, Vinko, KOKALJ, Anton, DLOUHY, Matjaž, POBERŽNIK, Matic, GAŠPARIČ, Lea, DŽEROSKI, Sašo, STEVANOSKA, Sintija, STOIMCHEV, Marjan, KOCEV, Dragi, PANOV, Panče, TCHERNYCHOVA, Elena, BADAR ABBASI, Rabail, REMS, Ervin, KOPAČ LAUTAR, Anja, KAPUN, Gregor, DRAŽIĆ, Goran, RUIZ-ZEPEDA, Francisco, KAMŠEK, Ana Rebeka, HRNJIĆ, Armin, BIJELIĆ, Lazar. Annual progress project report : 4D STEM of energy related materials down to quantum level ‐ J7‐4637 (D 3.1.1.) : period : 1. 10. 2022 – 1.10. 2023. [Ljubljana: Jožef Stefan Institute, 2023]. 1 spletni vir (1 datoteka PDF (17 str.)), ilustr. IJS delovno poročilo, 14518. https://www.ijs.si/ijsw/. [COBISS.SI-ID 177108995]

8. LJONCHEVA, Milka, STEVANOSKA, Sintija, KOSJEK, Tina, DŽEROSKI, Sašo. GC-EI-MS datasets of trimethylsilyl (TMS) and tert-butyl dimethyl silyl (TBDMS) derivatives for development of machine learning-based compound identification approaches. Data in brief. Jun. 2023, vol. 48, [article no.] 109138, str. 1-10, tabele. ISSN 2352-3409. https://www.sciencedirect.com/science/article/pii/S2352340923002573, DOI: 10.1016/j.dib.2023.109138. [COBISS.SI-ID 151279619]

9. DŽEROSKI, Sašo, STEVANOSKA, Sintija. Semi-supervised and active multi-target regression for material design. In: Actively Learning Materials Science : Alto University, Espoo, Finland : book of abstracts. [S. l.: s. n.], 2023. Str. 38, 50. https://sites.utu.fi/al4ms2023/wp-content/uploads/sites/1231/2023/03/AL4MS_2023_AbstractBook.pdf. [COBISS.SI-ID 246207747]

10. BENČAN, Andreja, OTONIČAR, Mojca, ŽIBERNA, Katarina, LACHHAB, Meryem, KOBLAR, Maja, ŠTURM, Sašo, ČEH, Miran, KOMELJ, Matej, SEMSARI PARPARI, Sorour, SRŠAN, Vinko, RAŽNJEVIĆ, Sergej, KOKALJ, Anton, DLOUHY, Matjaž, POBERŽNIK, Matic, GAŠPARIČ, Lea, DŽEROSKI, Sašo, STEVANOSKA, Sintija, STOIMCHEV, Marjan, KOCEV, Dragi, PANOV, Panče, TCHERNYCHOVA, Elena, BADAR ABBASI, Rabail, REMS, Ervin, KOPAČ LAUTAR, Anja, KAPUN, Gregor, DRAŽIĆ, Goran, RUIZ-ZEPEDA, Francisco, KAMŠEK, Ana Rebeka, BIJELIĆ, Lazar. Annual progress project report : 4D STEM of energy related materials down to quantum level ‐ J7‐4637 (D 3.1.2.) : period : 1. 10. 2023 – 1.10. 2024. [Ljubljana: Jožef Stefan Institute, 2024]. 1 spletni vir (1 datoteka PDF (22 str.)), ilustr. IJS delovno poročilo, 14924. https://www.ijs.si/ijsw/. [COBISS.SI-ID 218151171]

11. STEVANOSKA, Sintija, ZAVAŠNIK, Janez, CVELBAR, Uroš, NOMINÉ, Alexandre, DŽEROSKI, Sašo. A closer look at sustainability criteria for high entropy alloys : presented at Actively Learning Materials Science, 13.05.2024 - 17.05.2024 Jožef Stefan Institute, Ljubljana Slovenia. [COBISS.SI-ID 246214659]

12. PLAPER, Tjaša, MERLJAK, Estera, FINK, Tina, SATLER, Tadej, LJUBETIČ, Ajasja, LAINŠČEK, Duško, JAZBEC, Vid, BENČINA, Mojca, STEVANOSKA, Sintija, DŽEROSKI, Sašo, JERALA, Roman. Designed allosteric protein logic. Cell discovery. 16 Jan. 2024, vol. 10, article no. 8, str. 1-15, ilustr. ISSN 2056-5968. https://www.nature.com/articles/s41421-023-00635-y, Repository of the University of Ljubljana – RUL , DOI: 10.1038/s41421-023-00635-y. [COBISS.SI-ID 183898371]

13. STEVANOSKA, Sintija, STOIMCHEV, Marjan, LEVATIĆ, Jurica, DŽEROSKI, Sašo. Dimensionality reduction for efficient semi-supervised learning from remote sensing images : Workshop on Machine Learning for Earth Observation in conjunction with the ECML/PKDD 2024, Vilnius, September 13, 2024. [COBISS.SI-ID 225766403]

14. MRVIČ, Tatjana, STEVANOSKA, Sintija, BEOVIĆ, Bojana, LOGAR, Mateja, GREGORČIČ, Sergeja, ŽNIDARŠIČ, Benica, SEME, Katja, VELIMIROVIĆ, Ivana, ŠVENT-KUČINA, Nataša, MAVER VODIČAR, Polona, KRIŽAN-HERGOUTH, Veronika, DŽEROSKI, Sašo, PIRŠ, Mateja. The impact of COVID-19 on multidrug-resistant bacteria at a Slovenian tertiary medical center. Antibiotics. Mar. 2024, vol. 13, iss. 3, [article no.] 214, str. 1-12, ilustr. ISSN 2079-6382. https://www.mdpi.com/2079-6382/13/3/214, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.3390/antibiotics13030214. [COBISS.SI-ID 188866051]

15. CAMACHO VILLALÓN, Christian Leonardo, STEVANOSKA, Sintija, HRIBAR, Uroš, SPREITZER, Matjaž, KOENIG, Jakob, DŽEROSKI, Sašo. Multi-criteria foamed glass design with multi-target regression and multi-objective optimization : presented at Actively Learning Materials Science, 13.05.2024 - 17.05.2024 Jožef Stefan Institute, Ljubljana Slovenia. [COBISS.SI-ID 246220803]

16. HRIBAR, Uroš, STEVANOSKA, Sintija, CAMACHO VILLALÓN, Christian Leonardo, SPREITZER, Matjaž, KOENIG, Jakob, DŽEROSKI, Sašo. Optimizing foamed glass production with machine learning. Materials & design. Sep. 2025, vol. 257, str. 1-8, ilustr. ISSN 1873-4197. https://www.sciencedirect.com/science/article/pii/S0264127525008792?via%3Dihub, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1016/j.matdes.2025.114459. [COBISS.SI-ID 246226691]

17. STEVANOSKA, Sintija, DOST, Katharina, CAMACHO VILLALÓN, Christian Leonardo, DŽEROSKI, Sašo. Selecting unlabeled data for tabular self-supervised learning. In: DŽEROSKI, Sašo (ed.), et al. Discovery science. Part 1 : 28th International Conference, DS 2025, Ljubljana, Slovenia, September 23–25, 2025 : proceedings. Cham: Springer, cop. 2025. Str. 237–251, ilustr. Lecture notes in computer science (Internet), Lecture notes in artificial intelligence, 16090. ISBN 978-3-032-05461-6. ISSN 1611-3349. https://link.springer.com/chapter/10.1007/978-3-032-05461-6_16, DOI: 10.1007/978-3-032-05461-6_16. [COBISS.SI-ID 254256387]

18. STEVANOSKA, Sintija. Self-supervised learning for label-efficient benchmarking of optimizer performance : "the science of benchmarking and evaluating AI", Workshop, EurIPS 2025 (Dec 6, Copenhagen). [COBISS.SI-ID 260582403]

19. STEVANOSKA, Sintija, LEVATIĆ, Jurica, DŽEROSKI, Sašo. Semi-supervised learning from tabular data with autoencoders : when does it work? : AI for Tabular Data EurIPS 2025 (Dec 6, Copenhagen). [COBISS.SI-ID 260644611]

20. STEVANOSKA, Sintija, LEVATIĆ, Jurica, DŽEROSKI, Sašo. Semi-supervised learning from tabular data with autoencoders : when does it work?. Machine learning. 1-46 str., ilustr. ISSN 1573-0565. https://link.springer.com/article/10.1007/s10994-025-06898-8, DOI: 10.1007/s10994-025-06898-8. [COBISS.SI-ID 254259459]

21. STEVANOSKA, Sintija, STOIMCHEV, Marjan, LEVATIĆ, Jurica, DŽEROSKI, Sašo. Dimensionality reduction for efficient semi-supervised learning from remote sensing images. In: CERRATO, Mattia (ed.). Machine learning and principles and practice of knowledge discovery in databases. Part III : International Workshops of ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024 : revised selected papers : Conference proceedings. Cham: Springer, cop. 2026. Str. 231–241, ilustr. Communications in computer and information science (Internet), 2560. ISBN 978-3-032-25311-8. ISSN 1865-0937. https://link.springer.com/chapter/10.1007/978-3-032-25311-8_19, DOI: 10.1007/978-3-032-25311-8_19. [COBISS.SI-ID 287088643]

22. STEVANOSKA, Sintija, CAMACHO VILLALÓN, Christian Leonardo, DŽEROSKI, Sašo, DOST, Katharina. Less is more : unlabeled data selection for efficient tabular self-supervised learning. Machine learning. 29. Aug. 2026, vol. 115, article no. 208, str. 1-36, ilustr. ISSN 1573-0565. https://link.springer.com/article/10.1007/s10994-026-07133-8, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1007/s10994-026-07133-8. [COBISS.SI-ID 289938691]