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Luka Pečnik
Personal bibliography for the period 2018-2025
2018
1.
PEČNIK, Luka. Kognitivne storitve storitvene platforme Microsoft Azure : diplomsko delo. [Maribor: L. Pečnik, 2018]. IX, 57 str., ilustr. Digital Library of the University of Maribor – DLUM. [COBISS.SI-ID 21745430]
2019
2.
KAVRAN, Domen, NOVAK, Robi, BANKO, Jan, POTOČNIK, Rok, PEČNIK, Luka, BOŠKOVIĆ, Borko.
Nadgradnja algoritma FLORS za besednovrstno označevanje slovenskih besedil. In: FISTER,
Iztok (ed.), et al. Proceedings of the 2019 6th Student Computer Science Research Conference - StuCoSReC. Koper: University of Primorska Press, 2019. Str. 91-99. ISBN 978-961-7055-82-5,
ISBN 978-961-7055-83-2. http://www.hippocampus.si/ISBN/978-961-7055-82-5.pdf. [COBISS.SI-ID 22746646]
2021
3.
FISTER, Iztok, LUKAČ, Luka, RAJŠP, Alen, FISTER, Iztok, PEČNIK, Luka, FISTER, Dušan.
A minimalistic toolbox for extracting features from sport activity files. In: IEEE International Conference on Intelligent Engineering Systems (INES). IEEE 25th International Conference on Intelligent Engineering Systems (INES), Budapest,
Hungary, July 7-9, 2021. Budapest: IEEE Xplore, 2021. Str. 121-126, ilustr. ISBN 978-1-6654-4499-6.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9512927. [COBISS.SI-ID 73396995]
4.
PEČNIK, Luka, FISTER, Iztok. NiaAML: AutoML framework based on stochastic population-based
nature-inspired algorithms. Journal of open source software. Published: 23 May 2021, str. 1-3. ISSN 2475-9066. DOI: 10.21105/joss.02949. [COBISS.SI-ID 65272323]
5.
PEČNIK, Luka, FISTER, Iztok, FISTER, Iztok. NiaAML2: an improved AutoML using nature-inspired
algorithms. In: TAN, Ying (ed.), SHI, Yuhui (ed.). Advances in swarm intelligence : 12th international conference, ICSI 2021, Qingdao,
China, July 17-21, 2021 : proceedings : part IIfister. Cham: Springer, cop. 2021. Vol. 12690, str. 243-252. Lecture notes in computer science,
12690. ISBN 978-3-030-78810-0, ISBN 978-3-030-78811-7. ISSN 0302-9743. DOI: 10.1007/978-3-030-78811-7_23. [COBISS.SI-ID 86109699]
6.
PEČNIK, Luka, FISTER, Iztok, FISTER, Iztok. NNiaClass: building rule-based classification
models using nature-inspired algorithms. In: TAN, Ying (ed.), SHI, Yuhui (ed.). Advances in swarm intelligence : 12th international conference, ICSI 2021, Qingdao,
China, July 17-21, 2021 : proceedings : part IIfister. Cham: Springer, cop. 2021. Vol. 12690, str. 381-390. Lecture notes in computer science,
12690. ISBN 978-3-030-78810-0, ISBN 978-3-030-78811-7. ISSN 0302-9743. DOI: 10.1007/978-3-030-78811-7_36. [COBISS.SI-ID 86110211]
7.
PEČNIK, Luka. Ogrodje NiaAML za samodejno strojno učenje : magistrsko delo. Maribor: [L. Pečnik], 2021. XIII, 62 f., ilustr. https://dk.um.si/IzpisGradiva.php?lang=slv&id=78592, Digital Library of the University of Maribor – DLUM. [COBISS.SI-ID 54864387]
2025
8.
FISTER, Iztok, FARTHOFER, Laurenz A., PEČNIK, Luka, FISTER, Iztok, HOLZINGER, Andreas.
NiaAML : AutoML for classification and regression pipelines. SoftwareX. Feb. 2025, vol. 29, [article no.] 101974, 5 str., ilustr. ISSN 2352-7110. Digital Library of the University of Maribor – DLUM, DOI: 10.1016/j.softx.2024.101974. [COBISS.SI-ID 219923971]