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ORCIDTomaz Stepisnik Perdih
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2020 – today
- 2022
[j8]Bijit Roy
, Tomaz Stepisnik, The Pooled Resource Open-Access A. L. S. Clinical Trials Consortium, Celine Vens, Saso Dzeroski:
Survival analysis with semi-supervised predictive clustering trees. Comput. Biol. Medicine 141: 105001 (2022)- [j7]Milka Ljoncheva, Tomaz Stepisnik, Tina Kosjek, Saso Dzeroski:
Machine learning for identification of silylated derivatives from mass spectra. J. Cheminformatics 14(1): 62 (2022) - 2021
- [j6]Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev:
A comprehensive comparison of molecular feature representations for use in predictive modeling. Comput. Biol. Medicine 130: 104197 (2021) - [j5]Tomaz Stepisnik, Dragi Kocev:
Oblique predictive clustering trees. Knowl. Based Syst. 227: 107228 (2021) - [j4]Tomaz Stepisnik, Dragi Kocev:
Semi-supervised oblique predictive clustering trees. PeerJ Comput. Sci. 7: e506 (2021) - [i4]Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev:
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR abs/2108.01407 (2021) - [i3]Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev:
Discovering outliers in the Mars Express thermal power consumption patterns. CoRR abs/2108.02067 (2021) - 2020
- [j3]Tomaz Stepisnik, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev:
Option predictive clustering trees for multi-target regression. Comput. Sci. Inf. Syst. 17(2): 459-486 (2020) - [j2]Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev:
Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. 158: 113569 (2020) - [j1]Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik:
Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. Mach. Learn. 109(11): 2213-2241 (2020) - [c4]Tomaz Stepisnik, Dragi Kocev:
Hyperbolic Embeddings for Hierarchical Multi-label Classification. ISMIS 2020: 66-76 - [c3]Tomaz Stepisnik, Dragi Kocev:
Multivariate Predictive Clustering Trees for Classification. ISMIS 2020: 331-341 - [i2]Tomaz Stepisnik, Dragi Kocev:
Oblique Predictive Clustering Trees. CoRR abs/2007.13617 (2020) - [i1]Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras, Mario Morvan, Billy Edwards, Kai Hou Yip, Giovanna Tinetti, Subhajit Sarkar, James M. Dawson, Vadim Borisov, Gjergji Kasneci, Matej Petkovic, Tomaz Stepisnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik:
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. CoRR abs/2010.15996 (2020)
2010 – 2019
- 2017
- [c2]Tomaz Stepisnik Perdih, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev:
Option Predictive Clustering Trees for Hierarchical Multi-label Classification. DS 2017: 116-123 - [c1]Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski:
Phenotype Prediction with Semi-supervised Classification Trees. NFMCP@PKDD/ECML 2017: 138-150
Coauthor Index
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