Tomaz Stepisnik Perdih

According to our database, Tomaz Stepisnik Perdih authored at least 15 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Machine learning for identification of silylated derivatives from mass spectra.

Milka Ljoncheva, Tomaz Stepisnik, Tina Kosjek, Saso Dzeroski

J. Cheminformatics, 2022

Survival analysis with semi-supervised predictive clustering trees.

Bijit Roy, Tomaz Stepisnik, The Pooled Resource Open-Access A. L. S. Clinical Trials Consortium, Celine Vens, Saso Dzeroski

Comput. Biol. Medicine, 2022

2021

Semi-supervised oblique predictive clustering trees.

Tomaz Stepisnik, Dragi Kocev

PeerJ Comput. Sci., 2021

Oblique predictive clustering trees.

Tomaz Stepisnik, Dragi Kocev

Knowl. Based Syst., 2021

Discovering outliers in the Mars Express thermal power consumption patterns.

Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev

CoRR, 2021

GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data.

Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev

CoRR, 2021

A comprehensive comparison of molecular feature representations for use in predictive modeling.

Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev

Comput. Biol. Medicine, 2021

2020

Ensembles of extremely randomized predictive clustering trees for predicting structured outputs.

Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik

Mach. Learn., 2020

Semi-supervised regression trees with application to QSAR modelling.

Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev

Expert Syst. Appl., 2020

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots.

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

CoRR, 2020

Option predictive clustering trees for multi-target regression.

Tomaz Stepisnik, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev

Comput. Sci. Inf. Syst., 2020

Multivariate Predictive Clustering Trees for Classification.

Tomaz Stepisnik, Dragi Kocev

Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Hyperbolic Embeddings for Hierarchical Multi-label Classification.

Tomaz Stepisnik, Dragi Kocev

Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

2017

Phenotype Prediction with Semi-supervised Classification Trees.

Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Option Predictive Clustering Trees for Hierarchical Multi-label Classification.

Tomaz Stepisnik Perdih, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev

Proceedings of the Discovery Science - 20th International Conference, 2017