Tomaz Stepisnik

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 14

Top Topics

Predictive Clustering Trees

Feature Representations

Machine Learning

Top Venues

Comput. Biol. Medicine

Publications

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 (2022)
Milka Ljoncheva, Tomaz Stepisnik, Tina Kosjek, Saso Dzeroski
Machine learning for identification of silylated derivatives from mass spectra. J. Cheminformatics 14 (1) (2022)
Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martinez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR (2021)
Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev
Discovering outliers in the Mars Express thermal power consumption patterns. CoRR (2021)
Tomaz Stepisnik, Dragi Kocev
Oblique predictive clustering trees. Knowl. Based Syst. 227 (2021)
Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev
A comprehensive comparison of molecular feature representations for use in predictive modeling. Comput. Biol. Medicine 130 (2021)
Tomaz Stepisnik, Dragi Kocev
Semi-supervised oblique predictive clustering trees. PeerJ Comput. Sci. 7 (2021)
Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik
Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. Mach. Learn. 109 (11) (2020)
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 (2020)
Tomaz Stepisnik, Dragi Kocev
Multivariate Predictive Clustering Trees for Classification. ISMIS (2020)
Tomaz Stepisnik, Dragi Kocev
Hyperbolic Embeddings for Hierarchical Multi-label Classification. ISMIS (2020)
Tomaz Stepisnik, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
Option predictive clustering trees for multi-target regression. Comput. Sci. Inf. Syst. 17 (2) (2020)
Tomaz Stepisnik, Dragi Kocev
Oblique Predictive Clustering Trees. CoRR (2020)
Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev
Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. 158 (2020)