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Aljaz Osojnik
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2020 – today
- 2023
- [c9]Aljaz Osojnik
, Pance Panov, Saso Dzeroski:
iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression. DS 2023: 48-63 - 2021
- [c8]Martin Znidarsic, Aljaz Osojnik, Peter Rupnik, Bernard Zenko:
Improving Effectiveness of a Coaching System Through Preference Learning. PETRA 2021: 459-465 - 2020
- [j5]Tomaz Stepisnik, Aljaz Osojnik
Option predictive clustering trees for multi-target regression. Comput. Sci. Inf. Syst. 17(2): 459-486 (2020) - [j4]Aljaz Osojnik
Incremental predictive clustering trees for online semi-supervised multi-target regression. Mach. Learn. 109(11): 2121-2139 (2020)
2010 – 2019
- 2019
- [c7]Aljaz Osojnik
Utilizing Hierarchies in Tree-Based Online Structured Output Prediction. DS 2019: 87-95 - [c6]Bozhidar Stevanoski, Dragi Kocev
Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. DS 2019: 186-201 - [c5]Martin Znidarsic, Bernard Zenko, Aljaz Osojnik
Multi-criteria Modelling Approach for Ambient Assisted Coaching of Senior Adults. KEOD 2019: 87-93 - 2018
- [j3]Aljaz Osojnik
Tree-based methods for online multi-target regression. J. Intell. Inf. Syst. 50(2): 315-339 (2018) - [i1]Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski:
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. CoRR abs/1809.00542 (2018) - 2017
- [j2]Aljaz Osojnik
Multi-label classification via multi-target regression on data streams. Mach. Learn. 106(6): 745-770 (2017) - [c4]Tomaz Stepisnik Perdih, Aljaz Osojnik
Option Predictive Clustering Trees for Hierarchical Multi-label Classification. DS 2017: 116-123 - 2016
- [j1]Aljaz Osojnik
Modeling dynamical systems with data stream mining. Comput. Sci. Inf. Syst. 13(2): 453-473 (2016) - [c3]Aljaz Osojnik
Option Predictive Clustering Trees for Multi-target Regression. DS 2016: 118-133 - 2015
- [c2]Aljaz Osojnik
Multi-label Classification via Multi-target Regression on Data Streams. Discovery Science 2015: 170-185 - [c1]Aljaz Osojnik
Comparison of Tree-Based Methods for Multi-target Regression on Data Streams. NFMCP 2015: 17-31
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