Aljaz Osojnik

Orcid: 0000-0001-9216-6419

According to our database1, Aljaz Osojnik authored at least 14 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression.
Proceedings of the Discovery Science - 26th International Conference, 2023

2021
Improving Effectiveness of a Coaching System Through Preference Learning.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

2020
Incremental predictive clustering trees for online semi-supervised multi-target regression.
Mach. Learn., 2020

Option predictive clustering trees for multi-target regression.
Comput. Sci. Inf. Syst., 2020

2019
Multi-criteria Modelling Approach for Ambient Assisted Coaching of Senior Adults.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Utilizing Hierarchies in Tree-Based Online Structured Output Prediction.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
Tree-based methods for online multi-target regression.
J. Intell. Inf. Syst., 2018

Machine learning for predicting thermal power consumption of the Mars Express Spacecraft.
CoRR, 2018

2017
Multi-label classification via multi-target regression on data streams.
Mach. Learn., 2017

Option Predictive Clustering Trees for Hierarchical Multi-label Classification.
Proceedings of the Discovery Science - 20th International Conference, 2017

2016
Modeling dynamical systems with data stream mining.
Comput. Sci. Inf. Syst., 2016

Option Predictive Clustering Trees for Multi-target Regression.
Proceedings of the Discovery Science - 19th International Conference, 2016

2015
Comparison of Tree-Based Methods for Multi-target Regression on Data Streams.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015


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