Matej Petkovic

Orcid: 0000-0002-0495-9046

Affiliations:
  • Jozef Stefan Institute, Ljubljana, Slovenia


According to our database1, Matej Petkovic authored at least 25 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
CLUSplus: A decision tree-based framework for predicting structured outputs.
SoftwareX, December, 2023

Feature ranking for semi-supervised learning.
Mach. Learn., November, 2023

MLFMF: Data Sets for Machine Learning for Mathematical Formalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
ReliefE: feature ranking in high-dimensional spaces via manifold embeddings.
Mach. Learn., 2022

Relational tree ensembles and feature rankings.
Knowl. Based Syst., 2022

P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar.
CoRR, 2022

2021
Ensemble- and distance-based feature ranking for unsupervised learning.
Int. J. Intell. Syst., 2021

Discovering outliers in the Mars Express thermal power consumption patterns.
CoRR, 2021

GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data.
CoRR, 2021

Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors.
Comput. Biol. Medicine, 2021

Fuzzy Jaccard Index: A robust comparison of ordered lists.
Appl. Soft Comput., 2021

Compressibility of Distributed Document Representations.
Proceedings of the IEEE International Conference on Data Mining, 2021

Unsupervised Feature Ranking via Attribute Networks.
Proceedings of the Discovery Science - 24th International Conference, 2021

2020
Error curves for evaluating the quality of feature rankings.
PeerJ Comput. Sci., 2020

Feature ranking for multi-target regression.
Mach. Learn., 2020

Multi-label feature ranking with ensemble methods.
Mach. Learn., 2020

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots.
CoRR, 2020

Estimating the Importance of Relational Features by Using Gradient Boosting.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Feature Importance Estimation with Self-Attention Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Ensemble-Based Feature Ranking for Semi-supervised Classification.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
Quantitative Score for Assessing the Quality of Feature Rankings.
Informatica (Slovenia), 2018

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

Feature Ranking with Relief for Multi-label Classification: Does Distance Matter?
Proceedings of the Discovery Science - 21st International Conference, 2018

2017
Feature Ranking for Multi-target Regression with Tree Ensemble Methods.
Proceedings of the Discovery Science - 20th International Conference, 2017

2016
A Comparison of Different Data Transformation Approaches in the Feature Ranking Context.
Proceedings of the Discovery Science - 19th International Conference, 2016


  Loading...