20 citations · 67 across the 9 of their papers we have counts for
5 papers · 1 filter
Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning
Matej Petković, Dragi Kocev, Blaž Škrlj +1
In this work, we propose two novel (groups of) methods for unsupervised feature ranking and selection. The first group includes feature ranking scores (Genie3 score, RandomForest s…
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots
Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras +20
The last decade has witnessed a rapid growth of the field of exoplanet discovery and characterisation. However, several big challenges remain, many of which could be addressed usin…
Feature Ranking for Semi-supervised Learning
Matej Petković, Sašo Džeroski, Dragi Kocev
The data made available for analysis are becoming more and more complex along several directions: high dimensionality, number of examples and the amount of labels per example. This…
Fuzzy Jaccard Index: A robust comparison of ordered lists
Matej Petković, Blaž Škrlj, Dragi Kocev +1
We propose Fuzzy Jaccard Index (FUJI) -- a scale-invariant score for assessment of the similarity between two ranked/ordered lists. FUJI improves upon the Jaccard index by incorpor…
Feature Importance Estimation with Self-Attention Networks
Blaž Škrlj, Sašo Džeroski, Nada Lavrač +1
Black-box neural network models are widely used in industry and science, yet are hard to understand and interpret. Recently, the attention mechanism was introduced, offering insigh…