93 citations · 391 across the 45 of their papers we have counts for
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Unsupervised Feature Ranking via Attribute Networks
Urh Primožič, Blaž Škrlj, Sašo Džeroski +1
The need for learning from unlabeled data is increasing in contemporary machine learning. Methods for unsupervised feature ranking, which identify the most important features in su…
Link Analysis meets Ontologies: Are Embeddings the Answer?
Sebastian Mežnar, Matej Bevec, Nada Lavrač +1
The increasing amounts of semantic resources offer valuable storage of human knowledge; however, the probability of wrong entries increases with the increased size. The development…
Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning
Blaž Škrlj, Marko Jukič, Nika Eržen +2
The COVID-19 pandemic triggered a wave of novel scientific literature that is impossible to inspect and study in a reasonable time frame manually. Current machine learning methods…
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
Boshko Koloski, Timen Stepišnik-Perdih, Marko Robnik-Šikonja +2
Increasing amounts of freely available data both in textual and relational form offers exploration of richer document representations, potentially improving the model performance a…
Semantic Reasoning from Model-Agnostic Explanations
Timen Stepišnik Perdih, Nada Lavrač, Blaž Škrlj
With the wide adoption of black-box models, instance-based \emph{post hoc} explanation tools, such as LIME and SHAP became increasingly popular. These tools produce explanations, p…
JSI at the FinSim-2 task: Ontology-Augmented Financial Concept Classification
Timen Stepišnik Perdih, Senja Pollak, Blaž \v{Skrlj}
Ontologies are increasingly used for machine reasoning over the last few years. They can provide explanations of concepts or be used for concept classification if there exists a ma…
Extending Neural Keyword Extraction with TF-IDF tagset matching
Boshko Koloski, Senja Pollak, Blaž Škrlj +1
Keyword extraction is the task of identifying words (or multi-word expressions) that best describe a given document and serve in news portals to link articles of similar topics. In…
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings
Blaž Škrlj, Sašo Džeroski, Nada Lavrač +1
Feature ranking has been widely adopted in machine learning applications such as high-throughput biology and social sciences. The approaches of the popular Relief family of algorit…
Identification of COVID-19 related Fake News via Neural Stacking
Boshko Koloski, Timen Stepišnik Perdih, Senja Pollak +1
Identification of Fake News plays a prominent role in the ongoing pandemic, impacting multiple aspects of day-to-day life. In this work we present a solution to the shared task tit…