6 citations · 12 across the 4 of their papers we have counts for
12 papers
Better sampling in explanation methods can prevent dieselgate-like deception
Domen Vreš, Marko Robnik Šikonja
Machine learning models are used in many sensitive areas where besides predictive accuracy their comprehensibility is also important. Interpretability of prediction models is neces…
Bayesian Methods for Semi-supervised Text Annotation
Kristian Miok, Gregor Pirs, Marko Robnik-Sikonja
Human annotations are an important source of information in the development of natural language understanding approaches. As under the pressure of productivity annotators can assig…
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
Kristian Miok, Blaz Skrlj, Daniela Zaharie +1
Hate speech is an important problem in the management of user-generated content. To remove offensive content or ban misbehaving users, content moderators need reliable hate speech…
Propositionalization and Embeddings: Two Sides of the Same Coin
Nada Lavrač, Blaž Škrlj, Marko Robnik-Šikonja
Data preprocessing is an important component of machine learning pipelines, which requires ample time and resources. An integral part of preprocessing is data transformation into t…
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders
Kristian Miok, Dong Nguyen-Doan, Marko Robnik-Šikonja +1
Due to complex experimental settings, missing values are common in biomedical data. To handle this issue, many methods have been proposed, from ignoring incomplete instances to var…
AttViz: Online exploration of self-attention for transparent neural language modeling
Blaž Škrlj, Nika Eržen, Shane Sheehan +3
Neural language models are becoming the prevailing methodology for the tasks of query answering, text classification, disambiguation, completion and translation. Commonly comprised…