output
20112026
most citedA review of possible effects of cognitive biases on the interpretation of rule-based machine learning models

138 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2024Show all

7 papers · 1 filter

cs.AI2024★ 15 cited

Traceable LLM-based validation of statements in knowledge graphs

Daniel Adam, Tomáš Kliegr

This article presents a method for verifying RDF triples using LLMs, with an emphasis on providing traceable arguments. Because the LLMs cannot currently reliably identify the orig…

cs.LG2024★ 15 cited

LLM-based feature generation from text for interpretable machine learning

Vojtěch Balek, Lukáš Sýkora, Vilém Sklenák +1

Existing text representations such as embeddings and bag-of-words are not suitable for rule learning due to their high dimensionality and absent or questionable feature-level inter…

stat.AP2024

Analyzing and Forecasting Success in the Men's Ice Hockey World (Junior) Championships Using a Dynamic Ranking Model

Vladimír Holý

What factors contribute to the success of national teams in the Men's Ice Hockey World Championships and the Men's Ice Hockey World Junior Championships? This study examines whethe…

cs.AI2024

Neurosymbolic Methods for Rule Mining

Agnieszka Lawrynowicz, Luis Galarraga, Mehwish Alam +3

In this chapter, we address the problem of rule mining, beginning with essential background information, including measures of rule quality. We then explore various rule mining met…

stat.AP2024★ 17 cited

Are Economically Advanced Countries More Efficient in Basic and Applied Research?

Vladimír Holý, Karel Šafr

Research and development (R&D) of countries play a major role in a long-term development of the economy. We measure the R&D efficiency of all 28 member countries of the European Un…

stat.AP2024★ 60 cited

Clustering Retail Products Based on Customer Behaviour

Vladimír Holý, Ondřej Sokol, Michal Černý

The categorization of retail products is essential for the business decision-making process. It is a common practice to classify products based on their quantitative and qualitativ…

stat.CO2024

gasmodel: An R Package for Generalized Autoregressive Score Models

Vladimír Holý

Generalized autoregressive score (GAS) models are a class of observation-driven time series models that employ the score to dynamically update time-varying parameters of the underl…