138 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Charles UniversityCZ11 papers
- Czech Academy of Sciences, Institute of Information Theory and AutomationCZ5 papers
- Czech Technical University in PragueCZ5 papers
- University of MannheimDE3 papers
- Johannes Kepler University of LinzAT2 papers
- Queen Mary University of LondonGB2 papers
- University of California, BerkeleyUS2 papers
- University of OxfordGB2 papers
- University of TurinIT2 papers
- Utrecht UniversityNL2 papers
- American UniversityUS1 paper
- Cambridge Econometrics (United Kingdom)GB1 paper
4 papers · 1 filter
Zero-Inflated Autoregressive Conditional Duration Model for Discrete Trade Durations with Excessive Zeros
Francisco Blasques, Vladimír Holý, Petra Tomanová
In finance, durations between successive transactions are usually modeled by the autoregressive conditional duration model based on a continuous distribution omitting zero values.…
A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models
Tomáš Kliegr, Štěpán Bahník, Johannes Fürnkranz
While the interpretability of machine learning models is often equated with their mere syntactic comprehensibility, we think that interpretability goes beyond that, and that human…
On Cognitive Preferences and the Plausibility of Rule-based Models
Johannes Fürnkranz, Tomáš Kliegr, Heiko Paulheim
It is conventional wisdom in machine learning and data mining that logical models such as rule sets are more interpretable than other models, and that among such rule-based models,…
Interval Linear Programming under Transformations: Optimal Solutions and Optimal Value Range
Elif Garajová, Milan Hladík, Miroslav Rada
Interval linear programming provides a tool for solving real-world optimization problems under interval-valued uncertainty. Instead of approximating or estimating crisp input data,…