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 2017Show all

5 papers · 1 filter

math.OC2017★ 10 cited

Testing weak optimality of a given solution in interval linear programming revisited: NP-hardness proof, algorithm and some polynomial cases

Miroslav Rada, Milan Hladík, Elif Garajová

We address the problem of testing weak optimality of a given solution of a given interval linear program. The problem was recently wrongly stated to be polynomially solvable. We di…

stat.ML2017★ 8 cited

QCBA: Improving Rule Classifiers Learned from Quantitative Data by Recovering Information Lost by Discretisation

Tomas Kliegr, Ebroul Izquierdo

A prediscretisation of numerical attributes which is required by some rule learning algorithms is a source of inefficiencies. This paper describes new rule tuning steps that aim to…

q-fin.ST2017★ 20 cited

Transitions between superstatistical regimes: validity, breakdown and applications

Petr Jizba, Jan Korbel, Hynek Lavička +3

Superstatistics is a widely employed tool of non-equilibrium statistical physics which plays an important role in analysis of hierarchical complex dynamical systems. Yet, its "cano…

stat.AP2017

Disaggregating Input--Output Tables by the Multidimensional RAS Method: A Case Study of the Czech Republic

Vladimír Holý, Karel Šafr

The RAS method is an iterative procedure that bi-proportionally scales an input-output table to be consistent with given row and column sums. It can be used to disaggregate an annu…

math.OC2017★ 15 cited

A novel data envelopment analysis ranking based on a robust approach

Milan Hladík

We propose a novel DEA ranking based on a robust optimization viewpoint: the higher ranking for those DMU's that remain efficient even for larger variations of data and vice versa.…