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20112022
most citedClustering with Prototype Extraction for Census Data Analysis

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2022

k-Pareto Optimality-Based Sorting with Maximization of Choice

Jean Ruppert, Marharyta Aleksandrova, Thomas Engel

Topological sorting is an important technique in numerous practical applications, such as information retrieval, recommender systems, optimization, etc. In this paper, we introduce…

stat.ML2021

Causal Identification with Additive Noise Models: Quantifying the Effect of Noise

Benjamin Kap, Marharyta Aleksandrova, Thomas Engel

In recent years, a lot of research has been conducted within the area of causal inference and causal learning. Many methods have been developed to identify the cause-effect pairs i…

cs.LG2021

How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers

Marharyta Aleksandrova, Oleg Chertov

The property of conformal predictors to guarantee the required accuracy rate makes this framework attractive in various practical applications. However, this property is achieved a…

cs.LG2019

SCR-Apriori for Mining `Sets of Contrasting Rules'

Marharyta Aleksandrova, Oleg Chertov

In this paper, we propose an efficient algorithm for mining novel `Set of Contrasting Rules'-pattern (SCR-pattern), which consists of several association rules. This pattern is of…

cs.DB2011★ 2 cited

Clustering with Prototype Extraction for Census Data Analysis

Oleg Chertov, Marharyta Aleksandrova

Not long ago primary census data became available to publicity. It opened qualitatively new perspectives not only for researchers in demography and sociology, but also for those pe…