E-LIB Suche - Ergebnisse für: Aleksandrova, Marharyta

1

Security and performance implications of BGP rerouting-resi..:

Mitseva, Asya ; Aleksandrova, Marharyta ; Panchenko, Andriy
Computers & Security. 132 (2023) - p. 103374 , 2023

Link: https://doi.org/10.1016/..

2

k-Pareto Optimality-Based Sorting with Maximization of Choi..:

Ruppert, Jean ; Aleksandrova, Marharyta ; Engel, Thomas
Algorithms. 15 (2022) 11 - p. 420 , 2022

Link: https://doi.org/10.3390/..

3

The Effect of Noise Level on the Accuracy of Causal Discove..:

, In: Communications in Computer and Information Science; Artificial Intelligence and Machine Learning,

Kap, Benjamin ; Aleksandrova, Marharyta ; Engel, Thomas - p. 120-140 , 2022

Link: https://doi.org/10.1007/..

4

k-Pareto Optimality-Based Sorting with Maximization of Choi..:

Jean Ruppert ; Marharyta Aleksandrova ; Thomas Engel
Combinatorial Optimization, Graph, and Network Algorithms. , 2022

Link: https://doi.org/10.3390/..

5

k-Pareto Optimality-Based Sorting with Maximization of Choi..:

Ruppert, Jean ; Aleksandrova, Marharyta ; Engel, Thomas
http://arxiv.org/abs/2201.08206. , 2022

Link: http://arxiv.org/abs/220..

6

The Effect of Noise Level on the Accuracy of Causal Discove..:

Kap, Benjamin ; Aleksandrova, Marharyta ; Engel, Thomas
http://orbilu.uni.lu/handle/10993/50417. , 2022

Link: http://orbilu.uni.lu/han..

7

k -Pareto Optimality-Based Sorting with Maximization of Cho..:

Jean Ruppert ; Marharyta Aleksandrova ; Thomas Engel
https://www.mdpi.com/1999-4893/15/11/420. , 2022

Link: https://doi.org/10.3390/..

8

BacAnalytics: A Tool to Support Secondary School Examinatio..:

, In: Intelligent Systems in Industrial Applications; Studies in Computational Intelligence,

Roussanaly, Azim ; Aleksandrova, Marharyta ; Boyer, Anne - p. 47-58 , 2021

Link: https://doi.org/10.1007/..

9

k-Pareto optimality for many-objective genetic optimization:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,

Ruppert, Jean ; Aleksandrova, Marharyta ; Engel, Thomas - p. 63-64 , 2021

Link: https://dl.acm.org/doi/1..

10

How Nonconformity Functions and Difficulty of Datasets Impa..:

Aleksandrova, Marharyta ; Chertov, Oleg
Workshop on Distribution-Free Uncertainty Quantification at ICML 2021 (24-07-2021). , 2021

Link: http://orbilu.uni.lu/han..

11

Causal Identification with Additive Noise Models: Quantifyi..:

Kap, Benjamin ; Aleksandrova, Marharyta ; Engel, Thomas
http://arxiv.org/abs/2110.08087. , 2021

Link: http://arxiv.org/abs/211..

12

How Nonconformity Functions and Difficulty of Datasets Impa..:

Aleksandrova, Marharyta ; Chertov, Oleg
http://arxiv.org/abs/2108.05677. , 2021

Link: http://arxiv.org/abs/210..

13

SCR-Apriori for Mining 'Sets of Contrasting Rules':

Aleksandrova, Marharyta ; Chertov, Oleg
https://arxiv.org/abs/1912.09817. , 2021

Link: http://orbilu.uni.lu/han..

14

Causal Identification with Additive Noise Models: Quantifyi..:

Kap, Benjamin ; Aleksandrova, Marharyta ; Engel, Thomas
10èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB-2021) (from 11-10-2021 to 12-10-2021). , 2021

Link: http://orbilu.uni.lu/han..

15

-Pareto Optimality for Many-Objective Genetic Optimization:

Ruppert, Jean ; Aleksandrova, Marharyta ; Engel, Thomas
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion (from 10-07-2021 to 14-07-2021). , 2021

Link: http://orbilu.uni.lu/han..