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ORCIDMarharyta Aleksandrova
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2020 – today
- 2023
[j4]Asya Mitseva, Marharyta Aleksandrova
, Andriy Panchenko:
Security and performance implications of BGP rerouting-resistant guard selection algorithms for Tor. Comput. Secur. 132: 103374 (2023)- 2022
- [j3]Jean Ruppert, Marharyta Aleksandrova, Thomas Engel:
k-Pareto Optimality-Based Sorting with Maximization of Choice and Its Application to Genetic Optimization. Algorithms 15(11): 420 (2022) - [c11]Jean Ruppert, Marharyta Aleksandrova, Thomas Engel:
k-Pareto Optimality-Based Sorting with Maximization of Choice. AISTATS 2022: 1138-1160 - 2021
- [c10]Benjamin Kap, Marharyta Aleksandrova, Thomas Engel:
The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models. BNAIC/BENELEARN 2021: 120-140 - [c9]Marharyta Aleksandrova, Oleg Chertov:
Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study. COPA 2021: 151-170 - [c8]Jean Ruppert, Marharyta Aleksandrova, Thomas Engel:
k-Pareto optimality for many-objective genetic optimization. GECCO Companion 2021: 63-64 - [i4]Marharyta Aleksandrova, Oleg Chertov:
How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers. CoRR abs/2108.05677 (2021) - [i3]Benjamin Kap, Marharyta Aleksandrova, Thomas Engel:
Causal Identification with Additive Noise Models: Quantifying the Effect of Noise. CoRR abs/2110.08087 (2021) - 2020
- [c7]Azim Roussanaly, Marharyta Aleksandrova, Anne Boyer:
BacAnalytics: A Tool to Support Secondary School Examination in France. ISMIS (Industrial Paper) 2020: 47-58 - [c6]Asya Mitseva, Marharyta Aleksandrova, Thomas Engel, Andriy Panchenko:
Security and Performance Implications of BGP Rerouting-Resistant Guard Selection Algorithms for Tor. SEC 2020: 219-233
2010 – 2019
- 2019
- [i2]Marharyta Aleksandrova, Oleg Chertov:
SCR-Apriori for Mining 'Sets of Contrasting Rules'. CoRR abs/1912.09817 (2019) - 2017
- [b1]Marharyta Aleksandrova:
Matrix Factorization and Contrast Analysis Techniques for Recommendation. (Factorisation de matrices et analyse de contraste pour la recommandation). University of Lorraine, Nancy, France, 2017 - [j2]Marharyta Aleksandrova, Armelle Brun, Anne Boyer, Oleg Chertov:
Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem. J. Intell. Inf. Syst. 48(2): 365-397 (2017) - [c5]Marharyta Aleksandrova, Oleg Chertov, Armelle Brun, Anne Boyer:
Contrast classification rules for mining local differences in medical data. IDAACS 2017: 880-883 - 2016
- [j1]Pavlo Tkachenko, Galyna Kriukova, Marharyta Aleksandrova, Oleg Chertov, Eric Renard, Sergei V. Pereverzyev:
Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application. Comput. Methods Programs Biomed. 134: 179-186 (2016) - [c4]Marharyta Aleksandrova, Armelle Brun, Oleg Chertov, Anne Boyer:
Sets of Contrasting Rules to Identify Trigger Factors. ECAI 2016: 1728-1729 - [c3]Marharyta Aleksandrova, Armelle Brun, Oleg Chertov, Anne Boyer:
Sets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors. ICTAI 2016: 431-435 - 2014
- [c2]Marharyta Aleksandrova, Armelle Brun, Anne Boyer, Oleg Chertov:
What about Interpreting Features in Matrix Factorization-based Recommender Systems as Users? HT (Doctoral Consortium / Late-breaking Results / Workshops) 2014 - [c1]Armelle Brun, Marharyta Aleksandrova, Anne Boyer:
Can Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems? WI-IAT (1) 2014: 226-233 - 2013
- [p1]Oleg Chertov, Marharyta Aleksandrova:
Fuzzy Clustering with Prototype Extraction for Census Data Analysis. Soft Computing: State of the Art Theory and Novel Applications 2013: 289-313 - 2011
- [i1]Oleg Chertov, Marharyta Aleksandrova:
Clustering with Prototype Extraction for Census Data Analysis. CoRR abs/1106.5122 (2011)
Coauthor Index
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