Marharyta Aleksandrova

20 papers A 2B 1Misc 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2023 J jnl
Security and performance implications of BGP rerouting-resistant guard selection algorithms for Tor.
Comput. Secur.
Asya Mitseva, Marharyta Aleksandrova, Andriy Panchenko
2022 J jnl
k-Pareto Optimality-Based Sorting with Maximization of Choice and Its Application to Genetic Optimization.
Algorithms
Jean Ruppert, Marharyta Aleksandrova, Thomas Engel
2022 A conf
k-Pareto Optimality-Based Sorting with Maximization of Choice.
AISTATS
Jean Ruppert, Marharyta Aleksandrova, Thomas Engel
2021 J jnl
Causal Identification with Additive Noise Models: Quantifying the Effect of Noise.
CoRR
Benjamin Kap, Marharyta Aleksandrova, Thomas Engel
2021 J jnl
How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers.
CoRR
Marharyta Aleksandrova, Oleg Chertov
2021 — conf
Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study.
COPA
Marharyta Aleksandrova, Oleg Chertov
2021 — conf
The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models.
BNAIC/BENELEARN
Benjamin Kap, Marharyta Aleksandrova, Thomas Engel
2020 — conf
BacAnalytics: A Tool to Support Secondary School Examination in France.
ISMIS (Industrial Paper)
Azim Roussanaly, Marharyta Aleksandrova, Anne Boyer
2020 Misc conf
Security and Performance Implications of BGP Rerouting-Resistant Guard Selection Algorithms for Tor.
SEC
Asya Mitseva, Marharyta Aleksandrova, Thomas Engel, Andriy Panchenko
2019 J jnl
SCR-Apriori for Mining 'Sets of Contrasting Rules'.
CoRR
Marharyta Aleksandrova, Oleg Chertov
2017 — conf
Contrast classification rules for mining local differences in medical data.
IDAACS
Marharyta Aleksandrova, Oleg Chertov, Armelle Brun, Anne Boyer
2017 J jnl
Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem.
J. Intell. Inf. Syst.
Marharyta Aleksandrova, Armelle Brun, Anne Boyer, Oleg Chertov
2017 — —
Matrix Factorization and Contrast Analysis Techniques for Recommendation. (Factorisation de matrices et analyse de contraste pour la recommandation).
Marharyta Aleksandrova
2016 J jnl
Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application.
Comput. Methods Programs Biomed.
Pavlo Tkachenko, Galyna Kriukova, Marharyta Aleksandrova, Oleg Chertov, Eric Renard, Sergei V. Pereverzyev
2016 A conf
Sets of Contrasting Rules to Identify Trigger Factors.
ECAI
Marharyta Aleksandrova, Armelle Brun, Oleg Chertov, Anne Boyer
2016 B conf
Sets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors.
ICTAI
Marharyta Aleksandrova, Armelle Brun, Oleg Chertov, Anne Boyer
2014 — conf
Can Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems?
WI-IAT (1)
Armelle Brun, Marharyta Aleksandrova, Anne Boyer
2014 — conf
What about Interpreting Features in Matrix Factorization-based Recommender Systems as Users?
HT (Doctoral Consortium / Late-breaking Results / Workshops)
Marharyta Aleksandrova, Armelle Brun, Anne Boyer, Oleg Chertov
2013 — ch.
Fuzzy Clustering with Prototype Extraction for Census Data Analysis.
Soft Computing: State of the Art Theory and Novel Applications
Oleg Chertov, Marharyta Aleksandrova
2011 J jnl
Clustering with Prototype Extraction for Census Data Analysis
CoRR
Oleg Chertov, Marharyta Aleksandrova