Marharyta Aleksandrova
Orcid: 0000-0002-1863-0129
According to our database1,
Marharyta Aleksandrova
authored at least 21 papers
between 2011 and 2023.
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Bibliography
2023
Security and performance implications of BGP rerouting-resistant guard selection algorithms for Tor.
Comput. Secur., September, 2023
2022
k-Pareto Optimality-Based Sorting with Maximization of Choice and Its Application to Genetic Optimization.
Algorithms, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
CoRR, 2021
How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers.
CoRR, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021
The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models.
Proceedings of the Artificial Intelligence and Machine Learning, 2021
2020
Security and Performance Implications of BGP Rerouting-Resistant Guard Selection Algorithms for Tor.
Proceedings of the ICT Systems Security and Privacy Protection, 2020
Proceedings of the Intelligent Systems in Industrial Applications, 2020
2019
2017
Matrix Factorization and Contrast Analysis Techniques for Recommendation. (Factorisation de matrices et analyse de contraste pour la recommandation).
PhD thesis, 2017
Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem.
J. Intell. Inf. Syst., 2017
Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017
2016
Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application.
Comput. Methods Programs Biomed., 2016
Sets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
2014
Can Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems?
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014
What about Interpreting Features in Matrix Factorization-based Recommender Systems as Users?
Proceedings of the Hypertext 2014 Extended Proceedings: Late-breaking Results, 2014
2013
Proceedings of the Soft Computing: State of the Art Theory and Novel Applications, 2013
2011