Marharyta Aleksandrova
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Université du Luxembourg 2, Avenue de l'Université L-4365 Esch-sur-Alzette |
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2022
The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models; ;
in Communications in Computer and Information Science (2022), 1530
2021
SCR-Apriori for Mining ‘Sets of Contrasting Rules’;
in Studies in Fuzziness and Soft Computing (2021), 393
Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study;
in Proceedings of Machine Learning Research (2021), 152
Causal Identification with Additive Noise Models: Quantifying the Effect of Noise; ;
Scientific Conference (2021)
2020
Security and Performance Implications of BGP Rerouting-resistant Guard Selection Algorithms for Tor; ; ;
in Security and Performance Implications of BGP Rerouting-resistant Guard Selection Algorithms for Tor (2020, May)
BacAnalytics: A Tool to Support Secondary School Examination in France; ;
in 25th International Symposium on Intelligent Systems (ISMIS 2020) (2020, May)
2017
Contrast classification rules for mining local differences in medical data; ; ;
in Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2017 9th IEEE International Conference on (2017)
2016
Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem; ; ;
in Journal of Intelligent Information Systems (2016)
Sets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors; ; ;
in Tools with Artificial Intelligence (ICTAI), 2016 IEEE 28th International Conference on (2016)
Automatic Identification of Trigger Factors: a Possibility for Chance Discovery; ; ;
in 2nd European Workshop on Chance Discovery and Data Synthesis (EWCDDS16) (2016)
Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application; ; ; ; ;
in Computer Methods & Programs in Biomedicine (2016), 134
2014
Search for user-related features in matrix factorization-based recommender systems; ; ;
in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2014), PhD Session Proceedings (2014)
Can Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems?; ;
in Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)-Volume 02 (2014)
2013
Using association rules for searching levers of influence in census data;
in Procedia Social and Behavioral Sciences (2013), 73
Fuzzy clustering with prototype extraction for census data analysis;
in Soft Computing: State of the Art Theory and Novel Applications (2013)
