Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem M Aleksandrova, A Brun, A Boyer, O Chertov Journal of Intelligent Information Systems 48 (2), 365-397, 2017 | 33 | 2017 |
Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application P Tkachenko, G Kriukova, M Aleksandrova, O Chertov, E Renard, ... Computer methods and programs in biomedicine 134, 179-186, 2016 | 27 | 2016 |
Search for user-related features in matrix factorization-based recommender systems M Aleksandrova, A Brun, A Boyer, O Chertov European Conference on Machine Learning and Principles and Practice of …, 2014 | 10 | 2014 |
Can latent features be interpreted as users in matrix factorization-based recommender systems? A Brun, M Aleksandrova, A Boyer 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014 | 10 | 2014 |
What about interpreting features in matrix factorization-based recommender systems as users? M Aleksandrova, A Brun, A Boyer, O Chertov HT (Doctoral Consortium/Late-breaking Results/Workshops), 2014 | 9 | 2014 |
Security and performance implications of BGP rerouting-resistant guard selection algorithms for Tor A Mitseva, M Aleksandrova, A Panchenko Computers & Security 132, 103374, 2023 | 8 | 2023 |
Fuzzy clustering with prototype extraction for census data analysis O Chertov, M Aleksandrova Soft Computing: State of the Art Theory and Novel Applications, 289-313, 2013 | 8 | 2013 |
Using association rules for searching levers of influence in census data O Chertov, M Aleksandrova Procedia-Social and Behavioral Sciences 73, 475-478, 2013 | 7 | 2013 |
Comparative analysis of neighborhood-based approache and matrix factorization in recommender systems O Chertov, A Brun, A Boyer, M Aleksandrova Восточно-Европейский журнал передовых технологий 3 (4 (75)), 4-9, 2015 | 6 | 2015 |
Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study M Aleksandrova, O Chertov Conformal and Probabilistic Prediction and Applications, 151-170, 2021 | 5 | 2021 |
Sets of contrasting rules: A supervised descriptive rule induction pattern for identification of trigger factors M Aleksandrova, A Brun, O Chertov, A Boyer 2016 IEEE 28th International Conference on Tools with Artificial …, 2016 | 4 | 2016 |
How nonconformity functions and difficulty of datasets impact the efficiency of conformal classifiers M Aleksandrova, O Chertov arXiv preprint arXiv:2108.05677, 2021 | 3 | 2021 |
Sets of contrasting rules to identify trigger factors M Aleksandrova, A Brun, O Chertov, A Boyer ECAI 2016, 1728-1729, 2016 | 3 | 2016 |
Clustering with prototype extraction for census data analysis O Chertov, M Aleksandrova arXiv preprint arXiv:1106.5122, 2011 | 3 | 2011 |
Data Science Projects Management, DataOps, MLOPs Y Demchenko, JJ Cuadrado-Gallego, O Chertov, M Aleksandrova Big Data Infrastructure Technologies for Data Analytics: Scaling Data …, 2024 | 2 | 2024 |
Causal Identification with Additive Noise Models: Quantifying the Effect of Noise B Kap, M Aleksandrova, T Engel arXiv preprint arXiv:2110.08087, 2021 | 2 | 2021 |
Contrast classification rules for mining local differences in medical data M Aleksandrova, O Chertov, A Brun, A Boyer 2017 9th IEEE International Conference on Intelligent Data Acquisition and …, 2017 | 2 | 2017 |
Big Data Security and Compliance, Data Privacy Protection Y Demchenko, JJ Cuadrado-Gallego, O Chertov, M Aleksandrova Big Data Infrastructure Technologies for Data Analytics: Scaling Data …, 2024 | 1 | 2024 |
Research Data Management Y Demchenko, JJ Cuadrado-Gallego, O Chertov, M Aleksandrova Big Data Infrastructure Technologies for Data Analytics: Scaling Data …, 2024 | 1 | 2024 |
Big Data Algorithms, MapReduce and Hadoop ecosystem Y Demchenko, JJ Cuadrado-Gallego, O Chertov, M Aleksandrova Big Data Infrastructure Technologies for Data Analytics: Scaling Data …, 2024 | 1 | 2024 |