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LightAutoML: AutoML Solution for a Large Financial Services Ecosystem


Sep 03, 2021
Anton Vakhrushev, Alexander Ryzhkov, Maxim Savchenko, Dmitry Simakov, Rinchin Damdinov, Alexander Tuzhilin


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PURS: Personalized Unexpected Recommender System for Improving User Satisfaction


Jun 05, 2021
Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin

* Accepted to RecSys20 

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Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction


Jun 05, 2021
Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin

* Accepted to KDD21 

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Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations


Apr 20, 2021
Pan Li, Alexander Tuzhilin

* Accepted to IEEE TKDE. arXiv admin note: text overlap with arXiv:1910.05189 

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Noise-Resilient Automatic Interpretation of Holter ECG Recordings


Nov 17, 2020
Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin

* Accepted for publication on BIOSIGNALS 2021 

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Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks


Aug 15, 2020
Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan Oseledets, Alexander Tuzhilin

* Accepted at ACM RecSys 2020; 7 pages 

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Latent Unexpected Recommendations


Jul 27, 2020
Pan Li, Alexander Tuzhilin

* Accepted at ACM TIST 

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Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks


Jul 15, 2020
Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin

* To be published in the proceedings of 2020 International Conference on Artificial Intelligence in Medicine, Minneapolis MN, USA 

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Event sequence metric learning


Feb 19, 2020
Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Alexander Tuzhilin


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E.T.-RNN: Applying Deep Learning to Credit Loan Applications


Nov 06, 2019
Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov

* KDD 2019 

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