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ORCIDOlga Mineeva
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2020 – today
- 2023
[j3]Olga Mineeva, Daniel Danciu, Bernhard Schölkopf, Ruth E. Ley, Gunnar Rätsch, Nicholas D. Youngblut
:
ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning. PLoS Comput. Biol. 19(5) (2023)- 2022
- [c2]Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera:
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. FAccT 2022: 1421-1433 - [c1]Tatiana Y. Sherstinova, Irina Petrova, Olga Mineeva, Maria Fedosova:
Empirical Studies of Everyday Professional, Domestic and Client-Service Communication for the Development of Voice Assistants in Russian. FRUCT 2022: 262-269 - [i2]Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera:
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. CoRR abs/2205.04790 (2022) - 2020
- [j2]Olga Mineeva, Mateo Rojas-Carulla, Ruth E. Ley, Bernhard Schölkopf, Nicholas D. Youngblut:
DeepMAsED: evaluating the quality of metagenomic assemblies. Bioinform. 36(10): 3011-3017 (2020) - [j1]Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva:
(1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. J. Mach. Learn. Res. 21: 72:1-72:22 (2020)
2010 – 2019
- 2019
- [i1]Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva:
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. CoRR abs/1906.06096 (2019)
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