Traffic4cast at neurips 2021-temporal and spatial few-shot transfer learning in gridded geo-spatial processes C Eichenberger, M Neun, H Martin, P Herruzo, M Spanring, Y Lu, S Choi, ... NeurIPS 2021 Competitions and Demonstrations Track, 97-112, 2022 | 16 | 2022 |
Lipophilicity prediction with multitask learning and molecular substructures representation N Lukashina, A Alenicheva, E Vlasova, A Kondiukov, A Khakimova, ... arXiv preprint arXiv:2011.12117, 2020 | 10 | 2020 |
SimVec: predicting polypharmacy side effects for new drugs N Lukashina, E Kartysheva, O Spjuth, E Virko, A Shpilman Journal of Cheminformatics 14 (1), 49, 2022 | 6 | 2022 |
Integrating statistical and machine-learning approach for meta-analysis of bisphenol A-exposure datasets reveals effects on mouse gene expression within pathways of apoptosis … N Lukashina, MJ Williams, E Kartysheva, E Virko, B Kudłak, R Fredriksson, ... International Journal of Molecular Sciences 22 (19), 10785, 2021 | 4 | 2021 |
Solving Traffic4Cast competition with U-Net and temporal domain adaptation V Konyakhin, N Lukashina, A Shpilman arXiv preprint arXiv:2111.03421, 2021 | 3 | 2021 |
FARM: hierarchical association rule mining and visualization method P Tsurinov, O Shpynov, N Lukashina, D Likholetova, M Artyomov Proceedings of the 12th ACM conference on bioinformatics, computational …, 2021 | 3 | 2021 |
Structure-Aware E (3)-Invariant Molecular Conformer Aggregation Networks DMH Nguyen, N Lukashina, T Nguyen, AT Le, TT Nguyen, N Ho, J Peters, ... arXiv preprint arXiv:2402.01975, 2024 | | 2024 |