| NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation KDD Kuma, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... Northern European Journal of Language Technology, 2021 | 78* | 2021 |
| Contention Window Optimization in IEEE 802.11 ax Networks with Deep Reinforcement Learning W Wydmański, S Szott 2021 IEEE Wireless Communications and Networking Conference (WCNC), 2020 | 69 | 2020 |
| Expansion of a SARS-CoV-2 Delta variant with an 872 nt deletion encompassing ORF7a, ORF7b and ORF8, Poland, July to August 2021 N Mazur-Panasiuk, L Rabalski, T Gromowski, G Nowicki, M Kowalski, ... Eurosurveillance 26 (39), 2100902, 2021 | 28 | 2021 |
| HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets W Wydmański, O Bulenok, M Śmieja The 10th IEEE International Conference on Data Science and Advanced Analytics, 0 | 14* | |
| Gut microbiome dynamics and predictive value in hospitalized COVID-19 patients: a comparative analysis of shallow and deep shotgun sequencing K Kopera, T Gromowski, W Wydmański, K Skonieczna-Żydecka, ... Frontiers in Microbiology 15, 1342749, 2024 | 4 | 2024 |
| Machine unlearning for recommendation systems: An insight B Sachdeva, H Rathee, Sristi, A Sharma, W Wydmański International Conference On Innovative Computing And Communication, 415-430, 2024 | 3 | 2024 |
| VisTabNet: Adapting Vision Transformers for Tabular Data W Wydmański, U Movsum-zada, J Tabor, M Śmieja arXiv preprint arXiv:2501.00057, 2024 | | 2024 |
| Large protein databases reveal structural complementarity and functional locality P Szczerbiak, LM Szydlowski, W Wydmański, PD Renfrew, ... bioRxiv, 2024.08. 14.607935, 2024 | | 2024 |
Paweł P. Łabaj, PhD, DScJagiellonian University, MCB; MetaSUB&SEQC; OeAW&Boku ViennaE-mail megerősítve itt: uj.edu.pl