| 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 | 67* | 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 | 58 | 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 | 27 | 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 | 8* | |
| 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 | 1 | 2024 |
| Machine Unlearning for Recommendation Systems: An Insight B Sachdeva, H Rathee, A Sharma, W Wydmański arXiv preprint arXiv:2401.10942, 2024 | 1 | 2024 |
Paweł P. Łabaj, PhD, DScJagiellonian University, MCB; MetaSUB&SEQC; OeAW&Boku ViennaVerified email at uj.edu.pl
