Gtfs2vec: Learning GTFS Embeddings for Comparing Public Transport Offer in Microregions P Gramacki, S Woźniak, P Szymański Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching …, 2021 | 4 | 2021 |
SRAI: Towards Standardization of Geospatial AI P Gramacki, K Leśniara, K Raczycki, S Woźniak, M Przymus, P Szymański Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for …, 2023 | 1 | 2023 |
Resources and Few-shot Learners for In-context Learning in Slavic Languages M Štefánik, M Kadlčík, P Gramacki, P Sojka arXiv preprint arXiv:2304.01922, 2023 | 1 | 2023 |
Utilizing OSM data in geospatial representation learning P Gramacki, K Leśniara, K Raczycki, S Woźniak, P Szymański Proceedings of the OSM Science, 45-48, 2023 | 1 | 2023 |
Assessment of massively multilingual sentiment classifiers K Rajda, Ł Augustyniak, P Gramacki, M Gruza, S Woźniak, T Kajdanowicz arXiv preprint arXiv:2204.04937, 2022 | 1 | 2022 |
Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark L Augustyniak, S Woźniak, M Gruza, P Gramacki, K Rajda, M Morzy, ... Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Unsupervised embedding and similarity detection of microregions using public transport schedules P Gramacki arXiv preprint arXiv:2111.02405, 2021 | | 2021 |