Scikit-multilearn: a scikit-based Python environment for performing multi-label classification P Szymański, T Kajdanowicz Journal of Machine Learning Research 20 (6), 1-22, 2019 | 303* | 2019 |
A network perspective on stratification of multi-label data P Szymański, T Kajdanowicz First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017 | 99 | 2017 |
Mitigation and herd immunity strategy for COVID-19 is likely to fail B Adamik, M Bawiec, V Bezborodov, W Bock, M Bodych, JP Burgard, ... MedRxiv, 2020.03. 25.20043109, 2020 | 67 | 2020 |
How is a data-driven approach better than random choice in label space division for multi-label classification? P Szymański, T Kajdanowicz, K Kersting Entropy 18 (8), 282, 2016 | 66 | 2016 |
Punctuation prediction model for conversational speech P Żelasko, P Szymański, J Mizgajski, A Szymczak, Y Carmiel, N Dehak arXiv preprint arXiv:1807.00543, 2018 | 59 | 2018 |
Comprehensive study on lexicon-based ensemble classification sentiment analysis Ł Augustyniak, P Szymański, T Kajdanowicz, W Tuligłowicz Entropy 18 (1), 4, 2015 | 52 | 2015 |
WER we are and WER we think we are P Szymański, P Żelasko, M Morzy, A Szymczak, M Żyła-Hoppe, ... arXiv preprint arXiv:2010.03432, 2020 | 44 | 2020 |
Simpler is Better? Lexicon-based Ensemble Sentiment Classification Beats Supervised Methods L Augustyniak, T Kajdanowicz, P Szymański, W Tuligłowicz, P Kazienko, ... International Workshop on Curbing Collusive Cyber-gossips in Social Networks …, 2014 | 43 | 2014 |
Hex2vec: Context-aware embedding h3 hexagons with openstreetmap tags S Woźniak, P Szymański Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for …, 2021 | 26 | 2021 |
Assessing the usefulness of dense sensor network for PM2. 5 monitoring on an academic campus area M Badura, I Sówka, P Szymański, P Batog Science of the total environment 722, 137867, 2020 | 23 | 2020 |
Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wroclaw P Szymanski, M Zolnieruk, P Oleszczyk, I Gisterek, T Kajdanowicz IEEE Transactions On Intelligent Transportation Systems 19 (11), 2018 | 19 | 2018 |
The use of the GIS tools in the analysis of air quality on the selected University campus in Poland I Sówka, M Badura, M Pawnuk, P Szymański, P Batog Archives of Environmental Protection 46 (1), 2020 | 15 | 2020 |
Punctuation prediction in spontaneous conversations: Can we mitigate asr errors with retrofitted word embeddings? Ł Augustyniak, P Szymanski, M Morzy, P Zelasko, A Szymczak, ... arXiv preprint arXiv:2004.05985, 2020 | 10 | 2020 |
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish L Augustyniak, K Tagowski, A Sawczyn, D Janiak, R Bartusiak, ... Advances in Neural Information Processing Systems 35, 21805-21818, 2022 | 9 | 2022 |
LNEMLC: Label network embeddings for multi-label classification P Szymański, T Kajdanowicz, N Chawla arXiv preprint arXiv:1812.02956, 2018 | 9 | 2018 |
Improved DeepFake Detection Using Whisper Features P Kawa, M Plata, M Czuba, P Szymański, P Syga arXiv preprint arXiv:2306.01428, 2023 | 8 | 2023 |
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 |
Return on investment in machine learning: Crossing the chasm between academia and business J Mizgajski, A Szymczak, M Morzy, Ł Augustyniak, P Szymański, ... Foundations of Computing and Decision Sciences 45 (4), 281-304, 2020 | 4 | 2020 |
Is the best better? Bayesian statistical model comparison for natural language processing P Szymański, K Gorman arXiv preprint arXiv:2010.03088, 2020 | 4 | 2020 |
Sensor network for PM2. 5 measurements on an academic campus area M Badura, I Sówka, P Batog, P Szymański, Ł Dąbrowski E3S Web of Conferences 116, 00004, 2019 | 4 | 2019 |