Piotr Szymanski
Piotr Szymanski
Wroclaw University of Science and Technology
Zweryfikowany adres z pwr.edu.pl - Strona główna
Cytowane przez
Cytowane przez
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
A network perspective on stratification of multi-label data
P Szymański, T Kajdanowicz
First International Workshop on Learning with Imbalanced Domains: Theory and …, 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
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
Punctuation prediction model for conversational speech
P Żelasko, P Szymański, J Mizgajski, A Szymczak, Y Carmiel, N Dehak
arXiv preprint arXiv:1807.00543, 2018
Comprehensive study on lexicon-based ensemble classification sentiment analysis
Ł Augustyniak, P Szymański, T Kajdanowicz, W Tuligłowicz
Entropy 18 (1), 4, 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
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
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
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
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
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
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
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
LNEMLC: Label network embeddings for multi-label classification
P Szymański, T Kajdanowicz, N Chawla
arXiv preprint arXiv:1812.02956, 2018
Improved DeepFake Detection Using Whisper Features
P Kawa, M Plata, M Czuba, P Szymański, P Syga
arXiv preprint arXiv:2306.01428, 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
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
Is the best better? Bayesian statistical model comparison for natural language processing
P Szymański, K Gorman
arXiv preprint arXiv:2010.03088, 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
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