Piotr Szymanski
Piotr Szymanski
Wroclaw University of Science and Technology, illimites foundation
Verified email at pwr.wroc.pl - Homepage
Cited by
Cited by
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
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
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
Comprehensive study on lexicon-based ensemble classification sentiment analysis
Ł Augustyniak, P Szymański, T Kajdanowicz, W Tuligłowicz
Entropy 18 (1), 4, 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
A network perspective on stratification of multi-label data
P Szymański, T Kajdanowicz
arXiv preprint arXiv:1704.08756, 2017
Mitigation and herd immunity strategy for COVID-19 is likely to fail
B Adamik, M Bawiec, V Bezborodov, W Bock, M Bodych, J Burgard, ...
medRxiv (preprint) Available at: https://doi. org/10.1101/2020.03 25, 2020
Sensor network for PM2. 5 measurements on an academic campus area
M Badura, I Sówka, P Batog, P Szymański, Ł D±browski
E3S Web of Conferences 116, 00004, 2019
Mitigation and herd immunity strategy for COVID-19 is likely to fail
W Bock, B Adamik, M Bawiec, V Bezborodov, M Bodych, JP Burgard, ...
medRxiv, 2020
LNEMLC: Label network embeddings for multi-label classification
P Szymański, T Kajdanowicz, N Chawla
arXiv preprint arXiv:1812.02956, 2018
Spatio-temporal profiling of public transport delays based on large scale vehicle positioning data from GPS in Wrocław
P Szymański, M Żołnieruk, P Oleszczyk, I Gisterek, T Kajdanowicz
arXiv preprint arXiv:1707.07913, 2017
Fast and accurate-improving lexicon-based sentiment classification with an Ensemble Methods
Ł Augustyniak, P Szymański, T Kajdanowicz, P Kazienko
Asian Conference on Intelligent Information and Database Systems, 108-116, 2016
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
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), 100--106, 2020
Is a Data-Driven Approach still Better than Random Choice with Naive Bayes classifiers?
P Szymański, T Kajdanowicz
Asian Conference on Intelligent Information and Database Systems, 792-801, 2017
MLG: Enchancing multi-label classification with modularity-based label grouping
P Szymański, T Kajdanowicz
International Conference on Hybrid Artificial Intelligence Systems, 431-440, 2013
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
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations
J Mizgajski, A Szymczak, R Głowski, P Szymański, P Żelasko, ...
arXiv preprint arXiv:1909.02851, 2019
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
P Żelasko, J Mizgajski, M Morzy, A Szymczak, P Szymański, ...
arXiv preprint arXiv:1908.07888, 2019
Analiza relacji głosów na ogólnomiejskie projekty w stosunku do głosów rejonowych we Wrocławskim Budżecie Obywatelskim
P Szymański
SocArXiv, 2017
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