Modelling cardiac patient set residuals using rough sets. - Aleksander Øhrn; Staal Amund Vinterbo; Piotr Szymanski; Jan Komorowski (AMIA, 1997)

MLG: Enchancing Multi-label Classification with Modularity-Based Label Grouping. - Piotr Szymanski; Tomasz Kajdanowicz (HAIS, 2013)

Simpler is better? Lexicon-based ensemble sentiment classification beats supervised methods. - Lukasz Augustyniak; Tomasz Kajdanowicz; Piotr Szymanski; Wlodzimierz Tuliglowicz; Przemyslaw Kazienko; Reda Alhajj; Boleslaw K. Szymanski (ASONAM, 2014)

Fast and Accurate - Improving Lexicon-Based Sentiment Classification with an Ensemble Methods. - Lukasz Augustyniak; Piotr Szymanski; Tomasz Kajdanowicz; Przemyslaw Kazienko (ACIIDS (2), 2016)

Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis. - Lukasz Augustyniak; Piotr Szymanski; Tomasz Kajdanowicz; Wlodzimierz Tuliglowicz (Entropy, 2016)

How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification? - Piotr Szymanski; Tomasz Kajdanowicz; Kristian Kersting (Entropy, 2016)

Is a Data-Driven Approach Still Better Than Random Choice with Naive Bayes Classifiers? - Piotr Szymanski; Tomasz Kajdanowicz (ACIIDS (1), 2017)

A Network Perspective on Stratification of Multi-Label Data. - Piotr Szymanski; Tomasz Kajdanowicz (LIDTA@PKDD/ECML, 2017)

A scikit-based Python environment for performing multi-label classification. - Piotr Szymanski; Tomasz Kajdanowicz (CoRR, 2017)

Newborn Arterial Blood Gas Prediction. - Wieslaw Wajs; Piotr Kruczek; Piotr Szymanski; Magdalena Bukowczan; Piotr Wais; Marcin Ochab (CISP-BMEI, 2018)

Punctuation Prediction Model for Conversational Speech. - Piotr Zelasko; Piotr Szymanski; Jan Mizgajski; Adrian Szymczak; Yishay Carmiel; Najim Dehak (INTERSPEECH, 2018)

Arterial Flows in Bronchopulmonary Dysplasia Prediction. - Wieslaw Wajs; Piotr Kruczek; Piotr Szymanski; Piotr Wais; Marcin Ochab (ITIB, 2018)

LNEMLC: Label Network Embeddings for Multi-Label Classifiation. - Piotr Szymanski; Tomasz Kajdanowicz; Nitesh V. Chawla (CoRR, 2018)

Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wrocław. - Piotr Szymanski; Michal Zolnieruk; Piotr Oleszczyk; Igor Gisterek; Tomasz Kajdanowicz (IEEE Trans. Intell. Transp. Syst., 2018)

Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations. - Jan Mizgajski; Adrian Szymczak; Robert Glowski; Piotr Szymanski; Piotr Zelasko; Lukasz Augustyniak; Mikolaj Morzy; Yishay Carmiel; Jeff Hodson; Lukasz Wójciak; Daniel Smoczyk; Adam Wróbel; et al. (INTERSPEECH, 2019)

Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition. - Piotr Zelasko; Jan Mizgajski; Mikolaj Morzy; Adrian Szymczak; Piotr Szymanski; Lukasz Augustyniak; Yishay Carmiel (CoRR, 2019)

scikit-multilearn: A Python library for Multi-Label Classification. - Piotr Szymanski; Tomasz Kajdanowicz (J. Mach. Learn. Res., 2019)

Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing. - Piotr Szymanski; Kyle Gorman (EMNLP (1), 2020)

WER we are and WER we think we are. - Piotr Szymanski; Piotr Zelasko; Mikolaj Morzy; Adrian Szymczak; Marzena Zyla-Hoppe; Joanna Banaszczak; Lukasz Augustyniak; Jan Mizgajski; Yishay Carmiel (EMNLP (Findings), 2020)

Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings? - Lukasz Augustyniak; Piotr Szymanski; Mikolaj Morzy; Piotr Zelasko; Adrian Szymczak; Jan Mizgajski; Yishay Carmiel; Najim Dehak (INTERSPEECH, 2020)

gtfs2vec: Learning GTFS Embeddings for comparing Public Transport Offer in Microregions. - Piotr Gramacki; Szymon Wozniak; Piotr Szymanski (GeoSearch@SIGSPATIAL, 2021)

Transfer learning approach to bicycle-sharing systems' station location planning using OpenStreetMap data. - Kamil Raczycki; Piotr Szymanski (ARIC@SIGSPATIAL, 2021)

Spatial data mining of public transport incidents reported in social media. - Kamil Raczycki; Marcin Szymanski; Yahor Yeliseyenka; Piotr Szymanski; Tomasz Kajdanowicz (IWCTS@SIGSPATIAL, 2021)

hex2vec: Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags. - Szymon Wozniak; Piotr Szymanski (GeoAI@SIGSPATIAL, 2021)

highway2vec: representing OpenStreetMap microregions with respect to their road network characteristics. - Kacper Lesniara; Piotr Szymanski (GeoAI@SIGSPATIAL, 2022)

This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish. - Lukasz Augustyniak; Kamil Tagowski; Albert Sawczyn; Denis Janiak; Roman Bartusiak; Adrian Szymczak; Arkadiusz Janz; Piotr Szymanski; Marcin Watroba; Mikolaj Morzy; Tomasz Kajdanowicz; Maciej Piasecki (NeurIPS, 2022)

Community Heroes and Sleeping Members: Interdependency of the Tenets of Energy Justice. - Mandi Astola; Erik Laes; Gunter Bombaerts; Bozena Ryszawska; Magdalena Rozwadowska; Piotr Szymanski; Anja Ruess; Sophie Nyborg; Meiken Hansen (Sci. Eng. Ethics, 2022)

Correction: Community Heroes and Sleeping Members: Interdependency of the Tenets of Energy Justice. - Mandi Astola; Erik Laes; Gunter Bombaerts; Bozena Ryszawska; Magdalena Rozwadowska; Piotr Szymanski; Anja Ruess; Sophie Nyborg; Meiken Hansen (Sci. Eng. Ethics, 2022)

Why Aren't We NER Yet? Artifacts of ASR Errors in Named Entity Recognition in Spontaneous Speech Transcripts. - Piotr Szymanski; Lukasz Augustyniak; Mikolaj Morzy; Adrian Szymczak; Krzysztof Surdyk; Piotr Zelasko (ACL (1), 2023)

SRAI: Towards Standardization of Geospatial AI. - Piotr Gramacki; Kacper Lesniara; Kamil Raczycki; Szymon Wozniak; Marcin Przymus; Piotr Szymanski (GeoAI@SIGSPATIAL, 2023)

Improved DeepFake Detection Using Whisper Features. - Piotr Kawa; Marcin Plata; Michal Czuba; Piotr Szymanski; Piotr Syga (INTERSPEECH, 2023)

Map Diffusion - Text Promptable Map Generation Diffusion Model. - Marcin Przymus; Piotr Szymanski (UrbanAI@SIGSPATIAL, 2023)

Evaluation of Code LLMs on Geospatial Code Generation. - Piotr Gramacki; Bruno Martins 001; Piotr Szymanski (GeoAI@SIGSPATIAL, 2024)

Evaluation of Code LLMs on Geospatial Code Generation. - Piotr Gramacki; Bruno Martins; Piotr Szymanski (CoRR, 2024)

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis. - Bruno Martins; Piotr Szymanski; Piotr Gramacki (CoRR, 2025)