Piotr Szymanski

According to our database, Piotr Szymanski authored at least 32 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Improved DeepFake Detection Using Whisper Features.

Piotr Kawa, Marcin Plata, Michal Czuba, Piotr Szymanski, Piotr Syga

CoRR, 2023

Map Diffusion - Text Promptable Map Generation Diffusion Model.

Marcin Przymus, Piotr Szymanski

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI, 2023

SRAI: Towards Standardization of Geospatial AI.

Piotr Gramacki, Kacper Lesniara, Kamil Raczycki, Szymon Wozniak, Marcin Przymus, Piotr Szymanski

Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

highway2vec: representing OpenStreetMap microregions with respect to their road network characteristics.

Kacper Lesniara, Piotr Szymanski

Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022

2021

hex2vec: Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags.

Szymon Wozniak, Piotr Szymanski

Proceedings of the GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021

Spatial data mining of public transport incidents reported in social media.

Kamil Raczycki, Marcin Szymanski, Yahor Yeliseyenka, Piotr Szymanski, Tomasz Kajdanowicz

Proceedings of the IWCTS@SIGSPATIAL 2021: Proceedings of the 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2021

Transfer learning approach to bicycle-sharing systems' station location planning using OpenStreetMap data.

Kamil Raczycki, Piotr Szymanski

Proceedings of the ARIC@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, 2021

gtfs2vec: Learning GTFS Embeddings for comparing Public Transport Offer in Microregions.

Piotr Gramacki, Szymon Wozniak, Piotr Szymanski

Proceedings of the GeoSearch'21: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2021

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

Proceedings of the Interspeech 2020, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing.

Piotr Szymanski, Kyle Gorman

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

scikit-multilearn: A Python library for Multi-Label Classification.

Piotr Szymanski, Tomasz Kajdanowicz

J. Mach. Learn. Res., 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

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, Bartosz Borowik, Adam Artajew, Marcin Baran, Cezary Kwiatkowski, Marzena Zyla-Hoppe

Proceedings of the Interspeech 2019, 2019

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

LNEMLC: Label Network Embeddings for Multi-Label Classifiation.

Piotr Szymanski, Tomasz Kajdanowicz, Nitesh V. Chawla

CoRR, 2018

Arterial Flows in Bronchopulmonary Dysplasia Prediction.

Wieslaw Wajs, Piotr Kruczek, Piotr Szymanski, Piotr Wais, Marcin Ochab

Proceedings of the Information Technology in Biomedicine, 2018

Punctuation Prediction Model for Conversational Speech.

Piotr Zelasko, Piotr Szymanski, Jan Mizgajski, Adrian Szymczak, Yishay Carmiel, Najim Dehak

Proceedings of the Interspeech 2018, 2018

Newborn Arterial Blood Gas Prediction.

Wieslaw Wajs, Piotr Kruczek, Piotr Szymanski, Magdalena Bukowczan, Piotr Wais, Marcin Ochab

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017

A scikit-based Python environment for performing multi-label classification.

Piotr Szymanski, Tomasz Kajdanowicz

CoRR, 2017

A Network Perspective on Stratification of Multi-Label Data.

Piotr Szymanski, Tomasz Kajdanowicz

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Is a Data-Driven Approach Still Better Than Random Choice with Naive Bayes Classifiers?

Piotr Szymanski, Tomasz Kajdanowicz

Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

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

Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis.

Lukasz Augustyniak, Piotr Szymanski, Tomasz Kajdanowicz, Wlodzimierz Tuliglowicz

Entropy, 2016

Fast and Accurate - Improving Lexicon-Based Sentiment Classification with an Ensemble Methods.

Lukasz Augustyniak, Piotr Szymanski, Tomasz Kajdanowicz, Przemyslaw Kazienko

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2014

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

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

MLG: Enchancing Multi-label Classification with Modularity-Based Label Grouping.

Piotr Szymanski, Tomasz Kajdanowicz

Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

1997

Modelling cardiac patient set residuals using rough sets.

Aleksander Øhrn, Staal Amund Vinterbo, Piotr Szymanski, Jan Komorowski

Proceedings of the AMIA 1997, 1997