1.

Boosting Dual Quality detection with AI-based social media analysis / Maksim Brzeziński (WIiT), Maciej Niemir (WIZ), Krzysztof Muszyński, Mateusz Lango (WIiT), Dawid Wiśniewski (WIiT) // Information Processing and Management - 2025, vol. 62, iss. 4, p. 104138-1-104138-18

Scientific article 140 6,9

2.

Fine-Tuning Fine-Tuned Models: Towards a Practical Methodology for Sentiment Analysis with Small In-Domain Supervised Dataset / Iwo Naglik (WIiT), Mateusz Lango (WIiT) // W: Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part XII / red. Mufti Mahmud - Singapore, Singapore : Springer, 2025

Chapter in monograph / paper 20 70

3.

Multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers / Jerzy Stefanowski (WIiT), Mateusz Lango (WIiT), Ignacy Stępka (WIiT) // International Journal of Applied Mathematics and Computer Science - 2024, vol. 34, no. 1, p. 119-133

Scientific article 100 1,2

4.

ASTE-Transformer: Modelling Dependencies in Aspect-Sentiment Triplet Extraction / Iwo Naglik (WIiT), Mateusz Lango (WIiT) // W: The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024 / red. Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen: Association for Computational Linguistics, 2024 - p. 2324-2339

Chapter in monograph / paper 20 140

5.

Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach / Adam Wojciechowski (WIiT), Mateusz Lango (WIiT), Ondřej Dušek // W: The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024 / red. Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen: Association for Computational Linguistics, 2024 - p. 2340-2351

Chapter in monograph / paper 20 140

6.

GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data / Iwo Naglik (WIiT), Mateusz Lango (WIiT) // Machine Learning - 2024, vol. 113, p. 5183-5202

Scientific article 140 2,9

7.

Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs / Simone Balloccu, Patrícia Schmidtová, Mateusz Lango (WIiT), Ondrej Dusek // W: The 18th Conference of the European Chapter of the Association for Computational Linguistics EACL 2024 : Proceedings of the Conference, Vol. 1 (Long Papers) / red. Yvette Graham, Matthew Purver: Association for Computational Linguistics, 2024 - p. 67-93

Chapter in monograph / paper 20 140

8.

Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems / Jędrzej Warczyński (WIiT), Mateusz Lango (WIiT), Ondřej Dušek // W: Proceedings of the 17th International Natural Language Generation Conference INLG 2024, September 23-27, 2024 / red. Saad Mahamood, Nguyen Le Minh, Daphne Ippolito: Association for Computational Linguistics, 2024 - p. 622-630

Chapter in monograph / paper 20 70

9.

Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish / Marta Lango, Borys Naglik, Mateusz Lango (WIiT), Iwo Naglik (WIiT) // W: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) / red. Nicoletta Calzolari: ELRA ; ICCL, 2024 - p. 12821-12828

Chapter in monograph / paper 5 140

10.

ReproHum #0043-4: Evaluating Summarization Models: investigating the impact of education and language proficiency on reproducibility / Mateusz Lango (WIiT), Patricia Schmidtová, Simone Balloccu, Ondrej Dusek // W: Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024 / red. Simone Balloccu: ELRA ; ICCL, 2024 - p. 229-237

Chapter in monograph / paper 5 140

11.

The 2nd Workshop on Practical LLM-assisted Data-to-Text Generation : Proceedings of the Workshop, September 23, 2024 / red. Simone Balloccu, Zdeněk Kasner, Ondřej Plátek, Patrícia Schmidtová, Kristýna Onderková, Mateusz Lango (WIiT), Ondřej Dušek, Lucie Flek, Ehud Reiter, Dimitra Gkatzia, Simone Mille: Association for Computational Linguistics, 2024

Editing of scientific monograph / conference proceedings 20

12.

Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait / Mateusz Woźny (WIiT), Mateusz Lango (WIiT) // W: The 17th International Workshop on Semantic Evaluation (SemEval-2023) : Proceedings of the Workshop / red. Atul Kr. Ojha - Toronto, Canada : Association for Computational Linguistics, 2023 - p. 1470-1475

Chapter in monograph / paper 20 200

13.

Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation / Mateusz Lango (WIiT), Ondrej Dusek // W: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing / red. Houda Bouamor, Juan Pino, Kalika Bali - Stroudsburg, USA : Association for Computational Linguistics, 2023 - p. 2853-2862

Chapter in monograph / paper 20 140

14.

Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance / Damian Horna (WIiT), Mateusz Lango (WIiT), Jerzy Stefanowski (WIiT) // W: Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, ECML-PKDD, Turin, Italy / red. Nuno Moniz: MLResearchPress, 2023 - p. 1-15

Chapter in monograph / paper 5 140

15.

Exploiting Phrase Interrelations in Span-level Neural Approaches for Aspect Sentiment Triplet Extraction / Iwo Naglik (WIiT), Mateusz Lango (WIiT) // W: Advances in Knowledge Discovery and Data Mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part IV / red. Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng - Cham, Switzerland : Springer, 2023 - p. 222-233

Chapter in monograph / paper 20 140

16.

Generating clickbait spoilers with an ensemble of large language models / Mateusz Woźny (WIiT), Mateusz Lango (WIiT) // W: Proceedings of the 16th International Natural Language Generation Conference / red. C. Maria Keet, Hung-Yi Lee, Sina Zarrieß - Prague, Czech Republic : Association for Computational Linguistics, 2023 - p. 431-436

Chapter in monograph / paper 20 70

17.

On usefulness of dominance relation for selecting counterfactuals from the ensemble of explainers / Ignacy Stępka (WIiT), Mateusz Lango (WIiT), Jerzy Stefanowski (WIiT) // W: Progress in Polish Artificial Intelligence Research 4 / red. Adam Wojciechowski, Piotr Lipiński - Łódź, Polska : Wydawnictwo Politechniki Łódzkiej, 2023 - p. 125-130

Chapter in monograph / paper 20

18.

The Problem of Coherence in Natural Language Explanations of Recommendations / Jakub Raczyński (WIiT), Mateusz Lango (WIiT), Jerzy Stefanowski (WIiT) // W: ECAI 2023 : 26th European Conference on Artificial Intelligence, September 30 – October 4, 2023, Kraków, Poland – Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023) / red. K. Gal: IOS Press, 2023 - p. 1922-1929

Chapter in monograph / paper 20 140

19.

Three Ways of Using Large Language Models to Evaluate Chat / Ondřej Plátek, Vojtĕch Hudeček, Patricia Schmidtová, Mateusz Lango (WIiT), Ondřej Dušek // W: Proceedings of the Eleventh Dialog System Technology Challenge / red. Yun-Nung Chen - Prague, Czech Republic : Association for Computational Linguistics (ACL), 2023 - p. 113-122

Chapter in monograph / paper 5 70

20.

With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector / Ondrej Platek, Mateusz Lango (WIiT), Ondrej Dusek // W: Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems : associated with the 14th International Conference on Recent Advances in Natural Language Processing’2023, 7 September 2023, Varna, Bulgaria: INCOMA Ltd., 2023 - p. 145-152

Chapter in monograph / paper 5 20

21.

Within-Subject Principal Component Analysis of External Training Load and Intensity Measures in Youth Soccer Training / Jakub Marynowicz, Mateusz Lango (WIiT), Damian Horna (WIiT), Karol Kikut, Marek Konefał, Paweł Chmura, Marcin Andrzejewski // Journal of Strength and Conditioning Research - 2023, vol. 37, no. 12, p. 2411-2416

Scientific article 100 2,5

22.

Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks / Adam Wojciechowski (WIiT), Mateusz Lango (WIiT) // W: Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications / red. Nuno Moniz: MLResearchPress, 2022 - p. 98-111

Chapter in monograph / paper 5 140

23.

Can reinforcement learning agents be e-teachers? Application of machine learning in education / Marcin Andrzejewski (WIiT), Aleksander Iżemski (WIiT), Piotr Linkowski (WIiT), Kamil Pluciński (WIiT), Eryk Szpotański (WIiT), Mateusz Lango (WIiT), Krzysztof Jędrzejewski // W: Proceedings of the 3rd Polish Conference on Artificial Intelligence PP-RAI'2022, April 25-27, 2022, Gdynia, Poland - Gdynia, Polska : Uniwersytet Morski w Gdyni, 2022 - p. 195-198

Chapter in monograph / paper 20

24.

Predicting ratings of perceived exertion in youth soccer using decision tree models / Jakub Marynowicz, Mateusz Lango (WIiT), Damian Horna (WIiT), Karol Kikut, Marcin Andrzejewski // Biology of Sport - 2022, vol. 39, no. 2, p. 245-252

Scientific article 140 5,6

25.

What makes multi-class imbalanced problems difficult? An experimental study / Mateusz Lango (WIiT), Jerzy Stefanowski (WIiT) // Expert Systems with Applications - 2022, vol. 199, p. 116962-1-116962-13

Scientific article 140 8,5

26.

multi-imbalance: Open Source Python Toolbox for Multi-class Imbalanced Classification / Jacek Grycza (WIiT), Damian Horna (WIiT), Hanna Klimczak (WIiT), Mateusz Lango (WIiT), Kamil Pluciński (WIiT), Jerzy Stefanowski (WIiT) // W: Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V / red. Yuxiao Dong - Cham, Switzerland : Springer International Publishing, 2021 - p. 546-549

Chapter in monograph / paper 20 140

27.

Prototypical Convolutional Neural Network for a Phrase-Based Explanation of Sentiment Classification / Kamil Pluciński (WIiT), Mateusz Lango (WIiT), Jerzy Stefanowski (WIiT) // W: Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I / red. Michael Kamp - Cham, Switzerland : Springer, 2021 - p. 457-472

Chapter in monograph / paper 20 140

28.

Semi-Automatic Construction of Word-Formation Networks / Mateusz Lango (WIiT), Zdeněk Žabokrtský, Magda Ševčíková // Language Resources and Evaluation - 2021, vol. 55, p. 3-32

Scientific article 70 1,835

29.

Time Aspect in Making an Actionable Prediction of a Conversation Breakdown / Piotr Janiszewski (WIiT), Mateusz Lango (WIiT), Jerzy Stefanowski (WIiT) // W: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part V / red. Yuxiao Dong - Cham, Switzerland : Springer International Publishing, 2021 - p. 351-364

Chapter in monograph / paper 20 140

30.

A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping / Kamil Pluciński (WIiT), Mateusz Lango (WIiT), Michał Zimniewicz // W: Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC-2020) / red. Calzolari Nicoletta: European Language Resources Association, 2020 - p. 5557-5564

Chapter in monograph / paper 5 20

31.

Relationship Between the Session-RPE and External Measures of Training Load in Youth Soccer Training / Jakub Marynowicz, Karol Kikut, Mateusz Lango (WIiT), Damian Horna (WIiT), Marcin Andrzejewski // Journal of Strength and Conditioning Research - 2020, vol. 34, no. 10, p. 2800-2804

Scientific article 100 3,775

32.

SOUP-Bagging: a new approach for multi-class imbalanced data classification / Mateusz Lango (WIiT), Jerzy Stefanowski (WIiT) // W: PP-RAI'2019 Polskie Porozumienie na Rzecz Rozwoju Sztucznej Inteligencji, 16-18.10.2019, Wrocław, Poland : Conference Proceedings - Wrocław, Polska : Department of Systems and Computer Networks, Faculty ofElectronics, Wroclaw University of Science and Technology, 2019

Chapter in monograph / paper 20

33.

Tackling the Problem of Class Imbalance in Multi-class Sentiment Classification: An Experimental Study / Mateusz Lango (WI) // Foundations of Computing and Decision Sciences - 2019, vol. 44, no. 2, p. 151-178

Scientific article 20

34.

Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm / Małgorzata Janicka (WI), Mateusz Lango (WI), Jerzy Stefanowski (WI) // International Journal of Applied Mathematics and Computer Science - 2019, vol. 29, no. 4, p. 769-781

Scientific article 100 0,967

35.

ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information / Mateusz Lango (WI), Dariusz Brzeziński (WI), Jerzy Stefanowski (WI) // W: Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 10 September 2018, ECML-PKDD, Dublin, Ireland / red. Luís Torgo: PMLR, 2018 - p. 95-109

Chapter in monograph / paper 5 140

36.

Multi-class and feature selection extensions of Roughly Balanced Bagging for imbalanced data / Mateusz Lango (WI), Jerzy Stefanowski (WI) // Journal of Intelligent Information Systems - 2018, vol. 50, iss. 1, p. 97-127

Scientific article 20 1,589

37.

Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish) / Mateusz Lango (WI), Magda Ševčíková, Zdenek Žabokrtský // W: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018): European Language Resources Association, 2018 - p. 1853-1860

Chapter in monograph / paper 5 20

38.

Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data / Mateusz Lango (WI), Dariusz Brzeziński (WI), Sebastian Firlik (WI), Jerzy Stefanowski (WI) // W: Discovery Science : 20th International Conference, DS 2017, Kyoto, Japan, October 15–17, 2017 : Proceedings / red. Akihiro Yamamoto - Cham, Switzerland : Springer, 2017 - p. 324-339

Chapter in monograph / paper 20 20

39.

Evaluating difficulty of multi-class imbalanced data / Mateusz Lango (WI), Krystyna Napierała (WI), Jerzy Stefanowski (WI) // W: Foundations of Intelligent Systems : 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017 : Proceedings / red. Marzena Kryszkiewicz - Cham, Switzerland : Springer, 2017 - p. 312-322

Chapter in monograph / paper 20

40.

Diversity Analysis on Imbalanced Data Using Neighbourhood and Roughly Balanced Bagging Ensembles / Jerzy Błaszczyński (WI), Mateusz Lango (WI) // W: Artificial Intelligence and Soft Computing : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016 : Proceedings : Part 1 / red. Leszek Rutkowski - Cham, Switzerland : Springer International Publishing, 2016 - p. 552-562

Paper

41.

The Usefulness of Roughly Balanced Bagging for Complex and High-Dimensional Imbalanced Data / Mateusz Lango (WI), Jerzy Stefanowski (WI) // W: New Frontiers in Mining Complex Patterns : 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015 : Revised Selected Papers / red. Michelangelo Ceci - Cham, Switzerland : Springer International Publishing, 2016 - p. 93-107

Paper