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Mateusz Lango
Mateusz Lango
Charles University / Poznan University of Technology
Verified email at cs.put.poznan.pl
Title
Cited by
Cited by
Year
Multi-class and feature selection extensions of roughly balanced bagging for imbalanced data
M Lango, J Stefanowski
Journal of Intelligent Information Systems 50, 97-127, 2018
932018
Relationship between the session-RPE and external measures of training load in youth soccer training
J Marynowicz, K Kikut, M Lango, D Horna, M Andrzejewski
The Journal of Strength & Conditioning Research 34 (10), 2800-2804, 2020
532020
Using information on class interrelations to improve classification of multiclass imbalanced data: a new resampling algorithm
M Janicka, M Lango, J Stefanowski
International Journal of Applied Mathematics and Computer Science 29 (4), 2019
502019
What makes multi-class imbalanced problems difficult? An experimental study
M Lango, J Stefanowski
Expert Systems with Applications 199, 116962, 2022
362022
Tackling the problem of class imbalance in multi-class sentiment classification: an experimental study
M Lango
Foundations of Computing and Decision Sciences 44 (2), 151-178, 2019
352019
PUT at SemEval-2016 Task 4: The ABC of Twitter sentiment analysis
M Lango, D Brzezinski, J Stefanowski
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
182016
Evaluating difficulty of multi-class imbalanced data
M Lango, K Napierala, J Stefanowski
Foundations of Intelligent Systems: 23rd International Symposium, ISMIS 2017 …, 2017
142017
Semi-automatic construction of word-formation networks (for polish and spanish)
M Lango, M Ševčíková, Z Žabokrtský
Proceedings of the Eleventh International Conference on Language Resources …, 2018
132018
Semi-automatic construction of word-formation networks
M Lango, Z Žabokrtský, M Ševčíková
Language Resources and Evaluation 55 (1), 3-32, 2021
122021
Predicting ratings of perceived exertion in youth soccer using decision tree models
J Marynowicz, M Lango, D Horna, K Kikut, M Andrzejewski
Biology of sport 39 (2), 245-252, 2022
112022
multi-imbalance: Open Source Python Toolbox for Multi-class Imbalanced Classification
J Grycza, D Horna, H Klimczak, M Lango, K Pluciński, J Stefanowski
Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021
72021
Imweights: classifying imbalanced data using local and neighborhood information
M Lango, D Brzezinski, J Stefanowski
Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018
72018
Discovering minority sub-clusters and local difficulty factors from imbalanced data
M Lango, D Brzezinski, S Firlik, J Stefanowski
Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan …, 2017
72017
Diversity analysis on imbalanced data using neighbourhood and roughly balanced bagging ensembles
J Błaszczyński, M Lango
Artificial Intelligence and Soft Computing: 15th International Conference …, 2016
72016
Leak, cheat, repeat: Data contamination and evaluation malpractices in closed-source LLMs
S Balloccu, P Schmidtová, M Lango, O Dušek
arXiv preprint arXiv:2402.03927, 2024
62024
Time aspect in making an actionable prediction of a conversation breakdown
P Janiszewski, M Lango, J Stefanowski
Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021
62021
SOUP-Bagging: a new approach for multi-class imbalanced data classification
M Lango, J Stefanowski
Proceedings of the 2nd Polish Conference on Artificial Intelligence PP-RAI'19, 2019
6*2019
The usefulness of roughly balanced bagging for complex and high-dimensional imbalanced data
M Lango, J Stefanowski
New Frontiers in Mining Complex Patterns: 4th International Workshop, NFMCP …, 2016
62016
Prototypical convolutional neural network for a phrase-based explanation of sentiment classification
K Pluciński, M Lango, J Stefanowski
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
42021
Three Ways of Using Large Language Models to Evaluate Chat
O Plátek, V Hudeček, P Schmidtová, M Lango, O Dušek
11th Dialog System Technology Challenge (DSTC-WS 2023) co-located with …, 2023
32023
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